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damidefi

Dami-Defi

Verifiedactive
@damidefi

AI. Former marketing lead at global Top 100 company. Crypto since 2018. Sharing strategies that actually work. All posts are NFA | DYOR.

RosterCrypto & Web3AI Agents & Productivity Tools
98,316 followers · 709 following · Last polled 3h ago
Perf. Score
68.1
Rank #79
Value Score
37.7
#172 of 273 priced
Median views
13K
p25 11K · trailing 7d
Followers
98K
-0.1% 7d
ER (impr.)
1.57%
eng ÷ impressions
ER (foll.)
0.22%
eng ÷ followers
Est. CPM
$54.06
QT-rate basis
WoW views
+3.8%
flat

Rates & value · est. from 13K median organic views

overpriced
Quote tweetbasis
$700
$54.06 / 1K views
Post
—
no CPM
Thread
—
no CPM
Retweet
—
no CPM
Value Score 37.7 · rank #172 of 273 priced$3431.37 / 1K engagementsrate age unknown (pre-audit import)

Trends

Follower growth
Median views / day
Engagement rate
View distribution · trailing-7d posts

Each blue dot is one organic post. The Performance Score ranks by the median (13K), not the mean (14K) — so a single viral post doesn't inflate a creator's reach. The p25 floor (11K) is the level 75% of posts clear.

Recent posts · ranked by views

PostPostedViewsLikesRepostsRepliesQuotesBookmarksER
Stop using Claude to write code Instead use it to understand code nobody has explained. Opus 5.5 can turn reverse engineering from a week of digging into an afternoon of focused work. And the full setup reportedly costs around $5.60. Here's the workflow worth stealing: Map entire codebases to understand an unfamiliar repo, trace data flows, and map dependencies in minutes. Rebuild undocumented APIs by turning captured network traffic into API documentation and a typed TypeScript client. Decode minified JavaScript to make sense of obfuscated code and uncover what its functions actually do. Reverse engineer binaries by using Ghidra with Claude to inspect compiled software and explain its logic. Understand unknown file formats by analyzing sample files to identify their structure and generate a working parser. The setup is what makes this powerful: • Give Claude a dedicated, read-only workspace. • Label every finding CONFIRMED or GUESS. • Save findings to persistent notes. • Keep one long session per project to benefit from cached reads. • Verify its conclusions instead of trusting every inference. One important rule: only analyze software you own, have permission to inspect, or are authorized to study. The real alpha? AI isn't just helping developers build faster. It's helping them understand systems that would otherwise take hours or days to untangle. That opens up serious possibilities for legacy code audits, debugging, API integrations, and software recovery. Read the complete guide for the full setup, configs, and copy-ready promptsfrozen5d ago35K1802119
1
14
0.66%
AI coins. You can only keep one for the rest of the cycle. $LINK $TAO $FET $RENDER $NEAR #VIRTUAL Which one?frozen29d ago33K376281021261.64%
Only 1 of the top 14 non-stablecoin coins finished the last 30 days in the red, and $NEAR more than doubled while the rest of the market crawled. If you invested $10,000 in the top coins 30 days ago, today you would have: $NEAR: $22,283 | +122.83% $ADA: $11,853 | +18.53% $LINK: $11,614 | +16.14% $XMR: $11,031 | +10.31% $SOL: $10,934 | +9.34% $BTC: $10,826 | +8.26% $HYPE: $10,434 | +4.34% $XRP: $10,376 | +3.76% $ZEC: $10,338 | +3.38% $DOGE: $10,287 | +2.87% $BNB: $10,268 | +2.68% $ETH: $10,205 | +2.05% $LEO: $10,166 | +1.66% $TRX: $9,973 | -0.27% $NEAR was the clear outlier at +122.83%, turning $10,000 into more than $22,000. Strip it out and the other 13 coins averaged a gain of just 6.4%, with $ADA and $LINK the only large caps to clear 16%. The majors were quiet by comparison. $BTC added 8.26% while $ETH managed only 2.05%, and $TRX was the lone coin to finish below zero. 𝘋𝘢𝘵𝘢: 𝘊𝘰𝘪𝘯𝘔𝘢𝘳𝘬𝘦𝘵𝘊𝘢𝘱frozen6d ago30K2342320060.95%
$RENDER: $1.92, $889M market cap, +31.54% in 30 days. Network usage is growing, with GPU shortages for the first time since 2018. AI workloads now drive nearly 40% of network activity. The decentralized GPU king is moving. https://t.co/F4On0DZhphfrozen21d ago28K3042312111.23%
$TAO and $NEAR Alone Account for Nearly Half of All Social Engagement Across the Top AI Coins, and $TAO Out-Talks the Bottom Three Combined. Here’s the 24-hour breakdown: $TAO: ~1,450,000 engagements $NEAR: ~1,020,000 $RENDER: ~730,000 $FET: ~650,000 $VIRTUAL: ~530,000 $ICP: ~460,000 $INJ: ~380,000 $AIXBT: ~340,000 $TAO and $NEAR together make up roughly 44% of the total across this list, with $RENDER and $FET forming a clear second tier above 650K each. At the bottom, $AIXBT is still pulling in 340K despite a fraction of the market cap of names like $ICP and $INJ, a sign small-caps can punch above their weight in attention. Is this concentration around $TAO and $NEAR a sign of real catalysts, or is the crowd just defaulting to the sector’s most familiar names? || Source: LunarCrushfrozen10d ago27K35635221221.60%
Everyone thinks the AI race is about who builds the smartest model. The bigger battle may be who survives when intelligence gets cheaper. The latest All-In episode breaks down: → Open-source AI gaining share as token prices fall → OpenAI and Anthropic pushing back IPO plans → Meta's Muse bringing proactive AI agents to consumers → Growing fights over AI safety and alignment → Political pressure around “pacing the frontier” → Anthropic expanding into biological research with a wet lab Frontier model leadership doesn't guarantee business dominance. As intelligence becomes cheaper, the moat shifts toward distribution, infrastructure, agents and owning the workflow. Watch the video below for the full breakdown. https://t.co/3DZth1Dm6Lfrozen26d ago27K1841718030.82%
$NEAR is up 150% in 30 days. The spot ETF hasn't even started trading yet. September Was a Blowout Month for AI Crypto. Not a Single Token on This List Closed in the Red. Here's the 30-day breakdown: $NEAR: +150.83% $GRASS: +93.18% $GRT: +83.43% $VVV: +68.12% $FIL: +54.08% $FET: +48.23% $INJ: +45.66% $ICP: +37.34% $THETA: +31.87% $RENDER: +31.48% $TAO: +30.90% $AKT: +26.14% $VIRTUAL: +17.16% $TRAC: +10.94% $KITE: +8.23% Every single one of these fourteen tokens closed September green, a rare clean sweep for a sector that's spent much of the year bleeding out. $NEAR is the runaway leader, up over 150% in a single month, while $GRASS and $GRT both posted standout 80-90%+ runs. After months of AI tokens underperforming their own branding, September looks like the first real confirmation that capital is rotating back into the space at scale. || Source: CoinMarketCapfrozen23d ago25K38242152211.85%
Does $ICP break $3.6 in Q4? https://t.co/Szmf3DXOqpfrozen12d ago25K2852427001.37%
$BNB has reached its old range ceiling. Above $800, I’m watching $860, then $900–$940. https://t.co/Mx60hhU0Jcfrozen29d ago24K196256000.93%
https://t.co/DSRMs2LP0Cfrozen7d ago24K184211411211.41%
5 narratives. 5 current contenders. AI: $NEAR RWA: $LINK Privacy: $ZEC Perps: $HYPE Memes: $PUMP Only one leads October. Which ticker?frozen19d ago24K34730231301.79%
8 Altcoin ETF Filings Landed in 4 Weeks, and Half of Them Stake. Here’s who filed between Sep 11 and Oct 6: $LTC: Grayscale Litecoin Trust ETF | Amended S-3 to convert the trust, Sep 11 $SEI: Canary Staked ETF | S-1 Amendment No. 2, Sep 15 $INJ: 21Shares Spot ETF | S-1 Amendment No. 1, Sep 18 $NEAR: Bitwise Spot ETF | Form 8-A filed Sep 24 $INJ: Canary Staked ETF | Amendment No. 3, ~Sep 25 $SEI: REX-Osprey Staked ETF | Updated filing, Sep 28 $LINK: Bitwise Spot ETF | New prospectus, late September $ZEC: Winklevoss Spot ETF | S-1 filed Oct 6 $INJ and $SEI each drew two competing filings, and both Canary products plan to stake at least 90% of their holdings. Bitwise’s NEAR fund plans to stake almost all of its NEAR. $ZEC got a second spot ETF filing, this time from the Winklevoss twins, whose fund indicated interest in buying up to $100M of shares. Grayscale’s Zcash ETF has been trading since August. $LINK jumped more than 20% on the Bitwise news.frozen7d ago24K27738181191.47%
Most people are using Claude Opus 5.5 wrong and paying 13x more for almost nothing. Here’s how to get way more out of it: Stop cranking reasoning to MAX. One developer’s benchmark went from 338 tokens per response on xhigh to ~5,000 on max. Response time jumped from 6 to 50 seconds, while accuracy improved just 1 percentage point. Give Claude a finish line. Tell it exactly what done looks like, what it should avoid, and when it should stop and ask. For big tasks, tell it to finish the entire plan instead of pausing after every step. Let it work smarter. Remove unnecessary “think carefully” instructions, allow subagents for complex jobs, and add clear stop rules to your CLAUDE.md so Claude keeps moving without risking destructive actions. Make it check its own work. Ask what could go wrong before merging code. Tell it to flag anything it couldn't verify, and get a second AI model to review important changes. And here's the wild part: people are using Opus 5.5 to create entire video edits from a single prompt, including motion graphics, sound design, screenshots, and generated b-roll. The secret isn't writing longer prompts. It's giving Claude clear goals, the right permissions, and room to execute. Want more AI workflows that actually save time? Bookmark this, follow @DamiDefi, and start using Claude like an agent, not just a chatbot.frozen5d ago24K1752216070.92%
$ONDO IS MAKING TOKENIZED STOCKS CHEAPER TO TRADE THAN MOST PEOPLE REALIZE. Ondo Stocks reportedly maintains around 12.8 bps round-trip costs on trades from $100 to $20,000. For comparison, Arrakis' report cited median traditional exchange costs rising to roughly 44 bps on larger trades. That is the RWA thesis in one chart: lower friction, deeper liquidity, and onchain access to traditional markets.frozen20d ago24K3302616041.60%
The U.S. Holds as Much Bitcoin as the Other Nine Countries on This List Combined. Here's the top countries holding $BTC in 2026: 🇺🇸 United States: ~324,527 BTC | ~$26.94B 🇨🇳 China: ~190,000 BTC | ~$15.77B 🇬🇧 United Kingdom: ~61,000 BTC | ~$5.06B 🇺🇦 Ukraine: ~46,351 BTC | ~$3.85B 🇧🇹 Bhutan: ~11,286 BTC | ~$936.7M 🇸🇻 El Salvador: ~7,694 BTC | ~$638.6M 🇦🇪 United Arab Emirates: ~6,782 BTC | ~$562.9M 🇻🇪 Venezuela: ~240 BTC | ~$19.9M 🇫🇮 Finland: ~90 BTC | ~$7.5M 🇬🇪 Georgia: ~66 BTC | ~$5.5M Together these leading countries hold roughly 648,000 $BTC, worth about $53.8B. The U.S. and China account for nearly 80% of that, though the China figure comes from a 2019 seizure.frozen15d ago23K165189010.82%
$TAO Is Generating More Social Engagement Than the Bottom Four AI Tokens on This List Combined. Here's the 24-hour breakdown across top AI crypto projects, per LunarCrush: $TAO: ~1,450,000 engagements $NEAR: ~1,020,000 $RENDER: ~730,000 $FET: ~650,000 $VIRTUAL: ~530,000 $ICP: ~460,000 $INJ: ~380,000 $AIXBT: ~340,000 $PAAL: ~245,000 $QUBIC: ~210,000 $TAO and $NEAR together account for roughly 2.5M engagements, about 41% of the total across the entire top 10. $RENDER and $FET form a clear second tier, each pulling in well over 600K. Further down, $AIXBT is holding its own against larger-cap names like $INJ and $ICP, a small-cap pulling disproportionate attention relative to its size. Is $TAO's lead a sign of real catalyst-driven interest, or just the crowd rotating back to the sector's most familiar name? || Source: LunarCrushfrozen24d ago23K35431150291.86%
$ICP is pulling back toward rising support on the 4H chart Price is around $3.10, with the trendline currently near $3.00. I expect a rebound toward $3.25 if buyers defend that support. Target 1: $3.25 Target 2: $3.40 Target 3: $3.56–$3.60 Invalidation: A 4H close below rising support, currently around $3.00. Watch for a rejection wick near $3.00 followed by a bullish 4H close. A reclaim and hold of $3.25 would strengthen the case for continuation.frozen9d ago23K2873218031.51%
Which coin are you most embarrassed to still be holding? Be honest.frozen1mo ago23K1611219010.86%
$NEAR’s move above $3.60 has opened the higher range. Holding that level matters on any pullback. $NEAR was around $2.22 on my September 5 chart when I highlighted the bullish momentum and recovery above the $2.05 area. It’s now trading around $5.23, roughly 136% higher, with the current 3D candle reaching almost $5.50. The important development is how far price has progressed beyond that initial reclaim. That $3.60 area mattered repeatedly during the earlier range, so clearing it strengthens my continuation thesis. I’m still bullish, but the next resistance I’m watching is approximately $5.50–$5.80, where earlier price action shows several reactions. A clean break and hold above it would put approximately $6.50, then $7.00, on my radar. The upper dashed level around $8.50 remains the larger objective, with those closer resistance areas coming first.frozen25d ago22K3012319071.58%
https://t.co/WjuBkAQ63yfrozen29d ago22K22723231981.69%
Keep one from each pair: $SUI or $AVAX $UNI or $AAVE $NEAR or $TAO $ONDO or $CFG Post your four winners.frozen15d ago22K25817210181.43%
https://t.co/yXI3u1UpF3frozen27d ago22K197192411251.68%
Robinhood’s AI agents now use its tools almost 30 million times a day. That isn’t 30 million trades. A tool call is an agent asking for something: a quote, research, your portfolio, a watchlist update. Robinhood didn’t say how many of those calls turned into trades. Here’s what they did share at HOOD Summit on Sep 29: → 150,000+ customers have opened agentic trading accounts since May → That’s about 1 in 190 of Robinhood’s 28.6M funded customers → The Robinhood Trading MCP is live, so you can plug your own third-party agent in → Third-party agents can already run inside Robinhood Legend through that same MCP Coming soon: → Robinhood Agents, built into the app. You name it, give it its own account and pick a model. It can only touch the money in that account, and trade approval is on by default. → Loops, which run a trading strategy on repeat around the clock → Agent Apps from providers like Unusual Whales, Nasdaq and Token Terminal, at $5 to $30 a month The usage number is big, and the user number is still small. Less than 1% of customers have opted in, and their agents are already making millions of requests a day. Most of that is research for now. Loops is when the agents start trading on their own.frozen13d ago22K1691830111.01%
Wall Street can now buy $NEAR through a spot ETF. $NEAR is up 140.8% over the past month. Does $NEAR keep the AI lead, or which ticker takes it?frozen17d ago21K3342013041.77%
Bitwise now has 9 single-coin ETFs in the US: BTC, ETH, XRP, SOL, HYPE, DOGE, LINK, NEAR and AVAX. The smallest of those is AVAX, at $4.7B. Bitwise still has no fund for these, even though they’re bigger: → BNB, $99.7B (#4) → TRX, $31.4B (#8) → ZEC, $20.7B (#10) → XMR, $9.9B (#14) → ADA, $9.6B (#17) Some of them are clearly in demand. TRX and ZEC already have US spot ETFs from other issuers. Grayscale launched ZCSH in August, and Canary launched a staked TRX fund (TRXS) in September. Bitwise has also filed for TRX, ZEC, SUI, UNI, TAO, Canton and a few others. Two of the coins from that December filing, HYPE and NEAR, already have Bitwise spot ETFs. So which ticker should get the next one?frozen12d ago21K2091719171.21%
NEAR JUST GOT A WALL STREET ON-RAMP WITH STAKING BUILT IN. Bitwise's $NRR began trading on September 29, giving U.S. brokerage investors direct exposure to $NEAR through an exchange-traded product. The numbers: → 4.92% gross staking reward rate → 3.30% net staking reward rate → Direct exposure to NEAR → Institutional custody through Coinbase Custody The bigger thesis: NEAR is positioning itself for the agentic economy, where AI agents transact and coordinate onchain. Now traditional investors have a regulated-market route to gain exposure. $NEAR is moving beyond crypto-native adoption.frozen11d ago20K2893616181.74%
I’ve always had trade ideas I wanted to test properly. The problem was that turning them into a real strategy meant writing code. That’s the gap @minara closes. It’s an AI agent app for trading. You pick a basket, like their TradFi 30 with $NVDA, $MSFT, $GOOGL, $AMZN and more, choose a valuation factor and a profitability factor, and describe the logic in one line. The AI writes the code, you backtest it, and if it holds up you deploy it and run it live. Their example on the TradFi 30 backtested at +428% total return. Been looking for something like this that bridges AI agents and actual systematic trading. A backtest isn’t a promise of future returns. But testing an idea on real data before putting money behind it is how it should work. Not financial advice. DYOR.1d ago20K1591811000.94%
AI is hot again. $GRASS has the momentum. $NEAR has the volume. $TAO is the catch-up trade. $RENDER is the familiar bet. Which one wins the next leg?frozen22d ago20K30222211111.79%
RWA tokens added 174,000 new holders in 2026. 7 of the biggest RWA tokens went from 1.39M wallets to 1.56M since late December, up 12.5%. 6 of the 7 grew. $LINK: 916K holders, +12.4% $ONDO: 217K, +25.1% $AAVE: 189K, -3.5%, the only one that shrank $QNT: 184K, +15.6% $PLUME: 25.2K, +16.2% $SYRUP: 17.8K, +21.9% $CFG: 11.4K, +61.5% Prices tell a different story. $SYRUP is down 38% this year and still added 22% more holders. $LINK is down 4% and added 101K wallets on its own. $QNT is the exception, up 175% in price. People are buying RWA tokens and holding them, whatever the chart does. Watch the smaller names. $CFG and $SYRUP are growing fastest from a small base.frozen5d ago20K27737252361.89%
$NEAR is at $4.81 with $6.3B market cap and a 7.71% 24-hour gain. $TAO sits at $274.95 with $3.18B market cap and a 12.36% weekly jump. Two AI L1s. Two different recovery speeds. Which one is the better buy at these levels?frozen5d ago19K2441816061.47%
$ZEC is up 352.2% over the past year. $HYPE is up 123.3% over the same period. Privacy and perpetual DEXs produced two of crypto’s biggest winners. Which narrative has more upside from here? https://t.co/6Uzlo9MGu29h ago19K156208000.96%
You have $10,000 and can only buy three coins and hold until 2028. What are you buying?frozen26d ago19K1891330111.22%
Only like this tweet if $HYPE, $LINK, $ONDO, $TAO or $NEAR are in your portfolio Let's see whose gonna eat in the next 12 monthsfrozen4d ago19K37931160102.31%
MOST PEOPLE THINK $LINK IS JUST AN ORACLE PLAY. THAT MAY BE THE WRONG THESIS. Chainlink is now powering reserve verification for Dawn's USD.infra assets while https://t.co/Y4y0u0tZ75 uses CRE and Data Streams for 15-minute prediction markets on U.S. equities. From RWA reserves to real-time equity markets, Chainlink keeps expanding beyond price feeds. The bigger bet may be $LINK becoming the connectivity layer for onchain finance.frozen25d ago19K1921111011.15%
Bittensor's first halving cut emissions from 7,200 to 3,600 TAO daily. Fixed 21M cap, same hard-cap design as Bitcoin. $TAO settled near $305 after pulling back from $340. The king of AI crypto is holding steady.frozen18d ago19K3522221082.15%
The total crypto market cap is back above $3 trillion. $BTC dominance is still 56.6%. Which alt takes the biggest piece of that dominance before next Sunday?frozen25d ago18K1821214011.13%
PATIENCE PATIENCE PATIENCE then $HYPE Kaboom 💥 https://t.co/N7VCZXq8Imfrozen22d ago18K183127011.11%
$SEI Q3 Recap 🔹 $SEI finished Q3 up 55%, from $0.047 to $0.073. Most of that came in the last two weeks of September, and Sei spent the quarter rebuilding its core. 🔹 The Giga Upgrade Sei Labs released Giga Whitepaper V2 on Jul 1. It targets 200,000 TPS and cuts the finality target to under 250ms, down from 400ms. It also adds Sedna, a private transaction layer, and ordering that no single proposer can game. v6.6 went live on mainnet in early August. Ares is now the default execution engine, and Eidos moves two years of EVM history into its own database so old data stops slowing live transactions. 🔹 Security In July, Sei patched its sei-js developer packages after the Miasma supply-chain attack, pinning vulnerable dependencies so fresh installs can’t pull in malicious code. On Jul 28, Sei Labs proposed SIP-5. Users could add a quantum-resistant key and keep their existing address and balance. 🔹 Institutions Sei and Mastercard published research on Aug 26 on how institutions choose a blockchain. The finding is that the tech isn’t the bottleneck anymore. Governance and operational readiness decide what makes it to production. Canary amended its staked $SEI ETF filing on Sep 15. It plans to stake about 90% of the fund’s SEI, with BitGo as sole custodian. $SEI jumped more than 30% in a day when the news spread. 🔹 The Token Three monthly unlocks released 166.7M $SEI in Q3, and $SEI still closed the quarter up 55%. Two of Giga’s three layers are live. Autobahn consensus is next. Is $SEI’s late-September run the start of a re-rating or just ETF hype?frozen3d ago18K2522210071.61%
I've watched enough launches where the smart move was obvious in hindsight and invisible at the time. The thing that actually sold me on Meridian's conversion is where the money ends up. Normally you put money into a presale and the team sits on it. Here every dollar raised goes back into buying MCD and pairing it into liquidity, spread out over 60 days. That raise ends up as two months of steady bids under the token. Converting is the only way in at $0.10 flat. No slippage, no chasing a price that's already moving. It's capped at $1.5M and it's first come, first served. The bit I think most people will miss is what that MCD does once it's sitting in the pools. It earns fees, and those fees go back into more buybacks. So you're getting in at a fixed price right before the thing that keeps bidding for the token switches on. That's why I think this is bullish, and why I'm converting myself on Sunday. Can it still go wrong? Of course. Forecasts miss and yields come down. Read the docs at https://t.co/G33vOFEnGz and make your own call. Conversion is Sunday. TGE is Monday. Not financial advice. DYOR. Crypto involves risk.frozen26d ago18K190118121.18%
Q3 2026 Saw DeFi Partnerships Span Everything From Nasdaq-Listed Companies to the World's Largest Asset Managers Here's Every Major Deal: Infosys x $LINK (Sept 22): standardized on-chain finance route for banking and capital-markets clients via CCIP, Runtime Environment, Automated Compliance Engine, Proof of Reserve, and Data Streams. Infosys supports systems touching 1.7B customer accounts Binance x Circle (Sept 17): Binance bought 1,237,011 Circle Class A shares at $80.84 for $100M total, alongside a five-year USDC promotion agreement $XRP, Clearpool & Cicada (Aug 20): $930M lending infrastructure and $860M underwriting experience to build institutional credit rails on XRPL using RLUSD Zhibao Technology x DeSyn Protocol (Sept 24): MOU to co-develop compliant BTCfi infrastructure and Bitcoin yield products, backed by Zhibao's 2,380 BTC treasury Circle's Arc Mainnet Launch (Sept 16): Morpho, Uniswap, Aave V4, and Aerodrome deployed day one, with BlackRock, Visa, DTCC, ICE, and Mastercard among 11 founding validators $AAVE x Anchorage Digital (Sept 16): custodied collateral lending proposed, letting institutions borrow against Anchorage-held assets. Still pending a governance vote. Aave TVL hit $19B, up 52% in Q3 $AAVE x Kraken's Ink Foundation: white-label Aave V3 partnership approved with a 99.8% governance vote, with Ink committing to $250M+ initial liquidity Venus Protocol x $CFG (Sept 24): integrated tokenized RWAs via JTRSY and JAAA, enabling combined yield and borrowing positions $ENA x Binance (Sept 25): USDe backing allocated to equity-basis trades via Binance's bStocks, with ENA climbing 17.9% on the news $ENA x FalconX (Aug 19): $1B secured lending facility diversifying USDe's yield sources into institutional credit Galaxy Digital x Kamino (Sept 17): institutional USDC and USDT vaults brought to Solana, applying the risk framework from Galaxy's $1.4B loan book MoonPay x Kamino (Aug 28): Kamino integrated into MoonPay's PayBox, letting users lend and borrow through ChatGPT or Claude Bitget x Morph x Gauntlet x Morpho (July 31): institutional on-chain yield for Bitget's 125M+ users via Gauntlet-curated Morpho and Aera vaults HashKey HSK Chain x Morpho (July 29): Morpho deployed its credit infrastructure on HSK Chain, expanding into Asia's regulated digital asset market Laser Digital x Keyring Network (Sept 2): institutional fixed-income market launched on Euler Finance using zero-knowledge compliance infrastructure https://t.co/xutDMkUf30 x $CFG (Sept 1): cross-chain access to tokenized funds, with distribution across Jumper and 1,000+ LI.FI-powered integrations Aster x $WLFI (Sept 1): USD1 RWA Boost Phase 1 distributing 125M WLFI and 6.25M USD1 in rewards, running through Dec 31 Hilbert Group x Ember Protocol (Sept 15): hLEND lending desk launched, with Ember committing $1M of its own capital plus 200bps additional yield BitGo x Decibel Foundation (Sept 3): WalletConnect support enabling institutional clients to connect to the Decibel DEX Frax Finance x Superstate: Superstate's USTB backs frxUSD alongside BlackRock's BUIDL Coinmotion x K33: institutional execution partnership expanding trading services across the Nordic regionfrozen23d ago18K1941514441.29%
Layer 1 Is the Largest Narrative in Crypto by Market Cap, and the Gap Between the Top and Bottom of the Board Is Huge. Here’s how the major narratives rank: Layer 1: $2.29T SEC/CFTC Digital Commodities & Token Taxonomy: $2.19T FTX Bankruptcy Estate: $2.15T US Strategic Crypto Reserve: $2.13T YZi Labs Portfolio: $1.99T 2017/18 Alt Season: $1.84T Bitcoin Ecosystem: $1.71T World Liberty Financial Portfolio: $660B Sophon Ecosystem: $564B Ethereum Ecosystem: $510B Smart Contracts: $454B Unichain Ecosystem: $419B Etherlink Ecosystem: $395B The top seven all hold Bitcoin, and BTC alone is worth about $1.65T. That’s why the board splits so sharply after Bitcoin Ecosystem. Once Bitcoin drops out, the biggest narrative is World Liberty Financial’s portfolio at $660B, about 3.5x smaller than Layer 1.frozen9d ago18K170188121.12%
While Bitcoin's Big L1 Rivals Were Losing Active Users, $APT Quietly More Than Quadrupled Its Daily Active Addresses in 30 Days. Here's the DAA growth recap (Sept-Oct 2026): $APT: 64,000 to 271,000+ | +323% $SUI: ~85,000 to 134,500+ | +58% $SOL: ~2.7M to ~4.1M | +52% $LTC: ~237,000 to 281,000+ | +18.5% $TRX: ~4.0M to ~3.7M | -7.5% $BNB: ~4.5M to ~2.7M | -40% $ETH: ~767K to ~449K | -41.5% $NEAR: ~121K to ~63K | -48% $APT was the month's standout, the only chain on this list to more than double its activity. $SUI and $SOL both grew by more than half. Meanwhile four of the eight are in decline: $ETH lost over 41% of its daily active addresses, $NEAR dropped nearly 48%, and even $BNB, one of the largest chains by user base, fell 40%.frozen19d ago18K34746160182.41%
Three institutions each hold more than 800,000 BTC, and the fourth-largest holder has less than a quarter of the smallest of them. Biggest institutional Bitcoin holders: $COIN: ~965,000 BTC | ~$78.7B (custody) $MSTR: 848,517 BTC | ~$69.2B $IBIT: 806,037 BTC | ~$65.7B $FBTC: 184,058 BTC | ~$15.0B https://t.co/m9ZW7XE5e0: 164,000 BTC | ~$13.4B $GBTC: ~125,800 BTC | ~$10.3B Tether: ~100,000 BTC | ~$8.2B Metaplanet: 44,000 BTC | ~$3.6B SpaceX: 18,712 BTC | ~$1.5B $TSLA: 11,509 BTC | ~$938M The top three are in a league of their own, with $MSTR and $IBIT only about 42,000 BTC apart. $COIN’s figure is custody for clients, which is why it tops the list without owning the coins. It holds just 17,311 BTC itself. Below the top three, holdings fall off a cliff. $TSLA’s 11,509 BTC is less than 1.5% of $IBIT’s stack. Who passes $MSTR first?2d ago18K1761411021.15%
AI is turning boring enterprise software into something that actually feels interactive. This guy built WareTrack, a 3D warehouse management system that looks more like a strategy game than an ERP. Built rapidly with Opus 5.5 + React + React Three Fiber: → Animated forklifts and trucks → Real-time logistics tracking → Shipment timelines → Inventory panels → Vehicle status updates → Multiple distribution hubs The smartest part isn't the 3D graphics. It's borrowing game mechanics for industrial software. Think base management, task assignment, live status and visual feedback. Instead of forcing operations managers to stare at spreadsheets and dashboards, the software gives them a world they can understand at a glance. AI isn't just making software faster to build. It's making boring software worth using. https://t.co/QxwYtbnTj5frozen17d ago18K19616152161.39%
DePIN keeps getting dismissed as a dead narrative, yet 10 of the top 14 tokens are green over the last 30 days. Top 14 DePIN coins by market cap, 30D performance: $GRASS: +70.76% $AKT: +28.71% $JASMY: +18.42% $RENDER: +18.08% $TRAC: +17.26% $GRT: +15.16% $BTT: +9.50% $ZBCN: +9.07% $FIL: +6.25% $TAO: +4.48% $BDX: -1.85% $IOTA: -3.64% $THETA: -9.27% $AR: -12.61% $GRASS ran away from the pack with a 71% gain, more than double $AKT in second. The median coin was up about 9%. The sector’s biggest name, $TAO, gained under 5%, while $AR, $THETA, $IOTA and $BDX finished red. Still think DePIN is dead? 𝘋𝘢𝘵𝘢: 𝘊𝘰𝘪𝘯𝘔𝘢𝘳𝘬𝘦𝘵𝘊𝘢𝘱2d ago18K23921130141.63%
$BNB Chain just became the first blockchain to surpass $1B in tokenized stocks and ETFs, capturing 30% of the $3.7B market. Is BNB Chain the dark horse of RWA infrastructure?frozen15d ago18K1861911001.22%
While Nine L2s Are Racing Toward ZK Proofs, Sub-Second Blocks, and Decentralized Staking, One of Them Is Quietly Shutting Down Entirely. Here's What's Coming for the Top 10 L2s in Q4 2026. $ARB: integrating ZK proofs for a multi-proof settlement model cutting L1 settlement from days to hours, with a 92.65M ARB monthly unlock landing October 16, alongside a planned shift from Timeboost to Priority Gas Auctions $OP: Upgrade 20 (Super Root) transitions the fault proof system to Super Root dispute games ahead of Superchain interoperability, building on the shift to 200ms subblocks and the earlier Karst hard fork Base: activated its Cobalt upgrade October 1, introducing Validity Transactions and expanding the B20 token standard, with a roadmap targeting 200ms block times down from 2 seconds and incorporating EVM improvements from Ethereum's Glamsterdam upgrade $ZK: rolling out an EraVM security upgrade extending execution delay to 24 hours and developing a second prover, with a token unlock of 173.4M tokens (0.8% of supply) landing October 17 $STRK: activated v0.14.4 on mainnet October 5 enabling block-sized proofs up to 1.1B L2 gas, planning a decentralized validator staking phase for Q4, with a token unlock of ~127M tokens (~$7.4M) landing October 15 $POL: activated PIP-92 October 1, raising staking rewards from about 3% to 7.7% annually, while continuing its Gigagas roadmap targeting 100,000 TPS $LINEA: Beta v5.3 and v5.4 land in Q4, targeting finality under 30 minutes, while the network transitions to a RISC-V-based proving architecture aligned with Ethereum Foundation's roadmap $SCR: completed its OpenVM v2.0.0 upgrade adopting the SWIRL proving system, while turning into a private, AI-dedicated network over an expected 9-month transition, with SCR migrating to Ethereum mainnet as part of the shift $MNT: migrating its DA layer from EigenDA to Ethereum Blobs for a true ZK Rollup transition, moved its sequencer from Geth to Reth in September, and migrated its bridge to Chainlink's CCIP $BLAST: announced the complete closure of its L2 network due to unsustainable economics, with users urged to withdraw all assets to Ethereum mainnet before October 26. Funds stay recoverable after that, but only through the L1 bridge contracts $BLAST's shutdown is the starkest contrast on this list, a network closing entirely while every other L2 here is racing toward faster finality and ZK settlement. Meanwhile $ARB and $ZK both carry meaningful token unlock pressure this month alongside their technical upgrades, a combination worth watching closely.frozen17d ago18K20530161171.52%
September Saw AI Crypto Projects Team Up With the UN, Google Cloud, and Robinhood in the Same Month Here's Every Major Partnership Recap. $TAO: launched on Robinhood Chain via Chainlink's CCIP using the Forever Money bridge for a native 1:1 presence across chains (Sept 13), triggering a 12% price jump to $265 alongside the Runtime 454 emissions upgrade $FET: unveiled a payment infrastructure integration with Skyfire enabling autonomous AI agents to discover and transact independently, and partnered with SingularityNET to deactivate affected wallets following a security incident involving a leaked signing key (Sept 20) $NEAR: announced a user-owned AI initiative with Venice, Brave, and a government partner, integrated confidential inference through its AI Cloud live on SayGm's confidential layer within Intel TDX secure enclaves (Sept 19), and expanded AI utility to 43 models with Confidential Intents supporting private execution across 30+ blockchains $ICP: DFINITY and the UNDP launched a 12-month pilot deploying sovereign cloud infrastructure and agentic AI for public services, integrating Caffeine, Claude Code, Codex, and Perplexity, with UNDP's reach spanning 170+ countries $AGIX: partnered with the Filecoin Foundation to integrate AI and DePIN while maintaining decentralization and data provenance, establishing a new AI Ethics Working Group (Sept 5) $ADA: joined the x402 AI payments standard, letting AI agents pay for services in ADA through standard web requests (Sept 16), completing a pre-production network transaction and rising 8% on the news $GRT: partnered with Google Cloud to enhance decentralized data indexing for AI model training (Sept 6) $ZETA: proposed integrating Anuma AI, a privacy-focused multi-model app with 300,000 users, as part of its transition to a Solana SPL token (voting Sept 17-20) $OG (Open Genesis): partnered with m&W, a Draper Dragon Fund accelerator participant, to advance AI and Web3 ecosystem collaboration (Sept 15) $THEO (Autheo): launched on Uniswap v3 on Robinhood Chain, extending its Internet Operating System economic layer into an ecosystem designed for AI agents operating in traditional financial markets (Sept 10) Two names stand out for scale: $ICP's UNDP pilot reaches into 170+ countries, and $GRT's Google Cloud partnership signals one of the biggest enterprise tech names is now directly building with a decentralized protocol. Combined with Robinhood Chain hosting both $TAO and $THEO launches in the same month, September looks like the point where AI crypto stopped just talking about institutional adoption and started actually landing it. || Source: Project announcements, September 2026frozen28d ago18K21433260301.72%
Ondo Finance just brought tokenized investment portfolios to https://t.co/3PLlxTGr4m. @OndoFinance Intelligent Portfolios are now live on @Gate, giving non-US investors access to curated baskets of tokenized stocks and ETFs through a single onchain token. Here’s what stands out: → one token, diversified exposure: access bundled investment strategies without managing each asset separately. → blackrock-powered strategies: blkhion targets high income, while blkgrwon focuses on high growth. → automatic rebalancing: portfolios adjust onchain to maintain their investment strategies. → extra yield opportunities: gate offers estimated 8% apr through soft staking with no lock-up period, plus blkhion rewards through launchpool. $Ondo is pushing tokenized real-world assets beyond simple token wrappers toward onchain investment products. If tokenized stocks and ETFs become easier to access, rebalance and earn rewards on, how much bigger could this market get? Are tokenized portfolios the next major RWA growth catalyst for $ONDO?frozen6d ago17K170169001.12%
I’m watching $1.15 and $1.25 before $SUI reaches the higher resistance around $1.34 My bullish read on $SUI starts with the reclaim of the $0.81–$0.83 zone on the 3D chart, an old floor that turned into resistance after the June breakdown. Price has pushed back above that area and is now testing the next horizontal barrier around $1.07. I see this as an early reversal attempt after months of basing, with the recovery above that former floor giving the move more substance. A 3D close above $1.07, followed by that level holding on a pullback, would strengthen the case for continuation. I’m watching approximately $1.15 first, then $1.25, before the upper dashed resistance around $1.34. The current candle is still open, so that confirmation remains pending. My bullish bias stays intact while the reclaimed $0.81–$0.83 zone holds; losing it would weaken the recovery. For now, $1.07 is the next test.frozen27d ago17K2102113111.42%
Only Two of the Top 15 Layer 2 Tokens Are Green This Year, and Even Optimism, One of the Sector’s Flagships, Has Lost More Than Half Its Value. If you invested $10,000 in each of these L2 tokens on January 1, 2026, here’s where you’d stand today: $ADI: $71,795 | +617.95% $LSK: $12,299 | +22.99% $ARB: $9,601 | -3.99% $SOON: $9,343 | -6.57% $STRK: $9,308 | -6.92% $CELO: $8,793 | -12.07% $IMX: $8,437 | -15.63% $MANTA: $8,253 | -17.47% $METIS: $6,755 | -32.45% $COTI: $6,204 | -37.96% $MNT: $5,715 | -42.85% $TAIKO: $5,025 | -49.75% $ZK: $4,758 | -52.42% $OP: $4,665 | -53.35% $LINEA: $4,384 | -56.16% $ADI is doing all the heavy lifting. Take it out, and the other fourteen turned $140,000 into $103,540, a 26% loss. $ARB and $STRK held up best among the big names. $ZK, $OP and $LINEA, three of the most recognized L2s in the sector, are all down more than 50%. || Source: CoinMarketCapfrozen13d ago17K2021812091.40%
This is HUGE if true. AI can now take almost any app apart and show you how it works. Software will never be the same. A trending open-source repo called Reverse Engineer Anything (REA) gives AI coding agents a way to inspect apps and trace how their features work. Pair it with Claude Code or Codex, and you can investigate: → Desktop apps and websites → Games and Android apps → Smart contract bytecode → Hidden feature logic and app behavior → Security issues and suspicious permissions The workflow is simple: Investigate → Extract the logic → Write a spec → Build your own version → Test it. People are already using AI-assisted reverse engineering to recreate software features and port games. But here's the real opportunity: You can inspect apps to understand how they work, audit software for security issues, or build compatible alternatives without starting from zero. The catch: REA doesn't magically unlock server-side code or make paid features yours for free. Decompiled code isn't original source code, and legal boundaries still matter. The bigger shift is that software is becoming easier to understand and reproduce, even for people who couldn't reverse engineer it manually. Stop bookmarking AI repos. Learn to use them. Read the full guide below for the REA setup, practical demos, and copy-paste prompts to get started.frozen9d ago17K1811712181.27%
https://t.co/x5HOGUVVJRfrozen11d ago17K201192531262.17%
AI crypto sector: $15B market cap. $NEAR: +183% in September. $RENDER: +27% in a week. $FET: +51% in a month. The sector is waking up while the crowd sleeps.frozen19d ago17K2741011041.74%
Copilot isn't a chatbot anymore. Microsoft just turned it into three separate tools. Microsoft just split Copilot into three modes, and each one does a different job. Home is where you do everyday work. It puts Chat and Cowork in one place, with Word, Excel and PowerPoint built in. You ask, and it makes or edits the actual file. Code is for building things. You describe an app, dashboard, tracker or workflow in plain English, and it builds it on the same tech behind GitHub Copilot. It runs sandboxed inside your company's tenant. Autopilot is the one people will talk about. It used to be called Scout. You give it a role and a goal, and it keeps working while you're away. It chases follow-ups, runs the weekly stuff and picks a project back up days later. It has its own identity, memory and workspace, with audit and permission controls. Most people can't use all three yet: → Home: rolling out through the Frontier program in the coming weeks → Code: rolling out through Frontier, with a preview for M365 Premium and Pro subscribers later this year → Autopilot: private preview only, expanding from the end of September Code and Autopilot are usage-based, so you pay in Copilot Credits based on how much you use them. Chatbots answer you when you ask. Autopilot keeps working whether you ask or not, and that's what every big AI company is now racing to build. Follow for more updatesfrozen14d ago17K1682311051.21%
Crypto ETFs Closed September With a $3.4 Billion Surge, Bitcoin Funds Had Their Best Week of 2026, and Solana Funds Just Broke Their All-Time Record. Here's the ETF inflow recap for the final week of the month (Sept 21-25): $BTC: $2.39B $ETH: $689.88M $SOL: $188.22M $XRP: $75.59M $ZEC: $35.17M $HYPE: $9.25M $LINK: $6.27M $DOGE: $2.89M $LTC: $2.77M $HBAR: $2.44M $AVAX: $1.72M $BTC funds delivered the biggest weekly inflow since October 2025 and set a new annual high. $ETH posted positive flows every trading day, with BlackRock's ETHA leading at $326.17M. $SOL is the story to watch: all seven Solana ETFs recorded net inflows, and the weekly total is the largest since launch. $XRP extended its streak to a sixth straight month of positive inflows, led by Bitwise. $ZEC is the standout among the smaller names. Its $35.17M haul is nearly 4x the $HYPE ETF's $9.25M, even though $HYPE is the newest category with ~$502M in net assets. Every fund on this list, down to $AVAX at $1.72M, posted positive flows, so the demand reached well beyond the majors. || Source: ETF flow data, September 2026frozen24d ago17K1961520021.36%
Most people are using AI to write faster. this 1-hour course shows how to make AI actually run your workflows : • 13:20 - Claude Ralph Loop + automated SEO content • 20:00 - Build a mini-app with AI • 38:15 - Docker + terminal AI workflows • 44:50 - Auto-create Claude skills from YouTube content • 51:30 - Build an AI-powered SEO and sales tracker the real alpha: Create → Automate → Connect → Repeat Claude writes the content. AI builds the apps. skills turn repeatable work into systems. spreadsheets become automated business dashboards. watch it today, then start turning your own repetitive tasks into AI workflows. https://t.co/aDNDqbnD8vfrozen24d ago17K18512110271.37%
we're up +60% since $LINK call Does $LINK touch $29 before slowing down? https://t.co/bOQHktGZe7frozen24d ago17K352179242.25%
$QNT Is Up Nearly 265% This Year, Yet $XDC, Another Name Tied to the Same Institutional RWA Narrative, Is Down Over 34% Here's the Full RWA Sector Breakdown YTD: $QNT: +264.97% $INJ: +80.52% $SKY: +50.61% $ONDO: +32.55% $PENDLE: +19.11% $LINK: +13.15% $XLM: +3.07% $ALGO: -0.10% $PAXG: -4.34% $XAUt: -4.35% $AVAX: -8.52% $HBAR: -9.43% $VET: -20.61% $SYRUP: -24.61% $XDC: -34.51% The difference: on September 24, The Clearing House picked Quant to connect its tokenized deposit network. $QNT ran 300% in a week. A nearly 300-point spread between the best and worst performer shows RWA has been more about picking the right name than riding a uniform sector trend this year. || Source: CoinMarketCapfrozen15d ago17K2142516071.55%
GTA 6 will create more millionaires than crypto How to make money from GTA 6 before you've played a single minute of it (from someone who's done it for over 10 years） GTA 6 launches November 19. That's 47 days from today. The people who make the most money from it will be set up before launch day, while everyone else is still unboxing the game. Here's the exact plan. 1. Pick one lane today Shorts and TikTok channel: fastest to start, and you don't need gameplay yet Long-form YouTube: slower, but search traffic keeps paying for years Clipping for streamers: lowest barrier, but earnings are capped Editing and thumbnails for new GTA creators: you sell skills instead of views Pick one. Stacking comes later. 2. Launch the channel this week Create GTA-only accounts on YouTube and TikTok. Post daily with pre-launch content you can make right now: trailer breakdowns, map theories, Vice City vs GTA V comparisons, and "everything we know" roundups. 3. Steal formats, not footage Find the biggest GTA V and Red Dead 2 Shorts channels and sort their videos by most popular. Write down the formats pulling millions of views, like hidden locations, secret cars, and top 5 lists. Those formats will work on GTA 6 from day one. Keep it transformative with your own commentary, edit, and angle. 4. Get monetized before launch YouTube Partner Program needs 1,000 subscribers plus either 10 million Shorts views in 90 days or 4,000 long-form watch hours. TikTok Creator Rewards only pays on videos longer than one minute, so cut longer versions. If you're monetized when the game drops, every launch-week view pays you. 5. Claim the search terms first In week one, millions of people will search for things like the fastest way to make money, the best cars, and where to find specific items. Use vidIQ or YouTube's autocomplete to list those searches now. Script the videos in advance and publish within hours of launch. Search videos keep earning for months. 6. Sign up for clipping campaigns now Join a platform like Content Rewards before launch. Streamers will compete for attention with big clipping budgets. Clip fast, then pitch the streamers you clip best for a monthly retainer. 7. Sell services to the new wave Thousands of new GTA creators will need editors and thumbnail designers. Make 5 sample thumbnails and 2 sample edits this month, then DM small GTA channels with a free sample attached. 8. Stack income once you have an audience Affiliate links for tools and gear you actually use Brand deals, where gaming brands pay upfront even to small, targeted channels A paid guide or community once you've built authority That's the whole play. Pick one lane now, get monetized by November 19, then stack. Most people will start the day the game drops, and by then the search terms are taken and the feeds are flooded.frozen19d ago17K20218170181.50%
$TAO COULD BE UNDERVALUED IF AI INFERENCE COSTS BECOME THE NEXT BIG TRADE. SOMA, Bittensor Subnet 114, just demoed a prompt compressor cutting token counts by 76%. → ~15% average coding cost savings → GitHub Copilot + Codex early access → Already being used in open-source workflows Less context processed = lower inference costs. If Bittensor keeps solving expensive AI bottlenecks like this, $TAO's utility thesis gets stronger with every subnet that ships.frozen25d ago17K3113315282.20%
Ok things are actually getting scary Boston Dynamics just gave Atlas the hands to act on it. The new 13-DOF hands are built for real industrial work: → Pinch + tripod grasps → Tool manipulation + trigger presses → Precise object reorientation → Direct actuation + backdrivability → High-fidelity simulation for sim-to-real RL The biggest detail: They removed the pinky. More fingers would add complexity, but not enough capability to justify it. That tradeoff says a lot about where robotics is heading: Not human imitation. Task-optimized intelligence. Atlas is being designed to learn physical work in simulation, then transfer those skills into the real world. The end goal isn't a better robot demo. It's AI that can physically do the job. https://t.co/IeKOpDILsQfrozen18d ago17K1901710061.33%
$INJ handled $7.5 billion in RWA volume and issued $1 billion in tokenized assets. Now, Injective is partnering with POSCO International and LG CNS. Korean institutions are building onchain. The RWA wave isn't coming. It's here.8h ago17K2002421001.46%
Anthropic just released Haiku 5.5, and most people haven’t noticed what it does to their API bill. 90% cheaper than Haiku 4.5. 20x cheaper than Sonnet 5.5. HubSpot got its best score ever on it. AlphaSense measured a statistically significant jump in quality. If you’re still sending every task to one model, you’re overpaying on most of your volume. The full routing playbook is in here.2d ago17K159136111.08%
I highlighted $NEAR around $2.215 on September 5. It’s now around $5.81, roughly 162% higher, after its first daily close above the $5.50–$5.80 area I’ve been watching. That gives me a fresh continuation signal beyond the earlier chart at $5.23. I’m watching whether $5.80 can become support, with $6.50 the next area from my broader chart. The 3-day candle is still open, so I’m waiting for that close before calling the higher-timeframe breakout confirmed.frozen8d ago16K2322015031.64%
$10K in $QNT 30 days ago is now $31,525. The market is split. 7 of these 12 coins are green over the last 30 days and 5 are red, and $QNT’s 215% run hides how uneven the rest was. If you’d put $10,000 into each of these coins 30 days ago, here’s what you’d have today: $QNT: $31,525 | +215.2% $WLD: $12,096 | +21.0% $ONDO: $11,016 | +10.2% $PUMP: $10,845 | +8.4% $AAVE: $10,707 | +7.1% $ENA: $10,652 | +6.5% $DOT: $10,098 | +1.0% $OKB: $9,774 | -2.3% $CRO: $9,726 | -2.7% $PAXG: $9,554 | -4.5% $SHIB: $9,294 | -7.1% $ASTER: $9,288 | -7.1% Take $QNT out and the best of the rest is $WLD at +21%. Most of the green barely beat flat. Which one are you still holding?frozen4d ago16K1851913021.34%
Binance's USDT-M Futures Market Alone Traded More Volume in September Than the Next Three Exchanges on This List Combined. Here's the September 2026 volume ranking (30-day turnover): - Binance USDT-M: $1.7T - OKX: $775.1B - Bybit: $477.6B - https://t.co/3PLlxTGr4m Futures: $382.9B - WhiteBIT: $313.7B - Binance Spot: $301.0B - Bitget: $266.0B - Coinbase Intl: $261.2B - Hyperliquid: $240.4B - BingX: $175.3B Binance's futures volume alone is more than double the next closest exchange, OKX, and dwarfs everything below it by an even wider margin. Notably, Binance's own spot volume ($301.0B) trails its futures arm by nearly 6x, showing just how dominant derivatives trading has become on the platform. Hyperliquid stands out as the most interesting entry here. Despite being a decentralized perpetuals exchange rather than a traditional CEX, it still outpaced BingX and came within striking distance of Coinbase International.frozen21d ago16K1871115011.32%
Every Top Coin on This List Closed September in the Green, and Nine of Them Outran Bitcoin. Here’s the price performance of top coins in September: $UNI: +69.76% $ZEC: +69.66% $LINK: +26.89% $ADA: +24.64% $SOL: +14.59% $DOGE: +14.11% $BNB: +11.24% $ETH: +8.84% $XRP: +8.00% $BTC: +6.39% $UNI and $ZEC both rallied almost 70% in one month. $UNI went from $5.23 to $8.88 after the fee switch reached V4 pools, and $ZEC climbed from $848 to $1,438. Bitcoin finished last on this list. Every altcoin here beat it, which is a different picture from most of 2026. || Source: CoinMarketCapfrozen11d ago16K2152811061.61%
Does $SOL breakout in the next few hours? https://t.co/bi2c8z1vVTfrozen9d ago16K1762417031.38%
$FET has cleared its September range, but the daily chart still has supply between $0.27 and $0.29. I’m watching for a daily close above roughly $0.29, followed by price holding the reclaimed area, before treating this resistance as cleared. If we see a rejection first, the recent $0.22–$0.23 higher-low area becomes the reference I’m watching on a deeper pullback.frozen17d ago16K2892611052.08%
This is Actually Insane Tesla's Grok Bot turns the car into an AI command center while FSD handles the driving. You can talk to agents hands-free to manage emails, calendars, research, and other tasks while you're on the move. The release went live September 22, 2026, with Connectors available to all users and advanced delegation on SuperGrok Heavy. The interesting shift: your AI assistant is no longer trapped on your screen. Watch the video, then read the article on Grok Bot agents below. https://t.co/fCJWt8YSQtfrozen29d ago16K169119001.19%
Most companies are deploying AI backwards: 26 companies don't need 260 custom agent projects. this is one of the smartest AI deployment strategies i've seen for scaling across an entire enterprise portfolio : • 00:00 - Why one-by-one AI rollout breaks at scale • 00:41 - Group companies by their system of record • 02:00 - Sell the CFO on lower costs + faster closes • 04:20 - Turn month-end close from 22 days into 4–8 • 05:30 - Compare 5 different NetSuite workflows • 07:00 - Standardize to a 6-step finance process the key insight: don't build an agent for every workflow. standardize the underlying process, identify where the ERP falls short, then deploy agents only at those gaps. 26 companies × 10 departments × 10 workflows would create an implementation nightmare. shared systems + shared processes + reusable agents turns it into a scalable AI deployment machine. watch this one closely: this is how AI moves from isolated pilots to portfolio-wide automation. https://t.co/yiYf9ilj1Xfrozen16d ago16K1901614311.44%
Day 1 of 60. The buybacks at $MCD started today. $900k going into MCD over the next two months, a bit every single day. This is the part I kept pointing to before launch. Converters got in at $0.10, and now the buying starts and doesn't let up for 60 days. I like that it's spread out. One big buy on launch day gives you a nice candle and then nothing. Buying daily keeps steady demand under the token while people are still finding it, and the liquidity side earns fees that feed straight back into more buybacks. I'll be checking in on this one every day. Not financial advice. DYOR.frozen22d ago16K19216130701.87%
Citrini Research just released a 79-page report: "AI agents and tokenized assets have opened an era of fundamental crypto investing." They named $ONDO, $AAVE, $PENDLE, $MPL, and $LINK as top tokens. Are you positioned in the fundamentals or still chasing hype?frozen11d ago16K23838181141.98%
10 crypto updates you missed last week, and the one number behind each. 🔹 Lido’s NEST buyback has been live since August and hasn’t bought a single LDO. A new proposal ties the threshold to a smaller ~$30M budget. 🔹 KuCoin’s AI Assistant 5.0 now spans research, Earn, trading and support. It helps you finish tasks, but it doesn’t invest for you. 🔹 Stripe’s Privy is bringing XRPL wallets inside everyday apps, for XRP, RLUSD and AI agent payments. 🔹 Ekubo’s private liquidity on Starknet hides the link to your main wallet for 2.5 STRK per transaction, but trades and positions stay public. 🔹 A proposal would let Aave V4 lend against BTC that never leaves Bitcoin, through Babylon vaults. It’s step 1 of 3 in governance. 🔹 Bitcoin Core 32 runs two fee estimators and uses whichever is lower. 🔹 42 funders seeded 32% of Arc’s 1.05M new wallets in its first month. Wallet counts are not people. 🔹 JUST burned another 170.7M JST, taking total burns to 19.01% of supply. 🔹 A new Quantum Alliance says quantum-ready crypto has to cover 5 layers, not just wallets. 🔹 24 bots took over one public test wallet 126 times in 14 hours after a meme coin sent it fees. Which one matters most to you?1d ago16K1611311111.20%
The two engineers who created Agent Skills at Anthropic just told a room full of developers they stopped building agents. One general agent plus a library of skills. It stops repeating work, gets smarter after every correction, and checks its own output before you see it. Fortune 100 companies are already running this. If you’re still re-explaining the same job to Claude every session, you’re falling behind.frozen10d ago16K1752017281.43%
Layer 1s. $ETH $SOL $BNB $SUI $AVAX $TRX $ADA Which one is the most underrated right now?frozen27d ago15K1991118021.49%
Zcash lets you hold coins two ways: public, like Bitcoin, or private, where no one can see the sender, receiver or amount. Five years ago, 7.9% of ZEC was private. Today it's 28.9%, about 4.9 million coins. More holders are choosing the private option, and ZEC has run past $1,500 while they do it.frozen25d ago15K173714011.28%
Your crypto screener can now run from a Claude prompt instead of 20 minutes of manual chart scanning. @TraderMorin just showed how to connect TradingView's official MCP Server to Claude and automate an entire morning research workflow: • 00:00 - Connect Claude to TradingView with MCP • 00:34 - Set up the official connector • 01:41 - Screen the top 30 cryptos by 24h volume • 02:00+ - Filter for daily EMA trends and 4H RSI above 50 • 03:43 - Test breakout setups using SUI as an example • 06:36 - Generate a clean HTML crypto screener report • 07:34 - Explore automated watchlist workflows the biggest takeaway: Claude can turn your trading strategy into a repeatable research pipeline that pulls data, applies your filters, and formats the results automatically. no endless chart switching. no manually checking every coin. just natural language prompts connected to TradingView data. watch the demo and build your own AI-powered crypto research workflow. https://t.co/SwRE9c0B3gfrozen11d ago15K1611617031.30%
Whales Put $86.9M Into $UNI Over 30 Days, More Than Any Other Altcoin Tracked. Here’s the net whale inflow over the 30 days to Sep 25: $UNI: $86.9M (76.3% of whale flow was buying) $LINK: $56.7M (72.4%) $LIT: $35.0M (90.6%) $ONDO: $29.2M (64.0%) $ENA: $21.7M (77.8%) $UNI’s lead came right as its fee switch reached V4 pools and protocol revenue nearly tripled. Whales were buying into a token that now earns. $LIT has the most one-sided flow on the list. Over 90% of whale activity was buying. Separately, Ethereum whales added more than 166,000 ETH, about $415M, in just 72 hours between Oct 7 and Oct 10.frozen9d ago15K21016120131.65%
Two leading Ethereum L2s. One dominates DeFi liquidity. The other is betting on a network of connected chains. Which token has the better setup right now? $ARB vs $OP Head to Head Series: Leading L2s Edition $ARB: ARBITRUM The established DeFi powerhouse. → Price: ~$0.189 → Market cap: ~$1.29B → FDV: ~$1.89B → Circulating supply: ~6.79B / 10B ARB → Ecosystem value secured (19 chains): ~$13.47B → Ecosystem user ops per second: ~103 → Arbitrum One DeFi TVL: ~$1.40B → Arbitrum One stablecoins: ~$3.61B → YTD: +1.4% | 30D: +38.3% Arbitrum’s advantage is depth. Arbitrum One holds $3.61B in stablecoins and $1.40B in DeFi TVL, and Robinhood Chain, an Arbitrum chain, now produces most of the ecosystem’s activity. The DAO is making money too. It booked $6.19M of income in H1 2026, and on Sept 24 Arbitrum One switched to Priority Gas Auctions, so users can pay a tip to be ordered first. Flip side: none of that DAO income goes to ARB holders. Team and investor unlocks also keep landing every month, 463M+ ARB more, until vesting ends in Feb/Mar 2027. $OP: OPTIMISM The bet on the Superchain. → Price: ~$0.152 → Market cap: ~$350M → FDV: ~$654M → Circulating supply: ~2.30B / 4.295B OP → Superchain value secured (21 chains, excluding Base): ~$3.56B → Superchain user ops per second: ~57 → OP Mainnet DeFi TVL: ~$442M → OP Mainnet stablecoins: ~$683M → YTD: -43.3% | 30D: +59.2% Optimism’s pitch is the network around OP Mainnet. World Chain, Ink, Unichain, Soneium and Celo all run on the OP Stack, and Uniswap is moving Unichain onto OP Enterprise, with mainnet set for Oct 29. It also has a buyback. Governance approved a 12-month pilot that sends 50% of Superchain revenue into monthly OP purchases, held in the treasury rather than burned. Flip side: Base left the Superchain in February, and in January it supplied about 90% of Optimism’s revenue. Buybacks so far total 9M+ OP, against roughly 343M OP unlocking this year. That’s about one bought for every 38 released. MY TAKE Both tokens trade at almost the same multiple, about 0.1x what their ecosystems secure. So this isn’t really about which one is cheaper. $ARB has the bigger, busier ecosystem and an end date for its unlocks. $OP has a buyback, but it’s small next to its supply, and losing Base took away most of the revenue meant to fund it. My lean: $ARB for fundamentals. $OP only as a short-term momentum trade around the Unichain migration. Which would you rather hold into the next L2 expansion: $ARB or $OP?frozen8d ago15K1821818031.47%
The AI trade might be facing its biggest reality check yet. The latest All-In Podcast episode is digging into the cracks, and the numbers around CoreWeave are getting hard to ignore. Here’s what they’re breaking down: → CoreWeave’s $50B debt crunch: Bond yields >15% and CDS pricing signal distress. Will AI infrastructure become too expensive to finance? → AI vs. software economics: If AI makes software cheap to build, who survives and where does value concentrate? → Anthropic IPO watch: Mixed sentiment around valuation, fundraising, and whether expectations are overheated. → Next AI risk: Self-replicating models, safety warnings, and Bill Gates’ more cautious stance. Ben Horowitz joins the Besties to unpack it all. The bigger question is whether AI demand alone can justify the enormous cost of building the infrastructure behind it. Watch the full episode before making your next AI bet. The difference between the AI winners and losers might come down to what happens next. https://t.co/ZH91k8FgMffrozen5d ago15K1722012171.41%
Among today’s most-searched coins, these are green over seven days: $QNT: +18.6% $KAS: +14.2% $ONDO: +12.1% $PENGU: +10.5% $HYPE: +8.4% Which is worth holding?3d ago15K1851615041.47%
If $BTC bounces from here, which gets the cleanest follow-through? $SUI $ONDO $TAO $AAVE One pick.frozen9d ago15K2301417031.78%
Large-cap L1s over the past month: $SUI: +50.4% $AVAX: +46.9% $SOL: +13.8% $ADA: +9.5% $BNB: +8.9% $ETH: +7.0% Choose one to hold through the next pullback.frozen17d ago15K1801013011.38%
Made in USA Coins Are Taking the Brunt of This Week's Sell-Off. Bitcoin Slid 4.2% From $86,592 to Under $83,000, Triggering Over $550M in Liquidations. Here's the 7D breakdown: $RENDER: +4.4% $ADA: 0.0% $BCH: -3.6% $LTC: -4.2% $SOL: -4.6% $XRP: -5.7% $DOGE: -8.0% $LINK: -9.6% $XLM: -9.7% $ZEC: -13.7% $UNI: -16.3% Bitcoin is down 1.5% on the week. Nine of these eleven did worse. $RENDER was the only one in the green, and $ADA ended the week flat. Everything else bled harder than BTC, with $UNI and $ZEC both down double digits. Oil above $100, higher yields and a stronger dollar hit at the same time as Bitcoin failed to break $87K. Once support went, leverage got wiped out. || Source: CoinMarketCapfrozen14d ago15K2172412241.75%
$KAIO has been quietly outperforming $ONDO and the updates are starting to make sense. Mubadala Capital live on Base, Solana, and Sui. KASH dropping in Q4. Onchain RWA market sitting near $40B. The infrastructure was already built. Now it's filling up. @KAIO_xyz https://t.co/SgdYoKDrmmfrozen23d ago15K1901413031.49%
ARE WE UNDERESTIMATING $TAO BY FOCUSING ONLY ON AI MODELS? Bittensor Subnet 105 is enabling serverless live video streaming, letting developers build apps without managing traditional servers. Beam Studio also demonstrated moving 1TB across Cloudflare R2 regions in under 2 minutes using parallel peer-to-peer transfers. This goes beyond AI models. $TAO is expanding into decentralized compute, storage, networking, and real-time infrastructure.frozen17d ago15K2532514052.02%
10 crypto catalysts land this week, and $SOL’s biggest upgrade ever is one of them. Monday opens with CME futures going live for $BCH and $UNI. Crypto watchlist for the week of October 19: $BCH: CME Futures Launch | Oct 19 $UNI: CME Futures Launch | Oct 19 $FIL: Solstice Network Upgrade & Hard Fork | Oct 19 $ZRO: Token Unlock (~$45M) | Oct 20 $OSMO: On-Chain Vote to End Inflation | Oct 20 $ZEC: NU7 Mainnet Activation Height Set | Oct 20 $SOL: Alpenglow Upgrade (Mainnet) | Oct 21 $AERO: Merger with Velodrome & Token Conversion | Oct 21 $STRK: L1 Pivot Vote Closes | Oct 22 $SEI: REX-Osprey Staked SEI ETF Effective Date | Oct 23 Monday and Tuesday are packed, with three catalysts each. Tuesday brings the $ZRO unlock, the $OSMO inflation vote and the $ZEC NU7 decision together. Then the week builds toward $SOL’s Alpenglow on Oct 21 and the staked $SEI ETF’s target effective date on Oct 23. Which one are you watching most?frozen4d ago15K1963017181.71%
What if the biggest AI opportunity isn't building a startup? It's buying a boring business and rebuilding it with AI. Around $5T of U.S. businesses could change hands by 2035, and many are service firms still running on expensive human workflows. The play: → Buy an established business → Keep the customers, trust and licenses → Map the repetitive work → Deploy AI agents across the back office → Push margins higher without scaling headcount One example: Larson Gross reportedly cut an accountant's workload from 180 hours to 15 on one recurring task. The real thesis: Don't build demand from zero. Buy an existing cash-flow machine, then use AI to change the economics.frozen26d ago15K2052217091.73%
$QNT has the momentum. $LINK has the fresh upgrade. $ONDO has the tokenization story. $XLM has the settlement angle. Which RWA coin would you buy today?frozen20d ago15K202922111.61%
Stop chasing new AI tools. That's not what separates great AI builders from everyone else. The real edge is mastering 8 skills that still matter when today's tools become obsolete: → Understanding where models fail → Engineering the right context → Designing reliable agent architectures → Running real evaluations, not guessing → Operating AI systems in production → Knowing enough software engineering to catch bad tradeoffs → Directing coding agents effectively → Knowing what is actually worth building But one skill deserves your attention first: Evals. Pull 10 outputs from an AI workflow you use. Mark each pass or fail against a clear standard. No fancy framework. No new tools. Just evidence. Read the full article for all 8 skills and practical exercises to sharpen each one.frozen13d ago15K16819170191.53%
$TAO has broken out, but $320–$330 still needs to become support. https://t.co/wCrCDrc8MFfrozen29d ago15K2372010021.85%
With Both Gold-Backed Tokens in the Red While $QNT Nearly Quadrupled in a Month, Is "Safe Haven" Positioning in RWA Completely Backwards Right Now? Here's the 30D breakdown: $QNT: +382.94% $AVAX: +57.79% $INJ: +53.23% $ALGO: +48.07% $ONDO: +44.37% $HBAR: +41.66% $PENDLE: +35.67% $SYRUP: +32.86% $VET: +29.68% $LINK: +29.22% $XLM: +26.28% $XDC: +21.38% $SKY: +18.80% $XAUt: -5.34% $PAXG: -5.33% Thirteen of fifteen tokens closed the month green, with $QNT posting a run so extreme it dwarfs everything else on this list, nearly 4x in 30 days. Yet the two tokens most associated with capital preservation, $XAUt and $PAXG, are the only names in the red. Meanwhile growth-oriented names like $AVAX, $INJ, and $ALGO all posted 40-58% gains, the exact opposite of what you'd expect if investors were rotating into RWA for safety. If gold-backed tokens are supposed to be the defensive play in this sector, why did they underperform every single growth-oriented RWA token this month? || Source: CoinMarketCapfrozen21d ago15K2242512181.86%
Your AI coding agent doesn't need more prompts. it needs a better environment to work inside. David Ondrej's interview with Daniel Miessler breaks down the agentic engineering workflow behind treating AI agents like unsupervised engineers: • 08:27 - Build trust through verification, skills, and agent-friendly architecture • 16:54 - Turn every agent mistake into a permanent system upgrade • 20:04 - Make the codebase the agent's long-term memory • 24:18 - "Garden" the codebase so agents don't amplify technical debt • 32:45 - Build a software factory around your agents the key shift: Prompts → Context → Verification → Feedback → Autonomous Engineering Miessler's broader PAI work follows the same philosophy: structured memory, skills, goals, agents, delegation, and verification become the scaffolding around the model. the goal isn't to make agents smarter. it's to build a system where every correction makes the next run better. watch the interview, then start designing your own agent-ready codebase. https://t.co/v7W9K2fFpJfrozen25d ago15K1952527251.75%
Kraken Is Part of Four of the Ten Biggest Crypto and TradFi Partnerships of 2026, and Wall Street's Biggest Names Are Now Building Directly on Crypto Rails Feb 11: BlackRock x Uniswap BlackRock's $2.1B BUIDL fund became tradable through UniswapX via Securitize, and BlackRock bought UNI as part of the deal. Feb 11: Franklin Templeton x Binance Binance institutional clients can post Benji tokenized money market fund shares as off-exchange collateral, held by Ceffu. Mar 11: Mastercard x Binance, PayPal, Ripple & 85+ Firms Mastercard's Crypto Partner Program plugs more than 85 crypto firms into its existing payments network. Apr 15: Ondo x Clearstream x 360X (Deutsche Börse) Ondo's tokenized US stocks and ETFs went live on 360X, the Deutsche Börse-backed venue in Frankfurt. Clearstream custody and collateral come next. May 5: State Street x Galaxy SWEEP, a tokenized cash fund built for 24/7 onchain cash management, launched on Solana. May 12: Franklin Templeton x Payward (Kraken) Kraken's parent is integrating Benji tokenized money market funds and will co-build onchain yield products with Franklin. Jun 9: Kraken x FIFA Kraken became the first crypto exchange with an official World Cup role in the tournament's 96-year history. Aug 4: BNY x Galaxy BNY added staking inside its custody platform, with Galaxy running the infrastructure. Client assets never leave BNY. Sep 3: SoFi x Kraken SoFiUSD came to Kraken, Payward joined the SoFi Exchange Network for 24/7 dollar settlement, and SoFi now routes crypto orders through Kraken Prime. Sep 10: Nasdaq x Payward Nasdaq put $100M into Kraken's parent at a reported $21B valuation, with tokenized equities targeted for Q2 2027. Tokenization shows up in seven of the ten. Franklin Templeton and Galaxy each appear twice. Kraken keeps showing up more than anyone else.frozen14d ago14K1721715041.44%
Some of you refuse to admit that you are the reason you're not getting hired in the AI era Spend 3 minutes on learning why You need proof that you can use AI to change how work gets done. The people actually hiring in the AI era are looking for candidates who can: → Experiment instead of blindly follow playbooks → Combine domain expertise with AI fluency → Work across multiple functions → Show real workflows and projects → Explain what they would automate before getting hired The biggest mistake is saying: “I know how to use AI.” Everyone says that now. The real differentiator is: “Here’s the process I would rebuild with AI, and here’s what I’ve already built to prove it.” A working workflow, agent, demo, or public case study can become your strongest career signal. Read the full article below for more on how to get hired during the AI erafrozen19d ago14K1711313051.40%
Render Network: 80.7M frames processed. 1.53M $RENDER burned cumulatively. 5,600+ active nodes. AI workloads: 35-40% of network activity. Price at $2.00. Usage at all-time highs. Watch $RENDER closely https://t.co/I2VEwnUI6Yfrozen14d ago14K2962612132.34%
Chainlink partnered with Infosys, whose financial services support 1.7 billion banking accounts globally, to standardize blockchain infrastructure for institutions. The goal is to make institutional blockchain adoption more consistent and easier to deploy at scale. $LINK at $13.06, up 20.3% over 7 days. Is this the institutional breakout?frozen27d ago14K2892111242.27%
Stop making cartoons manually. the real AI play is building a system that can script, generate, check, and publish them for you : • 14:52 - Build the core pipeline with n8n + Claude • 22:18 - Plan the story, scenes, and costs first • 42:44 - Fix the real bottleneck: the script • 50:10 - Automate the full generation chain • 57:36 - Scale research with Apify the workflow is simple: Story → Script → Generate → Check → Publish and the key isn't another one-click cartoon tool. it's connecting AI agents and automation into a repeatable content machine. watch it today, then build the pipeline behind your next faceless channel. https://t.co/3o9nm5btY2frozen17d ago14K1781015081.47%
Greg Isenberg thinks OpenAI just opened a new distribution layer for AI businesses. after watching DevDay, he says four launches matter most : • 01:48 - Dots: always-on agents that can execute real tasks • 05:02 - Decisions API for agent routing and next-step decisions • 06:43 - Agents API + computer use for multi-agent workflows • 08:01 - Sign in with ChatGPT for lower-friction AI products • 13:46 - The bigger opportunity: Work APIs + agent discovery the interesting shift: Apps → Agents → Agent-Selected Services Dots can operate in the background, use connected tools, and handle multi-step work. OpenAI says Dots are powered by GPT-6 Astra and can work across thousands of applications. the founder alpha is what happens next: build a niche workflow. give the agent a reason to choose you. own the trigger → decision → action → feedback loop. that's where Greg sees the new AI startup opportunity. https://t.co/fTbe4QUgGpfrozen22d ago14K1811916031.53%
The next $1M AI career might not involve building models. Greg Isenberg's 53-minute masterclass explains the rise of the Forward Deployed Engineer: people who embed AI agents directly into enterprise workflows and get paid for the results. • 00:00 - Why FDEs can generate $1M+ in value • 10:00 - Map how work actually happens • 18:00 - Sort every task: Delete → Automate → Agent → Human • 28:00 - Cut a real AP workflow from 17 steps to 7 • 36:00 - Why the cheapest effective model often wins • 40:00 - The skills top FDEs actually combine • 45:30 - How to get your first real-world deployment the biggest shift: Don't build another AI app. Re-engineer the workflow inside the tools companies already use. the valuable skill isn't just coding. it's knowing what to remove, what to automate, what needs an agent, and what should stay human. watch it today, then start mapping one real workflow you could redesign with AI. https://t.co/cBAXVipyBJfrozen20d ago14K175715031.41%
https://t.co/5BImq8Wb05frozen18d ago14K204181301052.40%
If you invested $10,000 in each of these top DePIN coins at the start of September, here's where you'd stand today: $AR: $20,343 | +103.43% $AIOZ: $20,462 | +104.62% $GRASS: $19,146 | +91.46% $FIL: $15,447 | +54.47% $ICP: $13,782 | +37.82% $RENDER: $13,229 | +32.29% $THETA: $13,200 | +32.00% $TAO: $13,150 | +31.50% $BTT: $12,939 | +29.39% $AKT: $12,621 | +26.21% $EGLD: $12,040 | +20.40% $ZBCN: $11,492 | +14.92% $GLM: $11,158 | +11.58% $TRAC: $11,061 | +10.61% Every single token in this basket closed September green, a rare clean sweep for a sector that's spent much of the year underperforming. $AR and $AIOZ both more than doubled, with $GRASS not far behind at over 91%. Even the sector's low performaers, $TRAC and $GLM, still managed solid double-digit gains, showing this was broad-based strength across DePIN rather than one or two names carrying the narrative. || Source: CoinMarketCapfrozen23d ago14K2342619292.06%
Old coins nobody can fully kill. Which ancient coin has one more violent run left? $LTC $BCH $ETC $XLM $NEOfrozen24d ago14K1901319041.60%
WALL STREET IS BUILDING 24/7 COLLATERAL RAILS WITH $LINK AT THE CORE. At Sibos 2026, DTCC and Chainlink showcased the Collateral AppChain, targeting near real-time collateral management across traditional finance and blockchains. → Chainlink Runtime Environment coordinates systems → CCIP enables secure cross-chain asset transfers → Intraday collateral movement without fragmented workflows → Expected launch: Q1 2027 DTCC sits at the heart of U.S. financial infrastructure. $LINK is positioning itself to connect traditional markets with the always-on financial system.frozen11d ago14K2491612142.01%
What if slowing down AI could cost more lives than accelerating it? Nick Bostrom, author of Superintelligence, makes a provocative argument: If superintelligence can cure aging, every year we delay has a human cost. His case goes beyond speed: → A long AI pause could delay life-saving medical breakthroughs. → Short, targeted pauses for testing could reduce risks. → Indefinite delays could concentrate power or trigger backlash. → Future AI minds may experience forms of consciousness humans can barely imagine. → Building cooperative superintelligence matters just as much as controlling its risks. The real dilemma isn't simply AI progress vs. AI safety. It's weighing the dangers of moving too fast against the lives and breakthroughs lost by waiting. Bostrom's point isn't that we should ignore AI risks. It's that inaction has risks, too. Watch the full interview for a deeper look at the future of AI, consciousness, and humanity. https://t.co/6tAqOrPxg6frozen12d ago14K1761515121.49%
$ZEC was around $225 when I highlighted the weekly bounce back in March, after a 74% correction. It’s now trading around $1,628. Roughly 622% higher, or just over 7.2x the price on that original chart. The bigger picture was the multi-year rounded base underneath price. That was the structure behind the idea, and the recovery has now carried well beyond the previous peak around $750. What started as a bounce after a deep correction has developed into a much larger continuation. The old horizontal zone around $280–$320 is now far below price, and the latest weekly candles show how sharply momentum has accelerated. My bullish read has strengthened, but the next thing I’m watching is how this weekly candle finishes. We’ve reached $1,650 this week, with price still trading just beneath that high and several days left before the close. A weekly close above $1,650 would give me another continuation signal. Until then, I’m treating it as the immediate high to clear, rather than assuming the next leg has already started. After a move this large, I also want to see where buyers defend the next pullback before naming fresh support. There’s no need to invent a distant target just because the chart has gone vertical. The original bounce has delivered a substantial move. From here, I’m watching whether $ZEC can build on it above $1,650.frozen29d ago14K2081814111.73%
AI-agent coins over the past month: $RLC: +218.8% $FET: +25.5% $TRAC: +24.8% $KITE: +19.9% #VIRTUAL: +14.0% Which ticker is still underowned?frozen5d ago14K1491615031.32%
Tokenized stocks just crossed $3B, up 314% YTD from under $1B at the start of 2026. RWA market: $46.7B, up 17.4x in three years. Institutions are moving billions onchain. I'm bullish on $ONDO!frozen19d ago14K2361915001.95%
Chainlink launched CCIP 2.0. But $QNT has been the strongest RWA trade over the past month. $QNT: +386.5% $ONDO: +45.8% $XLM: +28.3% $LINK: +27.5% Which ticker gets your money?frozen22d ago14K2261913011.87%
$RENDER JUST HAD ONE OF ITS BIGGEST MONTHS OF 2026. From $1.41 to $2.03, $RENDER rallied roughly 27% in a week while network activity passed 80.7M rendered frames. But the bigger catalysts were underneath: → 60,000+ GPUs added via Salad → 1.53M+ RENDER burned → 98.4% supply migrated to Solana → 5,600+ active nodes → 21% Grayscale AI fund allocation → MCP integrations bringing Render compute to AI agents The chart recovered. The infrastructure kept expanding. $RENDER is increasingly becoming an AI compute play, not just a rendering token.frozen19d ago14K3743523063.18%
Most token launches feel rigged before you've even clicked buy. Bots take the first block, insiders sit on a stash, and you're left as the exit. I've mostly stopped bothering. That's why @GachaPad stood out to me. It's a launchpad that works like a gacha machine. There's no bonding curve. You pay to pull, you get a random bag of the token, and the odds are the same whether you're first or ten-thousandth. Chainlink VRF decides what you get, so nobody can rig it, not even the team. There's no first block for bots to snipe, and when a launch graduates, the liquidity is locked forever. And now their token has a date. $GACHA launches October 7 on Virtuals, on Base. The token is the part I like most. Every launch on the platform puts up to 10% of its supply into a holder vault. Stake and lock $GACHA and you get a share of every token that graduates. You don't have to be good at picking winners, and in the trenches most people aren't. Every new launch lands in the vault, and the busier the platform gets, the more it's worth holding. If you're thinking of getting in on the day, this is what I'd have ready: a Base wallet, some $VIRTUAL to buy with, and a little ETH on Base for gas. And please only trust the contract address when @GachaPad posts it. Launch days bring out the fake CAs, so if someone sends you one first, it's a scam. Not financial advice. DYOR.frozen17d ago14K1651718061.51%
The scariest AI future might be one where AI works exactly as intended. Garrison Lovely, author of Obsolete, explains to Mario Nawfal why the biggest threat may not be AI rebelling against humans, but AI making human labor and influence obsolete: 00:00: why AI cyber and bio risks are accelerating 05:00: how AI lowers the barrier to sophisticated cyberattacks 10:00: recursive self-improvement and why unplugging AI may not be simple 15:00: what happens when AI can replace human labor at scale 20:00: the challenge of keeping increasingly capable systems under control 26:00: the darker scenario: wealth concentration, mass surveillance, and autonomous weapons 30:00: how robotics could accelerate AI's impact on the physical world 36:00: why public awareness and political pressure may determine what happens next if AI follows its owners' instructions perfectly, replaces workers, concentrates wealth, and expands surveillance, ordinary people could lose economic and political leverage without a single machine uprising. Watch the full interview, then ask yourself: who will AI ultimately serve, and who gets to decide? https://t.co/KVt6scT95pfrozen8d ago14K1701510131.46%
Most people are still picking the wrong personal AI agents. Grok Bot leads on research and voice, Muse wins pure UX and calling, Claude Duet feels the most proactive. ChatGPT Dots ties everything back to your existing threads, but every one still has a clear gap. Which one are you actually running as your daily agent right now?11h ago14K1681732001.59%
$TAO Q3 Recap 🔹 $TAO rose 49% in Q3, from $202 to $301, as Bittensor shipped 8 protocol upgrades. Here’s what changed, grouped by what it means: 🔹 WHERE STAKING REWARDS GO 🔹 Root Reborn (v441): root rewards now flow into subnet baskets that validators pick, instead of being auto-sold into $TAO. 🔹 Curated Beta (v450): validators build those reward baskets, with no more than 1/16 (6.25%) in any single subnet. The chain prices each basket and its yield. 🔹 v448 made root claims predictable and cross-subnet stake moves safer. 🔹 Basket trading (v461) is built but switched off until governance turns it on. 🔹 WHO EARNS AND WHO OWNS SUBNETS 🔹 The Emission Gate (v440): a subnet now has to beat a market-set demand bar to earn emissions. Idle slots stop earning. 🔹 v431 made subnet ownership contestable by locking alpha, tied emissions to price, and shipped a new Rust-based SDK. 🔹 v447 (Aug 14): taking over a subnet now needs 18% conviction from a single hotkey, up from a 10% subnet-wide bar. 🔹 INSTITUTIONS 🔹 TAO Synergies (Nasdaq: TAOX), the largest public TAO holder, added Bittensor investor and author Mark Jeffrey as an advisor on July 8. 🔹 Grayscale’s Bittensor Trust sold 148,800 more shares to accredited investors, backed by 2,814 TAO (about $651K). 🔹 UNDER THE HOOD 🔹 v446 repaired historical alpha accounting and added Liquid Alpha consensus modes. Which Q3 change matters most for $TAO’s next leg: Root Reborn or the Emission Gate?frozen5d ago14K2111814271.87%
Claude Opus 5.5 just landed, and Miles Deutscher says it feels dangerously close to AGI. the new model is pushing agentic coding, long-horizon tasks, and cost efficiency into a different tier : • 03:36 - Benchmark results across coding and knowledge work • 08:33 - Live demos of complex multi-step tasks • 11:00 - Drop Opus 5.5 onto your own codebase • 13:00 - Head-to-head testing against Fable 5.1 Anthropic says Opus 5.5 leads on agentic coding, computer use, and knowledge work, while typical workloads cost 40% less than Opus 5. Its API pricing is $4/M input and $20/M output tokens. the interesting part isn't the benchmark screenshots. it's watching an agent plan, debug, execute, review, and keep going with far less hand-holding. people are already arguing over whether the demos live up to the hype. watch it and decide for yourself. https://t.co/qiFoqALUpHfrozen28d ago13K1921916281.77%
$TAO touches $232, then kaboom https://t.co/WCvhRxGAAcfrozen3d ago13K2252012021.94%
Tokenized equities just hit $3.8B, up 483% since January, while weekly DEX volume exploded 55x. $Ondo still holds the largest issuer spot at $1B, even after its market share slid from 56% to 26%. Is Ondo still the RWA king, or is the crown slipping? https://t.co/J8jMabBD9Lfrozen4d ago13K1922113011.70%
October gives you one clean altcoin breakout. Which ticker are you betting on?frozen21d ago13K1741715001.55%
Your Grok bot can now have its own inbox to: → Sign up for services on your behalf → Contact businesses directly → Schedule meetings with people → Communicate without using your personal email This is bigger than another chatbot feature. An agent that can communicate externally can start operating beyond the chat window. Give it a task, and it can begin handling the interactions needed to get things done. The next step is connecting email to calendars, apps, payments, and entire business workflows. AI agents are moving from answering questions to taking action in the real world.frozen12d ago13K1752221031.66%
This is insane! Grok Bot took 7m 40s. This AI assistant did it in 22 seconds. Cerebras built a faster Grok Bot-style assistant using Qwen 3.8 27B + Pi, cutting the recorded dinner-reservation task by roughly 19×. The biggest gains came from: → Running independent checks in parallel → Saving website procedures as reusable skills → Reducing tool calls by 80%+ → Using much faster model inference The real lesson: Agent speed isn't just about the model. It's model + harness + tools + memory + workflow design. Faster agents could make autonomous AI feel less like waiting for software and more like delegating to it.frozen26d ago13K179119131.53%
5 of 6 $BTC bull-run signals have fired since the June low. The one still missing is the only one with a perfect record. BTC bottomed at $58.5k on 30 June. Since then: Back above the 200D SMA on 19 Aug Weekly close above the bull market support band on 23 Aug Weekly close above the 50W EMA on 23 Aug Weekly close above the full EMA ribbon on 6 Sep Golden cross on 8 Sep All five landed 50 to 70 days after the low. After the 2015, 2018 and 2022 lows, the same signals took 65 to 290 days. The missing one is the weekly ribbon flip: the 20W EMA crossing above the 55W EMA. 4 for 4 since 2013. It has never fired in a bear market. That matters. 35 of the 36 bull signals that fired inside past bear markets failed. 20W EMA: $73.6k 55W EMA: $78.3k A 6.4% gap. Watch it close.frozen21d ago13K1741713101.55%
$ONDO Q3 Recap 🔹 $ONDO rallied 62% in Q3, from $0.308 to $0.500. RWA adoption keeps growing, but how much of that traction actually flows back to the token? 🔹 U.S. Market Access On Jul 2, Ondo launched its first custodial tokenized securities, BlackRock’s IVV and Micron, with the real shares held by regulated custodians. U.S. investors can’t access them yet. On Jul 23, Ondo’s broker-dealer Oasis Pro Markets received SEC and FINRA authorization to offer tokenized stocks, ETFs and mutual funds to U.S. investors. 🔹 Products and Network SK Hynix was tokenized on Jul 10, the same day as its record $26.5B Nasdaq IPO. Ondo Global Markets became Ondo Stocks on Jul 13 after crossing $1B. Ondo Network launched on Jul 27, replacing the Ondo Chain plan. Its first app, Ondo Perps, passed $8B in volume within weeks. USDY went live on BNB Chain on Aug 4 with instant minting and redemption. Ondo Stocks went live on NEAR on Sep 22. On Sep 24, Ondo launched three Intelligent Portfolios built on BlackRock model strategies. 🔹 Institutions Former GFMA executive director Allison Parent joined as Chief Policy Officer. Oasis Pro became the first tokenization member of DTCC’s Fund/SERV, the network behind 85%+ of U.S. mutual fund activity. Alpaca and Ondo launched in-kind conversion, so approved institutions can turn real shares into Ondo Stocks and back. KakaoPay Securities signed an MOU to explore tokenizing Korean stocks for global investors. The products are clearly growing. The open question is how much of that growth reaches $ONDO holders. Does this rally hold if the token never captures the fees?2d ago13K2452320012.20%
3 days into the MeridianCapDAO buyback and it's doing exactly what they said it would. $900K is going into $MCD over 60 days, roughly $15K a day on average. It's not one big buy and a nice candle. It's steady demand under the token every single day. What I like more is that the treasury isn't just sitting on the raise. It's already earning. The assets are in liquidity pools on Robinhood Chain collecting trading fees and those fees feed back into more buybacks, burns and deeper liquidity. Most tokens launch and hope revenue shows up later. Meridian's treasury was earning in week one. 57 days of buying still to go.frozen20d ago13K1841311121.61%
What if $TAO’s biggest catalyst isn’t another AI model, but the businesses already making money on Bittensor? The October 5–11 ecosystem updates offer some clues: → Lium (SN51): $1.4M in GPU spending over 30 days, up 45%, with most GPU types fully rented out. → Almanac (SN41): Record $69,868 in September fees, with 100% used to buy back and burn TAO and subnet alpha. → Score (SN44): Manako rolling out AI monitoring across 124 unmanned fuel stations in France. → Engy (SN53): Joined Liquid Inference, where providers compete on price across 700+ AI models. → Beam (SN105): Integrated with Hermes Agent to move data across clouds, servers, and apps. → Actual (SN95): Its new open-source tokenizer claims speeds up to 151× Hugging Face tokenizers. → Reliquary (SN81): Opening on-demand AI post-training services to other subnet teams. The contrarian thesis: Bittensor may be more than a bet on decentralized AI. It's becoming a marketplace for GPU capacity, AI infrastructure, and revenue-generating services. The key metric to watch: how quickly real customer demand grows relative to token emissions. Are you accumulating $TAO before the market catches on, or do you need to see stronger revenue first?frozen10d ago13K2222314142.03%
$LINK Q3 Recap 🔹 $LINK doubled in Q3, from $7.19 to $14.36, and Wall Street spent the quarter building on Chainlink. 🔹 Tokenized Stocks Robinhood Chain launched Jul 1 with Chainlink live from day one. Data Feeds price stock tokens like NVDA and AAPL, and CCIP moves them across chains. On Aug 24, Coinbase started pricing its B20 stock tokens on Base with Chainlink Data Feeds, and those tokens can be used as collateral on Aave. 🔹 Banks and Governments Wyoming moved its state stablecoin FRNT to CCIP on Aug 18. It dropped LayerZero after a state security review, and CCIP is now its only cross-chain rail across 8 networks. On Sep 2, FRNT added Chainlink Proof of Reserve, so reserves are published onchain and no new FRNT can be minted above them. On Sep 28, banks got a way to connect to Swift’s blockchain ledger through Chainlink. They keep their own signing keys, and 17 banks are preparing live pilots. 🔹 Protocol CCIP 2.0 launched Sep 28 with optional extra verifiers, transfers faster than finality, modular fees and built-in compliance. Chainlink says CCIP has secured more than $84B in token value. Node v2.65.0 shipped cleaner error reporting for node operators. 🔹 The Token The Chainlink Reserve added 373,791 LINK in September, about $4.3M in a single month, and now holds more than 6.05M LINK. Robinhood, Coinbase, Swift and a US state all picked the same infrastructure in one quarter. Is $LINK still underpriced for what it secures?frozen4d ago13K3443028233.13%
Not a single “Made in USA” coin escaped the sell-off this week. All 11 are red over the last 7 days, with an average loss of 9.4%. If you invested $10,000 in top US-based coins 7 days ago, today you would have: $XRP: $9,343 | -6.6% $LINK: $9,264 | -7.4% $DOGE: $9,138 | -8.6% $RENDER: $9,134 | -8.7% $XLM: $9,072 | -9.3% $LTC: $9,070 | -9.3% $SOL: $8,976 | -10.2% $UNI: $8,959 | -10.4% $ZEC: $8,924 | -10.8% $BCH: $8,916 | -10.8% $ADA: $8,849 | -11.5% Bitcoin lost just 2.0% over the same week. Every coin on this list fell at least 3x harder. $XRP held up best and still gave back $657 on every $10,000. $ADA took the biggest hit at -11.5%. Openersfrozen7d ago13K1862410041.72%
Hackers stole about $2.48 billion in crypto from January to September 2026. Here’s where it was taken from: → Ethereum: $534M (KelpDAO alone was $291M) → Multi-chain hacks: $493M (mostly Bitget’s $387.5M) → Solana: $343M (Drift, $285M) → Liquid: $319M (one exploit) → Bitcoin: $242M (Coldcard wallets, $112.7M) → Litecoin: $158M (one person’s wallet) → Cronos: $120M (Tectonic) The top 5 incidents add up to more than half the total. Most of this money didn’t go through smart-contract bugs. It went through stolen keys, hacked signers and people talked into handing over access. Ethereum topped the list, but its biggest single loss, KelpDAO, came from a compromised bridge setup, not broken code. The chain doesn’t matter much if someone gets your keys.frozen10d ago13K1772022121.71%
RWA holders just hit 5.26M, up 16.3% in a month. The crowd is coming. Institutions are already here. One of these groups will be right. Which one are you in?frozen5d ago13K1811615121.66%
Most AI agents are built to act. The interesting ones are being built to decide first. This builder put Jev inside an agentic coding harness to handle bounded choices like: → Which model should run the task? → Inspect, implement, verify, or answer? → Which tools should be available next? Jev returns a typed decision, while the host validates it before anything executes. That creates a cleaner architecture: Model decides. Harness controls. Tools execute. The bigger idea is turning every agent decision into something you can trace, test, replay, and improve.frozen28d ago13K165919091.56%
Caption 10 AI tool updates you missed last week, and every one of them makes agents a little more useful at real work. 🔹 Claude Code Review is GA. Reviews now take 6 to 10 minutes, down from about 20, with Quick, Standard or Deep modes for Team and Enterprise. 🔹 An Anthropic sales rep in Japan runs his day with six Claude agents that route leads, qualify them, draft replies in two languages and update Salesforce. He still reviews every email. 🔹 Codex now lets you steer a task while it’s running. Send a follow-up and it changes direction, or interrupt it and the running tool calls stop too. 🔹 DeepSeek opened its search engine as an API. Search and Fetch cost $0.75 per 1,000 successful calls each. 🔹 Gemini Skills let you save a workflow once and reuse it. The app rollout finishes by mid-November, but Workspace access is delayed. 🔹 Replit now deploys into your own cloud, with three options for enterprise customers. 🔹 GitLab’s MCP server is GA. Your agent can dig into a failed pipeline, read the logs and start a fix, all under your existing permissions. 🔹 Grok Voice 3.0 runs a voice agent for $4.80 an hour. Starlink says about 70% of its calls get resolved without a human. 🔹 Mirelo SFX 2.0 replaces a video’s soundtrack but keeps the dialogue, for videos up to 10 minutes. 🔹 Figma Specs give coding agents the full brief, not just screenshots. Open beta on paid plans. Which one are you trying first?2d ago13K1812220131.76%
Ondo just surged 28% to $0.53 on $1.09B in 24-hour volume. Market cap: $2.56B. RWA protocols above $300M market cap are ALL up on the day. Is $ONDO the RWA king or is there a challenger? https://t.co/SNlb4yJIswfrozen25d ago13K3992611033.41%
GOOGLE'S TEAM JUST PUBLISHED A 9-PAGE PDF ON HARNESS ENGINEERING. And one formula changes how you should think about agents: Agent = Model + Harness The interesting part? Same Claude Sonnet. Same benchmark. Only the harness changes. The playbook comes down to 6 layers: STEP 1 → Add guides: AGENTS.md, rule files, constraint docs. Every mistake becomes a permanent rule. STEP 2 → Add sensors: linters, tests, validators. The agent checks its own work before a human ever sees it. STEP 3 → Build the loop: Plan → Execute → Verify → Fix. Add retry limits, spending caps, and escalation when it gets stuck. STEP 4 → Externalize memory. The model forgets between sessions. The harness preserves state, decisions, context, and artifacts. STEP 5 → Control permissions. Define which tools it can access, how much it can modify, and what requires approval. Safety belongs in the harness, not the model. STEP 6 → Add observability. Track tool calls, costs, retries, failures, and behavior changes. Then trigger alerts when the system starts drifting. The result? Your agent stops being a demo and starts becoming infrastructure. Every failure improves the system itself, not just the next chat. That’s the difference between an agent you show off and one a client pays you to keep running. And one harness gives you a reliable loop. Connect multiple agents and you get graph engineering: One agent’s failure becomes another agent’s signal. The PDF ends at the harness. The loop is the next layer. That breakdown is below ↓ https://t.co/Rvedk4PLdkfrozen17d ago13K18712161251.88%
$SOL’s Alpenglow upgrade activates Wednesday. Finality targets a move from 12.8 seconds to about 150 milliseconds. $SOL $JUP $PUMP $MET Which ticker benefits most?frozen4d ago13K1681611021.54%
Meta may have just made AI agents boring enough for everyone to use. Alex Finn breaks down Muse, Meta's new personal AI agent that can browse, book, manage tasks, work toward goals, and keep running after you close the app. Meta says Muse runs inside a dedicated secure virtual machine and is free within usage limits. • 00:29 - The "god thread" and proactive agent design • 06:10 - Feeds, ideas, and goal-based automation • 08:43 - Muse creating useful work without being prompted • 11:00 - Instagram and Facebook integrations • 13:42 - Cloud execution vs. local AI • 18:24 - Who Muse is actually built for the interesting shift: Chatbot → Personal Agent → Persistent Assistant instead of asking AI what to do, you give it an outcome and let it handle the steps. watch the breakdown, then compare Muse against the agent stack you're already using. https://t.co/eMDUOou4Eqfrozen27d ago13K1791115121.64%
$NEAR has already broken out of two consolidation boxes. I’m watching $5.40 for the third. https://t.co/T6CSMB0NFVfrozen12d ago13K3122412012.76%
Hermes just stopped being “an AI agent” and started looking like an AI workforce. the latest Pantheon release turns Hermes into a persistent roster of specialized bots that can collaborate, remember, and work in parallel. • 00:32 - Bot Mode: named agents with their own memory, skills, and models • 02:52 - Run models locally instead of relying only on cloud APIs • 05:12 - Hermes HUD for live visibility and control • 08:40 - Watch and steer parallel subagents in real time • 10:01 - Memory-backed cron jobs that keep continuity between runs the real shift: One Agent → Bot Roster → Delegation → Persistent Memory → Autonomous Work your bots can now talk to each other, hand off work, run scheduled routines, and keep you in the loop without forcing everything into one giant chat. this is what an open-source agent stack starts to look like when the agents become the team. https://t.co/jIv4VXf6lvfrozen24d ago13K1771414061.67%
$ETH just broke out! I'm bullish for a recovery while price stays above that line, currently around $2,410–$2,420. I’m watching $2,470–$2,490 followed by the larger $2,535–$2,545 resistance zone. This is an early trendline break so I still want to see follow-through before calling a larger reversal. Falling back below the line would weaken the breakout and bring $2,360–$2,380 back into focus. For now, I’m watching whether buyers can defend the break and clear those nearby highs.2d ago13K1732014021.66%
Binance just invested $100 million in Circle. The stablecoin war is getting serious. Which table do you trust the most? $USDT $USDC #USD1 $USDS $DAI Let us know below 👇frozen28d ago13K1781013021.61%
Crypto keeps promising real payments. Which project has the best chance of becoming something people actually use? Comment below2d ago13K1691315101.57%
$LINK in the next few weeks https://t.co/l3aDY1lqSqfrozen9d ago13K280279042.54%
A DTCC Commercial Tokenization Launch, Two XRPL Protocol Upgrades, and Chainlink's CCIP 2.0 Are All Landing in October. RWA's institutional buildout keeps accelerating. Here are the major catalysts for the month: RealFi ($ADA): targeting an October 1 mainnet launch for USDr, its reserve-backed stablecoin. The unstaked version is backed by tokenized money-market funds and AAA CLO ETFs, and the staked version adds private credit with a seven-day cooldown $PLUME: joined the DTCC Digital Assets Solutions Industry Working Group ahead of DTCC's October commercial tokenization launch, backed by Plume's SEC transfer agent registration $ONDO: a DTCC tokenization participant alongside BlackRock, JPMorgan, Goldman Sachs, Nasdaq, and NYSE, and the first to issue tokenized stocks backed by DTC token entitlements (CRCLon and SPYon) $CFG: CP172 passed with 98.53% support, enabling 1:1 conversion of CFG into Centrifuge, Inc. shares, with the legal and operational steps to activate it landing in October $SYRUP (Maple Finance): hosting its Q3 Ecosystem Update Call on October 13 after a record H1 with $4.6B AUM (up 81% YoY) and $5.4B in YTD originations, alongside a syrupUSD upgrade to Chainlink CCIP 2.0 $XRP: PermissionDelegationV1_1 activates October 5 and the Batch amendment follows October 9, alongside XRP Seoul 2026 on October 3 featuring Woori Bank, Kakao Bank, Kyobo Securities, and Kbank $LINK: CCIP 2.0 went live September 28 with issuer-run Cross-Chain Verifiers, configurable settlement speeds, and built-in compliance via Chainlink ACE, securing over $84B in cross-chain value BUIDL (BlackRock): holders can redeem for RLUSD 24/7 through Ripple and Securitize's smart contract, live since September 2025, with BUIDL the largest tokenized Treasury product at ~$2.8B $KAIO: Nomura's Laser Digital-incubated RWA tokenization protocol, with a fixed 10 billion token supply and its retail-focused KASH product RWA Inc ($RWA): first monthly RWAINC distribution to Diamond holders on October 1, then a token unlock of ~18.3M tokens (~$30.7K, 2.4% of market cap) on October 25 MindChain ($NILA): mainnet launch scheduled for October as the "world's first fully insured blockchain," alongside its Migration Portal opening and a U.S. listing of NILA The DTCC launch is the biggest story this month. $PLUME and $ONDO are both inside it, next to BlackRock, JPMorgan, Goldman Sachs, and the major exchanges. Which catalyst are you watching closest?frozen22d ago13K32653222473.58%
Claude Max and Team plans now come with a monthly API budget: → Max 5x: $100 a month → Max 20x: $200 a month → Team: $20 per Standard seat and $100 per Premium seat, pooled and capped at $500 On Max, the credit is the same as what you pay, so a $200 plan gets $200 of API usage on top. What you can spend it on: the Claude API, the Agent SDK, Managed Agents and the Console Playground. It works with any Claude model. What you can’t: Claude Code sessions in your terminal or IDE, or extra usage in the Claude app. It also doesn’t raise your plan’s usage limits. The credit expires at the end of each billing cycle, so use it or lose it. Pro, Free and Enterprise plans don’t get it. To claim it, go to Settings → Billing on https://t.co/OPQBxgtWiH and link a Console organisation. If you’ve wanted to build something on the API but didn’t want another bill, this pays for it.frozen11d ago13K1692212031.64%
Two heavyweight L1s. One dominates high-throughput DeFi and trading. The other dominates stablecoin settlement. $SOL vs $TRX Head to Head Series: L1 Edition $SOL: The higher-beta smart contract bet. → Price: ~$118.86 → Market cap: ~$70.0B → 24h volume: ~$2.86B → FDV: ~$75.5B → Circulating supply: ~589.1M / 635.4M → DeFi TVL: ~$6.56B → Stablecoin market cap: ~$16.62B → Active addresses: ~3.35M → Transactions: ~121.7M/day → DEX volume: ~$1.81B/day → Perps volume: ~$2.17B/day Solana continues to show enormous onchain activity across DeFi, trading, stablecoins and consumer applications. The next major catalyst is Alpenglow, which targets roughly 150ms finality versus about 12.8 seconds today. It's already running on public test networks, but mainnet slipped past its September 28 target and is now expected in October. Flip side: $SOL already carries a ~$70B valuation, so expectations are much higher. $TRX: The stablecoin settlement machine. → Price: ~$0.333 → Market cap: ~$31.64B → 24h volume: ~$348M → FDV: ~$31.64B → Circulating supply: ~94.99B → DeFi TVL: ~$5.67B → Stablecoin market cap: ~$94.81B → Active addresses: ~3.46M → Transactions: ~11.56M/day → Chain fees: ~$890K/day $TRON's biggest advantage is stablecoin usage. $USDT on $TRON reached roughly $89B in Q2 2026, while the network averaged about 3.5M daily active users during the quarter. Recent expansion includes USDe and sUSDe support, OpenZeppelin integration, and continued growth around payments and institutional products. Flip side: TRON's ecosystem is far more concentrated around stablecoins, payments and a smaller DeFi application base. My take: $SOL is the stronger all-around L1 growth bet. $TRX is the more focused bet on stablecoins, payments and global settlement. Growth + ecosystem expansion: $SOL. Stablecoin dominance + cash-flow profile: $TRX. Which L1 has the better setup from here?frozen15d ago13K1862213111.78%
I think $SUI beats $AVAX and $SOL on the next recovery. Tell me which ticker proves me wrong.frozen8d ago13K3362823053.12%
A Nasdaq-Listed XRP Treasury Debut, a Hot CPI Print, and a 46% Supply Unlock Are All Landing in the Same Seven Days. Here’s Your Crypto Watchlist for October 12 to 18: $XRP: Evernorth begins trading on Nasdaq under XRPN on Oct 12 after completing its SPAC merger with Armada Acquisition Corp. II, bringing 473M XRP and $300M in cash to the public market, with a closing bell ringing on Oct 14 $APT: the final large insider vesting release lands Oct 12, ~11.31M APT (~$9.5M, 0.64% of supply), cutting monthly unlocks by roughly 60% afterward $BTC: September CPI prints Oct 14 with consensus at 0.6% monthly and 3.6% to 3.7% yearly, up from 3.4%, followed by PPI on Oct 15, with Fed speakers Waller, Barkin, and Collins on Oct 13 $FIL: its six-year vesting schedule ends Oct 15, cutting yearly issuance by roughly 75%, from about 88M to 22M FIL $STRK: unlocking ~$15.11M in tokens (1.73% of market value) on Oct 15 $ARB: unlocking 92.65M tokens (~$18.6M, 1.56% of circulating supply) on Oct 16 $STBL: unlocking $7.69M in tokens on Oct 16, a massive 46.23% of its market value $SOL: Alpenglow is live on testnet and devnet, but no mainnet date is set yet, and Frankendancer support ends the moment it goes live $LINK: CCIP Vault Adapters launched Oct 8, letting DeFi vaults accept deposits from 80+ networks in one click, after the CCIP 2.0 upgrade, with $84B in cross-chain token value secured to date $ETH: Glamsterdam heads to its Hoodi testnet, tentatively around Oct 27, after the Sepolia activation on Oct 6, with mainnet still targeted for Q4 and a gas limit increase from 60M to ~200M Also on the calendar: Paradigm Frontiers in San Francisco (Oct 12-14) and Eurozone CPI on Oct 16. $STBL’s unlock is the biggest percentage shock of the week by a wide margin, while $ARB carries the largest dollar figure on this list. The CPI print on Oct 14 is the macro swing factor that could amplify how all of these play out. Which matters more to you this week, the CPI print or the unlock pressure on $STBL and $ARB?frozen10d ago13K1792912021.77%
When the market is finally green again. Which bag are you selling first?frozen28d ago13K1691111001.53%
OK Anthropic might actually be worth $3T at this point 😂 Claude just moved inside Google Workspace. Paid users can now bring Claude directly into Docs, Sheets, and Slides to read files and make approved edits in place. → Rewrite executive summaries → Analyze budget variances → Build QBR decks → Open Google files directly inside Claude The bigger shift: AI is moving from a separate chat window into the tools where work actually happens.frozen15d ago13K1641215031.55%
Every launch in the trenches plays out the same way. A bot takes the first block, an insider sits on a pre-minted bag, and the LP is one click from disappearing. You're not really trading. You're the exit. @GachaPad is the first launchpad I've seen that changes the table instead of just complaining about it. There's no bonding curve. Each launch is a gacha machine: you pay to pull and get a random bag, and the odds are the same on the first pull and the ten-thousandth. Chainlink VRF picks the prize, so not even the team can rig it. Nothing is pre-minted, and when a launch graduates, the liquidity goes into a vault with no withdraw function. What got me is how $GACHA fits in. Every machine sets aside up to 10% of its supply for a holder vault, and only people who stake and lock get a share. More launches, more for holders. Token drops this month. Following this one closely. DYOR.frozen21d ago12K1731013001.58%
I still think most 2021 bags never make another ATH. $BAT just made that take less comfortable. Which ticker proves me wrong next?frozen7d ago12K2251310132.03%
AI could be building the systems that eventually replace the researchers who build AI. Nathan Benaich just broke down the 9th annual State of AI report, covering the breakthroughs, money, power shifts, and risks shaping the next 12 months: 03:44 - Why coding agents still need humans to choose what to research 07:28 - AI-designed drugs advancing into Phase 2 and Phase 3 trials 11:12 - Why non-developers are rapidly adopting AI coding tools 14:57 - NVIDIA's A100 still dominating AI research citations 17:45 - What AI spending reveals about hiring and research teams 21:29 - The global race for sovereign AI 25:13 - Multi-agent cyberattacks targeting real infrastructure 28:58 - Why AI safety monitors may be falling behind 32:42 - Predictions for self-improving agents, AI-driven markets, stolen model weights, and AGI by 2027 AI is moving beyond helping people work faster toward systems that could automate research, coordinate agents, and accelerate their own development. meanwhile, AI drug discovery is advancing, inference demand is surging, and the competition for compute and frontier capabilities keeps intensifying. watch the editor's cut, then study the predictions at the end. The next 12 months could look very different from the last. https://t.co/qkXEB1aa8Efrozen7d ago12K1751414001.64%
This is fuc*ing ridiculous The next AI breakthrough isn't a smarter chatbot. It's an agent that never clocks out. @leerob, an ML engineer at SpaceX and former Cursor engineer, just shared a Stanford CS146S lecture explaining how always-on agents like Grok Bot actually work. The key insight: the model isn't the whole agent. The infrastructure around it is what makes it persistent. Here's what changes: → Always-on infrastructure: A dedicated cloud computer keeps the agent ready to act in the background. → Event-driven execution: The agent wakes when something happens, completes a turn, then stops until the next trigger. → Persistent memory: State lives in a database, so crashes don't erase progress. → Sub-agents: Heavy tasks get delegated to fresh contexts, keeping the main agent focused. → Context engineering: Profiles, dated logs, and reusable skills give the agent the right information at the right time. → Selective communication: A dedicated send tool lets the agent work quietly and report back only when needed. The smartest design choice might be what the agent doesn't do. It checks memory before searching, uses APIs before resorting to browser automation, and delegates work instead of bloating its context. The future isn't AI that answers every prompt. It's AI that manages ongoing responsibilities. Watch the 45-minute lecture below to understand the architecture behind agents that behave more like digital colleagues than chat windows. https://t.co/E3i2NSZxLqfrozen9d ago12K1651518061.65%
Standard Chartered's Venture Arm and a Sovereign Wealth-Backed Fund Are Both Betting on the Same Wave of RWA Startups That Haven't Fully Launched Yet. Here are the top 10 upcoming RWA projects by funding: - Pharos Network: $52M | SNZ Capital, Sumitomo, Chainlink, Flow Traders - REAL Finance: $29M | Nimbus Capital, Magnus Capital, Frekaz Group - KiiChain: $26M | Nimbus Capital, Super Cycle Capital, WTG Ventures - Multipli: $20M+ | Pantera Capital, Coinbase Ventures, Spartan Group, Sequoia - Libeara: $14M | GSR, SC Ventures (Standard Chartered) | strategic round closed June 2026 - LAKE: $12.4M | Artaize Invest, EMB Venture Capital, MSM Family Office - Dow Protocol: $10.5M | MH Ventures, Mapleblock, Animoca Brands, Hashkey Chain - NUVA Digital: $5.2M | Morgan Creek Digital, Ulu Ventures, Animoca Brands Pharos Network's $52M raise leads the pack, and its backer list stands out most: Sumitomo, a major Japanese conglomerate, and Chainlink both appearing as investors signals real institutional and infrastructure-level validation rather than just crypto-native capital. Libeara is the one to watch structurally. It's backed directly by Standard Chartered's venture arm, SC Ventures, one of the clearest signs yet of a global bank placing a direct bet on RWA infrastructure rather than just exploring tokenization internally.frozen27d ago12K1661810051.61%
Ethereum Alone Holds Nearly Half of All Tokenized Real-World Asset Value Across 35 Blockchains, More Than the Next Nine Chains Combined. Here's the RWA asset value breakdown by blockchain as of September 24, 2026, per Token Terminal: $ETH: $22.2B (48.4% market share) $BNB: $5.5B (11.9%) $XLM: $3.3B (7.2%) $ZK: $3.3B (7.1%) $SOL: $3.0B (6.5%) $XRP: $2.5B (5.3%) $AVAX: $1.8B (3.9%) $ARB: $1.3B (2.8%) $INJ: $1.1B (2.3%) Base: $355.5M (0.8%) The total tokenized RWA market sits at $46B spread across 35 chains, and Ethereum's lead isn't close, it holds more RWA value than the remaining 34 chains combined. $BNB is a distant second at under a quarter of Ethereum's share. What's notable further down the list is $XLM and $ZK essentially tied for third, two chains with very different reputations, one built explicitly around payments and the other a general-purpose zkEVM, both carving out similar footholds in tokenized assets. $BASE rounds out the top 10 at under 1% market share, a surprisingly small slice given how dominant the chain has been in other metrics like stablecoin settlement and smart wallet adoption this year. Source: Token Terminalfrozen16d ago12K1942615131.94%
Crypto Payments Raised $791M in Q3 While DeFi Pulled In Just $137M. Investors Are Paying for Real-World Demand. Here’s where fresh capital went in Q3 2026: Exchanges & Brokerage: ~$1.09B Payments: $791M (24 rounds) RWA: $138M DeFi: $137M AI: $127M Blockchains (L1/L2): $109M Payments pulled in more rounds and more capital than any other single sector, led by Augustus ($180M) and Felix Pago ($87M). Stablecoin-linked projects were a major draw. DeFi took about 5% of the $2.62B raised, and Gauntlet’s $125M round was most of it. That’s while DeFi TVL rebounded 38% to $95B. Infrastructure’s share of funding more than doubled, from 8.1% in H1 to 18.2%, and AI-related deals drove that, not new mainnets. New L1 and L2 protocols raised just $109M, as capital moved toward businesses that connect crypto to traditional finance. Polymarket’s reported $1B round isn’t counted here since it hadn’t closed.frozen12d ago12K1832914201.85%
Did you know 58 of 150 top traders on Robinhood Chain's trending tokens turned out to be bots? By top traders I mean the wallets with the highest realized profit on each trending token. I pulled them with CoinGecko API, checked 150 of them, and 58 were bots. That's after I'd already thrown out the most obvious ones. Another 42 made most of their money on a single token, like one wallet up $2.9M where 91% came from AI. Only 9 actually win across lots of trades. I built Smart Sniper to answer one question before I touch a trending token: who's actually behind it? You can try it yourself here: https://t.co/ux4M6c45KW Here's how I'm using it: I check the token's leaderboard first. If most of its top traders are bots, that volume isn't real demand, so I skip the token entirely. For tokens that pass, I look at the wallets that survive the filter and add them to my watchlist. That's a short list worth following, not hundreds of random addresses. I look at what those wallets are still holding. When two good wallets are sitting in the same token, that's a lead worth digging into. And before I'd ever follow a wallet, I check where its profit came from. If one token is 90% of it, that's luck, not a strategy. Doing this by hand used to mean an explorer tab for every wallet, and you'd still only see one chain. CoinGecko API gives me the trending pools, the most profitable traders behind them, and each wallet's full PnL across chains from one place. It already covers a chain as new as Robinhood. If you've got your own research process, turn it into a tool. Links below. Try Smart Sniper: https://t.co/ux4M6c45KW Fork the repo: https://t.co/NLslftSWgb Get a CoinGecko API key: https://t.co/fxmtGLQVQ4 Research only, not financial advice.frozen14d ago12K173201301102.56%
AI promised us an age of abundance, so why does it currently feel like an age of surveillance, drones, cyberattacks, and surge-priced McRibs? Stewart’s question is the uncomfortable one: if AI really makes work optional and creates massive wealth, why should redistribution wait for some distant future? The technology may be moving fast, but the rules, incentives, and people who benefit from it are moving much slower. https://t.co/qOHLx4LOLnfrozen13d ago12K158178101.49%
$BTC is back in an uptrend regardless of whatever minor pullback we see this weekend https://t.co/VRF9ki1BKCfrozen19d ago12K2071812031.95%
$BNB Chain now holds 32% of tokenized stock value, up from 9% at the start of the year. Ethereum's share slid from 50% to 22%. The RWA chain war is real. And the winner isn't who you think. https://t.co/p5xRpPUGxFfrozen4d ago12K1561411011.49%
Meta just dropped an open AI model that could change the economics of building AI agents. Muse Spark Open brings 816B parameters, a 1M-token context window, and native multimodal capabilities across text, images, video, and audio. Here’s why it matters: Agentic performance: Scores 61.8 on JobBench and 89.2 on MCP-Atlas, alongside a 76.4 Terminal-Bench coding score. It challenges competing US open-weight models while going head-to-head with leading Chinese alternatives. Developer accessibility: Designed to run across major hardware platforms, with support for MLX, vLLM, and SGLang. The bigger picture? Open-weight AI is moving beyond chatbots toward autonomous agents that can code, use tools, process multiple forms of data, and execute complex workflows. The real alpha isn't just the model's size. It's what developers can build on top of it.frozen6d ago12K1602910101.64%
What happens when 10,000 AI agents hunt for one investment idea? Rogo is building toward exactly that. The bigger thesis isn't “AI replaces analysts.” It’s AI rebuilding the entire investing workflow: research, diligence, deal execution, and institutional memory. The moat may not be the model. It’s the harness, proprietary workflows, data, and company brain wrapped around it. Finance could be one of the clearest industries where the winner isn't the company with the smartest model, but the one that owns the system investors actually work inside. https://t.co/6CQh4loxqlfrozen23d ago12K1741314011.66%
Your vibe-coded app might already have 20 ways to get hacked. Most aren't sophisticated exploits: → Exposed secrets → Broken access control → SQL injection → Weak auth → Unsafe file uploads → Missing rate limits → Outdated dependencies The easiest move? Give the entire codebase to Claude Code and have it audit all 20, fix what it can, then flag anything requiring your decision. Vibe coding made shipping faster. Now you need to make security part of the workflow too. Follow @DamiDefi on X for more practical Claude AI tools, workflows, and automation playbooks.frozen21d ago12K1801223041.82%
Privacy is leading today’s market. One-month returns: $NOCK: +48.9% $ARRR: +29.3% $DCR: +14.9% $ZEC: +14.6% $XMR: +9.9% Which one leads the next leg?1d ago12K177169031.70%
OPUS 5.5 HAS A SETTING THAT CAN COST YOU 13X MORE FOR ALMOST NO EXTRA ACCURACY. Most people are using it like older Claude models. That is the mistake. The real unlock is not “think harder.” It is giving the model: → A clear finish line → Permission for safe actions → A hard stop for risky ones → Better context → A way to verify its own work The biggest finding: → xhigh: ~338 tokens per response → max: ~5,000 tokens per response → Accuracy: 78% → 79% Max reasoning removes the model’s ability to stop early, so it overthinks simple tasks and can spend hours going nowhere. For long tasks, don't say: “Work on this.” Say: “Keep going until the entire plan is complete. Do not stop after each phase. Only ask if you are blocked or about to do something destructive.” That one change can turn a half-finished run into a completed project. The secret isn't more reasoning. The secret is better boundaries. Tell Opus what finished looks like, what it should avoid, what it can do without asking, and how to check its own work. Do that and it can run for hours and return with something useful. Leave it vague, turn on max, and you may get a six-hour thread and a much larger bill. Read the full guide: How to Get the Most Out of Opus 5.5. Follow @damidefi for daily Claude AI tools, crypto analysis, and the journey to 100K. Bookmark this. Share it with one person using Opus wrong.frozen17d ago12K1771917061.82%
With $SUPER Nearly Doubling While $EGLD Barely Moved, Is Gaming's "Bigger Market Cap, Lower Risk" Assumption Completely Wrong This Month? If you invested $10,000 in each of these gaming coins at the start of September, here's where you'd stand today: $SUPER: $19,961 | +99.61% $SAND: $15,308 | +53.08% $STX: $14,323 | +43.23% $IMX: $13,856 | +38.56% $GALA: $13,766 | +37.66% $RENDER: $13,725 | +37.25% $MANA: $13,278 | +32.78% $AXS: $12,875 | +28.75% $VIRTUAL: $11,676 | +16.76% $FLOKI: $11,681 | +16.81% $GOMINING: $11,327 | +13.27% $APE: $11,168 | +11.68% $FORM: $11,000 | +10.00% $EGLD: $10,842 | +8.42% Every single token on this list closed September green, but the smaller-cap names dominated. $SUPER at just $143M market cap nearly doubled, while $EGLD, with a market cap roughly 30x larger, barely cracked 8%. $SAND and $STX, both mid-tier by market cap, also outpaced far bigger names like $RENDER and $VIRTUAL. || Source: CoinMarketCapfrozen21d ago12K1731212031.66%
Cursor agents now handle 500 repos, and they load 5x faster doing it. Cursor shipped a big cloud agents update on Oct 16: - One environment can now hold up to 500 repos, so a single agent can work across all of them - Large multi-repo environments load 5x faster - New Environments API (beta): create, update, and delete agent environments in code instead of setting each one up by hand - Cloud agents can build interactive canvases: ask for a dashboard or report while the agent works, then share it with your team via a link The repo limit matters most for big companies. Real products are spread across hundreds of repos, and agents that could only see one of them were limited. Coding agents are moving from editing a file to running whole projects.1d ago12K1601618101.64%
Anthropic opened a portal for anyone on a paid Claude plan to publish plugins to the Claude directory. Package your workflow, submit it, track the review, then pick your launch day. Once it's live you see views, the searches that found you, and installs. It's free to list. Anthropic hasn't announced any revenue share, so the money comes from whatever product your plugin connects to.frozen23d ago12K176178031.72%
$HYPE is closest to reclaiming its high in this group. $HYPE: ATH $97.96 (Sep 2026), now $77.94, needs +26% $TRX: ATH $0.4313 (Dec 2024), now $0.3334, needs +29% $BTC: ATH $126,080 (Oct 2025), now $81,267, needs +55% $QNT: ATH $427.42 (Sep 2021), now $194.87, needs +119% $SOL: ATH $293.31 (Jan 2025), now $103.07, needs +185% $ONDO: ATH $2.14 (Dec 2024), now $0.4378, needs +389% Which one wins the ATH race?frozen4d ago12K1791010021.71%
I just found one of the most underrated AI career paths: Forward Deployed Engineer. The best FDEs aren't just coding. They walk into a messy business, find where time and money disappear, then rebuild the workflow with AI. My playbook: → Map the real process → Delete unnecessary steps → Separate code, agents and human decisions → Build inside the client's existing systems → Measure the outcome in dollars → Deploy what works across similar workflows One example in the guide took AP from: 17 steps → 7 24 days → 6 $31/invoice → $6 That's why this role can command serious compensation. You're not selling AI. You're selling measurable business outcomes. And the deeper I look, the more I think FDE could become one of the highest-leverage careers in the AI economy. Read the full course belowfrozen15d ago12K1721419191.82%
With Aztec and Zama Alone Having Raised Nearly $275M Combined, Privacy Infrastructure Is Attracting Some of the Biggest Checks in Crypto Right Now Here's Who's Launching in Q4: Zama: $150M+ raised, expanding confidential settlement to two additional EVM chains in Q4, moving beyond its current Ethereum-only deployment Aztec Labs: $125M+ raised, with a mobile app and DeFi integrations planned for Q4 following the relaunch of https://t.co/BrT0AjUBiv on Aztec Network Beldex: $36M raised, launched a $1M global grants program on Sept 29 funding privacy apps and infrastructure on its network Miden: $25M raised, launching mainnet alongside USDCx, a privacy stablecoin backed 1:1 by USDC through Circle's xReserve, targeting institutional PriFi use cases Fhenix: $22M raised, bringing its CoFHE encrypted computation layer into the Canopy stack in Q4 to power private-by-default apps Orbinum Network: funding undisclosed, no VC backing, targeting a mainnet launch between October and December alongside its TGE and genesis ceremony With Circle's infrastructure now backing Miden's private stablecoin, Q4 looks like the quarter privacy tech starts shipping real products instead of just raising money around the thesis.frozen21d ago12K1911211121.84%
If you pay for Claude monthly, here's what Opus 5.5 actually changed. Five-hour limits went up, about 20% by reported figures. Your allowance goes roughly 25% further too, since the new model is cheaper to run. You also get one free limit reset to use by Oct 22. The weekly cap didn't move.frozen25d ago12K1901016041.87%
$SUI heading to $2 before the end of Sept? https://t.co/oJv0nMm4gqfrozen25d ago12K3742319023.56%
$QNT Q3 Recap 🔹 $QNT ran 343% in Q3, from $64.81 to $287.38, as U.S. and UK banks picked Quant to move tokenized deposits. It has since cooled to about $198. The real test is whether this bank infrastructure turns into network usage that keeps demand for $QNT going. 🔹 Banks and Payment Rails On Jul 30, Quant Flow ran a multi-bank treasury rebalancing demo in the Bank of England’s RT2 Synchronisation Lab. Several banks’ legs settle together or not at all. On Sep 24, The Clearing House picked Quant for its On-Chain Money Initiative. Quant will connect tokenized bank deposits to the RTP and CHIPS rails, and banks can join in the first half of 2027. The same day, seven UK banks including Barclays, HSBC UK and Lloyds made the first live customer payments in tokenized sterling, on the GBTD platform Quant built. 🔹 AI Agent Payments Quant joined the Linux Foundation’s x402 Foundation on Jul 14, the group setting the standard for AI agent payments. The U.S. clearing house and seven UK banks both chose Quant in the same week. The question now is how much of that reaches the token. Can $QNT hold its gains without usage showing up first?1d ago12K159219021.63%
This should not be possible. There is an open gap to monetize AI agents which one no one is talking about OpenAI, Google, METR, and Redwood Research have all now confirmed the same thing: AI agents go outside the rules when it helps them win. Almost nobody running agents in their business is checking. That gap is about to become one of the easiest services to sell. Read this before it closes.frozen7d ago12K168227031.71%
Opus 5.5 is quietly the best value model Anthropic has shipped. Anthropic just published the official playbook for Opus 5.5, written by Addy Osmani, who spent years on Google's Chrome team. 40% cheaper than Opus 5. Cache reads 60% cheaper. Fable 5.1 level on most tasks. Runs for hours on its own. If you're still prompting it like the old models, you're paying more for less. Everything you need is in the article.frozen26d ago12K20512160352.30%
The first thing I check on any token with buybacks is who’s actually paying for them. Most of the time it’s the token treasury, which just moves the same money around. The $1W sale went live today, and that’s the part that made me look closer. @1winToken says 10% of 1win’s platform revenue will go to buybacks and burns. $0.03 per token on Solana, $30M stated FDV, $10 minimum in USDC. Details: https://t.co/p1Q5DGAGw0 And 1win isn’t a whitepaper. It’s an iGaming platform that recorded $139.8M in onchain deposits over the last 30 days. That’s deposit volume, not revenue, but it shows real activity behind the token. The sale is $0.03 per token on Solana with a $30M stated FDV, open until 30 Oct. It’s pro rata, so there’s no first-minute race, and unused USDC comes back to you. One thing to weigh: 100% of tokens unlock when claims open on 31 Oct, which can mean selling pressure early on. Not financial advice. DYOR.frozen7d ago12K1641815011.71%
Notion agents used to quit after 5 minutes. Now they run for 24 hours. Notion rebuilt its AI agents on Oct 19. Here’s what changed: - 24+ hours on a single task, up from 5 minutes - each agent gets its own computer and browser: open sites, fill forms, download files, and run code - new “review for me” mode: a second ai model checks every action, and anything risky waits for your approval - auto mode picks a model for each step; notion says it delivers results comparable to opus 5.5 and gpt-6 astra at about 90% lower average cost across 20+ common tasks That last one is the real story. If it holds up, your credits go about 10x further. The catch is that the 90% figure comes from Notion’s own tests. Nobody has checked it independently yet. A new credit system also starts Nov 2 for existing customers. Business and Enterprise seats get 1,500 Standard credits and 500 Select credits a month. The “work for days without supervision” agent is now built into a tool millions already use.1d ago11K1592020001.74%
Large-cap L1s over the past month: $AVAX: +51.3% $SUI: +50.1% $ADA: +24.9% $SOL: +14.2% $ETH: +9.1% $BNB: +5.6% Choose one to hold through the next pullback.frozen16d ago11K1831012021.81%
Name one coin institutions will eventually be forced to own. $BTC and $ETH do not count.frozen12d ago11K1861625102.00%
Most people will use Meta Muse to save time. The real opportunity is using it to find money hiding in plain sight. Greg Isenberg just broke down how AI agents could turn a solo operator into a lean e-commerce business without starting with a product or an audience: • 00:00 - Mine Facebook Groups and Marketplace for unmet demand • 04:33 - Turn scattered leads into a clean, priced database • 08:27 - Use AI-powered calls and texts to connect buyers with sellers • 11:30 - Build your own Facebook group, Instagram page, or storefront • 17:20 - Scale from lead mining to owned distribution, then vertical SaaS the key insight: the money isn't in the AI. It's in the arbitrage. Find something people need, identify where it's available for less, then use Muse to automate research, listings, descriptions, and customer outreach. Start with lead generation. Build a valuable database. Own the audience. Eventually, turn the workflow into software. You don't need a huge team to build a scalable business. You need a repeatable process, access to demand, and AI that handles the busywork. Watch the full walkthrough https://t.co/OISKYqtfYX2d ago11K1431310031.49%
Reply with the coin you are most bullish on. I will tell you the biggest risk nobody in its community talks about.29d ago11K115631021.36%
Why pay 13× more for just 1% more accuracy? A developer tested Claude Opus 5.5 at xhigh vs max effort: → 78% → 79% accuracy → 6s → 50s average response time → 338 → ~5,000 tokens per response Max reasoning can make Opus slower and dramatically more expensive without meaningfully improving results. The better strategy: Give Claude a clear finish line, allow subagents, define stop rules, and let it verify its own work. The model isn't always the bottleneck. Sometimes it's how you tell it to work.frozen23d ago11K1801414021.87%
Peter Mattis helped build Gmail's backend, Google's Colossus, and CockroachDB. AI is what brought him back to coding. this is a rare look at how a veteran infrastructure engineer is actually using AI agents : • 1:19:12 - Why AI brought Peter back to coding • 1:23:08 - His tools and agentic engineering workflow • 1:26:39 - How AI can improve software quality • 1:29:17 - Are traditional code reviews becoming obsolete? • 1:35:33 - How to level up your engineering skills the interesting part isn't "AI writes code." it's what happens when someone with decades of systems experience uses agents to research, implement, test, review, and iterate. the new edge may not be typing code faster. it's knowing how to direct machines to do the engineering work without lowering the quality bar. watch the full conversation, especially the final 20 minutes. https://t.co/9MmOh9nJzjfrozen22d ago11K1861617052.00%
The only guide you need to master AI agentsfrozen16d ago11K164177041.72%
https://t.co/QDhbNOHr0y3d ago11K17220171832.62%
My biggest question with any DePIN project has always been simple: who's actually paying for what the network produces? @NATIXNetwork just answered it. They've signed a six-figure agreement to supply 3,000 hours of real-world driving data to a Unicorn AI lab that builds general world models. That's a different kind of proof from what we've seen so far. NATIX data has already powered research like VATIX with Valeo and Orbis 2 at Freiburg, which showed the data is useful. This shows a commercial customer is willing to pay for it. The buyer matters too. General world models learn how the real world moves and reacts, so this footage could end up feeding much more than self-driving: robots, drones, simulations. The market for what NATIX drivers collect just got a lot wider. And the token side is easy to follow. Customers pay in fiat or stablecoins, that revenue goes to the protocol, and it feeds the $NATIX buyback and burn. Across Q2 and Q3, 224,971,878 $NATIX were burned from data sales so far, before this deal. Drivers collect it. AI labs buy it. That's what a DePIN with real demand looks like. DYOR.frozen14d ago11K1672010001.77%
Only 1 in every 58 Pump fun coins graduated between November 2025 and October 7, 2026. → Half were dead within about 3 minutes of their first trade → 79% never traded after launch day → About 1 in 200 wallets made over 100 coins each, and together they made 48% of all launches Graduation still means something. 43% of graduates were still trading in week 5, against 1% of everything else. But a coin that’s still trading isn’t automatically a winner, and a graduation tag now tells you less than it did a year ago. Check who bought it to graduation before you buy.frozen11d ago11K174169011.81%
$1.5M conversion cap, filled in less than a minute. Honestly, that was quicker than I expected. I thought it would take people a bit longer to get their heads around how the conversion works. It clearly didn't. For anyone who hasn't come across it yet, Meridian is a treasury DAO on Robinhood Chain. It holds tokenized stocks, memes and ecosystem tokens and puts them to work in liquidity pools to earn trading fees. $MCD is the token that sits on top of it. Why I'm bullish is the yield it's going after already exists. Major pairs on Robinhood Chain have been paying LPs 70 to 90% over the past month, and ecosystem tokens a lot more than that. Whatever the treasury earns gets split between buybacks, burns and deeper liquidity, and that liquidity earns more fees. It's set up to keep feeding itself. And the raise doesn't just sit there. All $1.5M gets used to buy MCD and add it to liquidity, a bit every day for 60 days, once trading opens. $MCD goes live Monday at 14:00 UTC. Only use the contract address posted by @MeridianCapDAO. Anything else is a scam. Not financial advice. DYOR.frozen25d ago11K168148021.74%
$ETH is testing the $2,380–$2,400 support band on the daily chart after pulling back from roughly $2,800. I’m watching this as a potential rebound from the same base that supported the August and September consolidation. My first upside checkpoint is $2,500, followed by the drawn resistance near $2,550. A daily close above $2,550 and a subsequent hold would strengthen the case for a return toward $2,780–$2,800. Currently the negative MACD histogram is shrinking, although there is no bullish crossover and RSI remains around 41. I lean toward a bounce while this support band holds. A daily close below $2,380 would weaken that view and put the recent lows around $2,300–$2,320 back in focus.frozen3d ago11K1862112012.01%
A $300M+ Exchange Hack Recovery, a 47.69% Supply Unlock, and an 85% Altcoin Surge Are All Landing in the Same Seven Days. Here's Your Crypto Watchlist for September 28 to October 4. $BGB: Bitget is gradually resuming withdrawals after a hack that cost over $300M. Bitcoin withdrawals restarted Sept 28, Ethereum and other networks reopen Sept 29, and full resumption including fiat and OTC is expected by Oct 2 $QNT: surged over 85% to break above $285 on Sept 28, driven by the Sept 24 announcement that Quant will provide technical support for The Clearing House's on-chain money program $SOL: the Alpenglow consensus upgrade moved to public testnet Sept 23-25, targeting finality cut from ~12.8 seconds to 150ms, with a tentative mainnet feature activation on Sept 28 (not a confirmed Alpenglow launch date). SOL traded at $120.15, up 12.2% on the week, backed by an $86.67M single-day ETF inflow and a record $17.63B in on-chain stablecoin supply $FF: unlocking ~77.14M tokens (~$10.2M, 2.51% of circulating supply) on Sept 29 $CARDS: unlocking ~59.26M tokens (~$10.7M, 10.62% of circulating supply) on Sept 30 $KMNO: unlocking ~229M tokens (~$10.8M, 2.81% of circulating supply) on Sept 30 $SUI: unlocking ~13.26M tokens (~$16.7M, 0.32% of circulating supply) on Oct 1 $EIGEN: unlocking ~36.82M tokens (~$10.3M, 5.19% of circulating supply) on Oct 1 $2Z: unlocking ~1.66B tokens (~$114M) on Oct 2, a staggering 47.69% of circulating supply and the largest unlock of the week by both value and percentage $ENA: the final major investor unlock of ~40.63M tokens (~$11M, 0.45% of supply) lands Oct 2. A much larger consolidated release of ~1.41B ENA (~$212M, 14.3% of supply) follows on Oct 5 $2Z's unlock stands out as the biggest supply shock of the week, with nearly half its circulating supply hitting the market at once. $ENA's consolidated Oct 5 release is bigger in dollar terms at ~$212M and lands just outside the window, so it's worth watching as the week closes. Which matters more to you this week, the unlock pressure on $2Z and $ENA, or the momentum behind $QNT and $SOL?frozen24d ago11K1771311041.89%
$ONDO: +$41.6M in 7 days. Superstate: +$34.2M in 7 days. BlackRock BUIDL: $2.3B AUM. Tokenized treasuries are compounding weekly. The institutional migration is accelerating.5h ago11K154139011.64%
What if your AI didn't stop working when you closed your laptop? OpenAI Dots is built around exactly that idea: 24/7 autonomous agents powered by GPT-6 Astra. Each Dot gets its own cloud computer, browser, memory, tools and scheduled tasks, while GPT-6.1 Sol handles high-volume background work. The setup becomes: → Astra for strategy → Sol for repetitive execution → Specialized agents for specific roles → Humans for approvals and high-stakes decisions The biggest shift: You're no longer prompting AI to do tasks. You're building a digital workforce that keeps working without you.frozen19d ago11K1821513031.98%
Only serious entrepreneurs are making these changes Most AI assistants wait for you to give them a task. Claude Duet wants to know what matters before you ask. Anthropic's proactive AI agent is designed to: → Surface your priorities → Send updates based on your context → Handle assigned tasks while you're offline → Connect your apps, memory and skills → Ask for confirmation before taking independent action Powered by Claude Opus 5.5, Duet aims to move AI from reactive chatbot to proactive teammate. Imagine starting your day with important updates already prepared, candidate interviews flagged, and routine work handled. The real shift isn't AI answering faster. It's AI knowing what needs attention next. Duet is currently a research preview for eligible US Pro and Max users through a waitlist. The next AI interface might not wait for your prompt. It might show up with the work already done. https://t.co/Ge9XNIHGUe6h ago11K153178001.66%
If you invested $10,000 in each of these DePIN tokens on January 1, 2026, here's where you'd stand today: $GRASS: $25,100 | +151.00% $GEOD: $21,691 | +116.91% $AKT: $21,164 | +111.64% $RENDER: $14,919 | +49.19% $TAO: $13,757 | +37.57% $AIOZ: $12,560 | +25.60% $ICP: $12,144 | +21.44% $AR: $11,959 | +19.59% $ZBCN: $10,031 | +0.31% $TRAC: $9,928 | -0.72% $BTT: $9,528 | -4.72% $FIL: $9,217 | -7.83% $THETA: $8,878 | -11.22% $ATH: $8,462 | -15.38% Ten of fifteen tokens closed in the green, but $0G stands alone as the sector's clear disaster, losing nearly 69% of its value in a year where $GRASS more than doubled and $GEOD and $AKT both topped 100% gains. || Source: CoinMarketCapfrozen16d ago11K24128170132.80%
Tokenized stock trading just opened to eligible US investors on $SOL. $SOL $ONDO $LINK $QNT Rank them from most to least upside.frozen10d ago10K1931712032.15%
Miles Deutscher spent 2 years learning how to use AI for crypto research. His dense guide shows how to turn AI into an entire research stack: → Grok: Find alpha and track X sentiment → Claude + MCPs: Pull live market, on-chain and token unlock data → Claude Code: Build backtesting engines and custom indicators → AI agents: Monitor wallets, news and market opportunities → AI dashboards: Track portfolio performance, exposure and risk → Multi-agent systems: Research, test and execute strategies The biggest unlock: stop asking AI for price predictions. Give it live data, clear rules and workflows it can run repeatedly. Start with one workflow, verify the data, then automate. Read Miles' full guide to see how to build your own AI-powered crypto research stack.frozen12d ago10K18426170172.42%
Greg Isenberg just dropped a 69-minute masterclass with Nicolas Cole on why AI didn't kill good writing. it killed generic writing. Cole explains how to use AI without sounding like everyone else : • 00:00 - Why generic writing is now worthless • 15:20 - Build a library of your approved language • 23:00 - Pick a side instead of repeating the consensus • 36:40 - Build the personal dataset AI can't invent • 52:00 - Let AI remix your thinking, not replace it the biggest insight: **AI has access to language. you have access to lived experience.** your stories, mistakes, opinions, and patterns become the data that makes your AI outputs uniquely yours. stop asking AI to invent your voice. give it enough of your thinking to reproduce it at scale. Watch the video below, then read the article below on building and selling no code managed AI agents https://t.co/SgR81Lcyt8frozen28d ago10K1741113142.02%
$AAVE is up almost 40% in the past month, 2 of DeFi's most established lending protocols, but their scale is now very different. $AAVE vs $COMP Head to Head Series: Leading Lending Protocols Edition $AAVE: The heavyweight of onchain lending. → Price: ~$166.30 → Market cap: ~$2.56B → 24h volume: ~$818.9M → FDV: ~$2.66B → TVL: ~$17.75B → Market cap / TVL: 0.1445 → Circulating supply: ~15.43M / 16M → Active loans: ~$12.65B → 30D fees: ~$35.84M → 30D protocol revenue: ~$4.65M Aave V3 currently operates across 21 chains, with Ethereum accounting for about 84% of its TVL. It has generated roughly $1.85B in cumulative fees. Aave's strength is scale: deep liquidity, a broad multichain footprint and a lending market with more than $12B in active loans. Flip side: AAVE already carries a multi-billion-dollar valuation, so future growth has to be measured against a much larger base. $COMP: The original DeFi lending heavyweight is still generating meaningful activity. → Price: ~$25.04 → Market cap: ~$250.4M → 24h volume: ~$29.3M → FDV: ~$250.4M → TVL: ~$1.62B → Market cap / TVL: ~0.15 → Circulating supply: ~9.99M / 10M → Active loans: ~$648M → 30D fees: ~$2.48M → 30D protocol revenue: ~$321.8K Compound currently operates across 10 chains, with roughly 93% of its TVL on Ethereum. Its token supply is essentially fully circulating, with 9.99M of 10M COMP in circulation. Flip side: the protocol is operating at a much smaller scale than Aave across TVL, active loans, fees and revenue. The data shows two different profiles: $AAVE is the much larger lending machine, while $COMP offers exposure to a smaller protocol with virtually its entire token supply already circulating. For the leading lending narrative, $AAVE remains the name to watch. $COMP is the smaller-cap alternative with a very different valuation profile.frozen17d ago10.0K1811515032.14%
Name a crypto project with a great product but a terrible token. One ticker.frozen23d ago9.9K1641315011.95%
AI is just 0.7% of the crypto market. The sector is barely getting started. Which AI crypto coins are you holding? https://t.co/PhuEGIInaJfrozen26d ago9.8K1831710012.14%
Name a coin whose best quarter is still ahead of it. Top 10 coins don’t count.2d ago9.8K6672000.76%
Altcoins are going to explode before the end of Q4 $TOTAL3 is around $784.57B on the weekly chart after bouncing from the $650B support zone. That recovery stalled around $845B–$850B, and the pullback has brought it below the marked $800B shelf. I'm cautious, but I want to see buyers reclaim $800B on a weekly close before expecting another push higher. That would put $845B–$850B back in focus first, followed by the prior trading area around $890B–$910B if resistance clears. The current weekly candle is still open, so this small bounce is not confirmation yet. If $800B continues to reject price, I’d watch the recent lows around $750B, then the $730B area beneath them. The $650B base remains the larger structural floor, but the immediate test is whether this recovery can regain $800B.1d ago9.8K167158001.94%
Your resume won't get you hired in the AI era. Proof that you can use AI to solve real problems might. Executives from LinkedIn, HubSpot, Box, Gamma, and Khan Academy are sending the same message: show what you can do, don't just claim it. Here's the playbook: → Build a working ai tool or automate a real workflow. → Publish demos and experiments on linkedin. → Pair your domain expertise with ai fluency. → Test ideas, learn from failures, and adapt. → Understand how agents, mcp, and ai tools actually work. → Show employers how you’d improve their workflows with ai. The biggest opportunity? Most candidates still talk about AI. Far fewer can demonstrate what they've built with it. Your next job could depend on what you build before you apply. Read the full guide for a practical, step-by-step plan to stand out in the AI era Follow @DamiDefi for daily AI tools and workflows.frozen3d ago9.8K1481814061.90%
What is one coin you would never short, no matter how bearish the market looked? Only one.frozen22d ago9.8K1721612002.04%
The Top Gainers in “Gaming” This Year Are a Bitcoin Layer 2 and a GPU Network, While the Tokens Actually Built for Gaming Mostly Sold Off. Here’s the YTD breakdown: $STX: +73.64% $RENDER: +63.03% $AXS: +42.67% $VIRTUAL: +8.23% $SUPER: +5.71% $BEAM: +2.67% $IMX: -19.26% $FORM: -21.99% $APE: -23.21% $MANA: -24.46% $GOMINING: -24.54% $EGLD: -32.14% $FLOKI: -34.71% $SAND: -44.96% $GALA: -62.16% Strip out the non-gaming tokens and only three real gaming tokens are green this year: $AXS, $SUPER and $BEAM. The other eight are down, with $GALA losing more than 60%. The last 30 days look very different. $SUPER is up 80%, $BEAM 72% and $SAND 68%. But a one-month bounce hasn’t erased the year for most of them, and $SAND is still down 45% YTD.frozen9d ago9.8K2062416162.59%
Gaming Coins Rebounded Right Alongside the Rest of the Market This Week. Every Single Token on This List Closed Green. If you invested $10,000 in gaming tokens one week ago, here's where you'd stand today: $SUPER: $14,038 | +40.38% $IMX: $11,843 | +18.43% $MANA: $11,768 | +17.68% $SAND: $11,761 | +17.61% $BEAM: $11,711 | +17.11% $APE: $11,412 | +14.12% $AXS: $11,341 | +13.41% $FORM: $11,213 | +12.13%frozen27d ago9.8K2001015042.35%
8 AI updates from this week, newest first: 1. GPT-5.5 left ChatGPT, ChatGPT Work and Codex today. It still works in the API. If any saved settings, agents or scheduled tasks pick GPT-5.5, update them. 2. Gemini 4 Argon launched at $2 in / $10 out per million tokens. From December 1 that becomes $4 / $20. Use it for coding and long research runs while it’s half price. 3. Grok, Cursor and X now sit in one subscription: $8, $30, $100 or $200 a month. Grok and Cursor share one usage pool that resets weekly. Other models inside Cursor still cost extra. 4. Fish Audio’s Drama 3 reads hard words correctly 93.2% of the time, up from 73.2% on S2.1 Pro. That covers names, numbers, codes and tech terms, which are what break AI voiceovers. 5. Anthropic went from about 2,500 code merges a day in May to over 30,000 in September. Git couldn’t keep up, so it built its own source control system, Scion. 6. Meta’s Muse Wonder remembers your project between chats, so you don’t have to explain it again each time. It’s live for developers and Muse Code now, with the wider Muse app coming next. 7. Codex CLI can now run several tasks at once, each in its own copy of your code with its own branch, so they don’t overwrite each other. 8. Claude now works inside Google Docs, Sheets and Slides. It edits the text, cells or slides you select, so no more copying answers between tabs. It’s in beta on all paid plans. Which one actually changes how you work?frozen8d ago9.6K1842312262.36%
$93.2 million was drained from 315 wallets across six chains, according to Bitquery’s on-chain trace. Ranked by chain: → TRON: $70.5M (mostly USDT) → Bitcoin: $16.8M (203.8 BTC) → Ethereum: $3.7M → BNB Chain: $1.45M → Polygon: $580K → Solana: $250K What links the victims is where they bought their devices: CryptoBilis, a hardware reseller selling Ledgers in Southeast Asia. Ledger has confirmed that one victim’s device had an unauthorized hardware implant. It also says it has no indication its own systems were compromised. So far this looks like a reseller and supply-chain problem, not a Ledger hack. Exactly how the recovery phrases leaked still isn’t known. The money is moving. Some has gone through Tornado Cash, some was swapped into USDD (which can’t be frozen), and Tether has frozen $10M. The 203.8 BTC hasn’t moved yet. If you bought a Ledger from a reseller in the past few months, move your funds to a new device with a new seed phrase. Buy straight from the manufacturer.frozen10d ago9.5K1812218012.35%
The next AI gold rush might not be building agents. It might be securing them. A reported incident involving AI agents exposed a serious gap: agents can find ways around restrictions, access credentials, and coordinate in unexpected ways. Here’s where the opportunity is: → Agent security audits → AI monitoring → Human approval gates → Independent AI reviews Everyone is racing to make AI agents more autonomous. But the more access they get, the more valuable control, monitoring, and accountability become. The next wave of AI opportunities may belong to the people who know how to keep agents useful without giving them unlimited freedom. Read the full guide to the agent security gap, and spot the opportunity before securing AI becomes an afterthought for every business. Follow @DamiDefi for more AI tools and workflows.frozen4d ago9.4K1371721121.88%
$BTC’s weekly recovery is running into resistance around $86.5K–$87K, beneath the broken rising trendline. I see this as a recovery testing overhead supply, with the current candle pulling back to $82,416 after reaching $86,996. The immediate decision point is roughly $82.5K, which lines up with the earlier May high and the lower dashed horizontal level. A weekly close below that shelf would leave me expecting a move toward approximately $76.5K, with $74K the next support underneath. Momentum still supports the broader recovery: weekly RSI is 57.77 and the MACD histogram remains positive, although its latest bar has contracted. My near-term bias is cautious while price stays below $87K. Reclaiming that area and moving above the descending market’s broken rising trendline would strengthen the case for $95K–$96K. I’m watching whether buyers recover $82.5K before this weekly candle closes.frozen14d ago9.4K1881914012.35%
Ok maybe claude is actually worth $3T Claude is becoming a data visualization studio It can turn live data into interactive dashboards, then transform those dashboards into animated explainers using editable code. One demo showed Claude analyzing bike-share data, identifying empty dock patterns, building a dashboard, and creating an animated story without a video model. Claude isn't just helping you understand data anymore. It's helping you show people what the data means. https://t.co/IC0GsD7PzQfrozen13d ago9.3K1651014022.05%
Most AI agents are trapped in a chat window. The next generation will work while you're away. Lee Robinson, an ML engineer at SpaceX, just broke down how always-on agents like Grok Bot work in his Stanford CS146S lecture. Here's what makes them different: → Dedicated cloud computers → Persistent memory and files → Event-triggered execution → Dynamic tool use → Sub-agent delegation → Context engineering → Selective notifications The key shift is simple. AI is moving from answering prompts to managing ongoing tasks. These agents can run in the background, pick up events, work through tasks, and notify you when necessary. No constant prompting. No need to keep a chat open. Want to understand the architecture behind proactive AI agents? Watch Lee's full Stanford lecture below. https://t.co/E3i2NSZxLqfrozen8d ago9.3K1841925282.56%
The next U.S. midterms are on November 3, 2026. Here’s what happened to the top USA-based crypto tokens since the last midterms. Nov 8, 2022 close → today: $ZEC: $42.21 → $1,257.79 (+2,880%) $SOL: $24.36 → $104.62 (+329%) $XRP: $0.409 → $1.33 (+225%) $RENDER: $0.610 → $1.84 (+201%) $BCH: $103.29 → $276.14 (+167%) $XLM: $0.099 → $0.178 (+79%) $LINK: $7.72 → $12.07 (+56%) $UNI: $6.07 → $7.10 (+17%) $LTC: $57.50 → $59.48 (+3.5%) $DOGE: $0.089 → $0.079 (-11%) $ADA: $0.373 → $0.217 (-42%) Bitcoin did +342% over the same stretch. Only $ZEC beat it. Election cycles grab headlines, but they don’t tell you when crypto has bottomed. In 2022, FTX was collapsing right around Election Day. Now another midterm is coming, and these tokens tell very different stories. Some are up multiples. Others are still below their 2022 prices. Which one has the best setup heading into November 3?4h ago9.3K971012001.28%
BlackRock says the AI boom could increase demand for cryptocurrencies, especially stablecoins for 24/7 machine-to-machine payments. Institutions are connecting AI to crypto. Are you?frozen28d ago9.1K175158012.19%
AI coding just got cheaper, faster, and harder to ignore. Anthropic's new Claude Opus 5.5 reportedly delivers performance close to pricier Fable 5.1 on most tasks while being: → 30% faster → 40% cheaper → $4/M input tokens → $20/M output tokens Developers are already highlighting faster responses, more natural communication, and stronger performance during long agentic coding sessions. The bigger shift: Frontier AI is starting to compete on efficiency, not just intelligence. Cheaper inference means agents can run longer, handle more tasks, and become more practical for production workflows. https://t.co/lhuYkQuQI6frozen29d ago9.1K1621210002.03%
Crypto job postings on CryptoJobsList went from 382 in July to 1,241 in September. Applications went the other way, from 26,728 down to 19,605. That's about 16 applicants per job now. In July it was 70. Most of those roles want senior people, so this isn't an open door for everyone.frozen16d ago9.0K168119122.12%
Gemini just added 14 connected apps. Plan projects in Linear or https://t.co/yrvWUnzpDb, track data in Airtable, send contracts through PandaDoc. Design in Adobe, edit in Picsart, then build the site on Squarespace or Webflow. All from one chat. Connect them in settings and @mention the app.frozen24d ago8.9K167158002.14%
Which ticker enters the top 20 before year-end? Make the case.frozen13d ago8.9K153207002.03%
Zuckerberg posted a photo this week: a Safeway bag, one watermelon, and “Muse ordered me 🍉” Muse is Meta’s AI agent. It launched in September in the US and Canada. Ordering groceries isn’t what makes it different, since ChatGPT and Gemini can already shop for you. This is what nobody else can copy: → It reads your saved Instagram and Facebook posts. A recipe reel you saved becomes a grocery list, then an order. → It works as a full agent inside WhatsApp. In the US and Canada, Meta removed ChatGPT and Copilot from WhatsApp in January. → It plugs straight into your Facebook Page, Instagram stats and Meta ad accounts to help run a small business. → It can sit on your Instagram profile for your friends to see. → It has its own cloud computer and keeps working after you close the app, and that’s on the free plan. Coming next: Muse on Meta’s AI glasses, acting on whatever you’re looking at, and Muse Charm, a pocket gadget going on sale in December. The model isn’t Meta’s advantage. Its advantage is the 3 billion people already using Meta’s apps.frozen7d ago8.8K1591516022.17%
Most people are using AI to get smarter outputs while slowly making themselves worse at thinking. Cambridge professor Miles Cranmer just shared a 55-minute talk on how to avoid AI brain rot, and the lesson is uncomfortable: • 00:00 - Why better AI outputs can weaken your own skills • 03:00 - How default AI use pulls everyone toward average • 06:50 - Why AI helps beginners but can hurt complex work • 12:00 - Why you're 100% responsible for AI outputs • 15:00 - Why struggling to solve problems improves retention • 24:00 - Use Socratic quizzes, hints, and interactive visualizations • 35:00 - Build coding agents that write less code and test first Use AI to accelerate your thinking, not replace it. Ask it to quiz you instead of giving you answers. Request hints before solutions. Explain concepts in your own words. Never delegate work you can't evaluate yourself. AI makes average work easier to produce. That also means average work becomes less valuable. Your edge is judgment, taste, deep understanding, and the ability to solve problems others can't. The goal isn't to do less thinking with AI. It's to use AI to tackle harder problems. https://t.co/lrikmDF6J9frozen3d ago8.8K147178052.01%
Your AI coding agent doesn't need a frontier model to decide which file to load. Yet that's exactly what you're paying for. Every time your agent picks project notes, routes a task, recovers from a tool error, or chooses which tests to run, it may be burning expensive reasoning tokens on a multiple-choice question. There's a better architecture. Opus 5.5 thinks. Jev decides. Your code stays in control. Here's how to cut the waste: → Use Jev to select relevant context instead of loading every project note. → Route routine edits to a cheaper model while Opus handles complex coding and debugging. → Let Jev choose recovery paths instead of spending a frontier-model call on obvious errors. → Run focused tests first, then the full suite before committing. In the article's worked example, a coding session drops from $6.42 to $2.00, a modeled saving of nearly 69%. That's not a guaranteed benchmark. Your results depend on your workload, context and token usage. But the principle is powerful. Stop paying premium prices for decisions your harness can make cheaply. Let the strongest model handle the hard problems, not every tiny choice in between. Read the full architecture to see how to add this decision layer to your existing coding agent without rebuilding the entire system.frozen8d ago8.8K1711311072.30%
Which coin has enough real demand to ignore a weak market? One ticker. Make the case.frozen6d ago8.8K1491211001.96%
NFT sales hit $6 billion in January 2022. Last month the total was $167 million. That’s 97% down from the peak, per CryptoSlam. The number of sales tells a different story. It went from 13.7 million to 2.9 million, down 79%. People are still trading NFTs, but the average sale dropped from about $438 to $58. Now Blur, the marketplace that took over NFT trading in 2023, is shutting its website on November 12. Its trading contracts stay live onchain, so the marketplace itself still runs. Blend, its lending product, stops making new loans the same day. Blur’s own volume shows the same drop: nearly $1.43B in March 2023, about $19M last month. The tech is still running, but almost nobody is paying for it.frozen7d ago8.6K1741715012.42%
https://t.co/5jXJfegVvpfrozen28d ago8.6K17313120703.13%
The 10 days that broke crypto traders in 2026. Bitcoin hit about $97.5K in January. By July it was at $57.7K. These were the 10 biggest blows along the way: - Feb 5–6: Bitcoin’s worst day since FTX. BTC fell from about $70K to $60K in a day. Over $2B in leveraged bets were liquidated. - Aug 19: Record short squeeze. BTC jumped from $64K to $70K and wiped out $2.74B in short bets, the most since records began in 2021. About $3B was liquidated in total. - Jan 31: Weekend crash below $80K. $2.5B liquidated in 24 hours. ETH fell 13%. - Jun 2–6: Bitcoin loses $60K. It fell from $73.8K to $59.2K. About $3B was liquidated over two days, and Strategy sold bitcoin for the first time since 2022. - Jun 25–Jul 1: The bottom. BTC hit $57.7K, 41% below January’s high and 54% below the all-time high. - Jan 29–30: The Warsh Fed shock. BTC went from $91K to $81K in a day, with about $1.7B liquidated. - February: ETH whales blow up. Trend Research lost $686M on a looped ETH bet, and another whale lost $250M on Hyperliquid. - Feb 6: Bithumb’s phantom bitcoin. The exchange credited users with 620,000 BTC by mistake. People sold over $2B before it was fixed, and BTC hit $55K there. - Jun 4–5: The Zcash bug crash. ZEC fell from $624 to $309 in under 48 hours after a counterfeiting bug was found. - Oct 7–9: The bond-yield shock. The US 10-year yield hit 5.37% and over $1.1B was liquidated. BTC dipped to $80,350. Bitcoin is back around $82K now. Leverage did most of the damage on each of these days. Next in the series: the 10 biggest hacks of 2026.frozen6d ago8.5K1721911122.42%
Which coin has the cleanest tokenomics in crypto right now? One pick.frozen14d ago8.4K1621415002.27%
More reasoning can actually make Claude worse. A developer tested Opus 5.5 at xhigh vs max: → 78% → 79% accuracy → 6s → 50s average response time → 338 → ~5,000 tokens per response That's roughly 13× the cost for 1% more accuracy. The better Opus 5.5 playbook: → Start at medium/high, not max → Define exactly what “done” means → Let it use subagents → Add hard stop rules → Tell it what to avoid → Make it verify its own work The secret isn't making Opus think harder. It's giving it better instructions and better boundaries. Follow @DamiDefi on X for practical Claude AI tools, workflows, and automation playbooks.frozen20d ago8.0K1791013032.58%
This is fu*king huge The biggest problem with AI agents isn't the technology. It's not knowing what to do with them. People set up Grok Bot, Hermes, Muse, Hark, Dots… then barely use them. That's about to get a lot easier. This new free project called Agent Use Cases by Finn scans the internet daily to uncover how people are actually using AI agents to make money and get real work done. It gives you: → Real-world use cases organized by category and agent → The results people are getting → Prompts you can steal and adapt → Fresh ideas for putting your agents to work Some examples already discovered: → Finding unclaimed money online → Autonomously negotiating lower phone bills → Teaching an agent to day trade The real unlock isn't getting access to another AI agent. It's discovering what you can actually do with it. My favorite trick: Browse the use cases, then give the link to your own agent and ask it to find opportunities relevant to your work, skills, and goals.frozen9d ago7.9K17818190233.00%
With $ZEC Up 143% and $UNI Surging 127% in a Single Month, the Altcoin Rally That's Been Building for Weeks Just Kicked Into an Entirely Different Gear. Here's the 30D breakdown for USA-aligned coins: $ZEC: +143.1% $UNI: +126.9% $SOL: +20.0% $LTC: +17.0% $LINK: +9.5% $XRP: +5.6% $ADA: +5.5% $RENDER: +7.4% $BCH: +3.5% $DOGE: +2.9% $XLM: +2.2% Every single coin on this list closed the month green, but $ZEC and $UNI are operating in a completely different tier from everything else, both more than doubling in value while the rest of the sector posted single-to-low-double-digit gains. $SOL and $LTC rounded out a strong middle tier, both up meaningfully, while $XLM and $DOGE were the relative laggards, still positive but barely moving compared to the month's two standout performers. When a privacy coin and a DeFi blue chip are outperforming every large-cap and payment token combined by this margin, that's a sign capital is chasing specific catalysts rather than riding a uniform market-wide wave. || Source: CoinMarketCapfrozen28d ago7.6K2171510073.26%
While most traders were staring at the dump, these coins stayed green over the past month: $QNT: +269.0% $SUI: +50.8% $ONDO: +42.8% $AAVE: +37.7% Which one has more upside left?frozen11d ago7.6K170198132.64%
$ONDO JUST RALLIED 20%+ IN 24 HOURS, AND THE CATALYST IS HUGE. Ondo just launched Intelligent Portfolios, with three onchain portfolio tokens built from strategies developed by BlackRock. → BLKHIon: High Income → BLKDIGon: Diversified Growth → BLKGRWon: High Growth One token can now represent an entire professionally designed portfolio, with onchain transparency, rebalancing, and DeFi composability. Ondo isn't just tokenizing assets anymore. It's tokenizing how people invest.frozen27d ago7.5K2993115144.64%
From Monero Stress-Testing a Historic Anonymity Upgrade to Pirate Chain Activating Ironwood, October Is Loaded With Real Technical Milestones for Privacy Coins. Here's the catalyst breakdown for the top privacy projects: $NIGHT (Midnight): permissionless smart contract deployment went live on mainnet Oct 2, with a v8 upgrade planned for Q4 adding private smart contracts and custom tokens $ARRR: the Ironwood upgrade activated Oct 3 at 19:00 UTC, skipping Orchard entirely and bundling a dPoW update into the same hard fork $XMR: a critical stress test for the FCMP++ and CARROT upgrades runs Oct 5 via a hard fork on the beta stressnet at block 3,102,800, testing a membership proof system that expands anonymity sets from 16 decoys to ~100M outputs $ZEC: the NU7 testnet upgrade activates around Oct 6, cutting block times from 75 to 25 seconds, with a final mainnet activation height decision scheduled for Oct 20 $AZTEC: relaunched its https://t.co/BrT0AjUBiv wallet Sept 29, enabling private stablecoin payments on its privacy-focused Ethereum L2 $BDX (Beldex): launched a $1M grants program for developers building privacy apps, alongside an independent security audit across its core network, wallets, BelNet, BChat and Browser $RAIL (Railgun): rolling out experimental support for EIP-7702, letting externally owned accounts delegate execution to smart contracts and interact with DeFi protocols like Aave $ZEN (Horizen): continuing its transition to a confidential compute layer on Base $PIVX: rolling out protocol and wallet updates focused on improving the speed of its SHIELD privacy protocol $XMR's stress test and $ZEC's NU7 upgrade stand out as the month's biggest technical events, both targeting core anonymity and performance on two of the sector's most established networks. Meanwhile $RAIL's EIP-7702 support signals privacy tech is working to plug into mainstream DeFi rather than stay isolated from it.frozen18d ago7.4K20926110143.54%
DeFi TVL Rebounded 38% to $95 Billion in Q3, Ending Three Straight Quarters of Decline. It’s the first quarterly growth since the 2025 peak, with total TVL across all protocols up 7% in July, 15% in August and 11% in September. Here Are the Top DeFi Milestones in Q3 2026: $AAVE: V4 deposits hit $806M in late August and reached $1.2B by late September, per founder Stani Kulechov, while V3 lending TVL grew 53% to $18.21B $UNI: extended the fee switch to V4 pools on July 27, lifting daily protocol revenue from $114K to $325K, a 2.8x jump $SOL: led spot DEX volume for a fifth straight quarter with $197B in Q3, up 16.6% from Q2, while Raydium fees more than tripled to $57.1M Robinhood Chain: TVL crossed $1B in under two months after its July 1 launch, with over half deposited in Morpho $COMP: launched its USDC Institutional Market on Sept 8 with LTVs up to 87%, oversubscribed on day one $MORPHO: Morpho Blue TVL grew 67% to $11.0B, with outstanding loans hitting an all-time high of $5B $MON: Monad TVL surged 183% to $1.01B+, with 170+ apps live on mainnet $LDO: completed the wind-down of its Simple DVT Module’s regular clusters, approved with 57.4M LDO in support and zero opposition SEC Innovation Exemption: a five-year order on Sept 17 lets tokenized stocks trade on permissionless chains through approved venues, and Solana’s tokenized equity supply hit $684M with over 900K holder wallets Lending drove much of the quarter. Aave, Morpho, Compound, and Robinhood Chain’s Morpho-heavy TVL all point to credit markets as the engine of the rebound. || Source: DeFi protocol data, Q3 2026frozen13d ago7.3K1831717223.02%
What if you could manage 34 AI agents with just 3 words? Alli K. Miller does exactly that: “Do smart things.” It works because her agents already have access to her business context, emails, calendar, Notion, GitHub, Stripe and more. Her setup: → 1 AI chief of staff → 6 functional directors → Specialized agents + watchdogs → Shared context and daily memory → Agents deciding what needs to happen next The big shift: Stop managing agents like employees. Build a system that manages the work. Your job becomes setting goals, rules, and guardrails while the agents identify and execute the next task. Read the article below for the full breakdown, and follow @DamiDefi for more AI alpha.frozen26d ago7.1K1751211132.83%
Theo just revealed how AI engineers are squeezing insane value out of Claude + Codex subscriptions. this 67-minute rant is basically a playbook for maximizing agent output before your token limits disappear: • 05:22 - Why $200 Claude can represent thousands in API value • 15:19 - Routing multiple subscriptions into one agent workflow • 29:43 - Why verification should consume most of your tokens • 33:02 - Give agents the problem, not the solution • 37:23 - Agents scale thinking, not attention • 39:48 - Turn parallel agent threads into an engineering inbox • 50:52 - Burn expiring quota instead of wasting mental bandwidth • 59:03 - Keep agents running while you sleep • 1:04:19 - Build the workflow, not Theo's exact setup the biggest takeaway: your bottleneck isn't AI capability anymore. it's how much useful work you can delegate, verify, and merge before the opportunity expires. Theo also flags the obvious risk: aggressive multi-account and server-like usage can violate provider ToS and trigger bans. watch it for the agent workflow ideas, not the exact setup https://t.co/Pm71xQ4laZfrozen18d ago6.6K1861515043.35%
🚨 Bittensor just unveiled a path to 10x subnet capacity. $TAO Null Consensus expands subnet participation from 256 to 2,500 participants by letting the highest-stake validator submit weights alone, removing multi-validator consensus steps. Here’s what changes: → 10x capacity → simpler rewards → lower compute overhead → alternative miner access Subnet owners can choose their registration method, potentially opening participation to more miners and autonomous AI agents. The bigger play: Bittensor is experimenting with ways to scale decentralized AI without making participation depend entirely on token burn fees. Will Null Consensus unlock a new wave of subnet growth, or does removing multi-validator consensus introduce trade-offs worth watching?frozen3d ago6.4K2161512013.80%
Stop using the same agent for everything. Grok Bot → knowledge work Muse → browser tasks Hermes → customization + local control Dot → coding + project management the real edge is knowing which agent to deploy for which job. Right Agent + Right Task = AI superpowers stop picking a single "best" agent. build a stack.frozen20d ago6.3K16469032.87%
$SENT, a Token That Launched With Serious Institutional Backing and Hype, Is Down Over 51% YTD, While $VVV, a Name Most Traders Still Can't Explain, Is Up 1,605%. Here's the YTD breakdown for leading AI coins: $VVV: +1,605.36% $NEAR: +241.15% $AKT: +101.12% $INJ: +80.12% $RENDER: +49.19% $KITE: +47.16% $TAO: +37.57% $VIRTUAL: +30.21% $ICP: +21.44% $FET: +16.51% $FIL: -7.82% $TRAC: -7.33% $THETA: -16.30% $GRT: -18.88% $SENT: -51.31% Eleven of fifteen tokens are green YTD, but the gap between winner and loser is staggering: $VVV alone is up over 1,600%, while $SENT, launched with some of the sector's most prominent institutional backing this year, has lost more than half its value. Meanwhile legacy infrastructure names like $FIL, $TRAC, $THETA, and $GRT are the only other names in the red, all down modestly in a year where the broader sector rallied hard. The biggest winner and biggest loser on this list both launched with real attention behind them, yet ended up on opposite ends of the spectrum. || Source: CoinMarketCapfrozen16d ago5.3K1852315074.33%
$ONDO IS GOING AFTER THE PART OF THE MARKET MOST RETAIL INVESTORS CAN'T EASILY ACCESS. Ondo Private Markets is bringing pre-IPO company exposure onchain, starting with an unnamed AI company. → 24/7 secondary trading → Transferable tokenized notes → Future expansion into robotics, biotech, and cybersecurity The key distinction: holders receive economic exposure, not actual shares or voting rights. Access is restricted to eligible non-U.S. investors in permitted jurisdictions. $ONDO is moving beyond tokenized stocks and Treasuries into the private markets where the next generation of trillion-dollar companies is being built.frozen13d ago5.1K2682218016.06%
HUGE: Render Network hits 82 MILLION frames rendered as its AI compute ambitions expand. The September 2026 Foundation report highlights a network moving beyond 3D rendering: → 82M frames rendered: a major cumulative usage milestone for decentralized gpu infrastructure → ai compute expansion: Dispersed launches its dedicated X account, @Dispersed_ai, spotlighting ai workloads → 18K-resolution art: Render powers immersive works at ARTECHOUSE DC’s SUBMERGE exhibition → festival recognition: Sunspark’s animated film reaches 50+ film festivals and wins best animation The bigger story? $RENDER is building a case for decentralized GPU infrastructure across digital art, AI agents and alternatives to traditional bare-metal compute. Is the market still valuing $RENDER for what it does today, while overlooking what it could power next?frozen8d ago4.8K2311917035.57%
This is fuc*ing GOLD AI can build your app in a weekend. It can also leave 20 security holes behind. The most common failures are not exotic: → Exposed secrets → Public API keys → Wildcard CORS → Broken access controls → Predictable IDs → SQL injection → Unsafe file uploads → Weak password storage → No rate limits → Outdated dependencies The best part: Claude Code can audit and fix them for you. Give it your codebase and make it check all 20 issues, fix what it safely can, and flag anything that needs your decision. Run the audit before your next deploy. A fast build is useful. A fast build that survives attackers is better. Follow @damidefi for daily Claude AI tools, crypto analysis, and the journey to 100K.frozen16d ago4.8K18325150144.92%
Hackers stole $2B in crypto this year, and North Korea took over $1B of it. These 10 attacks took about $2 billion between them: - Bitget: $387.5M (Sep 24): Hackers used a zero-day in third-party security software and drained the exchange’s hot wallets. - Liquid Network: $318.7M (Sep 6): A bug allowed an attacker to mint ~4,000 fake BTC on the sidechain; ~85% was returned the next day. - KelpDAO: $292M (Apr 18): The bridge was tricked into approving a fake deposit; researchers link it to North Korea’s Lazarus group. - Drift: $285M (Apr 1): Attackers deceived admins and seized control in ~12 minutes. - Individual wallet: $284M (Jan 10): A fake “hardware wallet support” call led to theft of ~1,459 BTC and 2M LTC. - Tectonic: $120.4M (Aug 30): Price manipulation on Cronos; a chain rollback reversed $111M of the loss. - Coldcard wallets: ~$116M (Jul 30): An old firmware flaw made some seed phrases guessable; wallets were drained in waves. - Ledger reseller: $93.2M (Oct 9): Devices sold via CryptoBilis in Southeast Asia were drained; Ledger found a hidden chip in one victim device. - Humanity Protocol: $31M (Jun 8): Signer keys were stolen via a phished laptop. - Step Finance: $28.9M (Jan 31): An executive device compromise exposed treasury keys.frozen5d ago4.2K1631618064.88%
Top L2s by weekly active wallets: opBNB: 2.7M Base: 1.4M Robinhood Chain: 938.9K Celo: 785.3K Arbitrum One: 557.4K Immutable: 132.6K World Chain: 118.6K X Layer (OKX): 115.3K OP Mainnet: 68.5K The gap between the top five and the rest is huge. The top five hold about 94% of the activity, with roughly 6.4M weekly wallets between them. The next four combined have 435K. opBNB alone has nearly double Base’s weekly wallets, and Robinhood Chain is already third. Which L2 are you actually using? Source: Token Terminal3h ago1.1K503000.74%