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cyrilxbt

CyrilXBT

Verifiedactive
@cyrilxbt

I build and write about AI agents + crypto 👾

RosterAI Agents & Productivity ToolsCrypto & Web3AI Content Creation & Video Gen
197,279 followers · 563 following · Last polled 3h ago
Perf. Score
62.2
Rank #126
Value Score
48.5
#143 of 273 priced
Median views
9.9K
p25 7.4K · trailing 7d
Followers
197K
+0.0% 7d
ER (impr.)
1.45%
eng ÷ impressions
ER (foll.)
0.11%
eng ÷ followers
Est. CPM
$35.4
QT-rate basis
WoW views
-39.6%
▼ falling

Rates & value · est. from 9.9K median organic views

fairly priced
Quote tweetbasis
$350
$35.4 / 1K views
Post
—
no CPM
Thread
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no CPM
Retweet
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no CPM
Value Score 48.5 · rank #143 of 273 priced$2046.78 / 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 (9.9K), not the mean (15K) — so a single viral post doesn't inflate a creator's reach. The p25 floor (7.4K) is the level 75% of posts clear.

Recent posts · ranked by views

PostPostedViewsLikesRepostsRepliesQuotesBookmarksER
https://t.co/SkcIaL0KmEfrozen20d ago570K3814520119440.25%
https://t.co/Suo41cf3EQfrozen13d ago442K345331484770.20%
https://t.co/IeLUcO4Gtifrozen
28d ago
390K
193
25
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https://t.co/MSH9cS9pSmfrozen9d ago254K233271452470.21%
https://t.co/GLWArrEKjPfrozen24d ago207K18723841720.19%
i can't comprehend why people run claude code on default settings one settings change and every model gets its own job: → opus plans every task and advises when stuck → sonnet 5.5 writes the actual code → haiku handles every file search → a critic agent tries to break your diff before you merge Opus thinks. The cheap models grind. paste this into claude code 👇 Add this to ~/.claude/settings.json. Keep every hook, permission and plugin I already have. Then create the two agent files below and show me the diff. ```json { "model": "opusplan", "advisorModel": "opus", "effortLevel": "medium", "modelSettings": { "claude-opus-5-5": { "effortLevel": "high" }, "claude-sonnet-5-5": { "effortLevel": "medium" } }, "env": { "CLAUDE_CODE_SUBAGENT_MODEL": "haiku" } } ``` ~/.claude/agents/scout.md ``` --- name: scout description: finds code fast. returns file paths and line numbers only. model: haiku tools: Read, Grep, Glob --- Locate exactly what was asked. Return file:line. No fixes. No opinions. ``` ~/.claude/agents/critic.md ``` --- name: critic description: reviews a diff or plan before any task is called done model: opus tools: Read, Grep, Bash --- Assume this is broken. Find how it fails. One line per issue, worst first. ```frozen12d ago189K2.0K18213684.2K3.45%
Your CLAUDE. md is making Opus 5.5 DUMBER. Lines like "double check your work" and "think step by step" were written for OLD models. On Opus 5.5 they slow it down and make the output worse. Lance Martin at Anthropic just shipped the fix. Open Claude Code and type: /claude-api prompt-audit It scans your skills, CLAUDE. md and prompts. Cuts the lines that hold the model back. Rewrites the rest with the official Opus 5.5 guidance. 5 minutes. Run it TONIGHT. Bookmark this before you forget. https://t.co/CkM73oMkwUfrozen27d ago182K856553831.7K1.45%
https://t.co/qxna0z327rfrozen4d ago173K190152542130.26%
this is pure f*cking GOLD how to launch your first ai agent (end-to-end walkthrough) if i’d had this last year, my first agent would’ve been in production by tomorrow instead of spending two weeks lost in the underbrush do it right, and the whole game gets rewritten: https://t.co/JJMR8fbw5ofrozen19d ago130K2.4K3353223.7K5.03%
GTA 6 is about to create more millionaires than crypto has ever done GTA 6 drops in a month 98.89% of people will just play it. Here is how the other 1.11% will make life-changing money before the first week is over. THE MATH MOST PEOPLE WILL IGNORE 0.01% will build tools and make $50,000 or more. 0.1% will run servers at $5,000 a month. 1% will stream and cover rent. 98.89% will just play. Be at least 0.1%. With Claude Code it is not even hard. OPPORTUNITY 1 - SELL FIVEM SCRIPTS WITH ZERO CODING EXPERIENCE Claude writes Lua now. Server owners pay $50 to $389 per script on the Cfx Marketplace. Developers on Tebex report averaging over €5,000 a month within 90 days of launching. You do not need to know how to code. You need to know what server owners are desperate for right now. Custom job systems. Economy balancers. UI panels. Vehicle systems. Whitelist managers. 1 script per week for 7 months is 30 products. If each one sells 10 copies at $100 average that is $30,000. From a game you were going to play anyway. OPPORTUNITY 2 - RUN A PAID RP SERVER AS A SUBSCRIPTION BUSINESS This is the one that sounds fake until you do the math. 50 members at $15 a month is $750. 100 members at $20 a month is $2,000. 200 members at $20 a month is $4,000. 500 members at $25 a month is $12,500. Every month. Recurring. The top servers already have waitlists. People paying to get onto a list just to pay again when a spot opens. Claude builds every script you need. Jobs. Economy. Housing. Factions. Police systems. You are not a developer. You are running a private club where members pay to stay. Then take your server clips and run them through an AI UGC engine. Shorts. Reels. TikToks. Nearly free user acquisition from people who were already watching GTA content and dying to play. OPPORTUNITY 3 - AI POWERED NPC PACKS FOR SERVER OWNERS RP servers live or die on immersion. Right now most NPCs are lifeless markers on a map. Connect Claude API to in-game NPCs and suddenly shop owners haggle with players. Cops interrogate with real dialogue. Quest givers remember your backstory. Bartenders gossip about other players' crimes. No server has this yet. Package it as a plug-and-play script at $200 to $500 per server. 100 servers and the math speaks for itself. OPPORTUNITY 4 — THE $240M CREATOR ECONOMY NOBODY IS POSITIONING FOR Rockstar acquired FiveM in 2023. Launched a paid marketplace in January 2026. Currently hiring 4 Creator Platform roles. They are building the Roblox of GTA. Roblox paid creators $1 billion in 2025. The top 10 averaged $33.9 million each. GTA 6's player base is older, richer, and already spent $8.6 billion on GTA Online. The creator cut of that $8.6 billion was zero. Because there was no creator economy. That changes with GTA 6. Even if only 100,000 creators show up and it matches Roblox payouts that is $10,000 per creator on average. Top 1% will clear $500,000 or more. For making content inside a video game. THE WINDOW IS 6 MONTHS 6 months from now every niche will be taken. Right now most of them are completely empty. The people who move this week will own categories that thousands of people will be competing for after launch. The people who wait will spend next year wondering why the slots were already full when they showed up. This is the rare opportunity where demand is guaranteed. The only variable is whether you act before the crowd does. Follow @cyrilXBT for the exact Claude Code workflows, FiveM script templates, and GTA 6 monetization systems I am building right now before everyone else catches on.frozen23d ago111K544624711.0K1.53%
opus 5.5 is f**king insane paste this into Claude Opus 5.5 and let it spin up the agents, prompts, and workflows for you. grab it now before it becomes everyone’s default playbook: https://t.co/VmyWQJVqmufrozen18d ago109K706772131.5K2.16%
this is pure f*cking golddd how to build your first ai agent (end-to-end walkthrough) if i’d had this in my hands a year ago, i would’ve shipped my first agent in a day instead of losing two weeks to trial and error in the right hands, this changes the entire playing field: https://t.co/8sKiqy36SOfrozen17d ago66K8911491111.4K3.71%
STOP BOOKMARKING THINGS. You will never open them again. Be honest. When did you last read something you saved? Saving is not learning. Saving is hoarding. Opus 5.5 fixes this. It reads what you save, files it, links it, and brings it back when it MATTERS. Here's how to build it from scratch 👇frozen19d ago60K612593719052.69%
Your CLAUDE. md is making Opus 5.5 DUMBER. Stuff like “double-check your work” and “think step by step” was advice for yesterday’s models. On Opus 5.5, it’s drag slower responses, weaker output. Lance Martin over at Anthropic just pushed the remedy. Open Claude Code and run: /claude-api prompt-audit It sweeps your skills, CLAUDE. md, and prompts. Strips the deadweight phrases that kneecap the model. Then rewrites what’s left using the official Opus 5.5 guidance. Takes five minutes. Do it tonight. Save this now, or you’ll swear you were going to later.frozen20d ago59K493452147252.19%
opus 5.5 is f**king insane. paste this into Claude Opus 5.5 and it’ll spin up your first complete crew of AI agents with prompts, workflows, and the whole setup done for you bookmark it, copy it, claim it before it disappears: https://t.co/8vHzfhKAnQfrozen14d ago53K433511108422.51%
STOP ORGANIZING YOUR NOTES. Folders. Tags. Color codes. Hours every week filing things you'll never read. That's not thinking. That's admin. Opus 5.5 does the filing now. You just capture. How to set it up from scratch 👇 https://t.co/oI2WhTJWUTfrozen16d ago47K447562004272.02%
Opus 5.5 is INSANEEEEEE 🤯 I asked my notes "what do I actually believe about pricing?" Opus 5.5 read 2 years of my thinking. It gave me the answer in 5 lines. Then it showed me the note from March where I said the OPPOSITE. That's not a notes app. That's a second brain. Here's how to build yours from scratch 👇 Bookmark this.frozen20d ago40K248391432131.29%
As much as i want to have some much confidence in $BTC going up so we can all make money I want you to take a second and look at that volume below 😞 https://t.co/yjvWnl6UkFfrozen18d ago40K13521201230.51%
6 commands replaced my entire productivity stack. /process → empties my inbox /connect → finds links I missed /review → tells me what I forgot /ask → answers from MY notes /draft → turns notes into posts /decide → turns notes into decisions One Obsidian vault. One Opus 5.5. Full course with every prompt below. Save this.frozen19d ago38K265451212421.50%
STOP TALKING TO CLAUDE. Start MANAGING it. One chat = one assistant. One setup = a whole team. Planner breaks the job down. Researcher gathers what's needed. Builder ships it. Jev decides what passes and what goes back. You just approve the output. Copy the setup prompt below 👇frozen16d ago37K389611905102.63%
this is absolutely INSANEEE jack dorsey, one of twitter’s founders, just dropped a completely free github repo that’s already sitting at 26.2k stars, and it’s basically an ai-agent operating system you can use to run a business here’s how it works: 1. clone the repo 2. self-host the whole thing: channels, search, git, automations, it all lives on your server 3. add your agent to a channel like it’s a new hire, tighten its permissions, and let your team steer it live as it works save this. bookmark it. you’ll thank yourself laterfrozen18d ago37K366442425162.56%
BEFORE: New session. Paste your context. Explain your project again. Repeat tomorrow. AFTER: New session. Opus 5.5 reads its memory. Picks up exactly where you left off. Plain markdown files. Version checks so nothing gets overwritten. Tests so you know it works. How to build it from scratch 👇frozen9d ago35K313412212411.79%
opus 5.5 is f**king insane paste this into Claude Opus 5.5 and let it spin up the agents, prompts, and workflows for you. grab it now before it becomes everyone’s default playbook: https://t.co/Ft7rLXL6Vsfrozen22d ago35K258401603001.78%
POV: your notes finally talk back "You wrote about this exact problem in March." "These 3 notes contradict each other." "You promised Sam a follow up 9 days ago." "This idea has 14 links and you never posted it." That's Opus 5.5 running a second brain. How to build it in under an hour 👇frozen19d ago34K17941141910.96%
BEFORE: 2,000 notes. Zero I could find. Inbox full of guilt. AFTER: Inbox empty every morning. Every note linked. Weekly review written for me. Same notes. Different brain. The difference is Opus 5.5 and one CLAUDE. md file. How to set it up from scratch 👇 https://t.co/pXmXybABDdfrozen19d ago33K255351601321.32%
I'm genuinely shocked this is FREE YOU CAN BUILD YOUR FIRST AI AGENT IN ONE AFTERNOON. FOR FREE. My first one took me two weeks. This guide gets you there in a few hours: Step 1: Pick one boring task you repeat every week. Step 2: Give the agent tools: read files, search, send a draft. Step 3: Add a Jev decision layer, so the small calls (which tool, which file, done or not) cost a fraction of a cent. Step 4: Put a human checkpoint before anything that sends, deletes or pays. Step 5: Run it, watch it, tighten it. One builder with this setup ships like a small team. Full guide below. Bookmark it. follow @cyrilXBTfrozen20d ago33K245421522981.83%
Do the math on 1,000 coding tasks a month. Opus 5.5 doing everything: $6,420 Jev + Opus 5.5: $2,000 That's $4,420 a month back. $53,040 a year. Same tasks. Same model writing the code. The only difference is who makes the small decisions. Full build below. Bookmark this. https://t.co/HYnKk0NfmIfrozen11d ago32K241362811041.28%
HOW TO BUILD A SECOND BRAIN WITH OPUS 5.5 IN UNDER AN HOUR. No coding. No $1,000 course. Step 1: Download Obsidian Step 2: Create 8 folders Step 3: Open Claude Code inside the vault Step 4: Write one CLAUDE.md file Step 5: Type /process That's it. Your brain runs itself now. Save this.frozen20d ago31K234221422531.72%
Your coding agent is a surgeon doing the paperwork. Opus 5.5 is brilliant. And you're paying it to decide which file to open. Which test to run. Whether to retry. That's not surgery. That's admin. Give the admin to Jev. Keep the surgeon in surgery. Same results. A third of the bill. Full architecture below 👇frozen11d ago30K27236252591.32%
i can't comprehend why everyone isn't building this yet opus 5.5 + a folder of markdown files = a second brain that actually THINKS → inbox empties itself every morning → finds connections between notes you forgot you wrote → answers questions from YOUR notes with receipts → turns notes into posts with a single prompt Obsidian stores. Opus thinks. full course from scratch below 👇frozen20d ago29K224251402061.62%
Feed these instructions for your claude .md file this might just change your life https://t.co/Zk5wx9b3eFfrozen24d ago29K26235713742.36%
i can’t believe people still send every task to Opus one Jev call in front of your agent and every task finds its tier: → Jev reads the task and picks small, mid or frontier → Haiku and Sonnet take the easy work → Opus 5.5 only gets the hard stuff → a Jev guard checks every bash command before it runs the router costs $0.042 per million tokens. output is free. paste this into claude code 👇 claude plugin marketplace add typesafe-ai/skills claude plugin install typesafe@typesafe-ai Add a Jev router and a Jev command guard to this project. Router: before each task, ask Jev (jev-latest) one choice question (small, mid, frontier) and one noul question (plan before editing?). Map small to Haiku 5.5, mid to Sonnet 5.5, frontier to Opus 5.5. Low confidence routes up a tier, never down. Guard: a PreToolUse hook on Bash that asks Jev if the command is destructive. Under 0.35 run it, 0.35 to 0.7 ask me, over 0.7 deny. Read TYPESAFE_API_KEY from env, time out after 4 seconds, and fall back to asking me. Show me the diff before changing anything. All the facts in both posts come from published sources: the install commands, Jev’s pricing, the force push and rm example scores, and Opus at $4 / $20.frozen12d ago27K316423103382.69%
Most people think AI memory means saving the whole chat. It doesn't. A chat log is 90% noise. Small talk. Dead ends. Answers you rejected. Real memory is facts. One subject per file. "Prefers short answers." "Auth uses sessions now." "Launch is Friday." Small enough to load in a second. That's how Opus 5.5 remembers without drowning. Full build belowfrozen8d ago27K18330250531.08%
watched an 18-year-old throw together a trading bot with Grok Bot in 3 days like it was nothing night one: $2,473 profit starting with: $86 the whole setup is almost stupidly simple: hook Grok Bot into X. let it catch every BTC post the moment it hits. point it at the 15-minute Bitcoin chart. shut the laptop. after that it runs the show. scans the feed, tags posts as bullish or bearish, waits for sentiment to stack up, then fires the trade. > $100 → $4,826 in 67 hours (paper) > 69% win rate over 268 trades > built in 3 days, no coding he’s not playing price action. he’s playing the timeline. the full walkthrough is in the article below. same prompts, same settings, step by step. save thisfrozen8d ago26K184241711791.54%
Do the math on 1,000 coding tasks a month. Opus 5.5 doing everything: $6,420 Jev + Opus 5.5: $2,000 That's $4,420 a month back. $53,040 a year. Same tasks. Same model writing the code. The only difference is who makes the small decisions. Full build below. Bookmark this. https://t.co/HZGha63xhbfrozen4d ago26K26531461441.48%
POV: After you paid $5000 to learn how to build a second brain with opus 5.5 then find the FREE version below https://t.co/26AKqmSzBGfrozen19d ago26K15220301511.25%
Your coding agent is a surgeon doing the paperwork. Opus 5.5 is brilliant. And you're paying it to decide which file to open. Which test to run. Whether to retry. That's not surgery. That's admin. Give the admin to Jev. Keep the surgeon in surgery. Same results. A third of the bill. Full architecture below 👇frozen5d ago26K24426211621.36%
STOP SENDING EVERY CODING TASK TO OPUS 5.5. Haiku 5.5 just dropped at $0.10 per million input tokens. Rename a variable? Haiku. Write a docstring? Haiku. Fix a typo in a test? Haiku. Redesign the auth system? Opus. Jev decides which is which in milliseconds. Your bill drops. Your quality doesn't. Full routing setup below 👇frozen9d ago26K211252211321.51%
THE BEST AI AGENT IN 2026 USES 4 MODELS. Not one. Opus 5.5 for the hard thinking. Sonnet 5.5 for the building. Haiku 5.5 for the volume. Jev for the yes or no decisions. Picking which model does which job used to take an engineer. Now Opus 5.5 does it for you. It designs the agents, picks the models, writes the prompts and wires the workflow. Copy the prompt below 👇frozen11d ago25K391533312592.90%
STOP RE-EXPLAINING YOURSELF TO OPUS 5.5 EVERY SESSION. Your stack. Your preferences. The bug you fixed last week. The decision you made yesterday. It forgot all of it the second you closed the chat. Give it a memory that survives. Write what matters. Consolidate it so it stays clean. Recall only what the next task needs. Full build with code below 👇frozen8d ago25K20023180891.32%
POV: you walk into every meeting remembering everything "Last call she said pricing was the blocker." "He mentioned his launch is in November." "You promised to send her that case study." "This is the third time they've asked about integrations." Opus 5.5 read your notes 30 seconds before the call. That's what a second brain actually does. How to set it up in under an hour 👇frozen16d ago25K17923501411.40%
BEFORE: Opus 5.5 does everything. Reads every file. Decides every retry. $6.42 per task. AFTER: Jev makes the small decisions. Opus only does the hard reasoning. Confidence thresholds catch the risky calls. $2.00 per task. Same agent. Same code quality. A third of the bill. Full build below 👇frozen13d ago25K243381411471.80%
$40,000 a month vs $30 a month. The team a one person company used to need: Researcher Marketer Sales rep Support rep Ops and finance Developer QA tester Someone to manage them all Grok Bot covers the repetitive part of every one of those jobs. You keep the decisions. Full course with every prompt below. Save this.3d ago24K19019170811.25%
If you have a file called context.txt that you paste into Claude every morning, read this. You already built a memory system. A manual one. That you update by hand. And forget to update. Let Opus 5.5 do it. It writes what it learns. Cleans it up. Loads only what each task needs. Your context.txt, but automatic. How to build itfrozen7d ago24K12618181430.85%
Your notes app is making you DUMBER. You save everything. You find nothing. I fixed it with one folder and Opus 5.5. It sorts my inbox every morning. It links every note to the notes it belongs with. Every Sunday it tells me what I FORGOT. Full course below. Set it up TONIGHT. Bookmark this.frozen19d ago24K156181211401.36%
STOP DOING YOUR OWN APP MARKETING. I handed mine to Muse for 24 hours. It wrote the posts. Made the visuals. Picked the timing. Replied to comments. 1.1M+ views in one day. I didn't touch a thing except approve. Here's exactly how I set it up 👇 https://t.co/mo0z1fj4HS2d ago24K9910140200.60%
BEFORE: New session. Paste your context. Explain your project again. Repeat tomorrow. AFTER: New session. Opus 5.5 reads its memory. Picks up exactly where you left off. Plain markdown files. Version checks so nothing gets overwritten. Tests so you know it works. How to build it from scratchfrozen6d ago24K25544201701.65%
Holy Sh*t , this is GOLD The Grok Bot team just put its own bots in the marketplace. Import one. Connect your tools. Done. The 10 worth stealing, by job: BUILD Engineer Bot → supervises coding agents, you merge the PRs Proto Bot → turns feature ideas into draft PRs figma bro → turns Figma frames into build specs Startup QA Bot → tests your product and reports bugs with steps GROW Distro Bot → runs campaigns, asks before posting or spending Signal Prospector → finds buying signals and drafts outreach Video Editor → cuts raw footage into captioned vertical clips RUN THE BUSINESS Stalk Bot → tracks competitors' pricing and positioning Haggle Bot → finds wasted SaaS spend and drafts negotiations MAKE YOUR OWN dr eggbot → describe a job, it builds a specialist bot Bookmark this.frozen5d ago24K248282632112.19%
If the notes app you use shut down tomorrow, how many of your ideas would die with it? Most people never think about this. Your thinking lives inside someone else's product. A real second brain is just plain text files. On your computer. Owned by you forever. Opus 5.5 reads them, sorts them and connects them. But they're YOURS. How to build it from scratch 👇frozen15d ago23K12218110650.94%
When was the last time you made the same mistake twice? Probably this month. Not because you're dumb. Because nothing remembered the first time. A second brain with Opus 5.5 writes every big decision down. Then reads it back to you before you make the next one. Your past self becomes your advisor. Full course below. Bookmark this.frozen16d ago23K11016110650.89%
INSTEAD OF WATCHING NETFLIX TONIGHT Build a second brain with Opus 5.5. One Obsidian vault. One CLAUDE. md file. Six commands. By Sunday it sorts your notes, links your ideas and tells you what you FORGOT. It costs less than your Netflix subscription. Skip it and those 2,000 notes stay buried forever. Your call. Full course from scratch below. Follow @cyrilXBTfrozen20d ago23K15818701321.39%
3 rules turned Opus 5.5 into my chief of staff. 1. One idea per note → so everything can link to everything 2. Keep my words → so my brain stays MINE, not generic AI 3. If my notes don't say it, say so → so I hear what I think, not what the internet thinks All 3 live in one CLAUDE.md file. Full course with the copy and paste file below. Save this.frozen16d ago22K16527151751.27%
SEND THIS PROMPT TO CLAUDE OPUS 5.5 AND IT BUILDS YOU A TEAM OF AI AGENTS. One prompt. Here's what comes out: A planner that turns your goal into a weekly plan. A researcher that finds what's working in your niche. A content agent that drafts posts, emails and scripts in your voice. A reviewer that checks everything before you ship it. You stay the boss. They do the work. Prompt in the image. Bookmark this. follow @cyrilXBTfrozen23d ago22K228402102582.48%
What was the best idea you had 6 months ago? You don't remember. Neither did I. That's the problem with every notes app. Ideas go in. Nothing comes back out. I built a second brain with Opus 5.5 that resurfaces what I FORGOT every Sunday. Full course below. Bookmark this. https://t.co/bIYKNMw7osfrozen19d ago22K14723121861.22%
BEFORE: Read 30 books a year. Highlight everything. Remember almost nothing. AFTER: Every book becomes notes. Every note links to what you already know. Every idea comes back when it matters. Same books. Finally compounding. How to build a second brain with Opus 5.5 👇 https://t.co/sq4blvxKpefrozen15d ago22K1251940510.92%
You don't need 10 hours a week to get good at AI. You need 60 minutes a day, used like this: 10 min: write today's goal in one sentence 5 min: prompt with goal, context, ask 5 min: get a plan and approve it 30 min: build with Sonnet 5.5 10 min: save what worked Run that loop for 30 days. Same hour every day. Harder task every day. That's the whole secret. Bookmark this. follow @cyrilXBTfrozen21d ago21K148381801341.58%
OPUS 5.5 SHOULDN'T BE DOING THE WORK. It should be writing the PLAN. Claude Code workflows let Opus write a script that runs a whole swarm of agents in the background. Opus plans. Haiku 5.5 scans every file in parallel. Sonnet 5.5 makes the fixes. A verifier checks every finding. Opus only sees what survives. Your expensive model never reads 100 agent transcripts again. Setup prompt below 👇frozen5d ago21K181194011241.73%
YOU CAN AUDIT YOUR ENTIRE WEBSITE'S SEO IN UNDER AN HOUR WITH OPUS 5.5. No $400/month tools. No agency. Here's the setup: Step 1: Open Claude Code and paste the audit script from the course. It crawls every page in your sitemap. Step 2: It flags broken pages, missing titles, duplicate descriptions and thin content, and saves it all to one file. Step 3: Pull your last 3 months of data from Google Search Console. Step 4: Give both to Opus 5.5 and ask for a fix list sorted by impact. Step 5: Fix the top 10 this week. The full course is free below. Bookmark it. follow @cyrilXBTfrozen24d ago21K147211701621.65%
CAPTURE WAS NEVER THE PROBLEM. Every app on earth does capture. The REAL problem is everything after. Sorting. Resurfacing. Actually using what you saved. That's judgment work. Opus 5.5 does judgment work. So now I capture. It does the rest. How to build it from scratch below. Follow @cyrilXBTfrozen19d ago21K16323140511.22%
STOP BUILDING 8 AI BOTS ON DAY ONE. You'll burn your allowance. You won't know which ones work. You'll quit by Friday. Start with 3: Chief of Staff → one morning brief Sales → no lead goes cold Support → every reply drafted for you Those 3 cover where solo founders make or lose money fastest. Add the rest once they earn their keep. Full course below. Save this.1d ago20K13418221250.98%
Tiago Forte wrote a whole book on building a second brain. The hardest part was never the method. It was finding the time to sort, link and review your notes every week. Opus 5.5 does that part now. Every morning. Every Sunday. Automatically. The method was right. It just needed a brain to run it. Full course below 👇frozen18d ago20K1552090931.37%
SEND THIS CONFIG TO OPUS 5.5 AND IT BUILDS YOU AN AI AGENT TEAM. Claude does the thinking. Jev handles the routing. Here's what it sets up: Step 1: A small team of agents, each with one job: research, code, writing, review. Step 2: Jev reads every incoming task and picks the right agent in milliseconds. Step 3: Hard problems go to Opus. Routine work goes to faster, cheaper agents. Step 4: Anything Jev isn't sure about goes back to Opus to decide. You stop sending every task to one giant chat. Config in the image. Paste it into Claude, and bookmark this. follow @cyrilXBTfrozen22d ago20K181281801351.83%
Do the math on 1,000 coding tasks a month. Opus 5.5 doing everything: $6,420 Jev + Opus 5.5: $2,000 That's $4,420 a month back. $53,040 a year. Same tasks. Same model writing the code. The only difference is who makes the small decisions. Full build below. Bookmark this. https://t.co/EFe4gJCT7lfrozen6d ago20K19026122701.52%
TYPESAFE JUST SHIPPED THE OFFICIAL SKILL THAT TEACHES CLAUDE CODE HOW TO BUILD ON JEV. Without it, coding agents make the same mistakes: one Jev call per question, and guessed field names. With it, the agent works in the right order before it writes a line. Here's the setup: Step 1: Install the skill. It's one command (in the replies). Step 2: Tell Claude Code what you want to build with Jev. Step 3: Watch it read the docs first, map out every decision, then put all the questions into ONE request. Step 4: Your code makes the final call. Jev just picks. TypeSafe's own cookbook: 13 questions in one call came out 12.2x cheaper and 10x faster than 13 separate calls. Same answers. Save this. follow @cyrilXBTfrozen25d ago19K161342311712.00%
🚨 Opus 5.5 is the best model launch in 2026 this entire physics engine is one HTML file. sand, water, oil, fire, lava, plants, steam. 108,000 particles at 60fps. built with Opus 5.5. prompt in the replies 👇 follow @cyrilXBT https://t.co/B8xrgJlYzTfrozen27d ago19K11017130210.87%
WEEK 1: Your agent runs exactly like before. Jev answers every decision silently. You log both answers. WEEK 4: Jev makes the small calls. Opus 5.5 only does the hard thinking. Your bill is a third of what it was. No risky switch. No big rewrite. Just a decision layer, rolled out slowly. Full plan below 👇frozen9d ago18K188301301221.93%
INSANE how most AI agents still send every task to Claude Code. Jev routes the easy work to cheaper workers, saves the expensive reasoning for what actually matters, and makes the whole system literally faster. This is how you build agents that scale. Follow @cyrilxbt for more AI updates.frozen28d ago18K17631250941.82%
Most people waste day 1 with a new AI model. They type "build me an app" and wonder why the result is garbage. Here's what your first hour with Sonnet 5.5 should look like: Write a CLAUDE. md so you never explain your project twice Write one prompt: goal, context, ask Ask for a plan before any code Save the prompt that worked 60 minutes. 1 file. 1 saved prompt. I'm starting #30DaysOfSonnet today. Reply "day 1" and do it with me. follow @cyrilXBTfrozen21d ago18K13622201611.35%
STOP HIRING FOR JOBS A BOT CAN DO. Researcher. Marketer. Sales follow ups. Support replies. Bookkeeping. QA testing. Grok Bot runs every one of them for $30 a month. You keep the only job that matters: Making the decisions. Full course with every prompt below https://t.co/iH8jaNqD97frozen4d ago18K16216241261.31%
Send this config to Codex. It connects Luna + Jev, classifies every task, exposes where you’re wasting compute and money, and upgrades your coding workflow beyond what 95% of developers are using. Copy it now. Thank me later. Follow @cyrilxbt for more AI updates. https://t.co/LkwAXrFS4Afrozen28d ago17K162311501281.94%
i can't comprehend why people run claude code on default settings one settings change and every model gets its own job: → opus plans every task and advises when stuck → sonnet 5.5 writes the actual code → haiku handles every file search → a critic agent tries to break your diff before you merge Opus thinks. The cheap models grind. paste this into claude code 👇 Add this to ~/.claude/settings.json. Keep every hook, permission and plugin I already have. Then create the two agent files below and show me the diff. ```json { "model": "opusplan", "advisorModel": "opus", "effortLevel": "medium", "modelSettings": { "claude-opus-5-5": { "effortLevel": "high" }, "claude-sonnet-5-5": { "effortLevel": "medium" } }, "env": { "CLAUDE_CODE_SUBAGENT_MODEL": "haiku" } } ``` ~/.claude/agents/scout.md ``` --- name: scout description: finds code fast. returns file paths and line numbers only. model: haiku tools: Read, Grep, Glob --- Locate exactly what was asked. Return file:line. No fixes. No opinions. ``` ~/.claude/agents/critic.md ``` --- name: critic description: reviews a diff or plan before any task is called done model: opus tools: Read, Grep, Bash --- Assume this is broken. Find how it fails. One line per issue, worst first. ```frozen6d ago17K224242502553.06%
What if you could use Claude Code without paying for tokens? free-claude-code is an open source CLI that lets you run Claude Code, Codex, OpenCode and more on free token sources. Terminal. IDE. Desktop app. Even your phone. Perfect for learning the tools before you pay for them. Check which models it routes to before you trust it with real work. Repo below 👇frozen5d ago17K16216372441.51%
i genuinely don’t get why anyone runs claude code on stock settings flip a single setting and suddenly each model has a role instead of stepping on each other: → opus plans every task and advises when stuck → sonnet 5.5 writes the actual code → haiku handles every file search → a critic agent tries to break your diff before you merge Opus thinks. The cheap models grind. paste this into claude code 👇 Add this to ~/.claude/settings.json. Keep every hook, permission and plugin I already have. Then create the two agent files below and show me the diff. ```json { "model": "opusplan", "advisorModel": "opus", "effortLevel": "medium", "modelSettings": { "claude-opus-5-5": { "effortLevel": "high" }, "claude-sonnet-5-5": { "effortLevel": "medium" } }, "env": { "CLAUDE_CODE_SUBAGENT_MODEL": "haiku" } } ``` ~/.claude/agents/scout.md ``` --- name: scout description: finds code fast. returns file paths and line numbers only. model: haiku tools: Read, Grep, Glob --- Locate exactly what was asked. Return file:line. No fixes. No opinions. ``` ~/.claude/agents/critic.md ``` --- name: critic description: reviews a diff or plan before any task is called done model: opus tools: Read, Grep, Bash --- Assume this is broken. Find how it fails. One line per issue, worst first. ```frozen7d ago17K260345222393.41%
unpopular opinion: SEO courses are dead. Not because SEO is dead. Because Opus 5.5 can now run the audit, map your keywords, write the brief and find the pages stuck on page 2, and you only need to learn how to ask it. I put the whole system in one free article ⬇️ follow @cyrilXBTfrozen27d ago17K9712182751.20%
How to cut your AI bill by 60% switching to Opus 5.5: Most people will swap the model name, save 24%, and stop there. The other 37% is sitting in your settings. Here's the real before and after on an example agent workload. One month: 100M input tokens (80M cached reads, 5M cache writes, 15M uncached) 10M output tokens BEFORE: Opus 5 Cache reads: 80M × $0.50 = $40 Cache writes: 5M × $6.25 = $31.25 Uncached input: 15M × $5 = $75 Output: 10M × $25 = $250 Total: $396.25 STEP 1. Just switch the model. Same tokens, new prices. Cache reads $0.20. Writes $5. Input $4. Output $20. $16 + $25 + $60 + $200 = $301 24% cheaper. That's what everyone's screenshotting. STEP 2. Let it write less. Box measured Opus 5.5 at 40% less verbose with no drop in accuracy. 10M output tokens becomes 6M. Output drops from $200 to $120. Total: $221. Now you're at 44% off. STEP 3. Stop running every call at max effort. Thinking can't be switched off on 5.5 anymore, so effort is your lever. Classifying, routing, formatting, summarizing? Drop the effort. Save the high settings for the calls that actually reason. Say that trims output another 25%, 6M down to 4.5M. Output: $90. Total: $191. 52% off. STEP 4. Cache the stuff you keep resending. This is the one nobody does. Cache reads went from $0.50 to $0.20. That's 60% off the cheapest line on your bill. Move your system prompt, tool definitions and repo context into the cache. Uncached input drops from 15M to 5M, cache reads go up to 90M. $18 + $25 + $20 + $90 = $153 AFTER: $153 From $396.25. 61% cheaper. Same work. The model gave you 24%. You gave yourself the other 37%. Anthropic's own number is 40% cheaper than Opus 5 on typical workloads. Your number depends on how much of your bill is output and how much of your prompt you're resending uncached every call. So check those two first. Bookmark this for when you migrate. follow @cyrilXBTfrozen29d ago16K10621161601.26%
What if Opus 5.5 remembered every session you've ever had with it? Not one giant chat log. A real memory. One file per subject. Cleaned up so it never bloats. Pulled back only when it's relevant. So session 50 knows everything session 1 learned. Here's exactly how to build it 👇 Bookmark this.frozen9d ago16K177181201182.01%
luna + 6.1 sol inside codex... i can't comprehend why people are still sending every task to astra the cheap agent tree: → 6.1 sol at low effort orchestrates → luna handles the narrow work → 6.1 sol at medium effort writes the real code → astra only comes in for an independent review 6.1 sol is near astra level at a fifth of the token price. cached input is $0.10 per million. one model plans. the cheap ones do the work. the expensive one only checks. setup prompt below 👇 follow @cyrilXBTfrozen22d ago16K16529190871.86%
SEND THIS CONFIG TO CODEX AND IT STOPS WASTING MONEY ON EVERY TASK. It pairs GPT 6 Luna with Jev. Here's what happens: Step 1: Every task Codex gets is classified by Jev first, in milliseconds. Step 2: Small decisions stay with Jev: which files, which tests, which tool. Step 3: Real coding goes to Luna. Step 4: Every task gets logged, so you can see exactly where your compute and money were going. Copy the config below. Paste it into Codex. Done. follow @cyrilXBTfrozen25d ago16K15025601111.84%
Steal my second brain CLAUDE. md. Paste this in the root of your Obsidian vault: 1. One idea per note. 2. Keep my words. Never rewrite my opinions into yours. 3. Never delete. Archive instead. 4. Cite every note you use. 5. If my notes don't have the answer, say so. 5 lines. Opus 5.5 now runs my notes like a chief of staff. Full course with all 6 commands below. Bookmark this.frozen18d ago16K1692780741.79%
GOOGLE SHOWS YOU WHAT EDITORS WROTE. This shows you what people are saying right NOW. /last30days is a free Claude skill. Ask it about anything. It searches Reddit, X, YouTube, TikTok, Hacker News, GitHub and Polymarket at once. Ranks what it finds by real engagement. Writes you one brief. Before a sales call. Before a purchase. Before you post about a trend. 64k+ stars. MIT. Free. Install below3d ago15K1591970401.46%
$TAO is a $1000 coin sitting at $300 Just let that sink in https://t.co/0YYx7cNBicfrozen21d ago15K3573932182.83%
claude + jev... i can't comprehend why people still type one prompt at a time this setup turns opus 5.5 into a team: → a planner breaks the goal into tasks → a researcher gathers what each task needs → a builder ships the work → dots keeps it running while you're away → jev decides what happens next, in milliseconds claude thinks. jev routes. dots keeps it on. send this to claude to set it up 👇 follow @cyrilXBTfrozen21d ago15K149311901322.18%
I asked an sonnet 5.5 to simulate ice cubes in a drink drop them in watch them crack then watch 20 minutes happen in 12 seconds the last frame is the most honest thing i've seen all week It's over for OPENAI https://t.co/Vz4mm57u3tfrozen24d ago15K891120130.76%
This is INSANEE... Claude Code is one engineer. These 7 repos turn it into a whole team: THE MANAGER Orca → runs multiple agents in parallel https://t.co/jysYX2z7T7 THE RESEARCHER XERJ → local search index, 40x fewer tokens than grep https://t.co/pNlzXeZn27 THE MEMORY Context Mode → shrinks tool output by up to 98% https://t.co/QZh1fkM8RD THE SENIOR DEV Matt Pocock's Skills → battle tested coding skills https://t.co/yJ89h6jYGI THE MIGRATION EXPERT Code Modernization → official Anthropic plugin https://t.co/YkHrsM0KPh THE SPECIALIST Claude Code MCP → an agent inside your agent https://t.co/76hy9HdnID THE ONBOARDING DOC Claude Code Ultimate Guide https://t.co/hS4siiYlbj Bookmark this.frozen7d ago15K215352412143.28%
This is f*cking GOLD! JACK DORSEY'S TEAM JUST GAVE AWAY THE SOFTWARE TO RUN A COMPANY WITH AI AGENTS ON STAFF. It's called Buzz. Free, open source, [live star count] stars on GitHub. Think Slack and GitHub in one, on your own server, where agents sit in the channels next to your people. The setup: Step 1: Clone the repo. Step 2: Spin up your own server. Chat, search, git and automations all live there. Step 3: Invite your agent into a channel like a new hire. Step 4: Set exactly what it's allowed to touch. Step 5: Your team gives it work and corrects it in the thread. No per seat pricing. No vendor reading your company chat. Save this. follow @cyrilXBTfrozen25d ago15K117211601081.76%
Opus 5.5 just replaced the most expensive part of my video workflow. One prompt. Studio quality motion graphics. No After Effects. No designer. Copy the prompt below https://t.co/P1o17Bec1Hfrozen5d ago15K198282001292.53%
Sonnet 5.5 is sicker than most people think Same model. Same task. Same prompt box. Day 1 you: 26 minutes, 1 redo, 2 check ins. Day 30 you: 8 minutes, 0 check ins, prompt saved for next time. Sonnet 5.5 didn't get better. The person typing did. Here's exactly what changes in 30 days 👇 follow @cyrilXBTfrozen21d ago15K12615100381.29%
POV: After you paid $5000 for a grok BOT astra course just to find it for FREE right here https://t.co/cxxT8rG00g3d ago15K1101161361.12%
JEV IS INSANE your coding agents forget everything the second the session ends. Every fix. Every dead end you already hit. Every "no, not like that." Gone. Tomorrow you teach it all over again. Someone just open sourced the fix, and it runs on Jev. It's called Beacon, by @asymptotelabs. It pulls in your session history from Claude Code, Codex, Cursor, OpenCode and 20+ other agent tools and turns it into one shared memory. But storing everything isn't the hard part. Most agent runs are GARBAGE to learn from. Failed commands. Wrong turns. One off hacks you'd never want repeated. Save all of that and your agent just gets confidently worse. So Beacon keeps the full history, and Jev decides what actually earns a spot in memory. Promote it. Send it for review. Or throw it away. That's a decision you need on thousands of sessions, which is exactly why it has to be cheap. The runs that survive get turned into reusable skills. So something Cursor figured out on Monday shows up in your Claude Code session on Tuesday. Your agents stop starting from zero. Every good run makes the next one smarter. Repo: https://t.co/IjeYOibXsw Star it and save this. follow @cyrilXBTfrozen29d ago15K114192011011.74%
POV: you show a Grok Bot how you do something ONCE "Got it. Here are the 9 steps you took." "Step 4 looked like a judgment call. Why did you pick that option?" "Steps 7 and 9 send emails. I'll ask before doing those." "Saved as a routine. Say 'run onboarding' anytime." No prompt writing. You just did the job once while it watched. How to set it up3d ago15K14921172471.62%
i asked opus 5.5 to read every note i wrote this year and tell me what i keep avoiding it took [real time] it said: "[paste its actual answer]" it was right. that's not a notes app anymore. full course on how to build it below https://t.co/kXpfsiiR0Ufrozen18d ago15K16226101341.61%
this is the full SEO course, run on Opus 5.5 7 modules. 7 prompts. most people ask AI to "do SEO" and get generic advice back the model can't see Google, so you have to feed it your data every prompt is in the thread below which module do you need first? https://t.co/1Rjyy5iuPCfrozen27d ago14K9215172401.15%
This is F**king dangerous Someone figured out how to get dramatically sharper reasoning out of Opus 4.8 with one setup. Here is how: Ask Claude to write you an "operating manual" for how it should reason through your work Create a new Claude Project and paste that .md into the Project instructions Run Opus 4.8 on High or Max effort Now the model reasons against a real framework instead of improvising every response. Same model. Far better output. And Opus 4.8 already costs a fraction of Fable 5.frozen8d ago14K132131611051.85%
The actual SEO advantage isn’t another keyword tool. It’s having Jev audit your site and Opus 5.5 identify the technical issues, content gaps, and fixes most teams overlook. This is how one person starts operating like an entire SEO department. Follow @cyrilxbt for more AI updates.frozen28d ago14K10910130531.29%
STOP LETTING AI REWRITE YOUR THOUGHTS. Every note polished. Every idea smoothed out. Every opinion turned into the same generic voice. 6 months later you don't recognize your own thinking. My second brain has one rule Opus 5.5 never breaks: "Keep my words." It sorts. It links. It resurfaces. It never rewrites ME. How to set it up 👇frozen14d ago14K11418110221.19%
BEFORE: Monday support. Tuesday content. Wednesday you forget the lead. Friday the product hasn't moved. AFTER: Bots handle the work all week. You spend an hour a day approving it. Nothing slips. Nothing gets forgotten. Same one person. A whole team behind them. For $30 a month. How to set it upfrozen3d ago14K13517141281.41%
i asked opus 5.5 to build a flight simulator over procedural mountains in one html file 321 lines. one prompt. one bug fixed by hand. nothing in this world was modeled. every peak, lake and tree is generated from noise as you fly, so it never runs out bank left and dive toward the snow line. the mountains keep building in front of you follow @cyrilXBTfrozen26d ago14K8812142130.94%
Hot take: Organizing your notes is a waste of your time. Folders. Tags. Templates. Color codes. You spent 40 hours building a system you stopped using in week 3. Your only job is CAPTURE. Opus 5.5 does the sorting, linking and resurfacing. You capture. It organizes. You decide. How to set it up from scratch 👇frozen18d ago14K1141970481.37%
1 hour a day. That's how long it takes to run a one person company with Grok Bot: Morning → 15 min reading the brief and approving drafts Monday → 20 min setting priorities and approving content Friday → 20 min reading the weekly report Monthly → 30 min reviewing spend and competitors The rest of your time goes to what actually needs you: Customers. Product. Decisions. Full course with every prompt below. Save this.2d ago14K7912102230.92%
If you're a student, build this before your next exam. Every lecture note goes into one folder. Opus 5.5 sorts it, links it and finds what connects across classes. Then you ask it: "What will probably be on the exam?" "Explain the 3 topics I understand least." "Quiz me on everything from week 4." It answers from YOUR notes, not the internet. How to set it up in under an hour 👇frozen17d ago14K1061441411.21%
BEFORE: Fancy templates. 47 tags. 3 hours a week organizing. AFTER: Capture in 10 seconds. 5 minutes a day. Opus 5.5 does the rest. Same you. Perfect memory. All it takes is one folder, one CLAUDE.md and Opus 5.5. How to build it from scratch 👇 https://t.co/6ZqG7QIM7mfrozen17d ago14K1192770301.34%
the laziest money on the internet right now is clipping, and almost nobody's doing it right. Creators have hours of long form video sitting on YouTube. They'd pay anyone who turns it into shorts that get views. So they do. Paid clipping campaigns run $1 to $3 per 1,000 views. 1M views. $1,000 to $3,000. From one 30 second clip. And AI now handles almost all of it. It watches every new upload the second it drops. Finds the moments with the strongest hook. Captions it. Reframes it to vertical. Exports it. You post to TikTok, Reels and Shorts, submit the link, get paid on views. Setup is under an hour. After that it runs while you sleep. You're not a content creator anymore. You're running a content factory on someone else's footage, WITH their permission, and they're paying you for it. That permission part is the whole game. Skip it and you're just reuploading, which gets accounts killed fast. Most people will scroll past this. The ones who don't are going to have a very good Q4. follow @cyrilXBT https://t.co/nju0RIaipvfrozen29d ago14K901461591.24%
REA might be the most powerful repo on GitHub right now. 200k+ stars. 100% open source. Here's what it actually does. You see a feature you love in someone else's app. You can't see how it was built. Figuring it out used to mean hours inside 10+ specialist tools, reading machine code by hand. REA hands that job to your agent. You give Claude Code an app and a question. REA picks the right tool, Ghidra, IDA or JADX, runs it on your machine, and returns what it found. With evidence for every claim. Your agent uses that to dig deeper, explain the feature, or build its own version and test it. What you can point it at: → desktop apps → compiled programs and games → Android apps → websites and their network traffic → firmware and binary files The craziest demo: it rebuilt a sound function from the old DX Ball game that compiles back to the EXACT same code as the original. Setup is one command: npx rea-agents setup One rule: use it on software you own or are allowed to analyze. Repo: https://t.co/qxVFREwixv Bookmark this.frozen6d ago14K17242180662.18%
Claude Code can build full apps. These 8 repos make it build them better. PLAN IT gstack → Garry Tan's setup that gives Claude Code roles like founder, eng manager and QA https://t.co/G2C5IJQq6O STAFF IT claude-flow → runs swarms of agents working together https://t.co/eQQsm7YfI4 oh-my-claudecode → multi agent orchestration on top of Claude Code https://t.co/MM6wevLBRt orca → parallel agents https://t.co/jysYX2z7T7 REMEMBER IT claude-mem → memory that survives between sessions https://t.co/1XI7Odux4C context-mode → keeps tool output from flooding the context https://t.co/QZh1fkM8RD DO IT RIGHT agent-skills → senior engineer habits: specs, TDD, reviews https://t.co/bONo0s9NJu everything-claude-code → agents, skills, hooks and configs in one place https://t.co/2Er9PREAih Bookmark this.frozen6d ago14K175292221802.99%
CFO: why is our AI bill so high? Dev: the agent is really smart. CFO: what's it doing all day? Dev: mostly deciding which file to open. CFO: ... Dev: and retrying stuff. CFO: we're paying genius rates for that? Dev: not anymore. How we fixed it with Jev + Opus 5.5 👇 https://t.co/1CTq8yx0tjfrozen11d ago14K11819140321.35%
RIP BLOOMBERG TERMINAL 💔 You need what it does. Search any stock. Live quotes. Financial statements. News. Charts. Portfolio analytics. Every one of those can be built with Opus 5.5 and free data APIs. The terminal costs five figures a year. Your version costs a weekend. Full build below 👇frozen7d ago14K15530152842.10%
4 coins I'm watching this October. Each one has a real catalyst right now, not just a chart. $QNT The Clearing House picked Quant to run the settlement layer for tokenized deposits across 25 major US banks. TCH systems already move over $2 trillion a day. QNT ran from around $60 to above $370 intraday on that news. Daily RSI is above 80. The story is real, but the chart is stretched. $HYPE Starting Oct 3, roughly 90% of the yield from USDC parked on Hyperliquid flows into HYPE buybacks. That's a brand new, recurring bid. The catch: the biggest unlock of the month lands Oct 6. The team says its October batch is going OTC to one institution, not the open market. Watch where those tokens go next. $SUI The network just crossed 6 billion transactions. Daily active users are now ahead of NEAR, TON and Arbitrum. Basecamp hits Singapore Oct 7 and 8. But funding rates are spiking. Crowded longs get flushed fast. $RENDER The quiet one. Still close to 90% below its all time high while AI compute demand keeps growing. More GPU revenue now routes into token burns, and Grayscale added it to its decentralized AI fund. If money rotates back into AI tokens, this is the laggard with the most room. My read: QNT has the strongest fundamental story but is the most extended. HYPE has the best token economics. SUI has the momentum. RENDER is the patience play. Which one are you holding?frozen21d ago14K16216140301.64%
These 4 altcoins are probably the only 4 altcoins id buy the dip on for the upcoming bull run $FET $PUMP $TAO $NEAR I repeat NOTHING else https://t.co/4o2z6juPj5frozen17d ago14K1431881291.47%
$0.042. That's what Jev costs per million input tokens. Output is free. Opus 5.5 costs $4. Nearly 100x the price. So why is Opus deciding which file to open? Let Jev make the small calls. Let Opus do the reasoning. Full architecture with code below. Save this. https://t.co/4WqScDHngnfrozen13d ago13K11829140401.51%
I gave Claude one reference video and a vibe. No footage. No After Effects. No stock music. Every frame is code. This is what came back: https://t.co/BXL1D98Ip0frozen19d ago13K871040351.03%
Most AI agents don't fail at the task. They fail the user. A plan you never saw. A silent spinner for 3 minutes. A file changed without asking. An action you can't take back. Here's how to master agent UX with Opus 5.5. 5 moments to design on purpose: 1. Clarify. Vague goal? Ask one sharp question before doing anything. 2. Preview. Show the plan before a single tool runs. 3. Gate. Deleting, sending, paying, publishing? Wait for a yes. 4. Stream. One status line per step. Never a silent spinner. 5. Undo. Every action gets a way back. The model is rarely the problem. The experience around it is. Bookmark this before you ship your next agent. Follow @cyrilXBT for more agent builds.frozen24d ago13K12621210631.76%
5 steps to build an AI UGC army for your app: 1. Mine your reviews → find the exact words users use 2. Write 20 hooks → Claude turns pain points into scripts 3. Generate creators → AI avatars film every script 4. Post and test → let the algorithm pick the winners 5. Scale the winners → double down on what converts One person. One afternoon. A content team's worth of output. Full workflow below. Save this.15d ago13K871620261.01%
this is the ai agent walkthrough i wish someone had handed me a year ago it takes you from zero to a working agent, start to finish i lost two weeks to trial and error on my first one with this, i would've shipped it in a day bookmark it before you scroll past: https://t.co/YtMjGM0OT7frozen4d ago13K164321601182.56%
DAY 1: Opus 5.5 knows nothing about you. DAY 7: It knows your stack, your style and your current project. DAY 30: It knows what you tried, what failed, what you decided and why. Same model. Same price. The only thing that changed is memory. And it compounds every session. Full system belowfrozen7d ago13K15125130221.65%
3 mistakes that make your coding agent expensive: 1. Letting it read the whole repo → pick the files first, then call Opus 2. Using one model for everything → route simple tasks to a cheaper worker 3. Retrying blindly → decide retry, rethink or escalate before trying again Fix all 3 and the same task goes from $6.42 to $2.00. Full architecture with code below. Save this.frozen10d ago13K12819150581.73%
5 signs your Opus 5.5 setup needs a memory system: 1. You keep a context.txt you paste into every chat 2. It suggests the fix you rejected yesterday 3. It forgets your writing style every session 4. Long sessions get worse instead of better 5. You've typed "as I said before" this week If you hit 2 or more, read this Write. Consolidate. Recall. Bookmark it.frozen7d ago13K14518120541.81%
JEV + SONNET 5.5 is INSANE The trick is 5 rules in your CLAUDE. md Connect Jev, then paste this: 1. Before each task, ask Jev to pick a work plan from the approved list: which model, which effort level, one agent or two. If Jev isn't confident, use the default plan. 2. Clear coding tasks: Sonnet 5.5, medium effort. Hard reasoning or strict JSON: raise the effort. 3. Only start a second agent for separate research or a review I asked for. Give it the task, the files, the limits, and what done looks like. 4. Do exactly what was asked. No extra features, files, tests, refactors or docs I didn't request. Only stop to ask me if you're blocked or about to do something that needs my approval. 5. Before saying you're done, run a test, build or type check that proves the change works. If nothing can run, say what's missing and why. Same task, two timers. Try it on your next session. follow @cyrilXBTfrozen22d ago12K10218130711.64%
Karpathy's whole point about AI agents fits in one line: put in as little as possible, get out as much as possible, and let it run without you. most people still do the opposite. they prompt, read, copy, paste, prompt again. [TOOL] built the go to market version of doing it his way. one prompt, and your browser starts working: finds leads researches every company on the list sources creators for your campaigns checks your inboxes updates your spreadsheets then it keeps going while you're doing something else entirely. that's a junior GTM hire's whole week. try it on your next campaign and tell me what it found follow @cyrilXBT https://t.co/m7RkT9tEYkfrozen27d ago12K8912140331.19%
This is literally EVERYTHING you need to know about Jev... https://t.co/VZBfMKCldbfrozen1mo ago12K1412650812.04%
Opus 5.5 is literally unfair when you give it the right SEO brief. Jev maps the competitors, missing topics, entities, headings, and search intent. Then Opus turns the strategy into content that actually has a chance to rank. Follow @cyrilxbt for more AI updates. https://t.co/aJ2JUlfWIgfrozen28d ago12K9011161411.28%
Probably when of the best setups i have seen out of all the other altcoins $TAO https://t.co/uC1OYlSyLvfrozen19d ago12K2512312062.40%
4 changes. Here's what each one saved on the same coding task: Smarter notes selection → 23.7% Decisions moved to Jev → 51.2% Proper recovery paths → 58.1% Routing to a fast worker → 68.8% $6.42 per task → $2.00. Each lever stacks on the last. Start with number 1 today. Full architecture with code below. Save this.frozen11d ago12K971450451.34%
4 decisions cut my coding agent bill by 68.8%. 1. Notes → what context does Opus actually need 2. Route → which tasks need Opus at all 3. Recover → retry, rethink or escalate 4. Tests → when to run them and which ones Jev decides all 4. Opus 5.5 writes the code. The harness enforces the rules. Full architecture with every prompt below. Save this.frozen13d ago12K10216171301.39%
STOP SHIPPING NEW AGENT LOGIC STRAIGHT TO PRODUCTION. Run it in shadow mode first. Your agent keeps working exactly like it does today. Jev answers every decision in the background. You log both answers. You act on neither. After a week you know exactly where Jev agrees, where it doesn't, and how confident it was. THEN you switch it on. Zero risk. Real data. Full rollout plan below 👇frozen12d ago11K1372350521.92%
WTF? opus 5.5 made this in 10 seconds I asked Claude to make the opening titles for an HBO documentary about Bitcoin. Like it was pitching to get HIRED. No After Effects. No stock music. Even the soundtrack is code. 15 seconds. Turn the sound ON. https://t.co/cKoI1tTnAKfrozen27d ago11K10012101451.49%
you’re paying Opus $20 per million tokens to answer yes or no questions most of an agent loop isn’t coding. it’s deciding. → Opus 5.5 plans and writes the code → Jev answers every yes/no, pick one, rank it → plain code acts on the probability → Opus only wakes up when Jev isn’t sure Opus writes. Jev decides. paste this into claude code 👇 claude plugin marketplace add typesafe-ai/skills claude plugin install typesafe@typesafe-ai Rebuild my agent loop as: Opus writes, Jev decides, code acts. 1. Find every place my agent asks a model a yes/no, pick one, or rank question (routing, "is this done?", "is this safe?", retries). 2. Replace each with one Jev call (model: jev-latest) that returns probabilities. Output is free, so ask all the questions in a single call. 3. Put the thresholds in plain code. Low confidence escalates to Opus 5.5, never down. 4. Log every Jev call and every escalation so I can see the savings. Show me the diff before changing anything.frozen12d ago11K12822180712.13%
A PROMPT WON'T MAKE YOU RICH. But this one will tell you exactly where your first dollar online comes from. It looks at your skills. Your free time. What people already pay for. Then gives you one offer, one price, and a 7 day plan to land your first customer. Not 50 ideas. One. Paste it into Grok Bot tonightfrozen6d ago11K17021132712.47%
Nobody talks about where coding agent money actually goes. It's not the code. Writing code is a small part of the bill. The rest is the agent: Reading files it didn't need. Deliberating over tiny choices. Retrying things that were never going to work. Fix the waste, not the model. That's the whole idea behind this architecture 👇frozen10d ago11K10424170261.53%
POV: you didn't buy a $10,000 course to learn about SEO it's FREE right here ⬇️ https://t.co/bLCgrvvurCfrozen28d ago11K841950491.42%
claude is literally an ALL in one solution right now. what a time to be alivefrozen13d ago11K91106141.02%
BEFORE: One model. One giant prompt. Responsible for everything. Nobody knows why it did what it did. AFTER: Opus 5.5 reasons. Jev decides. The harness enforces the rules. Every layer has one job. Every decision gets logged with a confidence score. Cheaper to run. Easier to debug. How to build it from scratch 👇frozen12d ago11K1221580341.64%
Hot take: Switching to a cheaper model won't fix your AI bill. It'll just make your agent dumber. The problem isn't which model you use. It's WHAT you're asking it to do. Most of an agent's calls aren't hard reasoning. They're small yes or no decisions. Move those to Jev. Keep Opus 5.5 for the hard stuff. Cheaper without getting dumber. How it works 👇frozen10d ago11K10122150131.38%
Nobody talks about where coding agent money actually goes. It's not the code. Writing code is a small part of the bill. The rest is the agent: Reading files it didn't need. Deliberating over tiny choices. Retrying things that were never going to work. Fix the waste, not the model. That's the whole idea behind this architecture 👇frozen11d ago11K9119101241.33%
In 14 minutes, this Anthropic engineer who wrote "Building Effective Agents" will will teach you more about building them properly than most developers ever uncover by themselves even after months. save this for the weekend, then dive into the builder’s guide below. https://t.co/awhmSaSiaQfrozen24d ago11K871380641.59%
Day 1 of mastering Sonnet 5.5 takes 30 minutes. Write this once and every answer gets better: What I do: Who I do it for: Tools I use every day: What good work looks like: How I like answers: Things I never want: Current projects: Paste it into a Claude Project. Done. That's day 1 of 30. The other 29 are in the article below. follow @cyrilXBTfrozen23d ago11K972082441.59%
YOU CAN MASTER SONNET 5.5 IN 30 MINUTES A DAY. Here's the whole plan: Week 1: Foundations. Your context file, the 5 part brief, prompts you can reuse. Week 2: Build. Claude Code, your first tool, tests, computer use. Week 3: Agents. API calls, prompt caching, tools, human checkpoints. Week 4: Ship. One real project, measured before and after, in someone else's hands. 30 days. One task a day. Every prompt is in the article. Save this and start tomorrow. follow @cyrilXBTfrozen23d ago11K661580201.03%
Best way to use this: 1. Browse the use cases 2. Paste the link into your agent 3. Ask it: "Which 3 of these fit my work? Set up the first one." Your agent finds its own job. Free, nothing paywalled. This is how you go from "I have an agent" to "my agent does things." https://t.co/hIMZEYXCubfrozen9d ago11K1081720221.40%
Your AI agent is paying 20x TOO MUCH to reread the same instructions. Every call, it sends your system prompt, your tool list and your project notes again. On Opus 5.5, fresh input costs $4 per million tokens. Cached input costs $0.20. Same tokens. 20x cheaper. The fix takes 5 minutes: Put everything that never changes at the TOP of your prompt. Mark it with cache_control. Put the part that changes every call at the BOTTOM. That's it. Your next bill will show the difference. Bookmark this before you forget. follow @cyrilXBTfrozen24d ago10K7714140431.42%
If your coding agent costs more than $2 per feature, read this. You're probably paying for 3 things you don't need: Opus reading every file in the repo. Opus making choices a $0.042 model can make. Simple tasks running on the most expensive model. Fix those 3 and the same agent drops from $6.42 to $2.00 per task. Full architecture with code below 👇frozen10d ago10K10917250311.76%
Your AI agent is BLIND. It can write code. It can plan. It can reason for an hour. But ask it what people on Reddit are saying about your product and it has nothing. Agent Reach fixes that. One install. Now it reads X, Reddit, YouTube, GitHub and any web page. No paid APIs. Almost 90K stars on GitHub. Bookmark this. Follow @cyrilXBTfrozen17d ago10K631660291.13%
How many subscriptions are you paying for that you forgot about? Most founders have at least one. Usually more. In this course, one Grok Bot checks every recurring charge each month. Flags anything unused, duplicated or recently raised. Drafts the cancellation or the negotiation email. You just approve it. On a $30 plan, it can easily pay for itself. Full course below. Bookmark this.2d ago10K10513162191.55%
i can't comprehend why everyone isn't building mods yet claude code can now build features into ITSELF live panes. status lines. toasts. hooks. all hot reloading while you work. → a cost meter that shows what this session is burning → a toast that pings you the second a long task finishes → a guard that blocks edits to your .env → a band that shows if your tests are passing claude writes the code. claude code runs it. paste this into your session 👇 "Look through my recent work in this project. List the 5 problems I hit most often. For each one, tell me if it should be a mod, a hook, a skill or a settings change, and why. Then build the top one."frozen18d ago10.0K10324161391.83%
POV: you're 6 months into your Opus 5.5 second brain "You have 1,200 notes. All linked." "These 14 ideas keep showing up together. Here's the pattern." "This idea has 23 links and you've never posted it." "Your thinking on pricing changed in June. Here's why." Day 1 it's a folder. Month 6 it's the smartest advisor you've ever had. Start today 👇frozen13d ago10.0K831391271.34%
3 steps give Opus 5.5 a memory that lasts: 1. Write → save what matters after every session, one subject per file 2. Consolidate → merge duplicates, update old facts, keep files small 3. Recall → load only the files the next task actually needs Recall costs about $0.00035 per request. Basically free. Full system with code and prompts below. Save this.frozen9d ago9.9K881181251.34%
POV: your coding agent decides which tests to run "Changed https://t.co/mCOK5fdMK7. Running the auth tests, not all 900." "Touched payments. Full suite. No shortcuts." "Docs only. Skipping tests." "Confidence 0.71 on skipping. Below 0.8. Running them anyway." Fast when it's safe. Paranoid when it isn't. That's Jev making the call. How to build it 👇frozen12d ago9.9K7611120231.23%
5 free GitHub repos that hand Claude a whole staff. Pick by who you are: IF YOU RUN A BUSINESS agency-agents → 170 agents organized like a company engineering, design, marketing, sales, support https://t.co/dlQ3rYqkI4 IF YOU WRITE CODE ALL DAY wshobson/agents → 200+ agents and 184 skills for Claude Code install only what you need https://t.co/sZAr4pBq7j IF YOU WANT ANTHROPIC'S OWN knowledge-work-plugins → sales, legal, finance, support, data https://t.co/phAfwnv4QC IF YOU LEARN BY TAKING THINGS APART claude-quickstarts → complete working agents you can run today https://t.co/E402ExEHli IF YOU WANT SENIOR ENGINEER HABITS agent-skills → specs, TDD, security review, CI/CD https://t.co/bONo0s9NJu Save this.frozen7d ago9.9K11023140962.46%
this is absolutely unreal jack dorsey's block just open sourced buzz, a free slack and github replacement where your ai agents sit in the channels next to your team no per seat pricing no vendor holding your data your server, your agents, your rules here's the setup: clone the repo host it yourself drop your agent into a channel lock its permissions down let the team steer it live [live star count] stars and climbing bookmark this before your next Slack bill follow @cyrilXBTfrozen26d ago9.9K8015192371.55%
Day 1 prompt: "fix the upload thing, it broke again" Day 30 prompt: the real error, the cause first, then a test that proves the fix. Same model. Completely different result. The difference is a prompt library. The 5 prompts I'd save in week 1: Plan first Explain this Fix with proof Review my diff Save what worked Add one every day and by day 30 you own something nobody can copy. Save this. follow @cyrilXBTfrozen21d ago9.9K651380191.07%
POV: you open your laptop and your inbox already sorted itself "23 captures turned into 31 clean notes." "Your pricing idea links to 4 notes from last spring." "2 notes need your call. Tagged #unsure." "Inbox: zero." You didn't touch a single folder. That's Opus 5.5 running your second brain. Full course below. Bookmark this.frozen15d ago9.8K66166080.98%
How much of your coding agent bill is Opus thinking about things that don't need thinking? Mine was most of it. Picking files. Choosing retries. Deciding when to run tests. I moved those 4 decisions to Jev. $6.42 per task → $2.00. Opus still writes every line of code. It just stopped deciding the boring stuff. Full build below. Bookmark this.frozen13d ago9.8K8918121191.42%
Welcome to the 2026 version of a solo company powered by AI agents. 6 agents. 20 scheduled tasks. 0 employees. Each position is just a folder. Each “hire” is a markdown spec. No standups. No Slack pings. No payroll cycles. Just a Mac directory that quietly runs the entire operation. More below.frozen1mo ago9.7K10819100381.80%
OPUS 5.5 + JEV IS THE BEST TRADING AGENT STACK I'VE SEEN. Not because it predicts the market. Nothing does that reliably. Because it splits the job correctly: Step 1: Opus 5.5 does the research. Filings, earnings calls, news, strategy code. Step 2: Your strategy generates a trade signal. Step 3: Jev scores every entry before it goes out: signal agreement, market regime, risk already on the book. Step 4: Anything below your confidence threshold never reaches the exchange. Step 5: Every decision gets logged with the reason, so you can see exactly why a trade was taken or killed. Research like an analyst. Risk checks in milliseconds. The whole system, codebase included, is in the article below. follow @cyrilXBTfrozen24d ago9.7K941452481.68%
HOW TO BUILD A WIKI THAT WRITES ITSELF IN 5 MINUTES. Step 1: Open Obsidian, create a vault Step 2: Open that vault in Claude Code Step 3: Ask it to make 2 folders sources → anything you drop in wiki → pages Claude writes and links Step 4: Ask it to write a CLAUDE. md with the rules Step 5: Drop in an article, a PDF, a transcript Type "add this to the wiki" Claude reads it, writes the pages, links them to everything you already know. Then ask questions across ALL of it. Bookmark this.frozen14d ago9.6K6811190471.51%
POV: you open a new Opus 5.5 session and it already knows "You prefer short answers. Answer first." "Last week we moved auth to sessions. Keeping that." "You tried caching here before. It broke the tests." "Your launch is Friday. Prioritizing that." You didn't paste any context. It recalled it. How to build memory that survives sessions 👇frozen8d ago9.6K10016140101.46%
the wildest part of this isn’t the price it’s that the work keeps going after you close your laptop. → 6am the research brief is already waiting → 9am every email has a drafted reply → 3pm the follow ups are written and sitting there for your approval Grok Bot runs on its own cloud computer. you just show up to say yes or no.2d ago9.4K12824123181.96%
How many warm leads did you lose this month because you forgot to follow up? Most solo founders don't lose deals to competitors. They lose them to silence. A Grok Bot checks your CRM every day. Spots the buying signals. Drafts the follow up. You approve it in 10 seconds. That one Bot pays for the whole $30 subscription. Full course below. Bookmark this.frozen4d ago9.4K11517192181.82%
How many tabs are open right now that you're "going to read later"? Be honest. You won't. Nobody does. Later never comes because nothing brings it BACK. A second brain with Opus 5.5 reads it, files it, and puts it in front of you the week it matters. Full course below. Bookmark this.frozen17d ago9.4K621690291.24%
Hot take: A bigger context window is not memory. It's a bigger desk. Everything still gets swept off the second the session ends. Real memory is files Opus 5.5 writes, cleans up and reads back. Small. Organized. Permanent. That's the difference between an assistant and a coworker. How to build itfrozen6d ago9.3K1061390111.49%
i can’t comprehend why people explain their codebase to Opus again every single morning Claude Code already has memory. most people just never run it as a system: → write: Opus saves every correction and decision as its own topic file → consolidate: an Opus subagent merges, dedupes and prunes them → recall: MEMORY.md loads at startup, topic files only when needed → the index stays short so nothing gets cut off Opus remembers. You stop repeating yourself. paste this into claude code 👇 ~/.claude/agents/consolidator.md --- name: consolidator description: consolidates auto memory. merges duplicates, prunes stale entries, keeps MEMORY.md a short index. model: opus tools: Read, Write, Edit, Glob, Grep --- You maintain this project's auto memory directory. 1. Read MEMORY.md and every topic file. 2. Merge duplicates into one file. Delete facts that are stale or contradicted by newer ones. 3. Rewrite MEMORY.md as an index: one line per memory, linking its topic file. 4. Keep MEMORY.md under 150 lines. Detail lives in topic files, never in the index. 5. Return a short list of what you merged, deleted and kept. Set up a write, consolidate, recall memory system for this project. 1. Make sure auto memory is on: "autoMemoryEnabled": true in ~/.claude/settings.json. Keep everything else in that file. 2. Create ~/.claude/agents/consolidator.md from the block above. 3. Add to CLAUDE.md: "When I correct you or we make a decision, save it to auto memory as its own topic file. At the end of a long session, run the consolidator agent." Show me the diff before changing anything.frozen8d ago9.2K13521222602.62%
RESEARCHERS JUST ANALYZED 2,170 GITHUB PROJECTS BUILT ON JEV. The first study of how people actually use it, from Sun Yat-sen University and CUHK. What they found: 1,865 new repos in the first week after launch, plus 305 existing projects that added Jev. 43,750 stars in that week alone. 77% use it to judge an attribute. Is this spam? Is this code risky? 52% use it to score or rank. 31% use it to pick the next action. 70% use it for two or more of those jobs. The pattern is obvious once you see it: most AI agents are full of tiny decisions that never needed an expensive model. Paper in the replies. Save this. follow @cyrilXBTfrozen25d ago9.2K842380201.47%
6,000 videos a month. That's 200 a day. No editing team. No 16 hour days. No burnout. Just a system that runs whether you're working or not. Here's exactly how we built it from 0. And how to automate the whole thing with Grok Bot. Full breakdown below. Save this. https://t.co/xlVeaxAm0nfrozen10d ago9.2K7013100141.17%
$TAO has to be the only crypto project with real motion rnfrozen23d ago9.1K1392314111.95%
POV: you wake up and your company already worked all night "3 decisions need you today. Here they are, in order." "Sales drafted 6 follow ups. Ready for approval." "Support answered 11 tickets. 1 refund flagged for you." "Your competitor raised prices yesterday. Here's what it means." One message from your Chief of Staff Bot. $30 a month. How to build it from scratch 👇frozen4d ago9.1K13420170232.13%
i asked opus 5.5 for a flight simulator over procedural mountains in one html file 321 lines. one prompt. one bug fixed by hand. nothing here was modeled. every peak, lake and tree is generated as you fly, so the world never ends bank left and dive toward the snow line. the mountains keep building in front of you follow @cyrilXBTfrozen27d ago9.1K7414101131.23%
this is pure f*cking GOLD how to ship your first ai agent (start-to-finish walkthrough) if i’d had this a year ago, my first agent would’ve been live by tomorrow instead of burning two weeks wandering in the weeds get it right, and the rules of the game change overnight https://t.co/NA5nTCHGmSfrozen14d ago9.1K1233160762.60%
BEFORE: Laptop closes. Work stops. Everything waits until tomorrow. AFTER: Laptop closes. Grok Bots keep working on their own computers. They ping you only when they need approval. Same $30 a month. Your company runs while you sleep. How to set it up 👇 https://t.co/Nn07adEcA12d ago9.0K6768140.95%
this is the SEO course people pay $10,000 for. mine's free. 11 modules on using Opus 5.5 to learn SEO from scratch: 15 copyable prompts 2 scripts that audit your site and pull your Google Search Console data keyword research that won't invent search volumes topical maps, briefs and internal links how to get cited in AI Overviews and ChatGPT a 30 day plan to go from zero to running it yourself bookmark it before you pay anyone for SEO follow @cyrilXBTfrozen25d ago8.9K791391271.45%
BEFORE: Blank page. 2 hours per post. Same 3 ideas on repeat. AFTER: /draft Your best ideas pulled from months of notes. Every line traced back to a source. Same brain. Finally put to work. The difference is Opus 5.5 reading everything you ever wrote down. How to build it from scratch 👇frozen16d ago8.9K641230111.02%
POV: it's Sunday and Opus 5.5 hands you your weekly review "You spent 4 days on something that isn't in your top 3 priorities." "You've mentioned this idea 7 times. Ship it." "A note from June answers the question you asked Tuesday." "2 people are still waiting on replies from you." That's not a notes app. That's a chief of staff. How to build it in under an hour 👇frozen17d ago8.8K821290161.35%
this is the fastest SEO win nobody talks about your next 1,000 visitors are probably already sitting on page 2 of google open search console. filter for keywords where you rank 8 to 20 with 100+ impressions those are pages google already thinks are relevant. they just need a push: → a better title → one missing section → 3 internal links pointing at them opus 5.5 does the whole analysis in minutes. the script and prompt are in the course below save this before your next content sprint follow @cyrilXBTfrozen25d ago8.8K761430361.47%
STOP USING CLAUDE LIKE A GOLDFISH. Every chat starts from zero. You explain who you are. What you're working on. What you already tried. Again. And again. Give Opus 5.5 a second brain and it already knows. Every note you've written. Every decision you've made. Every idea you've had. You never start from a blank chat again. How to build it 👇frozen14d ago8.8K8521122251.66%
Where do you find out exactly what to build next? Your competitors' 1 star reviews. Their unhappy customers are telling you, in public, what's missing. In this course, one Grok Bot reads those reviews every month. Pulls the top 5 complaints. Tells you which ones you already solve. And which ones you could. Free product research and marketing copy, on a $30 plan. Full course below 👇1d ago8.7K90115051.28%
A $200 CLAUDE CODE PLAN CAN BURN THROUGH ABOUT $9,000 OF OPUS 5.5 A MONTH. One developer maxed out 3 accounts since Opus 5.5 launched and priced the usage at API rates: $2,086 $2,442 $2,182 That's about $2,200 of Opus per account, per week. Times 4.3 weeks, that's roughly $9,500 a month in API value, for $200. Subscriptions are the most underpriced thing in AI right now. follow @cyrilXBTfrozen24d ago8.7K75137171.19%
someone built an open source version of Jev, and the small model runs right in your browser it's called Open Jev. independent research, code on GitHub under MIT paste in text or a CSV, name your categories, and it sorts every row. no code on its public benchmark it gets 197 out of 231 tasks right. the paid Jev gets 200 three points behind, for $0 try it on the 300 comments or emails you've been meaning to sort follow @cyrilXBTfrozen26d ago8.7K7216110211.39%
8 folders. That's the entire second brain. 00 inbox → everything new lands here 10 projects → things with a finish line 20 areas → things you maintain forever 30 resources → topics you're learning 40 archive → never delete, just archive 50 daily → one note per day 60 outputs → what you made from it all _system → the rules that run it Opus 5.5 decides where every note goes. You just capture. Full setup below. Save this.frozen16d ago8.6K811170391.60%
With a single prompt, the Jev + Claude Code stack can make AI agents 200× faster and 400× cheaper. The secret: agents that run wide not long. I broke down the complete system in 3 visuals. Save this. You’ll want it later. Follow @cyrilxbt for more AI updates. https://t.co/In1Hhud2B4frozen1mo ago8.6K9421150432.01%
Sonnet 5.5 is actually INSANE and FAST!! Three objects on a table. A sneaker, a phone and a brick. Real or cake? Guess before the knife comes down. Then look at the table. https://t.co/6DGRqbc6ezfrozen24d ago8.6K681231131.13%
5 minutes a day. That's all a second brain with Opus 5.5 takes. Morning → type /process, inbox hits zero All day → capture anything, no filing Evening → dump the day into your daily note Sunday → /review tells you what you forgot No templates. No tagging marathons. No guilt. Full setup below. Save this.frozen14d ago8.6K841590151.44%
Coding agents are a while loop around a model and a handful of tools. That's it. That's the whole secret. And almost nobody has rethought that loop since it was invented. Someone just compiled a working note built on design notes from Diogo Almeida, the founder behind Jev, and it asks one question that breaks everything: How would you build a coding agent if models had NO KV cache? Answer it honestly and 6 things every agent does today start looking wrong. Routing that loses money. Tool calling that floods the context. Compaction that compresses blind. Sub agents that barely ever fire. Restarts that throw away state. And the endless "batteries included" debate. The alternative is a harness built around explicit state. Every tool call, diff, user turn and AGENTS.md file stored as typed, addressable chunks. Then Jev answers the small questions every single turn. Which chunks do I show? Reuse the cache or not? Which model gets this? Which tool? Is this command allowed to run? Frontier model only when it's needed. Sub agents, cheap open models and background reviewers for everything else. Hundreds of tools, shown snippet first, full schema only on demand. This is the clearest picture I've seen of where coding agents go next. Save this. Read it twice. follow @cyrilXBTfrozen29d ago8.5K9020280281.95%
Textbook reminder not to get rattled by a tiny pump. Still bearish. The bulls will return just not yet. $BTC https://t.co/SOQ2hgV5xUfrozen22d ago8.5K52106010.81%
INSANE SEO starts before you write a single sentence. Jev finds the search intent, clusters the keywords, and shows Opus 5.5 exactly where the opportunity is. Most people publish content. Experts build the map first. Follow @cyrilxbt for more AI updates. https://t.co/JU7DIoxY5efrozen28d ago8.5K761251171.31%
opus 5.5 is f**king insane paste this into Claude Opus 5.5 and let it spin up the agents, prompts, and workflows for you. grab it now before it becomes everyone’s default playbook: https://t.co/9NbbzwidhS3d ago8.4K10812141301.96%
your AI agent isn't running on one model. it's running on five or six, and you're probably paying for every one of them separately. one to embed your docs one to rerank search results one to turn PDFs into text one to check for unsafe content one to actually think and call tools five APIs. five bills. five things that can go down. Superlinked just open sourced SIE, one server that runs all of it on your own hardware or your own cloud. 85+ models behind one API. the part i like most: models load when you call them and get kicked out of memory when you stop, so you're not paying for a GPU to babysit a model nobody's using. and it ships the production stack too. load balancing, autoscaling all the way down to zero, Grafana dashboards, Terraform for GKE and EKS. Apache 2.0. free. don't migrate everything at once. start with embeddings. the endpoint is OpenAI compatible, so it's close to a one line swap. then move the next model once that's stable. every model you move over is one less bill. repo in the replies. bookmark this. follow @cyrilXBTfrozen27d ago8.3K672011091.28%
most people will read this and think it’s about a cheaper model it’s not. it’s about which questions deserve a model at all → “which tier takes this?” doesn’t need Opus → “is this command safe?” doesn’t need Opus → “is it done?” doesn’t need Opus that’s most of your agent loop. Opus plans and writes the code. Jev answers everything else for $0.042 per million tokens.frozen10d ago8.3K1212490412.35%
Can your coding agent explain why it did what it did? Most can't. It read 30 files. Why? It retried 4 times. Why? It skipped the tests. WHY? When Jev makes the decisions, every one gets logged. The question it asked. The answer it chose. How confident it was. Cheaper agents are nice. Agents you can debug are better. Full architecture below 👇frozen9d ago8.3K7714121201.50%
POV: your coding agent finally has a decision layer "Test failed. Retry with more context. Confidence 0.87." "This task is simple. Routing to the cheaper path." "Confidence 0.54. Escalating to a human." "Only these 3 files matter. Skip the other 40." That's Jev deciding. Opus 5.5 only gets called for the hard part. How to build it from scratch 👇frozen12d ago8.3K641370141.19%
POV: you didn't buy a $10,000 course to learn about SEO it's FREE right here ⬇️ https://t.co/mtoKe10t4Ofrozen21d ago8.2K55861110.98%
POV: you spent $0 to create a marketing video for your vibe coded app with opus 5.5 It took about 10 mins https://t.co/i4jH13p0EZfrozen22d ago8.2K671190111.19%
If you aren’t buying $TAO atm idk what to say Accumulating this every single day Life changing money is coming our way The crypto god’s told me to do it We are so fuc*ing backkk https://t.co/zwJFBkkmKnfrozen20d ago8.2K1732322442.75%
the step everyone will skip in this is the one that matters most consolidation. Claude Code only loads the first 200 lines of MEMORY.md at startup → never clean it up and the index keeps growing → everything past line 200 stops loading → Opus quietly forgets the exact things you saved a memory you never prune is a memory you lose. one Opus subagent pass keeps it under 150 lines.frozen8d ago8.0K11414251322.32%
STOP LETTING OPUS 5.5 MAKE EVERY DECISION. Which file to read? Which model to route to? Retry or give up? Run the tests or skip? Those aren't reasoning problems. They're DECISIONS. Jev makes them for $0.042 per million tokens. Opus does the hard thinking. Same agent. Almost 70% cheaper. Full architecture below 👇frozen13d ago8.0K781470201.48%
I built agents that run 200x faster and 400x cheaper than the standard Claude Code loop. Best case, not average, on the tasks where a $9 model was doing $0.0004 work the entire time and nobody noticed. Split reasoning from decision making. Let Claude Code write. Let Jev decide. From scratch, the whole architecture is below. follow @cyrilXBTfrozen1mo ago8.0K7812131331.71%
seo + opus 5.5... i can't comprehend why more people aren't doing SEO this way yet it's the first model i'd trust with both halves of the job, the analysis and the writing → turn a messy keyword export into lists you can actually rank for → find the pages already sitting in positions 8 to 20 on Google → audit your whole site with a 40 line script → write briefs and pages that don't read like AI opus does the thinking. your Search Console data keeps it honest. i put the full course in the article below follow @cyrilXBT26d ago8.0K741150271.47%
GPT 6.1 Sol did NOT crush Opus 5.5. It did something worse. Terminal Bench Science: Opus 5.5 scored 63.3% for $23.21. Sol scored 57.0% for $5.47. 6 points behind. 4x cheaper. So here's the real question: Would you pay 4x more for 6 points? Most companies won't. That's the fight now. Follow @cyrilXBTfrozen16d ago8.0K66117161.14%
You don't need a content team anymore. You need a content FACTORY. 10 open source repos, one for every stage: RESEARCH → Social Media Research Skills: viral posts, competitor hooks, comment mining → Local Deep Research: any topic into a full report CREATE → OpenCreator: scripts, images, voiceovers and edits in one workspace → FLUX.2: thumbnails and social graphics → Kokoro: scripts into voiceovers → ACE-Step 1.5: music from a text prompt PRODUCE → Short Video Factory: batches of shorts from prompts and footage → AI YouTube Shorts Generator: long videos into vertical clips → Podcastfy: any source into a podcast episode DISTRIBUTE → Social Media Agent: a URL into X and LinkedIn posts, reviewed and scheduled All free. Links below 👇 Which stage would you automate first?frozen5d ago7.9K9610101371.96%
8 Bots run my one person company setup: Chief of Staff → one morning brief, decisions first Research → tracks competitors with sources Content → drafts a week of posts every Monday Sales → catches every lead going cold Support → drafts every reply, flags refunds Money → finds subscriptions you forgot about Engineer → watches coding agents, you merge QA → tests every fix in a test account All on one $30 plan. Full course with every prompt below. Save this.frozen3d ago7.8K10717142242.09%
seo + opus 5.5... i can't comprehend why people are still paying for SEO courses i put the whole thing in a free repo instead → keyword research that won't make up search volumes → a site audit script you run in one command → briefs built from what's already ranking → how to get quoted in AI Overviews and ChatGPT opus does the thinking. your own data keeps it honest. repo in the replies. bookmark it follow @cyrilXBTfrozen26d ago7.8K6616110291.57%
One year ago today, Bitcoin hit its all time high. $126,080. Today it's sitting at $85,900. Down 32% from the top. And it just got rejected at $87K for the fourth time in three weeks. ETFs flipped to outflows. Citi, Standard Chartered and Bernstein all cut their targets. Meanwhile small caps are pumping while BTC goes nowhere. The line in the sand: Above $87K, bulls are back. Below $84K, $80K is next. Happy anniversary, I guess.frozen16d ago7.8K6888021.11%
What job do you do every week that a team of AI agents could do for you? Tell Opus 5.5. That's it. It decides how many agents you need. Writes every agent's instructions. Maps who hands off to who. Flags where a human must approve. Then gives you a 7 day plan to launch it. One prompt. Copy it below 👇frozen13d ago7.7K11419100332.27%
For jev-requote.png: your coding agent is paying Opus prices to answer yes or no questions look at the loop. Opus plans. Opus writes the code. then Opus gets asked “which tier?” “is this safe?” “is it done?” over and over those aren’t coding questions. they’re decisions. → Jev answers them in ~300 ms → at $0.042 per million tokens, output free → when it’s unsure, it hands back to Opus LLM writes. Jev decides. Code acts. bookmark this before your next API bill 🔖frozen10d ago7.7K8617210181.84%
EVERY AI AGENT YOU BUILD IS A NEW WAY INTO YOUR SYSTEMS. It reads your email. It runs commands. It clicks links. It holds your API keys. That's why security is becoming the most valuable skill to pair with AI. This month is a free way in: Learn how prompt injection works. Learn how to lock down an agent's permissions. Learn where your keys and data actually go. Free events and credentials all October. Worth an hour a week. follow @cyrilXBTfrozen21d ago7.7K691591101.35%
i'm cancelling most of my software subscriptions soon... not because they're bad because i use ONE feature from each and AI can build me that one feature in an afternoon here's the play: > list every subscription you pay for > write down the one thing you actually use it for > describe how that feature works from the outside > have your agent build your own version from scratch > host it yourself for almost nothing you're paying for 50 features to use 1 most people never do the math here's exactly how i set it up 👇18h ago7.7K11433121432.65%
How do you get 10M+ views a month without filming a single video? Slideshows. Simple carousels on TikTok and Instagram. The kind people swipe through to the end. We built a whole farm of them. Claude writes the hooks. Builds the slides. Schedules the posts. Learns what worked and makes more of it. Here's the full system, step by step 👇 What niche would you run this in?1d ago7.7K83106181.41%
POV: you built a second brain with opus 5.5 and making $10k/month https://t.co/Ox2kO10JKnfrozen14d ago7.6K731070111.32%
September 12: Dario Amodei tells the whole AI industry to slow down. 10 days later September 22: Anthropic ships Claude Opus 5.5. https://t.co/XJlsfTlCx6frozen1mo ago7.6K75103011.17%
this is f*cking insane... Jensen Huang: Nvidia's Future, Physical AI, Rise of the Agent, Inference Explosion, AI PR Crisis. Token/employee allocation discussion starts around the 20:48 mark. He argues that a $500K engineer should consume at least $250K in tokens annually (otherwise he’d be “deeply alarmed” or “go ape”), compares it to a chip designer refusing CAD tools, and notes NVIDIA is trying to spend heavily on tokens for its engineering team. https://t.co/nifUqVcOQjfrozen8d ago7.6K72124041.21%
Jev is literally the FASTEST model ever built I built a stack that runs agents 200x faster and 400x cheaper than the standard Claude Code loop. Not average. Best case, on the tasks where a $9 model was doing $0.0004 work the whole time. Split reasoning from decision making, put Jev in front of every classify, route, or approve call, and only let Claude Code touch the tasks that actually need it to write something. How to build it from scratch, the full architecture, the PR review example that dropped from 24 seconds to 11.8, the exact confidence thresholds I use. Full breakdown below. follow @cyrilXBTfrozen29d ago7.6K7411252161.69%
THE NEW HAIKU IS NOT A SMALL MODEL ANYMORE. Haiku 4.5 scored 15.7% on OSWorld. Haiku 5.5 scores 72.4%. At $0.10 per million input tokens. That changes how you build agents. Your expensive model shouldn't be reading files. It shouldn't be running searches. It should be PLANNING. Let Opus 5.5 orchestrate. Let 10 Haiku 5.5 subagents do the work. Faster because it's parallel. Cheaper because it's Haiku.frozen15d ago7.5K71155191.34%
Working with Opus 5.5 without memory is like hiring a genius with amnesia. Brilliant every morning. Remembers nothing from yesterday. You spend the first 20 minutes of every day re-explaining the job. Fix the amnesia. Let it write down what it learns. Let it clean up its own notes. Let it read them back tomorrow. Same genius. Now it remembers. Full build below 👇frozen9d ago7.5K8114100161.61%
The actual upgrade isn’t restarting your entire agent every time one step fails. Jev isolates the broken node, Claude Code patches only that part, and the rest of the workflow keeps moving. Less wasted compute. Faster agents. Cleaner results. Follow @cyrilxbt for more AI updates.frozen29d ago7.5K68914041.27%
Chat history vs real memory: Chat history → everything, unsorted Real memory → only facts worth keeping Chat history → grows forever Real memory → consolidated and kept small Chat history → reread every time Real memory → recalled only when relevant Chat history → anyone can overwrite Real memory → version checks and path guards One makes Opus 5.5 slower. The other makes it smarter. Build the second onefrozen7d ago7.5K841890151.68%
A real trading desk has 4 teams. You can build all 4 with free GitHub repos. THE DATA CCXT MCP → Claude reads prices and candles from Binance, Coinbase, Kraken, Hyperliquid https://t.co/8Pa3leBDx1 DexPaprika MCP → live DEX, pool and token data across 36 chains https://t.co/5Ca6UrDEHb THE ANALYSTS TradingAgents → AI analysts, researchers and risk managers debate every trade https://t.co/OR2pmPXT1j THE PRACTICE FLOOR Crypto Claude Desk → a multi agent desk inside Claude Code, paper trading only https://t.co/N7deSfpiXM THE ENGINE Freqtrade → battle tested bot with backtesting and dry run mode https://t.co/UUqGPdmMlR Backtest first. Paper trade second. Real money last.frozen5d ago7.5K8711280161.90%
most people will read this and think it’s about a chatbot it’s not. it’s about an org chart with one human on it → a research bot that watches your market → an inbox bot that drafts every reply → content, sales and ops bots in the same group chat, passing work to each other you decide. you approve. you sell. the rest of the company costs $30 a month.2d ago7.5K97185051.67%
STOP STARTING FROM A BLANK PAGE. You've already written the post. It's scattered across 40 notes you forgot about. Opus 5.5 finds them. Pulls your best lines. Builds the draft in YOUR voice. Marks anything it added so nothing slips in. You never write from zero again. How to build it from scratch 👇frozen16d ago7.4K651130121.22%
I GAVE MY GROK BOTS ONE RULE. "Make back what you cost or you're fired." So I built a team of 3 in one group chat: Radar → reads every post in my niche on X and Reddit, never touches drafts Writer → turns each idea into a reply, a post and a page Skeptic → wakes up every night and hunts what's stuck, stale or unapproved The rules that keep them honest: → I approve a draft, it ships → no price on a draft, Skeptic tags me instead of guessing → an idea sits 7 days without moving, it's dead Radar finds. Writer builds. Skeptic doubts. Prompt below16h ago7.4K8210120201.68%
this could be the one prompt that unlocks premium motion graphics in Claude Opus 5.5. this prompt runs it like a studio: → studies your references frame by frame → storyboards before it animates → builds every scene in GSAP and Three.js → renders, watches and critiques each section → won't stop until the video passes its own quality check the critique loop is the whole secret. most AI animations look cheap because nothing ever reviews them full prompt and the open source motion kit belowfrozen22d ago7.4K781081231.63%
SEO isn't dead. but the version most people learned is. Pew found that people click a normal search result about half as often when there's an AI summary on the page. so now there are two scoreboards: ranking on Google, and getting quoted inside the AI answers. most SEO courses still only teach the first one. i wrote a free course on doing both with Opus 5.5. disagree? tell me why below.26d ago7.3K751220091.59%
Why does Claude give you generic answers? Because you gave it a generic job. It doesn't know your industry. It doesn't know how you write. It doesn't know what you've already tried. 300 IQ with zero context still gives you average work. Fix the context and the same Claude starts sounding like a 10 year veteran in your field. Full guide below. Bookmark this.frozen9d ago7.3K85980331.85%
Two AI coins. Two very different stories. $NEAR Bottomed near $0.84 in February. Traded around $5 by late September. That's roughly a 6x in 7 months. NEAR Intents has now processed over $30 billion in volume across 35 chains. Inflation got cut in half to 2.5%. And protocol revenue now flows into NEAR buybacks. $TAO Same 21 million max supply as Bitcoin. Only about 11.6 million in circulation. Still trading around $300 while subnets keep shipping real AI work. One already ran. One is still waiting. Which one are you holding? 👇frozen8d ago7.3K94217261.78%
When was the last time you changed your mind about something important? You probably don't know. Because nobody tracks how their thinking evolves. Opus 5.5 does. It found a note where I said "never discount" in March. And another where I said discounts doubled conversions in August. Same person. Different brain. Now I can SEE my thinking change. Full course below 👇frozen14d ago7.3K681560111.38%
Most agent stacks pay frontier prices for questions that only ever have 3 possible answers. Mine doesn't anymore. 200x faster, 400x cheaper, best case, by moving every classify and route call off Claude Code and onto a model built to just decide instead of explain. The full breakdown, PR review example included, is below. follow @cyrilXBTfrozen1mo ago7.3K65970111.27%
YOU DON'T HAVE TO PICK ONE AI MODEL. Cline is an open source coding agent that works with ANY of them. Claude. GPT. Gemini. Local models on your own machine. It edits multiple files, runs commands, and uses the browser. Inside VS Code or straight from the terminal. Bring your own key. Switch models whenever you want. 70k+ GitHub stars. Zero lock in. https://t.co/N1bqt3jTogfrozen6d ago7.2K8611161121.74%
Closed source is dead YOUR APP'S SOURCE CODE IS NO LONGER A SECRET. A new open source tool called REA lets Claude Code and Cursor take any app apart. Native apps. Electron apps. Android APKs. Firmware. Websites. Ask how a feature works. It decompiles, traces the logic, and shows the evidence behind every claim. Then it rebuilds that feature in your own stack. It just hit #1 on GitHub. Closed source used to mean protected. Now it just means slower to copy. https://t.co/zqsoZw15akfrozen11d ago7.2K12017151562.91%
this is the guide i wish existed when i built my first agent. How to build an AI agent from scratch, with Jev doing the decision making. Most agent tutorials teach you to call a frontier model for everything. Every route. Every yes or no. Every "which tool next." That's why your first agent is slow and your API bill looks like a car payment. This one does it the other way. Big model writes. Jev decides. Your code makes the final call. Faster. Cheaper. And way easier to debug, because every decision comes back typed with a confidence score instead of a paragraph. If you've been waiting for the right moment to build your first agent, this is it. Save this. follow @cyrilXBTfrozen29d ago7.2K9314122612.53%
ONE AGENT FAILS AND THE REST OF YOUR PIPELINE DOESN'T EVEN NOTICE. That's what self-healing agent infrastructure looks like, and Jev is the piece that makes it cheap enough to run on every failure. Here's how it works: Step 1: Every agent saves a checkpoint of its state after each step. Step 2: When one fails, the orchestrator isolates it. Every other agent keeps running. Step 3: Jev reads the error and picks the fix from a fixed list: retry, reinstall, fix the path, switch tools, escalate or stop. Step 4: The agent restores from its last checkpoint and runs the fix. Step 5: If Jev isn't confident, it hands the problem to your big model or to a human. It decides in milliseconds, for a fraction of a cent. No restarting the whole workflow. No paying Opus to read a stack trace. Save this. follow @cyrilXBTfrozen25d ago7.2K731470211.61%
The 5 lines every CLAUDE. md needs. Copy them in 10 seconds: 1. "Build with: [your build command]. Test with: [your test command]." → So Claude stops guessing how to run your project. 2. "Run the tests before you say anything is done." → "Done" should mean working, not written. 3. "Only change what I asked for. No surprise refactors." → One bug fix shouldn't touch 14 files. 4. "Ask before deleting files or touching anything outside this repo." → The one rule that saves you from a very bad day. 5. "If you're not sure, say so. Don't guess." → A confident wrong answer costs more than "I don't know." 5 lines. Fewer bugs. Fewer surprises. Fewer wasted tokens. Bookmark this.frozen6d ago7.1K901261281.92%
Inflation just came in hotter than expected. 3.7% vs 3.6% forecast. Bitcoin's reaction: Opened near $83K. Tagged $84K. Now sitting around $81.7K. But the real story isn't the price. Earlier this week, markets saw about an 80% chance the Fed would NOT hike in October. After this report, the odds of a hike are roughly 50/50. Rate hikes drain liquidity. And $BTC runs on liquidity. Levels I'm watching: $80K is the line bulls have to defend. Lose it, and $77K comes into play. Hold it and reclaim $84K, and this was just noise. 👀frozen8d ago7.1K83174001.47%
GOOGLE JUST WIPED OUT A SITE THAT RANKED FOR OVER 200,000 SEARCHES. It was one of the sites hit by the August spam update: thousands of pages, mass produced, stuffed with AI filler. Recovery takes 3 to 5 months, if it happens at all. This is why "just publish 10,000 AI pages" is the worst SEO advice on the internet right now. AI isn't the problem. Using it with zero judgment is. I wrote a free course on using Opus 5.5 for SEO the way that doesn't get you wiped out. Below.frozen25d ago7.1K711571181.59%
WT*? Scammer Altman is trying to scam us AGAINNNfrozen25d ago7.0K5774041.03%
You're paying Opus prices for work Sonnet 5.5 does just as well. Sonnet 5.5 launched yesterday. On Terminal Bench it BEAT Opus 5.5: 70.6% vs 66.4%. On computer use it's within 2 points. And it costs HALF as much. The fix takes 30 minutes a day for 30 days. I mapped out every day, prompts included. Start with Day 1 tonight. Bookmark this. follow @cyrilXBTfrozen23d ago7.0K72112071.32%
If I could only hold two AI coins, it would be $NEAR and $TAO. They solve two different halves of the same problem. $TAO is where AI gets built. Bittensor rewards people for supplying compute and real AI work through subnets. Only about 11.6M of 21M tokens are circulating. Same max supply as Bitcoin. $NEAR is where AI agents spend money. NEAR Intents has moved over $30B across 35 chains. Revenue now goes into NEAR buybacks, and inflation was cut in half. One builds the intelligence. The other gives it a way to act. NEAR is around $5 today. TAO is around $270, lower than it was two weeks ago. I'm watching both closely. 🧠frozen7d ago6.9K1001570101.91%
The one thing most people ignore on a crypto chart: Volume. Price tells you where the market went. Volume tells you if anyone actually believed it. $BTC is up 17% since August 20. Volume is down about 30% over the same stretch. One of these is lying to you. https://t.co/lyUPCE70oLfrozen17d ago6.9K74169101.45%
the sonnet 5.5 launch numbers nobody's talking about → box: work done 2.4x faster with 12% fewer tokens → balyasny: 121k tokens per answer, down from 497k on sonnet 5 → base44: 3.6 build attempts per app vs 7.7 on opus 5 → zendesk: support tickets processed 20% faster the win isn't just the price per token. it needs fewer tokens and fewer retries to finish the same job i wrote the 30 day roadmap to put it to work. link below follow @cyrilXBTfrozen23d ago6.8K69115161.36%
Every DePIN eventually has to answer one question: Will anyone actually pay for what it produces? @Natixnetwork just answered it. A Unicorn AI lab building general world models signed a six figure deal for 3,000 hours of NATIX driving data. Footage collected by everyday drivers. Bought by a lab teaching AI how the physical world moves. Data sale revenue flows into the $NATIX buyback and burn. Real supply. Real demand. Real revenue.frozen15d ago6.7K53911011.11%
Definitely of when you make profit in the trenches you take it and enjoy From 490k to 99k @brezscales https://t.co/nrW83umFs9frozen6d ago6.7K6499011.24%
I built a Shopify popup that doesn't beg for your email. It tells a short story first, then asks. Every signup gets its own discount code, so you can see exactly which orders it brought in. The popup that proves it paid for itself. https://t.co/wTvR0QtYs5 https://t.co/MJBMlXZsLS26d ago6.7K60105141.20%
Software is dead. Not the code. The MOAT. If AI can study your product and rebuild a better one in a weekend, your codebase was never the advantage. What survives: Distribution. Trust. Data nobody else has. Speed. Build those or get copied.frozen10d ago6.7K70710121.35%
the AI race explained in 89 seconds three CEOs, one stage, zero new answers wait for the server rack https://t.co/NrF15UclQzfrozen27d ago6.7K701110351.49%
i replaced a marketing team with Grok 4.7 and a few agents. Research. Copy. Content calendar. Post analysis. Each one its own agent, each one handing off to the next. The part that made it work wasn't the prompts. It was the price. $2 per million tokens in. $6 out. At that price you stop babysitting every call and just let the agents run all day. Full workflow below, from scratch, every agent and every handoff. Save this before you hire anyone.frozen28d ago6.7K761250221.73%
OCTOBER 2023: Claude 2. A chat box. You paste text, it answers. OCTOBER 2026: Opus 5.5. Writes and ships code in Claude Code. Runs agents while you sleep. Same company. Different universe. 3 years. Imagine the next 3. https://t.co/Cm2r7mchH5frozen17d ago6.6K72159031.49%
your users are asking the same question 40 different ways, and you're paying your LLM to answer every single one from scratch. "How do I reset my password?" "Forgot my login, help" "Can't get into my account" Same answer. Three full model calls. Normal caching can't catch this. It only works when the text matches exactly, character for character. Semantic caching matches on MEANING. A question comes in. It gets turned into an embedding. The cache checks if you've already answered something close enough. Hit? The saved answer goes back instantly. Zero LLM call. Miss? The model answers, and that answer gets saved for next time. Redis now runs this as a managed service called LangCache. No extra database to deploy, TTL and eviction handled for you. They're claiming cache hits up to 15x faster and big cuts to your API bill. But here's the part nobody's posting about. The similarity threshold is where this breaks. Set it too loose and "how do I rotate my API key" returns the answer for "how do I revoke my API key." Close in meaning. Very different outcome. So start strict. Log every hit for a week. Loosen it only where you've checked the answers are actually interchangeable. Your savings depend on how repetitive your traffic really is. Support bots and internal docs assistants win huge. Creative or one off queries barely move. Check your logs before you check the pricing page. follow @cyrilXBT https://t.co/tQmQCsxVlofrozen29d ago6.6K6210100121.43%
10 AI textbooks. $0. Written by the researchers who BUILT the field. Most are published by MIT Press. All free to read online. FOUNDATIONS 1. Foundations of Machine Learning (Mohri et al.) 2. Understanding Deep Learning (Simon Prince) 3. Machine Learning Systems (Harvard, open source) 4. Deep Learning (Goodfellow, Bengio, Courville) DECISIONS + REINFORCEMENT LEARNING 5. Algorithms for Decision Making (Kochenderfer et al.) 6. Reinforcement Learning (Sutton and Barto) 7. Distributional Reinforcement Learning (Bellemare et al.) 8. Multi Agent Reinforcement Learning (Albrecht et al.) PROBABILITY + FAIRNESS 9. Probabilistic Machine Learning (Kevin Murphy) 10. Fairness and Machine Learning (Barocas, Hardt, Narayanan) Links in the reply 👇 Bookmark this. Follow @cyrilXBT for resources that actually compound.frozen15d ago6.6K6513101281.78%
1Win just opened its $1W token sale @1winToken Most crypto projects launch a token and then try to build a business. Sale is live: https://t.co/kS5EQ9v9Ye 1win did it the other way around. Running since 2016, reporting $140M in monthly onchain deposits, and that's before their fiat business. The setup: $0.03 per token $30M FDV Only about $3.9M in the sale 100% unlocked at TGE 10% of revenue from $1W gameplay goes to weekly buybacks, plus a daily burn on tokens spent Oversubscription model, so no bot race. Extra USDC gets refunded. Audited by CertiK and Halborn. Real business first. Token second.frozen7d ago6.6K95147001.77%
unpopular opinion: computer use agents are about to matter more than coding agents. coding agents only help people who write code. an agent that can use a desktop helps everyone who does anything on a computer. Cua just open sourced the whole stack. sandboxed desktops, macOS VMs for testing, SDKs, and benchmarks to measure how well your agent actually performs. it's trending on GitHub for a reason. agree or disagree? follow @cyrilXBTfrozen27d ago6.5K661117171.56%
$0. That's what it costs to prototype your next AI app. 1 repo. 29k+ stars. Dozens of free LLM providers. Every rate limit listed. Prototype on Groq for speed. Test on Google AI Studio for long context. Switch models on OpenRouter with one line. Ship first. Pay later. Save this. https://t.co/mHKaFemM2tfrozen15d ago6.5K771370161.73%
All you need to make life changing money in 2026 https://t.co/u6r0M0swXufrozen20d ago6.5K6182081.21%
Grok 4.7 just quietly beat models that cost 5x more. $2 per million input tokens. $6 output. Same price as 4.6. Same speed as 4.6. And it's now landing 64% on EEBench, 71% on DeepSWE, 1657 on AA Briefcase. GPT 5.6 Sol Max costs $4 in, $20 out and still loses to it on electrical engineering and multi hour office work. Fable 5.1 Max costs $10 in, $50 out, 5x the input price, and only pulls ahead on a handful of categories. xAI didn't ship a bigger model. They shipped the same price tag with a materially stronger model behind it, and that's the upgrade nobody else in this race is offering right now. follow @cyrilXBTfrozen1mo ago6.5K6597021.28%
Trezors is the way to go @Trezor especially their new safe 7frozen10d ago6.5K57103001.08%
These 4 repos let AI actually DO things on your computer: YOUR COMPUTER Open Interpreter → runs code on your machine from plain English https://t.co/wBYB950wkG YOUR BROWSER Browser Use → lets AI agents click, type and navigate websites https://t.co/GwwR8pgo5B Playwright MCP → gives Claude and other agents a real browser to drive https://t.co/zf87pLUD0b YOUR CODEBASE OpenHands → an open source agent that writes, runs and fixes code https://t.co/OwQP1QKrlQ All free. All open source. Save this.3d ago6.5K8011231152.01%
Men lie women lie Volume doesn't next time you LISTEN when i speak 🫡 https://t.co/I7q2xz9aWPfrozen13d ago6.5K59134101.19%
40 LINES OF TEXT TURN OBSIDIAN INTO AN OPUS 5.5 SECOND BRAIN. No plugins. No coding. No $1,000 course. Just one file called CLAUDE. md sitting in the root of your vault. Here's why it matters. Without it, Opus guesses how your brain works. Every session starts from zero. Notes get filed differently every time. Your voice gets rewritten into generic AI. With it, Opus behaves the SAME way every single time. Like a chief of staff who already knows how you think. Claude Code reads this file automatically every time you open it in your vault. Here's the whole thing. Copy it, fill in the brackets, done. ``` # CLAUDE. md: Operating manual for my second brain ## Who I am I am [name]. I work on [your work in one line]. My focus this quarter: [1 to 3 priorities]. ## Your job You are my chief of staff. I capture. You organize. I decide. Sort, link, resurface and use my notes. Nothing else. ## Folders 00_inbox: raw captures. Process them, never leave them here. 10_projects: has a finish line. One folder per project. 20_areas: ongoing responsibilities with no finish line. 30_resources: topics I'm learning about or collecting. 40_archive: finished or abandoned. Move here, never delete. 50_daily: one note per day, named YYYY_MM_DD. md. 60_outputs: drafts, reviews and decisions made from notes. _system: templates and maps of content. Leave in place. ## Note rules 1. One idea per note. Split captures with several ideas. 2. Filenames lowercase with underscores: pricing_anchors. md 3. Line one: a one sentence summary in bold. 4. Line two: tags. #idea #quote #howto #decision #question #person 5. Keep my words. Fix typos and structure, never my opinions. 6. End every note with a Links section of related [[wikilinks]]. 7. When you link A to B, link B back to A. 8. Unsure where it goes? 30_resources, tagged #unsure. ## Safety 1. Never delete. Archive instead. 2. Never edit 50_daily except to add links at the bottom. 3. Moving more than 20 files? Show me the plan first. 4. Cite every note you use as a [[wikilink]]. 5. If my notes don't answer it, say so. No filling gaps. ## Weekly review (Sundays) Read the last 7 days of daily notes and changed notes. Tell me: what happened, what I keep circling, what I forgot, which projects stalled, every open loop, and the ONE thing to do next. If I'm drifting from my focus, say it plainly. ## How I like answers Answer first. Short. Then the evidence. No filler. No praise. No "great question". Quote my notes when it matters. How to use it: Step 1: Create a vault in Obsidian Step 2: Save this file as CLAUDE. md in the vault root Step 3: Open Claude Code inside the vault and pick Opus 5.5 Step 4: Type "process my inbox" That's it. 3 lines in that file do 80% of the work. "One idea per note." Because a note about 3 things can't link to anything. "Keep my words." Because the fastest way to kill a second brain is letting AI rewrite your thinking into everyone else's. "If my notes don't answer it, say so." Because you want to know what YOU think. Not what the internet thinks. And the line that hurts the most? "If I'm drifting from my focus, say it plainly." Every Sunday Opus reads your week and tells you the truth. Uncomfortable. Necessary. The file takes 10 minutes to fill in. It runs your brain for years. Bookmark this and set it up TONIGHT. Follow @cyrilXBT for the full second brain course and every prompt that runs it.frozen15d ago6.5K64851171.47%
Most people will read this and think it’s about saving tokens it’s not. it’s about never explaining your codebase twice → day 1 you tell Opus “use pnpm, not npm” → day 2 it already knows → day 30 it remembers the bug you fixed three weeks ago that’s the difference between a tool and a teammate. write it once. Opus 5.5 carries it into every session.frozen7d ago6.4K8513160131.97%
YOUR TERMINAL CAN RUN A FULL WEB BROWSER. Not a text browser. Real Chromium. WebGL. WebGPU. Video and audio. Animations at 60 FPS. Starts in under a second. Idles at 0% CPU. Works over SSH with no window server. It's called Carbonyl. Open source. The terminal is where builders live now. The browser just moved in. https://t.co/g19kJbcSeYfrozen4d ago6.4K931370242.13%
POV: you open your coding agent's decision log notes → loaded 3 of 47 files (0.91) route → simple task, fast worker (0.88) tests → auth changed, ran auth suite (0.95) recover → same error twice, rethink (0.74) Every call. Every reason. Every confidence score. No more guessing why your agent burned $6 on a one line fix. How to build it 👇frozen9d ago6.4K70145041.45%
Yesterday I said below $84K, $80K is next. Today Bitcoin broke $84K. Now it's under $83K. Down over 4% in a day. Oil spiked on tanker attacks, interest rates jumped, and over $500M in positions got liquidated. Another rejection at $87K. Another flush. The $87K ceiling held again. Now the question is whether $80K holds as the floor. 👀frozen15d ago6.4K58115021.19%
The total crypto market cap just reclaimed $3 trillion. At the end of June it was $2.1 trillion. That's 43% added in about three months. Almost $1 trillion flowed back in while most people were still calling it a bear market. And it's still roughly 30% below the $4.27 trillion peak from last October. The people who bought the fear in June are up big. The people waiting for "confirmation" are about to buy higher. Same story every cycle. 📈frozen14d ago6.4K61105121.24%
Look at this heatmap. Bitcoin: down 3%. Ethereum: down almost 6%. Solana, XRP, NEAR, TAO: all bleeding. Out of every major coin on the board, exactly one is green. $LEO. Up 0.12%. The exchange token nobody talks about just outperformed the entire market. 😂 Meanwhile Bitcoin dominance sits at 57%, which tells you where money hides when things get scary. Days like this are when people panic sell. And when the patient ones quietly build their bags. Which one are you?frozen7d ago6.4K88156001.71%
Alt szn. What are you buying?frozen22d ago6.4K591018201.39%
AI will not replace you the person who masters AI willfrozen28d ago6.4K7276021.36%
any one tried the new feature on X yet? https://t.co/PYV70LqCKsfrozen11d ago6.4K5294001.02%
Making bank on outlier is REAL https://t.co/EhwGrFJOW2frozen14d ago6.4K55106001.12%
Your AI agent is paying 20x TOO MUCH to reread the same instructions. Every call, it sends your system prompt, your tool list and your project notes again. On Opus 5.5, fresh input costs $4 per million tokens. Cached input costs $0.20. Same tokens. 20x cheaper. The fix takes 5 minutes: Put everything that never changes at the TOP of your prompt. Mark it with cache_control. Put the part that changes every call at the BOTTOM. That's it. Your next bill will show the difference. Bookmark this before you forget. follow @cyrilXBTfrozen24d ago6.4K661012051.46%
I built a useful extension in just 5 mins using sonnet 5.5 who wants to try it out? Reply " I do" and I will send it over to you https://t.co/cwAApikK7Cfrozen24d ago6.3K571011121.28%
"No indication Ledger's systems were compromised." Technically true. But someone still opened Ledger devices, planted a spy chip, resealed the box, and sold them through a reseller Ledger worked with. The chip sat on the screen's data lines and copied the 24 words during setup. The secure element can't protect a seed phrase that gets read straight off the display. And the packaging looked untouched. So the real questions: Who was checking this reseller? Why could a tampered device pass as new? Why are anti tampering solutions only coming now, after an estimated $86M is gone? The tech wasn't broken. The supply chain was. And for users, that's the same thing.frozen8d ago6.3K55811011.19%
Every frontier model this year got smarter and somehow worse to talk to. Same bullet points. Same "great question." Same 400 words that say nothing. You finish reading and you can't remember one sentence. Claude Opus 5.5 is the first model in months that doesn't do that. It answers like a person who knows the subject and respects your time. And it's not a trade off. Fable level performance. Faster. Cheaper. Everyone's been racing on benchmarks. Anthropic went after the thing you actually feel every single day, which is whether you want to keep reading. That's the real upgrade. follow @cyrilXBTfrozen1mo ago6.3K821815051.91%
While everyone stared at a boring $83K Bitcoin chart this week, the big players were buying. Metaplanet bought 11,000 BTC. Nearly $950 million in one go. Strive added another 2,000 BTC. Strategy kept stacking and now holds 848,000 BTC. Retail is bored. Corporations are accumulating. That gap usually doesn't last forever. But watch Friday, October 16. MSCI decides whether Bitcoin treasury companies like Strategy and Metaplanet get screened out of its indexes. That one decision could move this whole market. 👀frozen10d ago6.2K71148041.56%
The best line in this whole thread: "If a new model drops next month, does your company get better or worse?" Half the table went quiet. Run that test on your own startup. If a smarter model makes you better, you're riding the wave. If it makes you obsolete, you're standing in front of it. There's no third answer.2d ago6.2K68116021.40%
POV: it's 6 months into running your company with Grok Bots "Support tickets are down because every repeated question became a help doc." "No lead has gone 7 days without a follow up." "You cancelled 4 subscriptions you forgot you had." "Every competitor price change reached you within a week." Nothing dramatic. Just nothing slipping through the cracks anymore. How to set it up17h ago6.2K711260161.70%
Read this twice if you post on X. The algorithm now rewards 2 things: 1. Time spent on your post 2. People reading it all the way to the end Likes matter less. Clickbait matters less. What wins now: → hooks that make people stop → one idea per line so they keep reading → a payoff at the END, not the start → long posts and articles people actually finish Write for the reader who finishes. That's who the algorithm is looking for now.2d ago6.2K75125021.52%
most "AI market analysts" are one chatbot reading headlines. That's not an analyst. It's a newsletter with a delay. A real one is a SYSTEM. Kimi K3 does the heavy reading. It's open weight, has a 1M token context window and costs $3 per million tokens in. It can take in filings, transcripts, order flow and every headline in one pass. GPT 6 Astra only gets called for the part that actually needs a frontier brain: weighing the evidence and making the call. Cheap model reads everything. Expensive model thinks about what matters. That split is the whole architecture, and most people build it backwards. Full breakdown below, every layer, from scratch. Bookmark this. follow @cyrilXBT I guessed at the split (Kimi reads, Astra decides) from what each model is built for. If your article divides the work differently, send me the layers and I'll match the hook to it.27d ago6.1K731017081.76%
A whole company pushing useless trash that will cause retail thousands of dollars It doesn't matter anyways as long as they profit and you don't smh1d ago6.0K5987001.23%
POV: it's 6 months into running your company with Grok Bots "Support tickets are down because every repeated question became a help doc." "No lead has gone 7 days without a follow up." "You cancelled 4 subscriptions you forgot you had." "Every competitor price change reached you within a week." Nothing dramatic. Just nothing slipping through the cracks anymore. How to set it up 👇14h ago5.9K6385151.39%
Oil just hit $111 a barrel. Attacks in Saudi Arabia and the Strait of Hormuz. Rate hikes still on the table. And Bitcoin? Dipped to $81K this morning. Then ripped to $83K and squeezed out $45M in shorts. Now sitting around $82.6K. Here's the wild part: $BTC is basically flat versus a week ago. And flat versus a month ago. Every bad headline gets bought. Every rally gets sold. The levels that matter: $83.4K is the ceiling. That's where October opened. $79.8K is the floor. Lose it and $77.6K is next. Next big catalyst: the Fed on October 28. Someone breaks this range soon. 👀12h ago5.5K66178011.67%
How to become an LLM Engineer from scratch in 6 months. 100% free resources. No degree required. Here's the exact roadmap, month by month. Bookmark this. You'll come back to it. MONTH 1: Foundations Learn: → Python until it feels boring → the math intuition behind neural nets (vectors, gradients, probability) → how models learn from data Resources: → https://t.co/9rJ3kXnLVM Practical Deep Learning → 3Blue1Brown's neural networks series on YouTube Build: → an image classifier you trained yourself Checkpoint: you can explain what a gradient does without googling. MONTH 2: Neural nets and transformers Learn: → backpropagation from scratch → tokenization → attention and the transformer architecture Resources: → Andrej Karpathy's Neural Networks: Zero to Hero → start with micrograd, finish with building GPT Build: → a tiny GPT trained on text you choose Checkpoint: you can draw a transformer block from memory. MONTH 3: Build an LLM yourself Learn: → pretraining → data pipelines → how training scales with data and compute Resources: → Sebastian Raschka's Build an LLM From Scratch (all code free on GitHub) → Stanford CS336: Language Modeling from Scratch (free lectures) Build: → your own small language model, trained end to end Checkpoint: you know why every line of your training loop exists. MONTH 4: Fine tuning Learn: → supervised fine tuning → LoRA and other efficient methods → preference training basics Resources: → Hugging Face LLM Course Build: → fine tune an open model on one narrow task → measure it against the base model Checkpoint: you can prove your model got better, with numbers. MONTH 5: Prompting, tools, RAG and agents Learn: → prompt engineering that actually holds up → tool use and function calling → retrieval (RAG) → evals, the skill every AI team is hiring for Resources: → Anthropic's free courses on GitHub → Hamel Husain's writing on evals Build: → an agent that uses tools and answers from your own documents → an eval set that catches when it fails Checkpoint: you can tell when your agent is wrong before a user does. MONTH 6: Ship it Learn: → serving models fast and cheap → latency, cost and monitoring → how to package work so people can use it Resources: → vLLM docs → Hugging Face model hub Build: → ONE real project that real people use → write up what you built, what broke and what you learned Checkpoint: a stranger can use your project without asking you how. The secret nobody tells you: You don't get hired for finishing courses. You get hired for the 6 things you BUILT. Every month ends with a project. That's your portfolio. 6 months. $0. The only cost is consistency. All links in the reply 👇 Follow @cyrilXBT for more roadmaps like this.10h ago5.5K747130242.16%
DeepSeek just open sourced DeepInfer. The inference framework that runs its own production services. What's included: Offline inference for DeepSeek V4.1 Flash Support for Nvidia SM100 GPUs and Huawei Ascend 950 chips What's not: The KV cache system The serving infrastructure So you get the engine, but not the whole car. Still, a top AI lab releasing the code behind its production stack is a big deal. And official Huawei chip support says a lot about where China's AI compute is heading. 🧠 Repo: https://t.co/W4H1WU3kqy14h ago4.8K651116021.97%