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jayminsofficial

Jaymin Shah

Verifieddormant
@jayminsofficial

🚀 CEO, Building Creative Trust @wearetmsg |💰Angel Investor | FinTech | Climate Hawk | 🧳✈️ part-time traveler | Stay Humble. Hustle Hard ♥️

RosterAI Agents & Productivity ToolsStartup & SaaS Builders
100,002 followers · 726 following · Last polled 2h ago
Perf. Score
71.8
Rank #57
Value Score
48
#147 of 273 priced
Median views
41K
p25 40K · trailing 7d
Followers
100K
+0.8% 7d
ER (impr.)
0.92%
eng ÷ impressions
ER (foll.)
0.48%
eng ÷ followers
Est. CPM
$31.83
QT-rate basis
WoW views
+31.9%
▲ rising

Rates & value · est. from 41K median organic views

fairly priced
Quote tweetbasis
$1300
$31.83 / 1K views
Post
—
no CPM
Thread
—
no CPM
Retweet
—
no CPM
Value Score 48 · rank #147 of 273 priced$2642.28 / 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 (41K), not the mean (53K) — so a single viral post doesn't inflate a creator's reach. The p25 floor (40K) is the level 75% of posts clear.

Recent posts · ranked by views

PostPostedViewsLikesRepostsRepliesQuotesBookmarksER
Opus 5.5 + Boreal-H3 is insane. I wanted to see what “one-shot an ad from a single ask” actually looks like, so I tried it with AssessZen, a platform that helps companies, universities, and recruitment teams create technical, coding, and online assessments built around real-world skills, integrity, and scale. From one ask, the video carried the product context, pacing, scenes, and overall story into a surprisingly coherent ad. That changes the creative workflow completely. Instead of generating individual clips and piecing everything together, you can start with the ad you have in mind and let the system build from there. I generated this with Creatify’s Ad Agent + Boreal-H3. Try Boreal-H3 in Model Playground.frozen22d ago80K2222240940.43%
The real challenge with AI at scale is often the cost of making millions of decisions every day. @NaceAI recently shared an interesting demo featuring Drex Max, their multimodal decision model built for computer use and browser use. Think about how AI agents interact with a browser. Every task can involve dozens of small decisions, often requiring a new screenshot to be processed at each step. That's where inference economics becomes interesting. According to Nace AI, Drex Max offers: → Up to 167x lower per-token costs than models powering computer use from Claude, GPT, and Gemini → 88.3% accuracy on Mind2Web, compared to 86.5% for Jev 1.14 → 174 ms median decision latency, compared to 253 ms for Jev 1.14 in Nace AI's vision benchmark What stands out to me is how specialized models can make real-world AI agent deployments more economically viable while maintaining strong decision accuracy. When an agent needs to make dozens of decisions to complete a single task, even small improvements in latency and inference cost can add up. Of course, broader real-world testing matters, but these results highlight an important direction. AI adoption at scale depends on more than intelligence. It depends on the economics of every decision. Explore Drex Max: https://t.co/He53h2KcgG #AI #BrowserAutomation #MultimodalAI #AIAgents Sharing the demo below 👇
frozen
3d ago
77K
392
3
29
0
145
0.74%
The hardest part of making a deck usually comes down to getting the right context into it. That’s why Gamma 5’s connectors stood out to me. The agent can pull directly from places where the work already lives, like Notion, Slack, or HubSpot, and use that context while building! The result is a deck that starts from real source material and carries that context into the story you want to tell. @GammaAppfrozen16d ago59K3322110550.67%
The AI industry normalized something insane: AI that tells you what to do, then leaves you to do it. "Just send the family a quick text." "You'll need to enter your card to book it." "Try posting on a local board to find a sitter." Assistants built to answer questions now sit at the center of our lives, and every answer ends with a task handed right back to us. The sink's still leaking. The refund's still pending. You're still on hold. That became the default for how we use AI. @wajo_ai's Fo changes the game: it has its own phone number, email, and card, so it makes the call, handles the back-and-forth, and texts you when it's actually done.frozen24d ago54K2568100310.57%
You’re handing your credit card to agents that can't spot a scam. Agents are now shopping, booking, and paying on behalf of humans, and agents will check out anywhere THEY deem legitimate. So when a scam site shows up in the search results, the agent pays, and the owner might not find out until a bank statement. This has become the default operating system for agentic commerce. And now let’s 1000x that: banks are operating in the exact same way. @baselayerhq's Counterparty Verification changes the equation: built on the same trust layer that's prevented $1B+ in fraud across 2,000+ financial institutions your agent verifies who it's paying before a cent is moved. This is the future of commerce.frozen24d ago51K2340220180.54%
India’s technology opportunity is increasingly about connecting two powerful worlds: the depth of our academic research and the scale of enterprise execution. Through my association with some of India’s leading institutes, I have seen the quality of talent, research and technical thinking that exists across our campuses. Greater and more sustained corporate participation can multiply the impact of this intellectual capital. IBM’s expanded collaboration with IIT Bombay and IISc is a strong example of this connection taking shape. Work across agentic AI, sovereign AI, Indic language technologies, hybrid cloud and quantum computing can create a stronger pathway from research and experimentation to enterprise implementation. Another @IBM development from last week adds an interesting dimension. IBM Bob is expanding into self-hosted environments, bringing agentic software development to sensitive and mission-critical workloads while giving enterprises greater control over deployment, models and infrastructure. I like the larger direction IBM is taking here. On one side, it is investing deeper into frontier research with leading institutions. On the other, it is making advanced AI easier for enterprises to deploy within the realities of security, sovereignty and existing infrastructure. This is the kind of bridge technology ecosystems need. Academia contributes scientific depth and long-term exploration. Industry adds scale, real-world problems, infrastructure and deployment experience. Bringing these strengths closer together helps ideas mature faster and makes technology adoption more practical. India has tremendous intellectual capital. Stronger industry-academia partnerships, combined with enterprise-ready technology, can help convert more of that strength into innovation with meaningful global impact. #ArtificialIntelligence #DeepTech #Research #Innovation #IndiaTech #EnterpriseAI https://t.co/2djWXficqSfrozen16d ago50K2451230610.66%
Indian investors are increasingly looking beyond domestic markets as global diversification becomes a more relevant part of long term portfolio thinking. What stands out with @upstox US Stocks is the breadth of access. Investors can explore 8,000+ US listed stocks and 2,000 ETFs across global companies and sectors that have limited Indian listed equivalents. Fractional investing from $1 also makes this access more practical. For investors building exposure gradually, this creates a simpler way to participate in global opportunities while keeping allocation and risk discipline at the centre. #UpstoxUSStock #USStocks #GlobalMarkets #Investingfrozen25d ago49K1130220270.33%
Be hungry like Samsung. Samsung has just projected a staggering $80 billion in operating profit. In a single quarter! Possibly the highest quarterly operating profit ever recorded by a technology company. But what fascinates me more than the number is Samsung's incredible journey. Samsung started in 1938 as a small trading business selling groceries and other goods. Over the decades, it moved into food processing, textiles, consumer electronics, televisions, smartphones and eventually some of the world's most advanced memory chips. From selling groceries to powering the global AI revolution. What an extraordinary transformation! Its journey tells us something very important about building great businesses. The most successful companies keep evolving. They continuously explore new opportunities, invest in new capabilities and venture into industries that once seemed far beyond their reach. And in the process, they create enormous economic value, lakhs of jobs and opportunities for people across countries, including India. Women, too, have become an important part of this workforce. Samsung also shows how a family-controlled business can continue to think big, take bold decisions and reinvent itself across generations. What I find particularly inspiring is the hunger to keep growing, even after achieving extraordinary success. There is a valuable lesson here for Indian entrepreneurs and business families. Success should make us more ambitious, more curious and more willing to explore what comes next. Keep investing. Keep innovating. Keep reinventing. The possibilities are endless when the hunger to grow stays alive.frozen10d ago48K3651250500.92%
The most interesting thing about Pareto 26.10 preview is the efficiency curve. It scores 51% on Terminal-Bench 4.0 while claiming 34x lower cost per task than Fable 5.1, which shifts the conversation from raw model strength to intelligence per dollar. Add an open harness and third-party testing, and the comparison starts to feel much more useful for serious buyers. @theunbiasedcofrozen21d ago46K1831110530.54%
Most technology shifts start with a better interface. The mouse changed computing. Touch changed mobile. Voice changed how we interact with assistants. Sabi just raised $50M to skip the interface entirely. A hat that turns your thoughts into prompts. Own chip, fabbed at TSMC This is the beginning of something very cool and exciting in technology!frozen13d ago43K2070122400.61%
One thing I find interesting about AI personalization is how much it still depends on what we explicitly tell a system. Our preferences are often more subtle than that. Sometimes we know what feels right before we can explain why. Sabi’s approach to understanding these signals through Brain AI Interfaces opens up some fascinating possibilities. Especially as AI becomes more autonomous, the ability to understand human preferences and intent could become a meaningful part of building systems we genuinely trust.frozen5d ago41K31022120500.96%
Wow, Wajo just shipped Fo MCP, and this changes how I think about AI agents entirely Most AI agents live on a screen. They can research, plan and write, but the moment a task needs a phone call, a booking or a purchase, you're back to doing it yourself Fo MCP closes that gap completely It plugs Fo into the agents you already use, your AI tools, your terminal, even hardware. Your agent does the thinking, Fo does the legwork The terminal use case is what caught my attention. You ask Fo to call the plumber for a quote, and it places the real call and reports back. You never leave your workflow We have been talking about "agentic AI" for two years. This launch is insane. Every agent in the world can now do something in the real world, which means people can build entire businesses on agents that actually execute. Fo is the agent that has finally arrived in the physical world.3d ago40K3893210791.24%
The next big leap in AI voice may come from how easily humans can direct it. Fish Audio's Drama 3 brings that idea to life. From expressing emotions through simple instructions to editing individual words and managing multiple voices, it makes audio creation feel more intuitive. What stands out is the potential to reduce the gap between creative imagination and execution. As AI becomes more capable, the real differentiator will be how naturally people can turn their ideas into experiences. Kudos to the @FishAudio team for advancing this space!frozen9d ago39K2481220150.74%
Wow, Warp created an actual AI head of HR I’ve been skeptical of every “HR agent” pitch because most of them are just chatbots that answer questions about company policies and PTO Meanwhile with Warp: Hire someone in a new state and it registers the company, opens the tax accounts, sets up unemployment insurance, and configures payroll, in about sixty seconds It doesn’t wait for you to find the problem. It flags and fixes it before it turns into a fine, not after And when it hits something it genuinely can’t do, like a phone call to a state agency, it loops in a real person instead of stopping there I’ve heard that founders scaling to hundreds of employees are running the entire people function. This is a new era for HR.frozen27d ago38K18710201140.61%
The biggest thing Pareto 16.9 gets right here is coherence at scale. Generating a beautiful Three.js scene is impressive, but maintaining atmosphere, terrain, movement and cinematic continuity across seven completely different environments takes it to another level. A serious step forward for visual coding.frozen27d ago38K1499220160.52%
The richest people in tech pour millions into buying more time. >Private doctors. >Eyebrow-raising experimental therapies. >Devoted teams tracking biomarkers. And for years: >Saving their cells while they're still young. Which was out of reach for everyone else until now.frozen7d ago35K3492170661.23%
The cost of building AI is starting to matter as much as the capability. An American lab of 5 guys with no background in AI just launched an open-source model post-trained to do the work bankers, consultants and lawyers do in PowerPoint, Excel and Word. They trained it for about $300K, at a fraction of the price of the big labs. What stands out is who this opens the door for: 100s of AI startups building for finance and law are paying heavily for tokens, but an open model built for their exact work changes that math. As AI matures, the most efficient builders will separate from those who spend the most. Kudos to the Paper Instruments team for proving a small team can still move this space forward!frozen8d ago34K332161181.04%