20 | playing with ai agents

Joined November 2024
Rucha Patil retweeted
We’ve raised a $2.5M pre-seed to fix hardware hiring. The most reliable way to know if an engineer can do the job is to watch them work. In hardware, that’s been almost impossible to do at scale. Colare runs simulation-based assessments that show how candidates actually work, in the tools they’d use on the job, before anyone books an interview. We assess across: - Mechanical (CAD, DFM, FEA) - Electrical (PCB, schematics) - Systems - Manufacturing, & more. Candidates solve problems from first principles. Hiring teams see that across their whole pool, so engineers only interview people who’ve already cleared the bar. We're already working with everyone from seed-stage startups to multi-billion-dollar aerospace manufacturers. If you’re hiring hardware engineers, let’s talk: colare.com/
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most of my relatives are in tech, but this is how they used to reply whenever i asked them for feedback lol ( NOT ALL) he’s my cousin btw, not even some dur ka rishtedar & now he’s asking me for a referral time really flies lmao
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Rucha Patil retweeted
Kling 4 is live on Buzzy. Omni Reference for consistent characters and objects Up to 30 seconds in one generation Start / Middle / End frame control Next-level cinematic motion Available now on Buzzy.
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imagine every ai agent having its own email identity to interact with the real world from signing up for services to handling invoices, email is still how much of the internet works thats wild
Today, @agentmail has processed over 1 Billion emails. A year ago, we processed under 20 million. So we figured it was time for AgentMail to grow up a little too :)
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Rucha Patil retweeted
The AI Builder Program is expanding across Europe with $10M in total support across compute grants, capital, and community programs. Are you building open models, developer tools, or applications on top of them? The program helps builders go from experimentation to scale-up through: - Compute grants for selected projects in areas such as open models, coding agents, post-training, and evals - VC connections to help turn open source projects into companies - Hackathons and demo days with communities including @AITinkerers, @techeurope_ , and @esra_robotics to build, connect, and share your work We’re kicking off the European expansion this week at #NVIDIAGTC Berlin with @NVIDIAAI, @Accel, and a network of European VCs. Building AI in Europe? Details below. 👇
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Rucha Patil retweeted
Introducing Hugo: the first human companion robot. At Boston Dynamics, I was Chief Strategy Officer, bringing robots into the real world. My co-founder, Farbod Farshidian, led research at the RAI Institute. Together, 15+ years teaching robots to run, jump, and work. So we asked: what if robots could connect with people? Hugo runs on the first Vision-Language-Expression (VLE) model. He links what he sees and hears to movement, expression, and gesture. He notices you, reads the room, and reacts in real time. And he's only the first. Dynamic Creatures is @BostonDynamics' official entertainment and hospitality partner. We're building a cast of characters with film studios, resorts, and theme parks. dynamiccreatures.com
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since you guys asked "what am I looking at" a lot yesterday here's the code review use case for Jev images, explained better With agent PRs I want proof it works, and the starting point for UIs is a screenshot in the PR Even if it works, we still care about understanding the underlying change so we keep a sharp mental model of the software system. So @ColdteaAI's PR Lens lays out the architecture on a canvas, and Jev matches each PR screenshot to the underlying system components that changed you review the PR starting from what you can see, its impact on your system's architecture and keep that mental model long before you read a line of code! try it on your next PR: github.com/coldteadotai/pr-l…
best code review use case for Jev images so far: PR screenshot in, the architecture and data flow behind it matched screenshot to matches in ~2 seconds Try it on your next PR: github.com/coldteadotai/pr-l…
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i’ve spent so much time opening files just to figure out which component is in a screenshot that’s why PR Lens caught my attention. it connects the screenshot to the relevant parts of the app, so you can get straight to the actual changes instead of digging through files
since you guys asked "what am I looking at" a lot yesterday here's the code review use case for Jev images, explained better With agent PRs I want proof it works, and the starting point for UIs is a screenshot in the PR Even if it works, we still care about understanding the underlying change so we keep a sharp mental model of the software system. So @ColdteaAI's PR Lens lays out the architecture on a canvas, and Jev matches each PR screenshot to the underlying system components that changed you review the PR starting from what you can see, its impact on your system's architecture and keep that mental model long before you read a line of code! try it on your next PR: github.com/coldteadotai/pr-l…
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Rucha Patil retweeted
Your next AI upgrade might be something you can hold. Meet SlashVibe, a physical controller for your AI agents. See agent status at a glance. Switch between agents with a flick. Speak your next instruction. Keep your agents moving with less window juggling and fewer interruptions. Coming to Kickstarter October 27. Get Early Bird Access → slashvibe.ai/
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Rucha Patil retweeted
We’ve raised a $10M Series A to automate video creation for every company. 1,000+ organizations like Atlassian, GitLab, Samsara, Legrand, and Zendesk use @clueso to automate their videos for marketing, customer education, and employee training. The struggle of video creation in companies is so real, that Netflix made a documentary about it
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Teams switching TTS providers get 3 months covered. That's an aggressive move
$52M seed round. 15M+ users. But this is what we're most proud of yet. Introducing Drama 3: the most emotive and controllable TTS model in the world And yes, it's open-weight. You can now control how even a single word should sound, change its tone, and shift your voice mid-sentence. Uncle Roger was impressed too. Try it here: s.fish.audio/rqh0l8 Comment “DRAMA” within the next 48 hours for 1 month free. If you're an enterprise your first month is on us: s.fish.audio/qz9r0t
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Rucha Patil retweeted
$52M seed round. 15M+ users. But this is what we're most proud of yet. Introducing Drama 3: the most emotive and controllable TTS model in the world And yes, it's open-weight. You can now control how even a single word should sound, change its tone, and shift your voice mid-sentence. Uncle Roger was impressed too. Try it here: s.fish.audio/rqh0l8 Comment “DRAMA” within the next 48 hours for 1 month free. If you're an enterprise your first month is on us: s.fish.audio/qz9r0t
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Introducing SubQ Snap, the first long-context decision model for real enterprise work. Snap is the only decision model or LLM where compute per token stays constant as context grows. • 384K tokens of multimodal context, 12x larger than Jev. • 61.7 on Decision Index v0.2.1 vs Jev’s 57.9, outperforming on 13 of 16 enterprise benchmarks. •Processes 100K tokens and returns a decision in under one second. •$0.05/MM input tokens. Output is free. Available today to anyone. The first 10,000 sign-ups get 100M free input tokens. We’ll likely hit capacity fast and will add users as we add compute. Compute offers welcome 🙂. Latency will be variable as we tune the platform to this new model and category of users. Model speeds are 80ms for minimal context, 250ms for 32k, 660ms for 100k, and 2.5 seconds for 384k. Visit: subq.ai/
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Banger Launch Videos we shipped in 2026
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read somewhere "making money is an art" now i want to be an artist
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The keyboard is going to be the fax machine of the 2030s
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How would you turn $40k into $400k in one year ?
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