Shubham Attri

If man has done it, man can do.

@harjotsgill just use @memorydotstore with your existing agents

Your engineering team is about to snap. And your AI coding agent is making it worse. Introducing CodeRabbit Agent for Slack 🎉 A second brain for engineering teams. Because your tribal knowledge lives in Slack threads nobody can find. At CodeRabbit, we review millions of PRs every week and know how ace engineering teams operate on the planet. The same three things slow every team we see: - Context and decisions that live elsewhere. - Lack of a team-level durable knowledge base - And a trust layer that gives a safety net to your teams Built for Agentic SDLC workflows, CodeRabbit Agent for Slack solves all three problems in one shot while enabling teams to collaborate in real-time with the Agent. CodeRabbit Agent is Slack-native and builds your team’s operating context from every thread, every decision, every conversation your team has ever had. Make your team’s context compound!

your AI agents w/o @memorydotstore is just auto regressive but w memory store it's compounding intelligence in making. Big W to people using memory store.

@diwanksingh @IshitaJindal17 @HamadaSalhab auto regressive nerfing models

🤦‍♂️just turned off claude memory. anthropic completely nerfed it twice in a row! (and don't judge my headphone choices)

@diwanksingh acquired taste

don't be me hate all dad jokes except your own

@IshitaJindal17 let's solve this memory problem for good !!

we're part of YC this batch!! diwank and i have been talking to founders everyday for the last 4 months to understand how they use ai. people have just gotten used to copy-pasting old context into ai chats. we don't think you should settle for this. that's why we're building @memorydotstore

@diwanksingh @memorydotstore @ycombinator @kul @t_blom @IshitaJindal17 congrats team !!!!

exceited to announce that @memorydotstore is part of the @ycombinator P26 batch 🟧 with @kul and @t_blom as our partners one shared memory for your team's agents! if you are building agents and think memory, talk to @IshitaJindal17 and I

🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length. 🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models. 🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice. Try it now at chat.deepseek.com via Expert Mode / Instant Mode. API is updated & available today! 📄 Tech Report: huggingface.co/deepseek-ai/De… 🤗 Open Weights: huggingface.co/collections/de… 1/n

@sama codex agents are god-sent agents and a force of nature, we've been shipping at blitz speed to serve our customers at @memorydotstore GPT 5.5 on NVIDIA stack is only for winners.

We tried a new thing with NVIDIA to roll out Codex across a whole company and it was awesome to see it work. Let us know if you'd like to do it at your company!

@gregisenberg @startupideaspod i'll recommend @diwanksingh, expect a lots and lots of new insights get uncovered.

I have 3 open guest spots on @startupideaspod If you could sit in on a conversation between me and anyone in the AI or startup world, who would it be? Tag them below. The more the better. The best guests come from you guys. Every time.

Episode 17 Continuing to track early signals across AI, Robotics & Bio — another batch of teams building across robotics, infra, agents, and applied AI. Here are a few more worth watching: @AtalantaTech — AI platform focused on intelligent systems and automation across digital workflows. @NeoCognition — research-driven AI company building advanced cognitive systems and intelligent agents. @BubbleRobotics — robotics startup focused on building autonomous systems for real-world environments. @afreshai — AI tools designed to optimize workflows and improve productivity across teams. @sorin_ai — AI assistant platform focused on automation and decision support. @OpsCompanion — AI copilot designed to assist with operations, monitoring, and workflow execution. @opt32co — infrastructure and optimization tools for high-performance AI systems. @CoreAutoAI — platform focused on automation and intelligent software systems for operations. @sudo_robotics — robotics team building autonomous systems and real-world robotic applications. @monitoringmts — AI-powered monitoring tools for systems, infrastructure, and performance tracking. @ontoratech — AI platform focused on structured knowledge systems and data intelligence. @qomplementai — AI tools designed to augment human workflows and productivity. @memorydotstore — memory layer for AI systems, focused on storing and retrieving contextual knowledge. @furtheraicom — applied AI platform focused on automation and intelligent software workflows. @kos_ai_inc — AI infrastructure and tools for building scalable intelligent systems. @blaisedotnew — experimental AI platform exploring new interfaces and interaction models. @AriaNetworks — AI-driven network optimization platform focused on infrastructure and connectivity. As always — do your own research before diving deeper. Follow along for more early signals: 👉 @AreslabsAI 👉 @afrectz

Thinking is unnatural. You should try your best to do as little thinking as possible. You should trust your gut

*warming up geist*

@dadbodshuffl i've found runway to have best output for video/image.

TIL runway has this feature where you can do a google meet with one of their characters.

I just created a doc of @memorydotstore growth ideas with a 1-line codex command. @romainhuet just gave a demo at YC office on Codex Computer Use and I put it to use with @memorydotstore Been using Codex more and more, especially because how good it is with calling MCPs.

every conversation, every single day without memory! even inside projects you have to explain your context again and again

At some point, usually in your 20s, you'll notice that the people around you stop believing in themselves. And no matter how hard you try, you can't save them. By all means, do not let it infect your mind. Stay on your path.

I'm lucky enough to have a great doctor and access to excellent Bay Area medical care. I've taken lots of standard screening tests over the years and have tried lots of "health tech" devices and tools. With all this said, by far the most useful preventative medical advice that I've ever received has come from unleashing coding agents on my genome, having them investigate my specific mutations, and having them recommend specific follow-on tests and treatments. Population averages are population averages, but we ourselves are not averages. For example, it turns out that I probably have a 30x(!) higher-than-average predisposition to melanoma. Fortunately, there are both specific supplements that help counteract the particular mutations I have, and of course I can significantly dial up my screening frequency. So, this is very useful to know. I don't know exactly how much the analysis cost, but probably less than $100. Sequencing my genome cost a few hundred dollars. (One often sees papers and articles claiming that models aren't very good at medical reasoning. These analyses are usually based on employing several-year-old models, which is a kind of ludicrous malpractice. It is true that you still have to carefully monitor the agents' reasoning, and they do on occasion jump to conclusions or skip steps, requiring some nudging and re-steering. But, overall, they are almost literally infinitely better for this kind of work than what one can otherwise obtain today.) There are still lots of questions about how this will diffuse and get adopted, but it seems very clear that medical practice is about to improve enormously. Exciting times!

@gajesh you better pull this one off well.

wake the world’s sleeping compute darkbloom