Sneha Keshwani

Thrilled to announce that Together Fund is investing in Sentra, alongside a16z speedrun! You track results in Jira. Decisions in Notion. Conversations in Slack. But the reasoning, the debates, trade-offs, and context behind why you chose A over B, disappears into what we call "Dark Matter." A decision made in March looks insane by July because no one remembers the constraints that made it smart. I lived this firsthand at Twitter scaling from 800 to 8,000 employees, and at Google while launching AI Overviews to billions at planet scale. The problem isn't process. Process is compensation for something deeper: organizational amnesia. An organization’s "Systems of Record" doesn’t solve this, they encode it. They store what happened, never why. That's why we are investing in Sentra. Sentra is the always-on collective memory that eliminates organizational amnesia by maintaining accurate context for all members and agents, functioning as an operational nervous system. It connects to every channel where work happens, meetings, Slack, email, code commits, docs, calendars, and treats them not as artifacts to search, but as living signals to synthesize. The fleeting and the permanent, unified into a memory that understands. The founding team is built for this: - Jae Gwan Park (CEO): Product-first founder, memory systems research at UofT and MIT - Ashwin Gopinath (CSO): Former MIT professor, created "Reflexion" (NeurIPS 2023), agents that learn from mistakes, 2x founder - Andrey Starenky (CTO): Early Vapi engineer, ex-IBM, built to process enterprise-scale data firehose Together is an operator-led fund. We invest in problems we've lived. This is one of them. Many congrats Jae, Ashwin and Andrey, we are so excited to partner with you! Read the full thesis: https://lnkd.in/gixj9cE4 Book a demo: https://www.sentra.app/ #OrganizationalMemory #AI #Sentra #TogetherFund #a16z #ContextGraphs

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rqlite -- and the way I develop it -- is fundamentally changing. LLMs are in the loop -- from ideation to Pull Request. https://lnkd.in/ejwXGddR

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I built a thing with Claude Code over the past couple days: A "Board of Mentors" powered by Lenny's podcast & 267 guests. I've always appreciated mentors to help me chew through decisions and get unstuck. Sometimes, you can't get everyone on a call. After Lenny's post a few days back about using Claude Cowork to generate insights from his 320 episode transcripts, I saw a few vibe-coded inspirations pop up. Some more visual, some more technical. I was inspired. Time to hop on the bandwagon and add my contribution. I opened up Claude Code, scoped out my idea, and in a matter of hours built a functional prototype: a board of product mentors. How does it work? → Ask a product question. Suggested questions pulled directly from the podcast. → Select your mentors from the total 250+ podcast guests extracted from the transcripts. Relevant mentors are pre-selected based on your question. → Run a 3-round deliberation: initial positions → cross-examination → synthesis by a "leading voice." → Ask follow-ups The app extracts 80+ topics from the transcripts (growth, prioritization, hiring, product-market fit...) and matches your question to guests who discussed those topics. Brian Chesky for founder mode? Shreyas Doshi for prioritization? Annie Duke for decision-making? It pre-selects them automatically. Will share the GitHub link once it's more polished. If you have ideas on how to improve this (more podcasts? go beyond product? smarter deliberation methodology?), let me know in the comments 👇 In the meantime, check out the demo below, and thanks Lenny Rachitsky and Claire Vo for the inspiration and transcripts 🙏

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A Question I Ask Before Any Launch: “What happens if this works too well?” It sounds like a good problem—but it’s how you uncover: - Capacity issues - Support gaps - Operational debt Every launch plan needs a success plan

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Launching our Claude Code/Co-work HELPLINE for Product Managers! Monday-Saturday 9:00am-11pm PST. Since past 2 months we've been talking to hundreds of PMs here Second Axis. We almost always see PMs being in one of the three buckets: 1) Have a loosely coupled workflow which provides a "sense of efficiency" but breaks as soon they want to scale it to their team. 2) Want to implement some kind of an PM OS with a couple of skills but the setup needs more bandwidth than the problem itself. 3) Are cognizant of the efficiency an AI system can provide but can't implement it within their company because of all the IT red-tapping. The common theme amongst all of these three groups is: 1) Setup is hard and requires a learning curve 2) Once the system is setup its unable to scale up. And so we are launching a PM helpline to provide near instant help to our community of Product Managers. Pick up the phone, We'll Answer any question you might have. No Sales Pitch! #Product #AI #ProductManagement #ProductManagers #NYC #Boston #SF

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Thrilled to finally share my final single project for Altschool! I wrote a detailed Product Management Case Study diving into the strategy behind X (formerly Twitter), and how it successfully mastered the landscape of real-time, global conversations. This article breaks down the core product decisions and features from the strategic use of Quote Tweets and the power of Trends, to the role of Communities that made the platform a culturally dominant "habit." The ultimate product lesson? Speed and simplicity are the keys to cultural dominance. Check out the full analysis below and let me know your thoughts on the PM strategy: https://lnkd.in/dmGBG9KW #ProductManagement #PMCaseStudy #Altschool #X #Twitter #TechAnalysis #ProductStrategy

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I've worked for many startups over the years, and many times reporting directly to VP/President/CEOs. Particularly in startups with founders as the heads, this article very clearly explains how you should approach working with leadership in these types of organizations. This is terrific to read if you're currently interviewing. https://lnkd.in/g-Np-J7u

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🚀 Excited to share my second VibeCoding project: MenuMagic ✨ https://lnkd.in/eeaVxkWJ This one started from a real problem in my own house—two little kids, busy schedules, and zero consistency in meal planning. Instead of stressing about “what’s for dinner?” I built a tool that: 🍝 Lets you plan meals (for a day, week, or month) 🔗 Pulls in recipes straight from links and summarizes them with AI 👩‍🍳 Suggests kid-friendly alternatives (buttered noodles → rainbow buttered noodles 🌈) 🛒 Builds a consolidated shopping list 🥦 Uses what’s already in your pantry, fridge, or freezer to inspire new meal ideas The pantry part especially took me back. Christopher Brereton, remember when I used to throw together meals out of whatever random stuff I had lying around? You even had a nickname for it… I can’t for the life of me remember what you called it. Drop it in the comments if you do. 🙃 And on the tech side, wrapping this up as a demo mobile app really brought me back to those early days hacking together prototypes with Chris in Yohei Nakajima's garage. Wild how frustrating that process was for me to work through back then and how quickly I was able to do it today. Right now, MenuMagic is just a passion project, but I’m fired up about the possibilities. This journey is teaching me a ton about how far you can push today’s AI tools, and I’d love your feedback. 👉 What features would you want in something like this? 👉 Any families out there who’d want to try it out? Thanks for following along on this VibeCoding journey—next step is exploring how some of these projects might evolve into a side hustle. #AI #VibeCoding #MealPlanning #Innovation #LifeHacks #ParentingHacks #FamilyLife #AItools #BuildInPublic --- Kelly O’Brien Dylag, Jessica Richling O'Malley, Karla Campos, Michelle Manning, Christi Betz, Amanda Noga, PMP, Carrie Pyle Lawrence, Isadora Dantas, Todd Schonhardt,

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