product exec. agentic AI + longevity Book me here: https://xitter.cf/t.co/MC2bvfV26h

San Francisco / London
Joined March 2009
Sandeep Chivukula retweeted
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For most of my career, the best kept secret about building great products was simple. ✨ Talk to your users. ✨
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Now I'm doing something I haven't done before. Opening my calendar for 1:1 calls on Intro.
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I work with product leaders and founders on agentic AI — how to cut through the hype and actually use it to build better products faster. Book me here 👉 intro.co/SandeepChivukula
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Is there an agent to keep up with all the agents?
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Sandeep Chivukula retweeted
The token cost to build a production feature is now lower than the meeting cost to discuss building that feature. Let me rephrase. It is literally cheaper to build the thing and see if it works than to have a 30 minute planning meeting about whether you should build it. It’s wild when you think about it. This completely inverts how you should run a software organization. The planning layer becomes the bottleneck because the building layer is essentially free. The cost of code has dropped to essentially 0. The rational response is to eliminate planning for anything that can be tested empirically. Don’t debate whether a feature will work. Just build it in 2 hours, measure it with a group of customers, and then decide to kill or keep it. I saw a startup operating this way and their build velocity is up 20x. Decision quality is up because every decision is informed by a real prototype, not a slide deck and an expensive meeting. We went from “move fast and break things” to “move fast and build everything.” The planning industrial complex is dead. Thank god.
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One week of short sleep in otherwise healthy adults. Not "sleep deprived" by strict definition. Just 4-5 hours a night. Testosterone dropped 15%. Insulin sensitivity dropped 20%. Muscle protein synthesis dropped 19%. Hunger hormones rose 28%. Cortisol rose 51%. These aren't the only systems affected. They're just some of the ones that have been measured in controlled settings. No supplement, no diet hack, no training program (crazy claim, I know, but you can't outrain poor sleep...) outperforms sleep at keeping systems "online". References: Leproult & Van Cauter, JAMA, 2011. Buxton et al., Diabetes, 2010. Zuraikat et al., Diabetes Care, 2024. Spiegel et al., Lancet, 1999. Saner et al., J Physiol, 2020. Spiegel et al., Ann Intern Med, 2004.
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Sandeep Chivukula retweeted
Introducing anymap-ts: a new Python package that makes geospatial visualization easy! Built on MapLibre + TypeScript, anymap-ts brings the same rich mapping experience to both the web and Jupyter Notebook. It supports many popular geospatial formats, including GeoJSON, GeoParquet, FlatGeobuf, PMTiles, COG, Zarr, COPC LiDAR, and Gaussian Splat. It also includes powerful built-in UI components such as a minimap, bookmarks, print tool, view state manager, STAC search, street view, and geometry editor. Try it out: Web demo: opengeos.org/maplibre-gl-com… Jupyter demo: notebook.link/github/opengeo… GitHub: github.com/opengeos/anymap-t… Documentation: ts.anymap.dev Video tutorial: youtu.be/Xr_UfBI46bc #mapping #maplibre #typescript #jupyter #python
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Why is Clawdbot/Moltbot/Openclaw going viral? Context is trapped in app silos. We waste high-leverage time manually routing data between Slack, email, and calendars. @openclaw signals a shift to a #PersonalOS that let's the user own the context layer.
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Also, avoid the productivity vanity trap. Do not settle for AI slop output. No one cares how many reports you created. or how fast your agent clicked buttons. A competitor with ten-year context with real outcomes will outrun you. Build a context moat that compounds.
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Sandeep Chivukula retweeted
Claude Coude、毎回キーボード触るの面倒すぎて、物理承認印鑑をつくりました。 これを使えばジャパニーズトラディショナルな気持ちでバイブコーディングできます。普通にちょっと便利
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Sandeep Chivukula retweeted
If you are an AI safety researcher, book a flight ticket to Tokyo now and watch the "AI dog in chain" art exhibition. Our pre-training data is evolution and mostly physical intelligence. It's the best way to witness and ponder on the meaning of AI safety.
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Sandeep Chivukula retweeted
I feel like I'm late to the Claude Code train but WOW <60 seconds to write a script to take Cell Ranger Multi outputs across 3 different scRNAseq projects (23 samples) w/ GEX, VDJ, BCR info - merge to RDS, QC, filter, normalize, run PCA, integrate, UMAP, cluster and 0 errors!
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2/ The Problem: High-leverage talent is stuck doing low-leverage routing. You act as the bridge between Slack, email, and Calendar. You are an information janitor. 🧹
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