Deepit Shah
31 posts
Deepit Shah
@deepitshah5
Founder @ StableBrowse | YC P26
San Francisco, CA Katılım Ocak 2026
87 Takip Edilen39 Takipçiler
Soria is an AI Bloomberg Terminal built for sector-specialist investors, starting with healthcare. Agents aggregate hundreds of sources, monitor inflections, and alert investors in real time— and they're already live with major banks and hedge funds.
ycombinator.com/launches/QXr-s…
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tday (@designtday) builds marketing on autopilot for software companies— turning every shipped feature into demo videos, social posts, and graphics, so teams can market as fast as they build.
Congrats on the launch, @cyruskellyadl, @s43stha & @David_l_mcd1!
ycombinator.com/launches/Qd3-t…
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@ycombinator posted our launch video.
Unfortunately for my cofounders, we also have the raw footage.
Here's the behind-the-scenes compilation of everything that went wrong while trying to look professional for 60 seconds
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.@BentoLabsAI is the monitoring and learning layer for long-running agents. Their learning layer gives agents model-jump gains: Sonnet 4.5 went 42.2%→52.4% on TB2 (Internal).
Congrats on the launch, @Abhinavv_soni & @kacppian!
ycombinator.com/launches/Qcw-b…
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This is such an underrated advice. Tokenmaxing helps a lot but the hard part is hopping on multiple customer calls and getting the right insight.
Harj Taggar@harjtaggar
Finding a startup idea is usually a mix of breadth-first and depth-first search. You look at a bunch of branches, then force yourself to go deep on the one that seems most promising. Repeat until something pulls you in. Tokenmaxxing helps with the breadth-first part. But the hard part is still building enough conviction to go depth-first for a while.
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Deepit Shah retweetledi
Engineering Series: Anti-Botting (3/3)
Browser fingerprinting has become one of the most powerful tools in modern anti-bot systems. This post breaks down the fingerprinting toolkit websites use to distinguish real users from automation, covering the signals collected, how they're combined, and why they remain effective even when traditional detection methods fail.
Check out the blog: stablebrowse.com/engineering/fi…
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Great to be featured
Menlo Times@menlotimes
Y Combinator @ycombinator Launches of the Week: (This round-up is for informational purposes only, and in order of the date/time of the launch, from earliest to latest.) 1) Alchemize @TryAlchemize: Founded by Samuel Fu @samuelsfu and Robert Hou, Alchemize is an AI-native customs brokerage. Know More At: tryalchemize.com 2) Superset @superset_sh: Founded by Kiet Ho @FlyaKiet, Satya Patel @saddle_paddle, and Avi Peltz @avimakesrobots, Superset helps engineers run 100s of coding agents in parallel. Know More At: superset.sh 3) Integuru @InteguruAI: Founded by Richard Zhang @richardfzhang and Alan Lu, Integuru turns any platform into a reliable, low-latency, and high-throughput API. Know More At: integuru.com 4) StableBrowse: Founded by Sarthak Awasthi @_sarthak____, Jay Mehta, Deepit Shah, and Somansh Shah, StableBrowse is making the browser layer for your AI agents. Know More At: stablebrowse.com 5) Asendia AI @asendia_ai: Founded by Rihab Lajmi @LajmiRihab and Badis Zormati @zormati_ba, Asendia AI builds AI recruiters for staffing agencies and enterprise companies. Know More At: asendia.ai 6) Scispot: Founded by Guru Singh @IamGurusingh and Satya Singh @productfella, Scispot is the best data infrastructure for biotechs. Know More At: scispot.com 7) Napkin Math @napkinmathclub: Founded by Manuel Castro @manny4c, Claire Nord @clairen19, and Jynnie Tang, Napkin Math is the hyper-personalized AI food journal that helps people. Know More At: napkinmath.club 8) KugelAudio @KugelAudio: Founded by Kajo Kratzenstein and Viktor Presber, KugelAudio is an on-prem enterprise TTS supporting 25+ languages. Know More At: kugelaudio.com 9) RentAHuman @RentAHumanX: Founded by Alexander Liteplo @AlexanderTw33ts, RentAHuman is a marketplace for AI agents to hire humans. Know More At: rentahuman.ai Post: menlotimes.com/post/y-combina… Source: ycombinator.com/launches
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StableBrowse is a new browser layer for AI agents. They enable agents to navigate the web with 70% fewer tokens and 3-4x faster execution.
Congrats on the launch, @deepitshah5, @JayMehta446970, @_sarthak____, and @somanshshah!
stablebrowse.com
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Just saw a @SpaceX ad for the Starship Torch and 20 seconds later @useallowance bought it for me through the new in-app chat 🚀
With AI agents making impulse purchases this easy, I'm gonna need parental controls for myself now 😅
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@vikasmalpani It's great to find more people resonate with this space
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The agent web is forking off the human web. One optimizes for engagement and ads. The other for cost-per-action and structured output. StableBrowse isn't a browser feature, it's the first piece of infrastructure that picks the agent side over the human side.
Y Combinator@ycombinator
StableBrowse is a new browser layer for AI agents. They enable agents to navigate the web with 70% fewer tokens and 3-4x faster execution. Congrats on the launch, @deepitshah5, @JayMehta446970, @_sarthak____, and @somanshshah! stablebrowse.com
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@ycombinator @deepitshah5 @JayMehta446970 @_sarthak____ @somanshshah Seems very interesting. Congrats on the launch
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@MikroJaxi @ycombinator @JayMehta446970 @_sarthak____ @somanshshah This is so true. It matters even more for enterprises, where reliability, scale, and consistency are non-negotiable
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@ycombinator @deepitshah5 @JayMehta446970 @_sarthak____ @somanshshah Model capability gets attention latency and cost decide what reaches production
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@SynabunAI @ycombinator @JayMehta446970 @_sarthak____ @somanshshah Check out stablebrowse.com or book a call so we can share more about how we handle the edge cases!
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@ycombinator @deepitshah5 @JayMehta446970 @_sarthak____ @somanshshah fewer tokens to navigate is table stakes. getting the agent to notice it landed on the wrong page is the real work.
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StableBrowse just launched on @ycombinator's Launch YC!
StableBrowse - Browser Layer For AI Agents. Check them out: ycombinator.com/launches/QWx-s…
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QME
@somi_ai @ycombinator @JayMehta446970 @_sarthak____ @somanshshah Check out our blogs for more context!
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@ycombinator @deepitshah5 @JayMehta446970 @_sarthak____ @somanshshah what's the representation they use to get 70% token reduction? a11y tree pruning or something custom?
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@hanzi_li @ycombinator @JayMehta446970 @_sarthak____ @somanshshah We are trying to solve that with our abstraction layer
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@ycombinator @deepitshah5 @JayMehta446970 @_sarthak____ @somanshshah this is such an underrated bottleneck. half the agent bugs i see are just the browser doing something slightly cursed and the model confidently not noticing
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@0x3mily @ycombinator @JayMehta446970 @_sarthak____ @somanshshah @SentientAGI For sure, would love to see how the integration could look like!
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@ycombinator @deepitshah5 @JayMehta446970 @_sarthak____ @somanshshah 70% fewer tokens is wild, @SentientAGI shipped Harbor w self evolving benchmarks, StableBrowse on top of that could be nuts
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