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Nobody's built truly proactive AI, because it requires running inference on your entire life. In the cloud, that's insanely expensive and a privacy nightmare.
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New accelerator entry · 2026-08-24 · the record
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Nobody's built truly proactive AI, because it requires running inference on your entire life. In the cloud, that's insanely expensive and a privacy nightmare. But not on your own chip. Every night, Sentient's on-device LLM wakes your Mac and understands what's new in your life (email, messages, files, Granola transcripts...), entirely locally, and distills it into a knowledge base. You wake up to your work already prepared: the reply you forgot, drafted from your own context; the subscription you never use renewing tomorrow, caught; the report you promised in the group chat, ready to send. Everything is one click from firing through computer use, and nothing fires until you click. Or click your Mac notch anytime and say "finish this for me." Sidekick takes over the thing you were doing with its own cursor while you move on. On-device inference at this scale was supposed to be impossible: devices too slow, and models too dumb. So we built the stack ourselves: a custom LiteRT-LM fork (KV-cache reuse, speculative decoding, custom k-quants) that runs nightly on 8 GB Macs. The user's hardware does ~90% of the compute, and their own ChatGPT or Claude subscription does the rest, so our marginal cost is ~$0, and our servers store nothing. We soft-launched late July with one Reddit post: top of r/macapps, 2,000+ users in 48 hours, $0 marketing. Free and open source for consumers; the same engine on the work stack (Slack, Granola, Linear, Notion) becomes the enterprise business.
Read from the page's own HTML and response headers on 10 September 2026, at https://sentient-os.ai/. Each badge matched a string the site serves about itself — hover one to see which. Nothing here is a traffic, ranking or revenue figure: those cannot be read off a page and are not claimed.
Most-starred repository: sentient-os — 484 stars, Swift.
Counted 2026-09-06 across repositories the account owns; forks are excluded.
Checked away from the directory entry. Neither line below comes from the company's Y Combinator page.
An on-device LLM understands your entire life, then proactively offers to get your work done through computer use. Private by design. Free and open source.
The title and description the site itself served, answering 200. Not a cached copy and not the company's directory entry — what was live when we asked.
Counted only where a thread links to this company's own site, announces it by name on that forum, or names it beside its own Y Combinator batch. A thread whose title merely carries the words is not counted — a name is not an identifier. Hacker News is not us, and nothing above is our opinion of the company.
Founder & CEO, Sentient OS (YC F26). Top 12 AI dev on GitHub at 18. Featured in WIRED & 40+ publications, twice: - Hacked iPadOS onto the iPhone 17 Pro via a bootrom exploit (1M+ views). - Writing Tools, my open-source writing assistant that beat Apple Intelligence to market (30K+ users, 2.4K+ stars). On-device inference nerd since high school; AIM India's expert voice on Apple's MLX. Building on-device AI that understands your entire life and proactively finishes your work with computer use.
Founders, titles and bios as the company published them. Photographs are our own copies of the ones on that record, so they do not break when the original link expires.
No investor is drawn from a Form D — the form states how many invested and never who. The one investor on this graph is named because a batch has exactly one.
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Sourced from the company's Y Combinator directory entry, from the company's own site, read directly on 2026-09-06 (sentient-os.ai), from the public GitHub account that record links to (Sentient-OS-Labs), and from Hacker News, where 1 thread met the matching rule stated beside the count.
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