screenpipe (YC S26) @screenpipe
AI can now remember your activity across apps and websites | backed by @ycombinator (hiring) | npx screenpipe record | or download today 👇 screenpipe.com/?utm_source=sc… San Francisco Joined June 2024-
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1 trillion tokens in YC. What we learned about AI agents, in 2.5 minutes.
What is process mining, and why do AI agents need more than your system logs? 85-second explainer. Narration is AI-generated. screenpipe.com
We're happy to announce that we won top 2 in YC S26 tokenmaxxxer, and earned this beautiful OpenAI keyboard! Louis unboxes the OpenAI Codex Micro and tries the controls: agent status lights, switching chats, voice input, and a few first-use surprises.
In private beta, used by Fortune 200 Start collecting data today: screenpipe.com Companies decide where the data lives, employee control the data
Introducing Screenpipe Workflows. Continuously record, map, and maintain your company workflows, so you can scale work with tokens instead of labor
Introducing Screenpipe Workflows. Continuously record and map your company workflows, locally, and turn how work gets done into instructions for AI. In beta: screenpipe.com
🚀
Screenpipe revenue grew 65% last week and we're in the top YC S26 revenue
launch-day offer: use code BUSINESS20 for a discount on annual plans. ends August 28 at 11:59pm PT.
Today we’re launching screenpipe. AI that records your computer work to power agents. Ask about the call, bug, or document without explaining the work all over again. See what changes when your AI already has the context: producthunt.com/posts/screenpi…
You shouldn’t need a long prompt, 10 screenshots, and 2 meeting transcripts before your AI can help with work you already did on your computer.
Your Claude Code and Codex chats no longer have to live in separate silos. Screenpipe can import both local histories, find one exact conversation, then ask before sending a follow-up. Source files stay unchanged. Nothing uploads during import. screenpipe.com/integrations/c…
everyone need this right?
i really need something that literally records every single work thing i do and uploads to a single repo is there a good solution for this
the biggest bottleneck for AI adoption is people automate things based on notion docs or what people think they know what to automate screenpipe makes your agents know what you're actually doing, without turning into surveillance or spending millions on frontier labs :)
. @screenpipe CLI 🤝 DGX Spark w/Qwen 3.8 FULLY LOCAL screen recording + FULLY LOCAL AI inference = The ability to recall anything + identify AI optimizations without sending private data to Claude. It's a thing of beauty! 🙌
i started using using local models (qwen3.5) via @lmstudio and also using @screenpipe for always on local screen recording. And i'm finally hearing the Apple M4 Max fans running. Forgot what Intel macs used to be like to work with lol.
Claude can now pick up from what you actually did. Ask for a standup. screenpipe gives Claude the selected history behind it while raw history stays local by default. Computer history for Claude. screenpipe.com/?utm_source=x&…
Download ↓ screenpipe.com/?utm_source=x&…
What if Grok Bot continuously learned how you work and stopped making you rebuild context in every prompt? Computer history for Grok Bot, powered by Screenpipe.
Introducing Cursor Computer History. Grok 4.6 remembers what you did, picks up where you left off, spots work patterns, and turns repeated workflows into skills. @elonmusk @mntruell Download 👇 screenpipe.com/?utm_source=x&…
@Filecoin yep screenpipe is portable
introducing screenpipe: it records and learns how you work and turns it into a searchable memory, SOPs, and AI agents open source, local-first, 20K+ GitHub stars, 1,900+ forks, and 130+ contributors
Screenpipe now supports @cursor_ai, codex, claude code, github copilot, pi as harness Power your agents by your agents by your computer history, any model, portable to all your devices and your company
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4K Followers 8K Following scaling work through observation @screenpipe @ycombinator s26 (hiring) - @negentropy_labs - 1T tokens/mYou might like
