Local-First AI Screen Memory App (screenpipe)
Record everything on your screen locally, transcribe it with Whisper, and sell searchable work memory to people and AI agents.
In plain English
On Mac, Windows, and Linux computers, this desktop app records your screen and audio, then lets you search that history with AI. Speech is written down on the computer, speakers can be told apart, and the history stays on the machine unless you choose a cloud AI. Coding and chat helpers can ask about that history, including meeting notes. A free plan exists, and paid plans are for a full history, because nobody remembers every window and meeting. The AI does most of the capture, the write-ups, and the search, while the person running the app still builds the capture software, handles larger sales, and explains the privacy choices.
$50k MRR, up from $15k in 4 weeks (Louis Beaumont on LinkedIn, Feb 2026); revenue up 10x during YC S26 (Dealroom, Sep 2026)
Operator: Louis Beaumont
A named, real operator ran this and shared results publicly. The figures are their own.
- Founder post: screenpipe went from $15k to $50k MRR in 4 weeks (Feb 2026) ↗
- Founder post: YC S26 revenue growing 20-30% week over week (Jul 2026) ↗
- Dealroom note: founder reports 10x revenue growth during YC, stated at YC S26 Demo Day (Sep 2026) ↗
- Live pricing page: Free, Basic $21/mo billed annually, Business $42/seat/mo billed annually (seen Oct 24, 2026) ↗
- About page: sole founder Louis Beaumont, created in 2024; local Whisper, local SQLite, optional Ollama ↗
Not disclosed.
The tool stack
Local speech-to-text for meetings and system audio
Ollama ↗Optional local LLM for search, summaries and Q&A over captured history
SQLite ↗Local database for extracted text, transcripts and frame metadata
screenpipe (reference product) ↗The operator's live product, useful to study before building
Prices are the vendors' published list prices as researched in Oct 2026 and change often — always check the vendor's pricing page.
Step-by-step setup
- Build an event-driven capture loop that grabs a screenshot only when the active app, window or content changes, and read text through OS accessibility APIs with OCR as a fallback.
- Transcribe microphone and system audio on-device with Whisper and store everything in a local SQLite timeline.
- Add natural-language search on top: a local model through Ollama for privacy, with optional cloud models (ChatGPT, Claude, Gemini) for users who want them.
- Expose the history to AI agents through an MCP server and a localhost REST API, so tools like Cursor and Claude Desktop can query it.
- Ship a signed desktop app with a free tier and paid plans, then grow through the open repo, developer content and team seats.
What's automated vs. the human 15%
The machine does
- Continuous screen and audio capture, text extraction and OCR
- Local Whisper transcription with speaker identification
- AI search, daily summaries, meeting notes and scheduled workflows
- Serving context to AI coding and chat assistants over MCP
You still do
- Writing and maintaining the cross-platform capture engine
- Pricing, licensing and enterprise sales
- Security reviews and privacy communication
- Community, support and developer relations
Overview
screenpipe is a desktop app for macOS, Windows and Linux that records what happens on your screen and in your audio, then makes all of it searchable with AI. It reads text through the operating system’s accessibility APIs, falls back to OCR, transcribes meetings and system audio with Whisper running locally, and stores everything in a local SQLite database.
Louis Beaumont created it in 2024 and is the sole founder. The core is source-available. Users can keep everything on their own machine by using local models through Ollama, or connect ChatGPT, Claude or Gemini for search and analysis. It also runs as an MCP server, so AI coding and chat assistants can query a user’s work history directly.
This is a local-first stack. Capture, transcription and storage happen on the user’s device, and the cloud is optional. The business sells convenience and full history on top of that: a free tier, paid personal plans and per-seat business plans.
Realistic income
All figures come from the founder and were not checked by a third party. In February 2026 Louis Beaumont posted on LinkedIn that screenpipe went from $15k to $50k MRR in 4 weeks. In July 2026 he posted that revenue during YC S26 was growing 20-30% week over week. A Dealroom note from September 2026 reports that, at YC S26 Demo Day, he said revenue grew 10x during YC. That note gives no dollar figure.
This is one funded, technically deep founder’s result after years of open-source work. It does not predict what a new builder will earn.
How to build your own
- Don’t try to copy all of screenpipe. Pick one slice of memory, such as meeting-only memory for one profession, or a searchable reading history for researchers.
- Use whisper.cpp for free on-device transcription and SQLite with full-text search for storage. Both are free.
- Run a small local model through Ollama for summaries and Q&A, so your privacy pitch holds up with no API bill. Offer cloud models as an opt-in upgrade.
- Expose an MCP server early. It turns your app into context for AI agents, a strong hook with developers.
- Start with a free tier and a single paid plan. Add team seats once people ask for sync and shared billing.
Risks
- Always-on screen and audio recording raises serious privacy and consent issues, especially for recording other people in meetings. Recording-consent laws vary by place.
- The capture engine is hard engineering across three operating systems, and OS updates can break it.
- Big platforms are competing here (Microsoft Recall, Limitless/Rewind, Granola).
- Revenue figures are founder-reported and not verified by a third party.
- Storage grows fast (the pricing page cites about 30 GB per month of capture), which can put off users with small drives.
*Income figures are illustrative ranges based on public pricing and typical outcomes reported by practitioners, not guarantees. Most new online businesses earn little or nothing at first. Not financial, legal or tax advice.
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