AI has terrible memory
Introducing Micro, an agent that remembers more than Claude, Codex & OpenClaw
Leave a comment (eg "memory") & I'll send 30 days for free to try it
We forked Chromium and bolted on a lock-free, zero-copy, low-latency shared memory ringbuffer written in Rust
We needed to IPC 100+ MB/s of raw video, and Chromium's WebSocket implementation is dreadfully inefficient
At @recallai, we ran 18M EC2 instances last month.
We use Rust to process 3TB/second of raw video in real-time.
If you're a cracked engineer in SF, DM me your Github – if you interview with us, we’ll gift you a free bundle of the seminal K&R’s C, TLPI, TCP/IP Illustrated Vol 1.
To celebrate the holiday season, we’re launching 25 Days of Agents - an advent calendar of exclusive deals from top AI companies to help you build your own agents.
Every day until December 25th, we’ll unlock a new deal from partners including
@Railway@Cloudflare@convex
Just integrated @RecallAI's desktop SDK into ToDesktop Builder.
In 30 mins you can take your web app and ship it as a desktop app with:
✓ Meeting detection and recording out of the box
✓ Automatic transcription
✓ Speaker Identification
👇 Full tutorial and repo in thread
This video cost $125K.
Every AI product needs conversation data.
CRMs. Coaching tools. Clinical notes.
2,000+ companies build on @recallai - from Hubspot and ClickUp to Datadog.
To turn conversations into data their AI products can actually use.
Because we’re the API for
Most founders quit right before the breakthrough.
David Gu from Recall.ai nailed something I see all the time: "Some things won't work until you've sunk 6 or 12 months into them."
Three months building a product? That's not enough time to build anything
Big. Update.
@recallai already powers billions of minutes of meeting recording through our Meeting Bot API (used by 2000+ companies, including HubSpot, ClickUp, and Apollo).
But bots aren’t the only way to capture conversations.
Today, we’re introducing the Desktop Recording
Nearly $20m in revenue today, all with a tiny team of less than 30 people.
But @davidgu had to will @recallai through years of the lowest-lows to get to this point, when most other founders would've given up long ago.