Today is my last day at @datalabto!
I have very much enjoyed my time here. We punch so far above our weight at @datalabto that it could feel surreal. I love working on small teams and I had a lot of fun being a part of this one.
Much thanks to @VikParuchuri for the opportunity.
I’m leaving Datalab to do two things:
1. I’m going to go broad with @citymeetingsnyc and will be relaunching it under a new brand with a commercial offering this summer. It was a successful experiment and my aims are bigger and more ambitious for it today.
2…
Today is my last day at @datalabto!
I have very much enjoyed my time here. We punch so far above our weight at @datalabto that it could feel surreal. I love working on small teams and I had a lot of fun being a part of this one.
Much thanks to @VikParuchuri for the opportunity.
Shout out of the rest of the team on this app — @_tarunmenta, @supershishy — and those of us with the wisdom to remain off it: Vlad, Alex, and Vanessa.
2. I’ll be available on a consulting basis again soon. While it may look different, I’ve worked with a number of startups and you can read about my work here: https://t.co/DPCsyUYWRC
Datalab is now free to start, with pay as you go 🙌
We heard your interest in a flexible way to test on smaller volumes before scaling up — no fixed monthly commitment. So we built it so you can start parsing for free.
An archivist and former engineer is digitizing 800K pages of Gold Rush history — 1850s court cases, mining claims, land deeds — and making it searchable. The challenge? Many of them are written in 19th-century cursive.
Chandra reads the handwriting his colleagues call "hieroglyphics." A 200-page case that took 3 weeks to transcribe by hand now takes 2 hours.
How the Nevada County Historical Archive did it: https://t.co/o14vBYS7f1
We're launching turbo mode data extraction - 5x faster, 5x cheaper, and 7% more accurate than Azure Content Understanding.
4.5s p50/7s p90 across 1-30 page docs - good enough for realtime user flows.
Releasing Chandra 2.1 — smaller, faster, and significantly better on the two things hardest for OCR models to get right: complex tables and multilingual. Live on the Datalab API today. Details ↓