many of our customers make use of namespaces to model tenants (encryption, performance, isolation)
we've been working on significantly evolving the caching layer.
we've been working on significantly evolving the caching layer.
we're redesigning our caching tier
current: whole files evicted in the order written (FIFO)
new: smaller chunks, least-read evicted first (LFU)
on a cluster where a small fraction of data gets most of the reads, this improves byte hit ratio by ~2x → p99 query latency drops ~2x
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YOU CAN SEE EVERYTHING
is what I told @zebriez this summer. but this time you won't be left guessing who we are, because she's articulated it beautifully.
colossus.com/article/sane-a…
is what I told @zebriez this summer. but this time you won't be left guessing who we are, because she's articulated it beautifully.
colossus.com/article/sane-a…
I was drawn to Silicon Valley because of people's healthy relationship to work.
connection to mission. friends. ambition. financial security. hard work. but also free time. positive sum vibes. pride in being a part of it. joy.
this is no longer the case. my friends have gone mad. and there's almost nowhere to hide.
refusing to accept this fate, I went searching for safe havens.
I found (at least) one in ottawa and spent the last 6 months with @turbopuffer where they've got silicon valley chops, canadian kindness, and danish sense of humor. it's been the perfect medicine.
I wrote about it in @colossusmag
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models do not produce simplicity. they hedge, for completeness.
that's your value. the lack of this skill is called AI slop.
that's your value. the lack of this skill is called AI slop.
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I suggested he feed a puffer fish icons but this works too I guess
excited to have another 🇩🇰 on the team!
excited to have another 🇩🇰 on the team!
drag to install a new designer… today is my first day at @turbopuffer 🐡
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all this chatter about SFO
I can set my alarm for 5am and be at the gate 525am having pre-cleared US customs in Canada, in the best city in the world (Ottawa)
I can set my alarm for 5am and be at the gate 525am having pre-cleared US customs in Canada, in the best city in the world (Ottawa)
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3/7 of queries on v3 are now at or better than parity with v2... and they're just getting started.
turbopuffer.com/v3
turbopuffer.com/v3
filters on tpuf v3 are now faster than prod (v2)
instead of filtering row-at-a-time, v3 will push compute down to storage to find shortcuts. example: if all rows in a block have the same value for x, then x=8 reduces to one check
more in the v3 devlog: [tpuf.link/v3/2026-10-08]
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“I’m sorry, but this requires more compute on your end before I can react”
is one of the more annoying things I might response to people on the team. regrettably, there is only so much founder compute available.
make things easy to react to
is one of the more annoying things I might response to people on the team. regrettably, there is only so much founder compute available.
make things easy to react to
the more compute used at write time, the less required at read time
true in human communications & databases
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3 years ago today 🫡
After 4 months of focused work, I'm launching what is, to my knowledge, the first truly serverless vector database: turbopuffer.com
$1/month per million vectors (10-70x cheaper than others)
$4 per million queries
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the more compute used at write time, the less required at read time
true in human communications & databases
true in human communications & databases
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tpuf v3 is going to be a monumental change in what turbopuffer is capable of. a new foundation for speed and eng velocity.
it now passes tests—watch us grind performance over the coming days and weeks.
it now passes tests—watch us grind performance over the coming days and weeks.
we're changing tpuf's storage architecture so we can keep pushing the search frontier
the new engine (v3) now passes CI, but we have to make it fast before we ship it to prod
we're grinding query plans in public until v3 wins on everything
follow along: turbopuffer.com/v3
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when you puffmax, we can perfmaxx
moving embedding into turbopuffer lets us parallelize the embedding call with other work in the query plan
whole-system puffin' shaves 100+ ms off your semantic searches
turbopuffer.com/blog/native-em…
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GTM is a whole company function
everyone at WarpStream sells, but @turbopuffer takes it to the next level
the employees will look you in the eyes at a dinner party after just meeting you five seconds ago and ask “does your company puf? should you be puffin’?” with a completely straight face
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it is true, we are of course hiring!
45+ startups hiring in this thread:
1. @turbopuffer - remote, NYC, Sf
2. @convex - SF
3. @fal - SF / remote
4. @firecrawl - SF / remote
5. @attio - SF, NYC, London + remote
6. @linear - North America & EU remote
7. @warpdotco - NYC
8. @speak - SF / Seoul / Tokyo
9. @BrightHarborCo - Austin
10. @Vizcom - SF & US remote
11. @PostHog - NA + EMEA
12. @sievedata - SF
13. @artie_labs - SF & remote
14. @concurrencehq - NYC / SF
15. @spacexai - global
16. @EnclaveAI - NYC, SF, TLV
17. @tweetsbyport - US, TLV
18. @RevelHQ - LA / SF / NYC
19. @SnorkelAI - SF & NYC
20. @neatlogs - remote
21. @BabaHQ - NYC
22. Tremendous - remote (Americas)
23. @nucleussec - Florida / fully remote
24. Searchable - London / Salt Lake City
25. @flytbase - Pune, India
26. Indices - London / SF
27. Duna - across Europe
28. @aiunderwriting - San Francisco
29. @zenml_io - SF
30. @nexcade_ai - London
31. Social Fetch - remote
32. @gumloop - SF + Vancouver
33. @LulaConvenience - US remote
34. CLAR AI - Munich
35. @valkai - NYC / SF
36. @KeycardAI - SF
37. Latent Defense - NY
38. @DataUAcademy - Southeast Asia + global
39. @Nooqbook - remote
40. @saasflashstudio - remote
41. @SkydioHQ - US
42. @NotionHQ - global
43. @Replit - global
44. @forus - NYC
45. @harmonic_ai - NYC
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