
eng @turbopuffer | ex: @dragonflydbio , @gitpod , @BuoyantIO
Hyderabad, India
Joined February 2015
- Tweets3.9K
- Following2.2K
- Followers1.9K
- Likes74.2K
tarun retweeted
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
tarun retweeted
I can’t stress enough how little an idea matters compared to the agency of the people executing the idea.
I have had the privilege of knowing and sometimes even working with some of the most successful people (by various metrics).
The difference between mediocre and excellent work and outcomes is predominantly one of agency.
In practice this means: they dont wait for things to happen to them they go out and make things happen for them.
They don’t wait for someone else to do something, for someone to teach them, for someone to give them the path, etc. They just go out and find a way to do it.
I think the single biggest superpower these people have is the realization/belief that the world around them is completely mutable. Most everything that happens is because a person made it happen.
I used to tell people to look around the room you’re sitting in. Look at everything. Every noun. It almost all exists because a person willed it into existence. Nothing is stopping you from doing the same.
I see people online all the time dismissing someone else’s success because “I had that idea first” or whatever. I mean… yeah? If so then the difference is… you. So a bit of a self own whenever I hear that.
Number one tip: act with agency.
tarun retweeted
turbopuffer's first public Azure region, azure-eastus2, is now in private preview
contact us for access
tarun retweeted
i’ve had jobs where teams just accepted that 500s were a thing that happened (potentially correlated with ex-googlers)
but nope, we will page an operator at any time of night if our application returns a single 500 error.
500s are for real problems which either indicates an incident starting or a bug that needs to be fixed
completely aligned with tpuff
tarun retweeted
Got a note from the @turbopuffer team that they were seeing 500 errors on a small number of our requests and they would investigate. Found the issue, patched it, and shipped it to prod. Continually impressed with their team. Can't think of another vendor has been so proactive
tarun retweeted
Globe&Mail wrote a generous piece about turbopuffer theglobeandmail.com/business…
tarun retweeted
turbopuffer crossed $100M run-rate in March. 19mo after $1M. Profitable & <$1M raised.
Cursor・Anthropic・Notion・Cognition・Harvey・Bridgewater・Ramp・Linear・Legora・Superhuman・Atlassian・Granola
We’d be nowhere without them. We work like hell to exceed their expectations.
tarun retweeted
SID-1 is an agentic search model by @SID_AI
→ 1.9x recall over RAG + rerank
→ 24x faster, 99% cheaper than GPT-5.1
trained using large-scale RL on turbopuffer at 1k+ QPS bursts over 10M+ document corpora across thousands of steps
tpuf.link/sid-1
tarun retweeted
A conversation with @sirupsen on scaling Shopify, building turbopuffer, and the future of databases.
0:00 - Scaling Shopify through flash sales and outages
8:13 - How top infrastructure teams collaborated in the 2010s
10:35 - Engineering principles from Logrus and on-call
17:38 - The story behind Simon’s famous-ish blog, Napkin Math
23:05 - Why new database companies keep winning
32:21 - How Simon became a fan of databases
35:45 - AI coding, and where agents still fail
42:10 - Hiring P99 engineers in the AI era
48:45 - What’s next for databases
tarun retweeted
Starting to map the graph for a founding engineer at Perfloop.
Looking for real systems depth - perf, infra, observability, AI infra, devtools, databases, runtimes - plus extreme agency, product/architecture judgment, and native agentic building.
Europe / near-Europe overlap preferred.
1/ When we launched Notion AI Q&A in Nov 2023, we knew we were embarking on an ambitious journey.
What we didn’t anticipate was how quickly we’d need to scale—or how much we could optimize costs.
Notion vector search over the past 2 years: 10x scale, then 1/10th cost. 🧵
tarun retweeted
we’ve reduced query prices by up to 94%, thanks to infrastructure improvements we've made under the hood
puff harder, for much less
tarun retweeted
tpuf ANN v3, for when you need to index the entire web
100B+ vectors @ 50ms p50 / 200ms p99 latency
blog: tpuf.link/ann-v3
tarun retweeted
december changelog
tpuf.link/chlog
![turbopuffer December 2025 changelog 🧱 Redesigned inverted index structure for faster FTS queries 📤 New object storage-native indexing queue for up to 10x faster queue time 🔦 kNN exact search for 100% recall on filtered vector search queries 🪣 Return a max number of search results per attribute value using limit.per 🇨🇦 AWS ca-central-1 (Montreal) region 🌏 Cross-region backups guide 🤝 Link multiple orgs to a single account for unified billing, SSO, and roles [opt-in, beta]](https://pbs.twimg.com/media/G-uoNxObQAosayX.png?name=small&format=webp)
ALT turbopuffer December 2025 changelog 🧱 Redesigned inverted index structure for faster FTS queries 📤 New object storage-native indexing queue for up to 10x faster queue time 🔦 kNN exact search for 100% recall on filtered vector search queries 🪣 Return a max number of search results per attribute value using limit.per 🇨🇦 AWS ca-central-1 (Montreal) region 🌏 Cross-region backups guide 🤝 Link multiple orgs to a single account for unified billing, SSO, and roles [opt-in, beta]
tarun retweeted
yesterday: short human queries, scalar CPUs
today: long LLM queries, wide SIMD lanes
for FTS v2, we use a vectorized MAXSCORE algorithm instead of WAND, because dumb & serial beat smart & random algorithms on modern CPUs
tpuf.link/maxscore
tarun retweeted
tpuf ANN v3 can search 100 billion vectors with a p99 of 200ms
simplicity scales
[v3 in beta, unfiltered search, 1024D, k=10, 92% recall]



















