Actively hiring
Vector Search & RAG
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Latest round
Venture round
2025 · 15 mo ago
Team
51-200
employees, estimated range
Hiring now
5
+1 posted in 30 days
The money's age
Due for its next round
15 months since the last round · and hiring
Momentum
38/100
hiring for its size, in the news, rising traction
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Feb 21
On the Hacker News front page A distributed queue in a single JSON file on object storage · 171 points
2025
Raised a round Venture round
Jul 9, 2024
On the Hacker News front page Turbopuffer: Fast search on object storage · 379 points
2024
Raised a round Angel
2023
Founded
Tractionpublic signals, read monthly
Web presence
top 0.03%
of 133.2M domains by links, Common Crawl
Hacker News stories
31
best: 379 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Venture round | 2025 | — | — | betakit.com |
| Angel | 2024 | — | — | sacra.com |
Founders and leadersfrom filings, registers and the company's site
Simon EskildsenCo-founder & CEO
Justine LiCo-founder & CTO
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Overview
turbopuffer builds a serverless vector and full-text search engine for AI applications that need to search very large amounts of fresh data. It separates compute from storage by keeping indexes on object storage, and the company reports more than one trillion documents under management, over ten million writes and 25,000 queries per second. Founded in Ottawa in 2023 by former Shopify engineers Simon Eskildsen and Justine Li, it counts Anthropic, Atlassian, Cursor and Notion as customers and is backed by Lachy Groom and Thrive Capital.
News
Training a Specialist Code Search Agent with turbopuffer
How post-training and indexed retrieval make large-scale code search faster, cheaper, and more accurate.
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turbopuffer (@turbopuffer) on X
fal just made it possible to generate video faster than you can watch itturbopuffer makes it possible to search every video, image, and 3D model you generate on @fal 300M+ assets 225k+ namespaces 17ms p50 hybrid latencycustomer log: https://t.co/bVIzI2f1j
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Report
How to ship a database every day
We deploy many database upgrades every day across 100 public, single-tenant, and BYOC clusters. It would be insane to use Terraform or Helm to do that, so we built our own control plane.
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Report
Turbopuffer vs. Manticore Search on a couple of cheap VPS
A head-to-head benchmark on 975K 1536-dim vectors: turbopuffer
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Report
Inside the fastest-growing Canadian AI startup you've never heard of
Ottawa-based Turbopuffer could be a blueprint for the kind of tech company Canada needs to fulfill its AI ambitions
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Report
VDBBench Leaderboards Zilliz
Compare cloud vector database insertion readiness, search throughput, cold latency, and cost profiles using VDBBench raw benchmark artifacts.
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Report
Simon Eskildsen (@Sirupsen) on X
turbopuffer crossed $100M run-rate in March. 19mo after $1M. Profitable & $1M raised.Cursor・Anthropic・Notion・Cognition・Harvey・Bridgewater・Ramp・Linear・Legora・Superhuman・Atlassian・GranolaWe'd be nowhere without them. We work like hell to exceed their expect
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Training SID-1 to beat GPT-5 at search with 1k+ QPS RL
SID-1 is an agentic search model that is 24x faster than GPT-5.1-high, 374x cheaper than Sonnet 4.5, and achieves 1.9x higher recall than traditional RAG pipelines. Here's how we trained it using large-scale RL on turbopuffer.
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Show more news
Tech stack
Technologies named in job postings at turbopuffer over the last 12 months, by layer, with the share of postings for each.
Technologies in use
27
Postings analysed
7
Stack modernity
76/100AI adopter
Languages
Rust
Python
C++
Java
Frameworks & libraries
Tailwind CSS
Radix UI
Django
Next.js
Cloud & platforms
AWS
Azure
GCP
Kubernetes
AI & ML
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Full turbopuffer tech stack
27 technologies · by team · pay by technology · changes · similar stacks
Products
turbopuffer search engine
Vector and full-text search built on object storage, with compute scaled separately. It serves AI products that index trillions of vectors.
turbopuffer.com
People

Simon Eskildsen
Co-founder & CEO
Former Shopify infrastructure engineer who co-founded turbopuffer in 2023 and leads it as chief executive.

Justine Li
Co-founder & CTO
Former Shopify engineer who co-founded turbopuffer and leads its engineering as chief technology officer.
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data
Growth
Hiring Momentum
62/100
Growing
Open positions
5
1 opened / 3 closed in 30 days
Median time-to-fill
135 days
faster than 11% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Sales
40% ▲
Data Science
20% ▲
DevOps
20% ▲
Finance
20% ▲
Activity Timeline
Added Reranking to stack
Sep 2026
Added eBPF to stack
Sep 2026
Added Linux to stack
Sep 2026
Added Java to stack
Sep 2026
Added IAM to stack
Sep 2026
Added Google GKE to stack
Sep 2026
Added C++ to stack
Sep 2026
Added Azure AKS to stack
Sep 2026
Added Amazon EKS to stack
Sep 2026
Added SQL to stack
Sep 2026
Added AI Agents to stack
Sep 2026
Added GCP to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
0
Countries
1
Ottawa
Canada
HQ
50-200 est. staff
Jobs
≈ $61k – $120k per year (Estimated) • Remote (Canada) • Full-Time
Java
Rust
C++
Reranking
DevOps
GCP
Azure
AWS
Kubernetes
Amazon EKS
Google GKE
Azure AKS
eBPF
Linux
Apply
≈ $66k – $142k per year (Estimated) • Remote (Canada) • Full-Time
Python
JavaScript
TypeScript
Kubernetes
Linux
Apply
Financials
Latest round
Venture - Series Unknown
Funding rounds
2
Investors
1
Key Investors
Thrive Capital
Thrive Capital is a New York venture capital firm founded by Joshua Kushner; it invested in turbopuffer in 2025.
thrivecap.com






