[metadata]
apple-mobile-web-app-capable: yes
apple-mobile-web-app-status-bar-style: black-translucent
apple-mobile-web-app-title: turbopuffer
application-name: turbopuffer
description: Free credits for VC-backed startups. Apply with the code your investor shared.
og:description: Free credits for VC-backed startups. Apply with the code your investor shared.
og:image: https://turbopuffer.com/og/turbopuffer.png
og:title: turbopuffer for startups
og:type: website
og:url: https://turbopuffer.com/startups
theme-color: #f8fafc
twitter:card: summary_large_image
twitter:description: Free credits for VC-backed startups. Apply with the code your investor shared.
twitter:image: https://turbopuffer.com/og/turbopuffer.png
twitter:title: turbopuffer for startups
viewport: width=device-width, initial-scale=1, viewport-fit=cover

[document-links]
Blog: /blog
Company: /about
Customers: /customers
Data Processing Agreement: /dpa.pdf
Docs: /docs
Email: /contact/support
Events: /events
Full-Text Search Learn how to use BM25 full-text search: /docs/fts
Hybrid Search Combine vector and full-text search strategies: /docs/hybrid
Jobs: /jobs
Log in: /login
Namespace metadata Get metadata about a namespace: /docs/metadata
Overview Authentication, headers, and request encoding: /docs/api-overview
Press & media: /press
Pricing: /pricing
Privacy Policy: /privacy-policy
Query Query documents with filters and ranking: /docs/query
Quickstart Get started with turbopuffer in minutes: /docs/quickstart
RSS: /blog/rss.xml
Sales: /contact/sales
Security & Compliance: /docs/security
Sharding: up to 256TB in one index NEW: Scale a single namespace up to 256TB with namespace sharding: /docs/sharding
Sign up: /join
Slack: https://join.slack.com/t/turbopuffer-community/shared_invite/zt-3v27t102a-3RynqZ5A9vuOuAo68X_wFQ
Store: https://turbopuffer.supply
System status: https://status.turbopuffer.com
Terms of service: /terms-of-service
Use Cases: /use-cases
Vector Search Perform approximate nearest neighbor searches: /docs/vector
Write Create, update, or delete documents: /docs/write
https://bsky.app/profile/turbopuffer.bsky.social
https://www.linkedin.com/company/turbopuffer/
https://www.youtube.com/@turbopufferdb
https://x.com/turbopuffer
turbopuffer: /

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[content]
turbopuffer for startups
Sharding: up to 256TB in one index
NEW: Scale a single namespace up to 256TB with namespace sharding
Navigation
turbopuffer
Use Cases
Docs
Pricing
Customers
Blog
Jobs
Log in
Sign up
turbopuffer for startups
turbopuffer offers credits to a select number of startups via our partners. Apply here with the code provided by our shared partner, and we'll let you know when credits are applied to your account.
Eligibility
Startup
—
<50 employees
and
<$50M raised
$8,192
in credits
Scaleup
—
>=50 employees
or
>=$50M raised
$2,048
in credits
+ dedicated Slack
about turbopuffer
turbopuffer is the search engine to connect large amounts of unstructured data to AI. Built from first principles on object storage with an intelligent cache layer, turbopuffer is just as fast as in-memory search engines but orders of magnitude cheaper to run.
We index
1T+
documents for leading AI companies:
apply
1
Sign up for turbopuffer and retrieve your Org ID
Sign up
Log in
2
Apply for credits
First name
Last name
Work email
Company
Partner code
The code your partner shared with you
Org ID
Found in your dashboard (Settings > Organization)
Size / Eligibility
Startup
(
<50 employees and <$50M raised
)
Scaleup
(
>=50 employees or >=$50M raised
)
Apply
faq
I'm already a paying turbopuffer customer — do I qualify?
I have codes from multiple partners. Which do I use?
How long do credits last?
What happens after credits run out?
How do I get a partner code?
Company
Pricing
Store
Press & media
System status
Support
Slack
Docs
Email
Sales
Follow
Blog
RSS
Events
© 2026 turbopuffer Inc.
Terms of service
Data Processing Agreement
Privacy Policy
Security & Compliance
Docs search
esc
Guides
Quickstart
Get started with turbopuffer in minutes
Vector Search
Perform approximate nearest neighbor searches
Full-Text Search
Learn how to use BM25 full-text search
Hybrid Search
Combine vector and full-text search strategies
API Docs
Write
Create, update, or delete documents
Query
Query documents with filters and ranking
Overview
Authentication, headers, and request encoding
Namespace metadata
Get metadata about a namespace
