Jyosalabs vs Turbopuffer
Jyosalabs vs Turbopuffer, compared side by side on 12 data points: what each one does, how big it is, what it has raised, the tech running each site, and what users report. We score both out of 100 on traction, team and visibility: Jyosalabs is on 9/100 and Turbopuffer on 56/100.
Where each one leads
Jyosalabs
Leads on none of the measures we hold for both companies.
Turbopuffer
- our overall score: 56/100 against 9/100
At a glance
| Measure | Jyosalabs | Turbopuffer |
|---|---|---|
| What it is | Expert AI consulting for startups and enterprises, specializing in LLMs, RAG systems, vector search, and production ML. | AI infrastructure for building intelligent applications. |
| Category | AI Consulting, Large Language Model, Retrieval Augmented Generation, Vector Database | Artificial Intelligence, Developer Tools, Machine Learning, AI Infrastructure |
| Sells toBusiness model | B2B | B2B |
| Offering | Services | Platform |
| Founded | Not published | 2022 |
| Headquarters | Not published | San Francisco, USA |
| Status | Active | Active |
Size, funding and growth
| Measure | Jyosalabs | Turbopuffer |
|---|---|---|
| Employees | Not published | 36 |
| Total funding | Not published | $12.0M |
| Latest round | Not published | Seed |
| Valuation | Not published | $1.1B |
| LinkedIn followers | Not published | 5,902 |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Jyosalabs | Turbopuffer |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 9/100 | 56/100 |
| Traction | Not published | 51/100 |
| Team | Not published | 30/100 |
| Search visibility | 12/100 | 45/100 |
| Quality | Not published | 68/100 |
| Agent readinessHow well an AI agent can read and act on the site | D (44/100) | D (48/100) |
| Domain ratingLink authority, 0-100 | Not published | 71/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Jyosalabs | Turbopuffer |
|---|---|---|
| Hosting | Vercel | Vercel |
| CDN | Vercel | Vercel |
| CMS | Lovable | Ghost |
| Frameworks | Not detected | Next.js, Tailwind CSS |
| Analytics | Google Analytics 4 | Not detected |
| Open source | No | Yes |
What users say
| Measure | Jyosalabs | Turbopuffer |
|---|---|---|
| Reddit sentimentThreads we track | Not published | 3 positive, 1 negative across 6 threads |
“Is Turbopuffer the IKEA of AI search?. Doing $100M on $1M raised with ~20 employees. Winning deals with Anthropic, Notion, and Cursor with 100 fewer employees and 1/100th of the capital. You can think of Vector databases as the “stockrooms””r/StartupIntel
Jyosalabs vs Turbopuffer: common questions
Which is better, Jyosalabs or Turbopuffer?
On our 0-100 score Turbopuffer rates higher (56/100 against 9/100). The score weights traction, team, visibility and profile completeness, so it reflects company strength rather than which product suits you. We compare the two on 12 data points above: read the rows that match what you are buying for.
How do Jyosalabs and Turbopuffer compare on the numbers?
Turbopuffer leads on our overall score (56/100 against 9/100).
What do real users say about Jyosalabs and Turbopuffer?
Turbopuffer: 3 positive and 1 negative mentions across 6 Reddit threads we track, mostly in r/StartupIntel.
Read the full Jyosalabs review and pricing or the Turbopuffer review and pricing. You can also browse other Jyosalabs alternatives we track.