Phind.
Developer-first AI search — code-grounded answers with source citations.
What it is.
San Francisco-based AI search engine built for developers. Phind composes answers from documentation, GitHub repos, Stack Overflow, and curated technical sources — with code blocks, cited inline. The in-house Phind-405B model handles most queries, with Claude and GPT-5 available on Pro. Backed by Y Combinator, with traction inside teams using Phind as the first stop before Cursor or Claude Code.
Where it fits.
Engineers reaching for documentation, framework lookups, and concrete code examples. The query pattern that used to end on Stack Overflow now lands on Phind for many developers. Particularly strong on framework-specific questions where Google surfaces stale or LLM-generated SEO content. Less suited to general-purpose queries — Phind is opinionated about its developer scope.
- Code-grounded answers with inline citations to docs and repos
- Phind-405B tuned specifically for technical retrieval
- Free tier generous enough for daily developer use
- Scope narrow — not a general-purpose search engine
- Citation accuracy occasionally misses on framework version mismatches
Frequently asked.
Is Phind a Stack Overflow replacement?
For many engineers, effectively yes. Phind composes answers from documentation and code with citations — faster than scrolling answer threads. Stack Overflow's traffic decline tracks this shift.
What is Phind-405B?
Phind's in-house technical model. Tuned on code and documentation, optimised for developer-query patterns. Available across all tiers including free.
Phind or Perplexity for code questions?
Phind, by a margin. Perplexity is broader and shallower on technical depth. Phind cites repos and framework docs the way a developer reads them.
