This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Sverklo is a local-first MCP server that gives AI coding assistants (Claude Code, Cursor, Windsurf) a symbol graph, hybrid search, and diff-aware PR review — without sending your code to anyone's cloud. MIT licensed, single SQLite file, 20 tools over MCP.
Hey PH! I'm the maker of Sverklo.
I built this because every AI coding tool I tried either sent my code to the cloud or gave me keyword search that missed the actual symbols I needed.
So I built a local MCP server that combines BM25 lexical search + ONNX vector embeddings + PageRank over the dependency graph — all running on your machine, all stored in a single SQLite file.
The thing I'm most proud of: I dogfooded it on its own codebase before shipping. Ran 3 structured sessions where I used Sverklo to navigate and refactor Sverklo's own code. Found 4 real bugs in my own tool that unit tests missed:
1. Impact analysis silently dropped repeat call sites
2. Reference search returned 48 substring matches drowning 5 real hits
3. Lookup returned "No results" on valid queries (silent failure)
4. Parser had an off-by-one skipping functions after the first in multi-function files
All four are fixed, regression-tested, and documented in the full unedited session log: github.com/nickshanks347/sverklo/blob/main/DOGFOOD.md
I'd love your honest feedback — especially if you try it on a real codebase and something feels wrong. I triage issues within hours.
npm install -g sverklo && cd your-project && sverklo init
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About Sverklo on Product Hunt
“Local code intelligence for AI editors. No cloud.”
Sverklo was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #70 on the daily leaderboard. Sverklo is a local-first MCP server that gives AI coding assistants (Claude Code, Cursor, Windsurf) a symbol graph, hybrid search, and diff-aware PR review — without sending your code to anyone's cloud. MIT licensed, single SQLite file, 20 tools over MCP.
Sverklo was featured in Open Source (68.3k followers), Developer Tools (511.1k followers) and Artificial Intelligence (466.3k followers) on Product Hunt. Together, these topics include over 164.1k products, making this a competitive space to launch in.
Who hunted Sverklo?
Sverklo was hunted by Nikita Groshin. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Sverklo stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Nikita Groshin