The cost estimates were rough illustrations for high-usage cloud setups (100 devs × 100 searches/day = ~3.65M queries/year):
Vector embeddings: ~$0.003/query (OpenAI embeddings + managed DB like Pinecone) → $10,950/yr Sourcegraph: Older Enterprise rate (~$91/user/mo) → $109k/yr Mantic: $0 (local, no APIs/DBs)
You're spot on—these are high-end, Weaviate (esp. self-hosted/compressed) can be way cheaper for moderate use like your ~60 users.
I leaned toward worst-case managed pricing to highlight the "no ongoing cost" upside.
Let me know how the trial feels!
I just shipped v1.0.13 (literally 5 minutes ago) that implements all three environment variables:
• MANTIC_IGNORE_PATTERNS - Custom glob patterns to exclude files • MANTIC_MAX_FILES - Limit number of files returned • MANTIC_TIMEOUT - Search timeout in milliseconds
Also fixed the regex bug that was breaking glob pattern matching.
Appreciate you pointing it out, having users actually test the features is way more valuable than my own QA.
Some context: I published this 48 hours ago and it was auto-listed on MCPMarket (the MCP tools directory). Got 700+ organic downloads with zero marketing—developers were actively searching for exactly this solution.
The "Git Accelerator" optimization story:
Initially used a file walker that took 6.6s on Chromium. Profiling showed 90% was filesystem I/O. The fix: git ls-files returns 480k paths in ~200ms. Added smart heuristics for untracked files (only scan dirs <50k files), bringing total to 0.46s.
Why this matters: Agents can't wait 10 seconds for search. Sub-500ms makes it feel instant, changing how they explore codebases.
Installation: • Cursor: npx mantic.sh@latest • VS Code: npx mantic.sh@latest • CLI: npm i -g mantic.sh
Limitations: Mantic is optimized for precise queries ("find stripe webhook") where structure matters. For fuzzy exploratory search, traditional embeddings may still be better. Curious if HN has ideas for hybrid approaches.
Happy to answer questions!