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Use Claude Code to Query 600 GB Indexes over Hacker News, ArXiv, etc.

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Paste in my prompt to Claude Code with an embedded API key for accessing my public readonly SQL+vector database, and you have a state-of-the-art research tool over Hacker News, arXiv, LessWrong, and dozens of other high-quality public commons sites. Claude whips up the monster SQL queries that safely run on my machine, to answer your most nuanced questions.There's also an Alerts functionality, where you can just ask Claude to submit a SQL query as an alert, and you'll be emailed when the ultra nuanced criteria is met (and the output changes). Like I want to know when somebody posts about "estrogen" in a psychoactive context, or enough biology metaphors when talking about building infrastructure.Currently have embedded: posts: 1.4M / 4.6M comments: 15.6M / 38M That's with Voyage-3.5-lite. And you can do amazing compositional vector search, like search @FTX_crisis - (@guilt_tone - @guilt_topic) to find writing that was about the FTX crisis and distinctly without guilty tones, but that can mention "guilt".I can embed everything and all the other sources for cheap, I just literally don't have the money.

HN · launched Dec 31, 2025 · 397 upvotes (top 2%) · 0 views

Niche: semantic search and rag tools · 93 launches, 0 in the last 7 days · Explore this niche →

Category and tags

  • Horizontal
  • Search & retrieval
  • Developer
  • AI feature
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

No Operating a fast, low-latency 600 GB hybrid vector and relational database indexing massive corpora (Hacker News, ArXiv) requires substantial data infrastructure, distributed search engineering, and significant ongoing server resources.

What it would actually take: Requires a scalable distributed database architecture (such as ClickHouse or DuckDB paired with pgvector or Qdrant/Milvus), massive web crawling and ETL pipelines, embedding computation across millions of documents, and a custom Model Context Protocol (MCP) or SQL execution gateway with strict CPU/memory sandboxing to prevent resource exhaustion.

Discussion

20 comments analyzed.

Competitors mentioned: ZenQuery (LLM-generated SQL from schemas), sql.js-httpvfs (client-side SQLite queries)

Concerns raised: Vector manipulation approach lacks rigor and benchmarks showing it works better, Embedding space manifold structure isn't semantically uniform, Security/IP protection concerns in jurisdictions with hackers and lax oversight

Feature requests: Offline mirror capability, Variable text chunk granularity for embeddings, Better embedding strategies and vector manipulation paradigms

Competitors

Other products that read as similar to this one : 285 launches clear the similarity bar, closest 8 shown.

Attention rank: #9 of 286 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 58 days after the earliest competitor.

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