Use Claude Code to Query 600 GB Indexes over Hacker News, ArXiv, etc.
Details
- External ID
- 46442245
- Source
- HN
- Company
- —
- Product
- Use Claude Code to Query 600 GB Indexes over Hacker News, ArXiv, etc.
- Website domain
- exopriors.com
- Launched
- Dec. 31, 2025
- Cohort
- —
- Upvotes
- 397
- Upvotes percentile
- 0.9770992366412213
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
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.
Enrichment
- Theme
- utilities for Claude and Claude Code
- Vertical
- Horizontal
- Function
- Search & retrieval
- Audience
- Developer
- AI stance
- AI feature
- Project type
- Commercial product
- Normalized one-liner
- query large indexes with claude
- Manually corrected
- False
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 — 148 launches clear the similarity bar, closest 8 shown.
Attention rank: #6 of 149 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 49 days after the earliest competitor.
- I licensed $50k of stock market data to do analysis Claude can't · hn · 2026-09-10 · 7 upvotes · similarity 0.52
- 22 GB of Hacker News in SQLite · hn · 2025-12-30 · 730 upvotes · similarity 0.47
- I used Claude Code to discover connections between 100 books · hn · 2026-01-10 · 524 upvotes · similarity 0.47
- Agentic Data Analysis with Claude Code · hn · 2026-03-10 · 6 upvotes · similarity 0.45
- Claude's Code · hn · 2026-03-24 · 23 upvotes · similarity 0.43
- ChatExport Structurer · hn · 2025-11-12 · 6 upvotes · similarity 0.42
- I built an open-source financial research terminal (SEC data and SQL) · hn · 2026-06-15 · 5 upvotes · similarity 0.42
- Abralo · hn · 2026-07-08 · 37 upvotes · similarity 0.41
Other launches for this product
- No other launches for this product.