Project ideas from Hacker News discussions.

SearXNG: A free internet metasearch engine

📝 Discussion Summary (Click to expand)

Three dominant themes from the discussion

# Theme Key takeaway (with supporting quote)
1 Self‑hosted meta‑search (SearXNG) is the preferred solution for privacy‑conscious users and LLM tool‑calling > "I've been self‑hosting this as my default engine across all of my searches for a few years now. I can't recommend it more highly." – drnick1
> "TinySearch wraps this and works well for agents… it optimizes the context before it even gets to the agent so as to not waste tokens." – satvikpendem
2 There is a strong need for an MCP‑compatible, JSON‑API‑enabled search service that can be directly called by local models > "It appears to be a key tool for providing search to local models." – goodroot
> "Enable the JSON API (search.formats: [html, json]; off by default)." – configuration note
3 Alternative projects (e.g., Hister) that index personal browsing history and the question of scalability are widely discussed > "My long‑term goal is exactly this. I'd like to add federation/P2P feature to evolve from being a private search companion." – asciimoo
> "There has been no stress tests in this regard. The indexer lib Bleve can handle millions of documents." – asciimoo

Summary

  1. Privacy‑first self‑hosting – Users favor SearXNG for full control and integration with LLMs.
  2. Tool‑callable search – The community emphasizes an MCP/JSON API to let local models invoke search without wasting tokens.
  3. Local indexing & scalability concerns – Projects like Hister are explored as alternatives, with ongoing debate about handling massive data volumes.

🚀 Project Ideas

Generating project ideas…

[Token‑Optimized Search MCP Wrapper]

Summary

  • A lightweight wrapper that pre‑filters and compresses search results before they hit an LLM, cutting token usage and avoiding unwanted captures.
  • Eliminates the need for agents to waste tokens on irrelevant snippets, improving cost efficiency.

Details

Key Value
Target Audience LLM developers building agentic workflows that use web search via MCP
Core Feature Context pre‑filtering and token budget enforcement via JSON API
Tech Stack FastAPI, Pydantic, async streaming, Docker, optional FastMCP
Difficulty Medium
Monetization Revenue-ready: Subscription (e.g., $9/mo per active agent)

Notes

  • HN users complained about token waste and “future‑dated hallucinations” – this solves that directly.
  • Could be packaged as a reusable library, sparking discussion on MCP best practices.

[Self‑Hosted Personal Search Index Service]

Summary

  • A private, offline‑first search index that captures browsing sessions and full rendered pages, providing instant local search and MCP access.
  • Reduces dependence on external search APIs and eliminates capture errors.

Details

Key Value
Target Audience Power users, researchers, and AI agents needing reliable private search
Core Feature Browser extension + sync daemon that indexes pages into a searchable database with MCP JSON endpoint
Tech Stack React extension, Node.js daemon, Bleve, SQLite/FTS, FastMCP, Docker Compose
Difficulty High
Monetization Hobby

Notes

  • Builds on asciimoo’s Hister but adds scalable sync and richer extractor support, addressing community demand for a robust personal index.
  • Enables community‑driven sharing of private indexes, fostering valuable discussion.

[Dynamic Engine Selector for SearXNG]

Summary

  • A UI/CLI tool that lets users easily toggle which search engines SearXNG queries, filter by source type, and auto‑apply exclusions such as only Stack Overflow and GitHub.
  • Removes manual configuration hassle and improves relevance.

Details

Key Value
Target Audience SearXNG power users and developers building specialized search agents
Core Feature Real‑time engine whitelist/blacklist manager with JSON output for MCP compatibility
Tech Stack Electron + React, configurable YAML, FastAPI for JSON API, optional Docker
Difficulty Low
Monetization Revenue-ready: One‑time purchase $15 for premium UI skins

Notes

  • Directly answers rcarmo’s question “how do i configure which specific search engines” and appeals to users like fishgoesblub seeking reliable engine selection.
  • Could integrate with token‑optimizing wrappers from Project 1, creating a cohesive search ecosystem.

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