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---
name: discourse
role: library
description: Scans HN, Lobsters, Reddit, and tech blogs for community experience reports. Use when gathering practitioner opinions on a technology or approach.
alwaysApply: false
category: research
tags:
- hackernews
- reddit
- lobsters
- blogs
- discourse
estimated_tokens: 200
model_hint: standard
---
# Discourse Search
## When To Use
- Gathering community opinions on a technology or approach
- Finding experience reports from HN, Reddit, or Lobsters
## When NOT To Use
- Academic research (use `/tome:papers`)
- Code examples (use `/tome:code-search`)
Scan community channels for discussions on a topic.
## Channels
- **Hacker News**: Algolia API at hn.algolia.com
- **Lobsters**: WebSearch with site:lobste.rs
- **Reddit**: JSON API (append .json to URLs)
- **Tech blogs**: WebSearch targeting curated domains
## Workflow
1. Build search URLs/queries per channel using
`tome.channels.discourse.*` functions
2. Execute via WebFetch (APIs) or WebSearch (fallback)
3. Parse responses into Finding objects
4. Merge across sources with source attribution
