multisource-intel-radar

# Multi-Source Intel Radar Create a founder-grade signal system: less junk, more decisions. ## Inputs - OPML file (default: `/Users/rogeryang/Downloads/follow.opml`) - Keyword whitelist (default: 创业, AI, 增长, 金融) - Optional source lists for non-RSS channels (X list links, subreddit list, WeChat/XHS accounts) ## Output Contract Always output: 1. **Top 3 must-read signals** (one-line why + one action + clickable source link) 2. **Top 5 watchlist items** (with source link) 3. **Dropped noise summary** (what got filtered and why) 4. **Filter transparency** (counts + rates: scanned -> matched -> shortlisted -> top3) 5. **Next experiment** (one concrete growth/ops move) ## Workflow ### Step 1) Ingest feed sources - Parse OPML with `scripts/parse_opml.py` - Generate normalized feed list: `assets/feeds.txt` ### Step 2) Fetch + filter - Run `scripts/build_digest.py` with keyword whitelist - Time window default: last 48h - Keep only items that match whitelist in title/summary - For Xiaohongshu: do browser search (not watchlist-dependent), using keyword combos like: - 创业 AI 增长 - AI 产品 复盘 - 增长运营 案例 Then append top findings with profile/note links. ### Step 3) Score items Use this weighted scoring: - Relevance to whitelist (40%) - Actionability in 7 days (30%) - Novelty / non-obviousness (20%) - Evidence density (10%) ### Step 4) Summarize for execution For each selected item, provide: - Core insight (1 sentence) - Why it matters for current product - Suggested action today (1 step) ## Source Coverage Notes - YouTube/X/Reddit often available via RSSHub or platform feeds in OPML - WeChat OA and Xiaohongshu are often not natively RSS; add via: - RSS bridge links (if available) - Manual watchlist files (`assets/wechat_watchlist.txt`, `assets/xhs_watchlist.txt`) - If a source has no feed, include it in watchlist and mark as **manual scan required** ## Anti-Noise Rules - Do not output generic motivational posts - Drop repeated观点 without new evidence - Prefer first-hand data / concrete case over opinion - Keep digest under 10 items total ## Daily Cadence (recommended) - 09:30: morning digest (strategic) - 18:30: evening digest (tactical) ## Keyword Defaults 创业, AI, 增长, 金融 If user provides new keywords, merge and deduplicate. ## Files - Parser: `scripts/parse_opml.py` - Digest builder: `scripts/build_digest.py` - Notes: `references/scoring-and-ops.md`