multisource-intel-radarBuild and run a high-signal information radar for C-end founders and operators across YouTube, X/Twitter, Reddit, WeChat Official Accounts, and Xiaohongshu....
Install via ClawdBot CLI:
clawdbot install Rogerrrr18/multisource-intel-radarCreate a founder-grade signal system: less junk, more decisions.
/Users/rogeryang/Downloads/follow.opml)Always output:
scripts/parse_opml.pyassets/feeds.txtscripts/build_digest.py with keyword whitelistThen append top findings with profile/note links.
Use this weighted scoring:
For each selected item, provide:
assets/wechat_watchlist.txt, assets/xhs_watchlist.txt)创业, AI, 增长, 金融
If user provides new keywords, merge and deduplicate.
scripts/parse_opml.pyscripts/build_digest.pyreferences/scoring-and-ops.mdGenerated Mar 1, 2026
A founder of an AI SaaS startup uses the radar to ingest RSS feeds from key industry blogs, competitor X accounts, and AI-focused subreddits. They filter for keywords like 'AI', 'growth', and 'funding' to receive daily digests highlighting new product launches, funding rounds, and tactical growth experiments, enabling quick competitive responses and partnership opportunities.
An operator in a fintech company sets up the radar with OPML files from financial news outlets, regulatory blogs, and WeChat official accounts. Keywords include 'finance', 'regulation', and '创业' to filter out noise, providing action-oriented summaries on policy changes, market trends, and case studies for strategic planning and compliance adjustments.
A growth marketer leverages the radar to scan YouTube, Xiaohongshu, and Reddit for content on 'growth', 'marketing', and 'case studies'. The tool filters motivational posts, focusing on data-driven examples and actionable tactics, delivering top signals for content creation, campaign inspiration, and audience engagement strategies.
A VC analyst uses the radar to aggregate feeds from startup blogs, founder X threads, and industry reports. With keywords like '创业', 'AI', and '金融', it reduces noise from generic opinions, highlighting novel startups, funding insights, and operational experiments for due diligence and trend analysis in investment decisions.
A product manager in a tech company configures the radar to monitor Reddit communities, X discussions, and WeChat accounts related to their product niche. Keywords include 'product', 'AI', and '增长' to filter for user pain points, feature requests, and innovative use cases, informing product roadmaps and quick iterative improvements.
Offer the radar as a cloud-based SaaS tool with tiered subscriptions (e.g., basic, pro, enterprise). Revenue comes from monthly fees providing access to enhanced filtering, more sources, and premium features like team collaboration and API integrations, targeting founders and operators willing to pay for high-signal intelligence.
Provide bespoke consulting services to set up and customize the radar for specific industries or companies. Revenue is generated through one-time setup fees, ongoing maintenance contracts, and training sessions, helping clients integrate the tool into their existing workflows for optimized intelligence gathering.
Deploy a free version with basic features and limited sources, monetizing through premium upgrades that offer advanced analytics, historical data access, and exclusive source integrations. Revenue streams include upsells to paid plans and potential partnerships for data licensing to larger enterprises.
💬 Integration Tip
Start by importing an OPML file from existing RSS subscriptions to quickly set up core feeds, then gradually add manual sources like WeChat and Xiaohongshu watchlists for comprehensive coverage.
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