AI Radar
Cross-platform AI project scanning, filtered by real signals
Radar should not collect everything. It filters new products by growth, business, user value, readiness, and risk.
Sources
GitHub Trending
Product Hunt
Hacker News
AppSumo
Reddit
X/Twitter
YouTube
Bilibili
Xiaohongshu
Zhihu
Jike
Newsletters
Scoring Model
Growth signal
Star velocity, votes, reposts, discussion volume, and community heat.
Business signal
Pricing page, affiliate program, AppSumo listing, and team credibility.
User value
Clear job-to-be-done and meaningful improvement over existing tools.
Ordinary-user readiness
Chinese support, local access, payment options, and tutorial quality.
Risk signal
Privacy, hype, abandonment, unclear pricing, and poor support.
Channel Intelligence Database
Partnership traffic needs a real database: platform, audience, engagement quality, sponsorship fit, and historical recommendation quality.
Platform
Audience
Content type
Engagement quality
Accepts sponsorship
Partnership fit
Historical recommendation quality
High-Value Creator Types
AI tool reviewers
Workflow tutorial creators
Independent developers and product hunters
AppSumo and deal reviewers
Chinese AI onboarding creators
Output labels stay simple: worth trying, worth buying, watch first, and not recommended.