A short overview of what the service collects and why certain signals surface first.
A "trend" on Trend Radar is not just news. Community-led trends need at least two independent signals, while directly confirmed official posts are used to verify and strengthen an already surfaced direction. The goal is to surface corroborated change instead of raw feed noise.
Criteria: 2+ community signals · Official and media sources reinforce existing trends · Re-ranked by latest activity · Score naturally decays over time
Trend Radar structures fast-moving announcements and reactions so readers can understand what matters first. It automatically collects and analyzes official announcements, community reactions, and media coverage from the AI and tech industry.
We collect signals from official blogs and news feeds of major AI and tech companies, as well as community platforms like Reddit and Hacker News. Official posts are linked into existing trends as verification evidence, while community items must clear noise filters and minimum corroboration thresholds before they appear.
We collect data from official RSS feeds including OpenAI, Google Gemini, Anthropic, and Claude blogs, as well as community platforms like Reddit and Hacker News. Each source is classified by reliability tier.
Each trend receives a normalized 0-100 score that is recalculated from the most recent supporting evidence.
| Factor | Description |
|---|---|
| Mention intensity | How frequently the trend is mentioned across sources |
| Source reliability | Weighted by whether the source is official, verified, or community |
| Freshness | Recently re-confirmed trends receive more weight |
| Evidence weight | Official, verified, and community sources are weighted differently |
Every trend is organized into categories so related signals are easier to browse.