About AI Hot

AI Hot is an English-language AI news aggregator that uses AI to filter signal from noise across 50+ English sources. We deliver a curated daily feed, trending topics with time-decay heat scores, and open agent-access APIs for the global AI community.

Our core value proposition is simple: "Read less, know more." AI Hot does the reading so you don't have to — aggregating 500+ items daily, scoring them, and surfacing the 20-30 that actually matter.

What We Track

We monitor sources across three tiers: primary tech media (The Verge, TechCrunch, Ars Technica, Wired), official AI company blogs (OpenAI, Anthropic, Google DeepMind, Meta), and niche community sources (Hacker News, arXiv, Papers With Code, AI Twitter/X, Substack newsletters).

Heat Score Algorithm

Our heat score uses a time-decay formula: stories reported by more sources score higher, and scores decay over time to prevent stale items from lingering. High-authority sources contribute more weight. The algorithm is deterministic and publicly documented.

AI Transparency

Summaries are generated by AI. We always link to the original source and encourage readers to verify information. We do not reproduce full articles — only titles, AI-generated summaries, and links.

Open Source & Agent Access

AI Hot supports multiple agent protocols: SKILL.md, MCP, A2A, RSS, and REST API. We believe AI news should be accessible to humans and agents alike.