Show HN: Signet – Autonomous wildfire tracking from satellite and weather data

Show HN lit up with Signet, a tool that watches US wildfires using satellite detections, thermal imagery, and weather reports. The crowd came in hot: one commenter dropped a mic-link to Google’s own research on real-time fire boundary tracking here, stirring the classic “cool, but is this new?” debate. Meanwhile, the strongest love went to Signet’s blend of multiple data sources—because single satellite feeds can cry fire over sun glare and factory heat. The mood: impressed but demanding receipts.

Enter the hot takes. A seasoned voice said the magic is in multi-source fusion, basically automating what pros do in their heads, and warned against tossing in LLMs (large language models) just because it’s trendy—keep it solid and rule-based. On the flip side, UI drama sparked when someone found the Evidence tab cluttered: “Show me proof for the fire I clicked, not the whole map!” Another commenter side-eyed the slick splash screen as investor bait, while a pragmatic nudge asked if they’ve looped in WatchDuty, the community wildfire alert app. Jokes flew about “sun glint vs smokestacks” and “Shark Tank: Wildfire Edition,” but the underlying vibe was clear: polish the product, prove the accuracy, and make it help first responders and neighbors, fast.