This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Trending AI
Global tech trends, fast-picked by AI.
Trending AI pulls GitHub Trending, Hacker News and Product Hunt into one open-source app. An LLM scores the noise and picks a few items a day, each with a short structured take: why it matters, what it's for, and the alternatives. English or Chinese, your choice. Built entirely in Kotlin Multiplatform, MIT licensed. Android is shipping on Play and F-Droid; iOS compiles and runs but isn't polished yet.
Fun fact: Trending AI has been reading the PH daily leaderboard since day one — so today it's on the other side of the feed. :)
I built it to fix my own mornings: skimming GitHub Trending, Hacker News and Product Hunt to find what's actually worth reading. The app pulls from all three (PH via the official API), and an LLM picks a handful of items a day — each with a short structured take: why it matters, what it's for, the alternatives. English or Chinese, your choice.
Honest status: Android is shipping (Play, F-Droid, GitHub). iOS compiles and runs in the simulator but isn't polished yet — the whole client is one Kotlin Multiplatform codebase with Compose Multiplatform UI, MIT licensed.
Would love feedback — especially from fellow PH lurkers on whether the daily picks match what you'd have clicked anyway.
Trending AI was submitted on Product Hunt and earned 5 upvotes and 5 comments, placing #159 on the daily leaderboard. Trending AI pulls GitHub Trending, Hacker News and Product Hunt into one open-source app. An LLM scores the noise and picks a few items a day, each with a short structured take: why it matters, what it's for, and the alternatives. English or Chinese, your choice. Built entirely in Kotlin Multiplatform, MIT licensed. Android is shipping on Play and F-Droid; iOS compiles and runs but isn't polished yet.
On the analytics side, Trending AI competes within Android, Open Source, Developer Tools and GitHub — topics that collectively have 683.5k followers on Product Hunt. The dashboard above tracks how Trending AI performed against the three products that launched closest to it on the same day.
Who hunted Trending AI?
Trending AI was hunted by wang jack. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Trending AI including community comment highlights and product details, visit the product overview.
Hi Product Hunt!
Fun fact: Trending AI has been reading the PH daily leaderboard since day one — so today it's on the other side of the feed. :)
I built it to fix my own mornings: skimming GitHub Trending, Hacker News and Product Hunt to find what's actually worth reading. The app pulls from all three (PH via the official API), and an LLM picks a handful of items a day — each with a short structured take: why it matters, what it's for, the alternatives. English or Chinese, your choice.
Honest status: Android is shipping (Play, F-Droid, GitHub). iOS compiles and runs in the simulator but isn't polished yet — the whole client is one Kotlin Multiplatform codebase with Compose Multiplatform UI, MIT licensed.
Would love feedback — especially from fellow PH lurkers on whether the daily picks match what you'd have clicked anyway.
Repo: https://github.com/HarlonWang/TrendingAI