Paste the name of a public Telegram channel and get a card for its last year. Jev, TypeSafe's decision model, reads up to 1,500 posts one by one and answers four questions about each: which of ten kinds of post it is, whether it is a paid ad, whether it uses clickbait, whether it pushes on fear or anger. The card shows the mix month by month and links the posts that scored highest, so you can check the model yourself. No sign-in, no Telegram account. Open source.
Hi Product Hunt! I found one more use for Jev, the decision model from TypeSafe, and built a small project with it: an X-ray for Telegram channels.
Jev writes no text. It takes a post and four typed questions and returns a probability for each answer, in about 300 ms. At that speed and price you can read a whole year of a channel post by post instead of asking a chat model for a summary.
What you get: the share of news, opinion, ads, jokes, the author's own promotion and five other kinds, three percentages for ads, clickbait and emotional pressure, and the mix for each of the last twelve months. Durov's channel took 6 seconds and $0.0043: 53% of it is about his own projects.
Jev makes mistakes. On a channel with no paid advertising it still marked two partner promotions as ads. So below every card the page lists the posts it scored highest, with links, and you can check them yourself.
It is open source (MIT), one Cloudflare Worker on the free plan, and runs on your own TypeSafe or OpenRouter key.
Try it: https://wrapped.ivanhabor.com
Code: https://github.com/gaborishka/je...
If a card looks wrong for a channel you know, tell me here. I want to see where the model misses.
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About Jev Wrapped on Product Hunt
“See how much of a Telegram channel is ads and clickbait”
Jev Wrapped launched on Product Hunt on September 22nd, 2026 and earned 0 upvotes and 1 comments, placing #150 on the daily leaderboard. Paste the name of a public Telegram channel and get a card for its last year. Jev, TypeSafe's decision model, reads up to 1,500 posts one by one and answers four questions about each: which of ten kinds of post it is, whether it is a paid ad, whether it uses clickbait, whether it pushes on fear or anger. The card shows the mix month by month and links the posts that scored highest, so you can check the model yourself. No sign-in, no Telegram account. Open source.
Jev Wrapped was featured in Telegram (5.3k followers), Analytics (173.8k followers), Artificial Intelligence (479.1k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 170.7k products, making this a competitive space to launch in.
Who hunted Jev Wrapped?
Jev Wrapped was hunted by Ivan Gabor. 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.
Want to see how Jev Wrapped stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ivan Gabor