
See how much of a Telegram channel is ads and clickbait
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 analyzes public Telegram channels by evaluating up to 1,500 posts to categorize content types, identify paid ads, and detect clickbait or fear-based messaging. The tool provides a monthly breakdown of post types and links to high-scoring posts, and is available as an open-source solution without the need for user sign-in.
Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.
Gaps in our data, not findings about the product. Their weight is redistributed across the 6 we did measure.
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.