Upload one photo and pick a style. Rukhanka draws a character that looks like you and shows it to you for free. Like it? It animates 8, 16 or 24 reactions (waving, laughing, crying, in love) and adds the set to Telegram in one tap.
Three things came out of the launch comments, and all three are live.
The town says why. When a check finishes, up to 100 of the people it reached get one more question. Those who scrolled past or got annoyed pick a reason, and those who liked it say what stopped them. For a post, those who stopped also say what they would comment. The page splits the reasons into ones about the text and ones about the audience, so you can tell a weak opening from the wrong readers. Jev also answers a few yes or no questions about the text itself:
Is there a concrete number, name or example?
Is it clear what the reader should do?
For a listing, does the first sentence say what is for sale?
Your own audience, in words. Describe whom the text is for, and only the residents who fit read it. "People who work in IT and are into startups" is 238 people, "people over 60" is 1,398. The town has no data on cities or company stages, so words about those do not count. The Audience tab shows how Jev read the description.
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.
