
Jev Wrapped
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.
AI Analysis
Jev Wrapped is an open-source tool that lets users paste a public Telegram channel name to generate an AI-analyzed yearly summary card. Using Jev (TypeSafe's model), it evaluates up to 1,500 posts for 10 content types, paid ads, clickbait, and fear/anger manipulation. It visualizes monthly mixes and links top-scoring posts for easy verification. No login or Telegram account required. It solves user frustration with opaque, ad-filled, or manipulative channel content by offering transparent, checkable insights. The value proposition centers on empowering informed decisions about channel quality and content trustworthiness in a simple, accessible way.
Favorable in 2025-2026 as AI for content moderation matures, Telegram user base expands amid rising misinformation concerns, and demand grows for transparent analytics on social platforms. Regulatory pushes for digital accountability and user fatigue with clickbait create strong demand. AI NLP capabilities are now reliable for this use case. Excellent Timing.
High. Technical implementation uses mature AI classification on public data, with moderate dev costs for web interface and Telegram data fetching. Open-source nature aids community support and scalability. Low supply chain or compliance risks since no user accounts or private data involved. Potential challenges in model accuracy and data volume limits are manageable. High scalability for broader channels.
Primary users: Telegram channel admins, digital marketers, media researchers, journalists, and privacy-conscious consumers (ages 18-45, tech-savvy). Concentrated in Europe, CIS countries, Middle East, and Asia where Telegram dominates. TAM for social analytics tools ~$10B+, SAM for Telegram-specific ~$500M, SOM for this niche AI tool ~$10-50M. Pain points: inability to quantify manipulative content in followed channels. Moderate willingness to pay for premium analytics or custom models.
Low. Direct competitors: 1. TGStat.com (Telegram stats and analytics), 2. Telemetr.me (channel metrics and growth tools), 3. Combot.org (moderation and basic analytics), 4. SocialBlade (cross-platform but limited TG support). Advantages: Unique AI for ad/clickbait/emotion detection with verifiable post links, visual 'wrapped' format, fully open-source and no-login. Disadvantages: Analysis limited to 1500 posts/year, potential AI bias, lacks broad channel management features competitors offer. Strong differentiation through transparency focus.
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