Case study · News, data & AI
Kaspa News
An independent news site and Android app for people following the Kaspa ecosystem. Anyone can read the articles, the daily Kaspians Mood score and the Radar research catalogue. Kaspa News Pro turns thousands of posts on X into a sorted, AI-labelled reading feed.
One place for a fast-moving ecosystem.
The Kaspa conversation moves across X, Reddit, forums and code activity. Kaspa News brings it into one focused product: articles written from original sources, Kaspians Mood, a daily 0–100 score of the conversation on X with full accounting, and Radar, a catalogue of new crypto projects where every fact cites its source.
Kaspa News Pro adds six sorted feeds built from thousands of posts by builders. One account works on the website and in the app.
Articles
A paper-style front page, archive and reader with embedded posts and illustrated covers.
Kaspians Mood
A daily gauge with 7 and 30-day history, 24-hour feed stats, leaderboards and a share card.
Radar
Search, filters and research cards for almost 400 new projects, with a source for every fact.
Sorted feeds
A 24-hour AI-classified feed, quality-ranked Best, and Devs, Eco, Focused and Media views.
Two ways to pay
Pro by card or in KAS, with self-service billing.
Native app
A cached front page, a native reader, opt-in push alerts, and Paper and Dark themes.
Inside the product.
By the numbers.
The stack.
- Next.js
- React
- TypeScript
- Tailwind CSS
- Flutter
- Supabase
- PostgreSQL
- Stripe
- Firebase
- LLM APIs
- Netlify
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