The problem
Daily business content in Uzbek barely existed.
- Entrepreneurs had nowhere to read quality content
- A tiny team couldn't publish daily
- Every post was written from scratch
The problem
Biznes Kun — a daily business-news app
There is almost no consolidated, quality daily business content in Uzbek for entrepreneurs. Publishing daily with a tiny editorial team was only possible through automation.
Before
After
- No single sourceA reader app on the phone
- Posts written from scratchAI-prepared drafts
- Daily publishing impossibleDaily publishing from an admin panel
The solution
How we made it simple
- 01
Built a reader app with Telegram login
- 02
AI gathers news and prepares drafts
- 03
Editors refine and publish from one panel
We built a three-part platform: a Flutter reader app with Telegram login (categories, saved posts, search), a Next.js + shadcn admin panel for editors (CRUD, publishing, metrics), and a fetcher → summarizer → publisher AI draft pipeline. The Django + DRF backend runs in Docker with 41 tests passing.
Technologies
The result
An AI draft pipeline: editors edit instead of writing from scratch
A Flutter reader app with Telegram login
A full editors' admin panel with metrics
A fetcher → summarizer → publisher AI pipeline
“Publishing daily with a tiny editorial team would be impossible without the AI pipeline. Drafts arrive ready — editors edit instead of writing. We got three times faster.”
Facing a problem like this?
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