If you've ever tried to find a short, clean Telegram username —
you know how painful it is. Everything good is taken.
You end up typing random combinations for 20 minutes.
I built a local tool to fix that.
What is Username Studio?
Username Studio generates, scores, and checks short Telegram
usernames (5–6 chars) using a local LLM. Everything runs on
your machine — no cloud, no subscriptions.
How it works
- Generate — LM Studio (local LLM) creates username candidates in three styles: brandable, russian transliteration, multilingual
- Score — each username gets rated on readability, brandability, meaning, and rarity
- Filter — only valid 5–6 char lowercase latin usernames pass
- Check — optionally verify availability via Telegram API (Telethon), with dry-run mode for safety
- Track — everything saved to local SQLite with full status history
Stack
- Python 3.10+
- LM Studio — local OpenAI-compatible LLM API
- Telethon — Telegram MTProto client
- SQLite — local storage
- Flask — local web dashboard
Web dashboard
The main interface is a local browser dashboard at
http://127.0.0.1:8080. You can browse batches, see scores,
pick candidates and run Telegram checks — all without touching
the terminal.
CLI mode is also available for terminal lovers.
Safety first
Telegram actions are intentionally explicit:
-
--no-telegramflag disables all Telegram connections - dry-run mode previews actions without real requests
- channel creation requires a typed
CHECKconfirmation - FloodWait handling respects Telegram rate limits
Quick start (Windows)
git clone https://github.com/sattop/username-studio
cd username-studio
.\START.bat
START.bat handles everything: creates venv, installs deps,
copies .env.example → .env, launches the app.
No LM Studio? No problem — the project has fallback generation
and scoring built in.
What's next
- Linux / macOS support
- More generation styles
- Configurable username length filter
- Export to CSV
Links
GitHub: https://github.com/sattop/username-studio
Would love feedback — especially if you've built something
similar or have ideas for scoring improvements.
