# orange2ai/podcast-to-article

> An Agent Skill that turns podcast transcripts into publishable articles: shifting the axis from speakers to topics, name verification, trimming by a third, and self-checking for AI tone.

- Magnitude: 5.1 out of 10 — Early signal
- Stars: 89 total · +21 stars measured 2026-10-08, 01:27–03:33 UTC, ≈ 102 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · License: MIT · Created: 2026-10-07 · Last push: 2026-10-08
- GitHub: https://github.com/orange2ai/podcast-to-article · Page: https://gitnova.dev/en/r/orange2ai/podcast-to-article

## Useful for

- Clean SRT/VTT subtitles from timestamps and merge lines by speaker
- Check a finished article for AI clichés and direct speech ratio with check_style.py
- Turn an interview transcript into an article preserving facts and quotes

## Why it’s here

- Star-counter measurements on 2026-10-08 (UTC), 01:27–03:33: 68 → 89 stars (+21). This is the change over that interval.
- Estimated end-of-day forecast: about +102 stars, using observed gains and the previous day.
- The repository is 1 day old and already has 89 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #160.
- About 8 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 5
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 96 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 8

## Stars per day, last 5 days (oldest → newest, today is partial)

2026-10-04 … 2026-10-08: 0, 0, 0, 89, 21

## Spotted in now

- Top new repositories this week: #160

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-08 03:43 UTC, updated every 30 minutes.