Room Reader: an offline, open-weight read of the YouTube comments you never answered
说明与用途
Room Reader 是一个单文件 Python 工具,能够在不使用 API 或云服务的情况下识别 YouTube 频道评论中的未回答问题,并输出一个排名列表,帮助小型频道所有者快速回应买家提问。
问题
Small YouTube channel owners need a quick way to identify unanswered questions in their comment sections without incurring API costs or exposing private data.
结果
In a test on four small wax‑melt channels, Room Reader scanned 90 comments, identified 41 for analysis, and produced a single unanswered question, demonstrating effective prioritization of buyer inquiries.
工作流
- 1. Run
python3 roomreader.py @handle --videos 5 --comments 60 --check-replies --json out.json - 2. Room Reader fetches recent videos via YouTube innertube endpoints
- 3. It pulls comments from a public Invidious instance
- 4. For each comment, it runs the DeBERTa‑v3 NLI model to compute entailment probability for hypothesis "The viewer is asking a question."
- 5. It filters out comments with low probability or surface‑level false positives (e.g., presence of "?" or interrogative words)
- 6. It checks reply threads for the channel owner’s replies using the
authorIsChannelOwnerflag - 7. It outputs a JSON file with a ranked list of unanswered question comments
证据
Room Reader is a single-file Python tool for the person who runs a small YouTube channel as a side hustle.
It reads the last few videos, pulls the comments, and hands you back a short queue of the comments that still deserve an answer: the real questions, from real viewers, that nobody ever replied to.
The heart of it is one function: QUESTION_HYPOTHESIS = "The viewer is asking a question."
The reply-thread check changed how I see my own data. ... most flagged questions had in fact been answered this way.
- 记录日期: 2026-10-13T04:41:03.635Z