Room Reader: an offline, open-weight read of the YouTube comments you never answered
Описание и применение
Room Reader – это одностраничный Python‑инструмент, который без API‑ключей и облачных сервисов определяет вопросы в комментариях YouTube‑канала, проверяет, отвечены ли они, и выдаёт список нерешённых вопросов, помогая владельцам небольших каналов быстро реагировать на запросы покупателей.
Задача
Small YouTube channel owners need a quick way to identify unanswered questions in their comment sections without incurring API costs or exposing private data.
Результат
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.
Рабочий процесс
- 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
Доказательства
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.
- Дата записи: 2026-10-13T04:41:03.635Z