가이드 / Reddit into ChatGPT or Claude

How to feed Reddit discussions to ChatGPT, Claude or your own AI

Reddit is full of first-hand answers: what customers complain about, what tools people actually use, what worked. AI assistants are great at summarising it, if you give them the whole discussion in a readable shape. Here is how to do it for one thread, and for hundreds.

작성자: Pierre Carron · 2026년 10월 업데이트됨

Export panel with the AI pack (JSONL) and chunk size
The AI pack splits threads into chunks of the size you choose, each with its context.

단계별 안내

  1. Export the thread or subreddit. With Thread Exporter, open a thread and click "Export all comments", or open a subreddit and export its top posts of the month or year, with their comments.
  2. For one thread: copy as text. Click "Copy as text for ChatGPT / Claude". You get Markdown with each reply indented under its parent, plus the post. Paste it and ask your question.
  3. For many threads: download the AI pack. Choose "AI pack (JSONL)" and a chunk size (for example 1,500 tokens). Each line is a self-contained chunk with the thread title, question, permalink and comment ids.
  4. Load it in your tool. Upload the JSONL to your vector store or notebook. Each chunk carries its source link, so answers can cite the original thread.
스레드에서 무료로 사용해 보세요. 무료 버전은 댓글 300개까지의 스레드를 CSV와 Markdown으로 내보냅니다. Pro는 모든 기능을 한 번만 $19.90에 제공합니다.

Why structure matters to the AI

A flat list of comments loses who answers whom. Indented Markdown keeps the conversation readable, so the model can tell an answer from an objection, and the original poster's follow-ups from other people's.

Cleaning helps too: removing bots, removed comments and low-score noise makes summaries sharper and saves tokens.

Prompts that work well

"List the problems people describe, with how many people mention each, and quote one comment per problem." "What tools are recommended, and what are the main objections to each?" "Summarise the disagreement in this thread in five bullet points."

다른 가이드