MARKET RESEARCH
Weekly Reddit Pain-Point Brief to Notion
Every Monday, scrape a set of subreddits for complaints and unmet needs, cluster them into themes with an LLM, and publish a ranked product-gap brief to Notion.
How it runs
The automated pipeline, trigger to output.
- TriggerMonday weekly schedule
- ActionScrape subreddit posts and commentsApify
- LogicFilter low-signal and removed posts
- ActionCluster complaints into ranked themesOpenAI
- OutputPublish gap brief to Notion databaseNotion
What it does
Runs a weekly sweep of the subreddits where your buyers vent, mines the threads for recurring frustrations and feature wishes, groups them into named themes, and ships a ranked product-gap brief to a Notion database — one row per theme with evidence links.
When to use it
Use it when you want a standing pulse on what your market complains about without manually reading Reddit. Good for PMs, founders, and growth teams building a roadmap or messaging from real customer language.
How it works
- 1A Monday schedule fires the run.
- 2Apify scrapes posts and top comments from your configured subreddits over the past 7 days.
- 3A filter drops low-signal items (low score, off-topic, removed posts).
- 4OpenAI clusters the surviving complaints into themes, names each, and scores frequency and intensity.
- 5The brief is written to Notion as ranked rows, each with a summary, sample quotes, and source URLs for verification.
Set it up
What you configure once, before turning it on.
- 1Connect ApifyActors, scrapers, datasets.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect NotionPages, databases, comments.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.