Mine Reddit threads into structured Notion reports
An n8n workflow scrapes Reddit posts and comments via Bright Data, extracts concerns and themes with Gemini, and writes reports to Notion.
Digging through books, papers, and data, and keeping what you learn organized.
89 use cases
An n8n workflow scrapes Reddit posts and comments via Bright Data, extracts concerns and themes with Gemini, and writes reports to Notion.
A Make scenario runs at 9 AM, finds a YouTuber's newest video, has Hugging Face summarize it, and appends the summary to a Google Doc.
A product manager had Hermes produce a weekly competitor briefing; its skill rewrote itself four times and by week six surfaced patterns he had missed manually.
A user left a Gemini agent running overnight to analyze 170k LLM logs with the llm CLI and a free model, and it finished the job despite limits.
A Manus agent connected to Heurist's mesh ran deep research on US stablecoin adoption in 2026 after one approval step, finishing in two minutes.
A Manus scheduled task searches Reddit, X and Hacker News each morning, ranks results and delivers a digest to email or Notion; a how-to guide.
The author had a swarm of Claude agents run 4,654 searches to catalog AI bot names and analyze naming trends by gender, industry and year.
Built five Claude Code agents (cleaner, analyzer, visualizer, report writer, summarizer) chained by an orchestrator for end-to-end data analysis.
The poster built an MCP server so Claude Code summarizes about 30 Reddit threads in around 10 seconds as research before coding.
The author replaced a Reddit research agent with a Codex skill that finds pain points, verifies communities, collects evidence, clusters problems, and analyzes commercial signals.
The poster tried Claude Computer Use to open Firefox, search Wikipedia, find all names on a page and save them to a text file.
An agent read 25 open jobs each at five companies and measured how long each had been posted, e.g. 21 of 25 at Figma were 60+ days old.
Reviewers had Manus find the top 10 project management tools, compare pricing in a table, and refactor a 400-line Python script that ran cleanly.
Reviewers used Grok Bot's cloud computer and X data for multi-step social-media research they found useful, work previously split across tools.
A commenter uses ChatGPT Agent Mode for visual web research, with the agent opening and working through pages.
A setup of 10 specialized Grok Bot agents includes a Research agent that finds sources and data and a Deep Research agent that compares sources into insights.
Grok coordinated 16 specialized agents that searched and parsed 896 sources, debated and peer reviewed, and delivered a complete research document in one minute.
Grok Bot roles read new papers and extract claims, rerun analyses, and scan sources, working overnight to produce briefs.