Summarize a YouTuber's latest video into a Google Doc daily
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.
The poster built an MCP server so Claude Code summarizes about 30 Reddit threads in around 10 seconds as research before coding.
The poster built an MCP server so Claude Code summarizes about 30 Reddit threads in around 10 seconds as research before coding.
The poster built a Reddit MCP server, adds it to Claude Code with one command, and uses it as pre-coding research instead of browsing manually. Claude queries Reddit through five focused tools that return structured posts, comments, scores, and timestamps with caching; the poster prompts it to search specific subreddits, summarize roughly 30 threads, and surface long-term library issues, debugging fixes, competitor complaints, and weekly trends.
They say the tool had reached 470 GitHub stars and 76K downloads, and that Claude can summarize about 30 threads in around 10 seconds, saving an hour of scrolling. In comments, the main limitation discussed was that large JSON outputs may waste context or require extra parsing.
Basic usage needs no setup, while authenticated use raises the limit to up to 100 requests per minute.
Before I code [feature or project], research how people discuss [problem or library] on Reddit. Find about [30] relevant threads, summarize the main approaches, common complaints, and recommended solutions, and link each thread. Save the result as [research.md] in this repo and stop there without changing any code.
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.
An n8n workflow scrapes Reddit posts and comments via Bright Data, extracts concerns and themes with Gemini, and writes reports to Notion.
Plan, execute and review a cross-cutting refactor in small batches, with Claude Code making the edits and GitHub Copilot reviewing each PR.