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.
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 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 author built a five-module Make scenario. A scheduler fires daily at 9 AM. The YouTube module looks up Matthew Berman's channel handle and pulls his latest video's title and description. Hugging Face summarizes that text, with a configurable summary length. Two Google Docs modules then create or find a document and append the summary. One-time connections to YouTube, Hugging Face and Google Docs were needed.
The author says the daily check, copy and document steps no longer need doing by hand, leaving a summary to read each morning. No measured results are given. The summary covers only the title and description, not the video itself.
The summarizer only sees the video's title and description text, not a transcript, so summary quality depends on how detailed the description is.
Create a Make scenario that runs every day at [time] and finds the newest video on the YouTube channel [channel URL]. Get a summary of the video's key points from its transcript with an AI step, then append the summary with the video title, link, and date to my Google Doc [doc name]. It's done when a test run adds one correct entry to the doc.
An n8n workflow scrapes Reddit posts and comments via Bright Data, extracts concerns and themes with Gemini, and writes reports to Notion.
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.
An hour before each discovery call, get a one-page brief on the account, the attendee and recent news, saved to Salesforce.