Research & Knowledge
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.
Make
Generate updated research reports on followed companies
The poster built and open-sourced a custom stock-research agent that produces updated reports on companies they follow.
Time saved
Not reported
Setup time
Not reported
Running cost
Not reported
Cost range
Not reported
Use case overview
The poster built and open-sourced a custom stock-research agent that produces updated reports on companies they follow.
Reported experience
What they did
The poster said they built a stock-research agent on top of paid real-time market-data subscriptions because ChatGPT’s answers were too dated for investing. In comments, they said it uses Polygon real-time stocks and options data, can run code on that data to answer screening-style requests like finding today’s inside-day patterns, and is available as a CLI plus a free web version; people still had to test outputs and report mistakes.
How it went
The reported benefit was fresher research and the ability to answer data-driven trading queries ChatGPT alone could not. It fell short in important ways: the author said it was mostly US-focused, a user found a bad CHF/USD conversion and weak non-US handling, and the “open source” claim was challenged because the full backend was proprietary.
Worth knowing
Copying this means paying for real-time data, and the source specifically names Polygon as the feed the author was buying.
Example prompts
Build me a small research agent that, for each company on my list [tickers], pulls the latest filings, news, and price data from [sources] and writes an updated report in [folder]. Each report should cover what changed since the last one, key numbers, and risks. You're done when I can run one command to refresh all reports; test it on [two tickers] and show me the output first.
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