notoriouslab

notoriouslab / issueops-digest

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Turn a GitHub Issue into a search trigger — keywords in, AI-filtered digest out. No backend needed. Just fork and go. 用 GitHub Issue 當操作介面，填關鍵字即觸發 Actions 自動搜尋、AI 篩選並回傳摘要。免後台、Fork 即用，適合懶人情報收集。

digest issueops keywords
25
8
100% credibility
Found Mar 09, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This tool searches for news and web articles using AI to score relevance, presents them as checklists in GitHub Issues for easy selection, and saves picked ones as Markdown files.

How It Works

1
📰 Discover easy news gathering

You find a simple tool that helps collect and save news articles on your favorite topics without any complicated setup.

2
📂 Set up your private notebook

You create your own private space on GitHub where all your searches and picks will live safely.

3
Choose your style
💻
Run anytime

Start searches right from your computer whenever inspiration strikes.

⏰
Daily auto

Set it to quietly search and notify you each day without lifting a finger.

4
🔗 Connect helpful services

Link a few free online search and smart thinking services so it can find and judge the best articles.

5
⭐ Pick your topics

Tell it what interests you, like AI tools or tech supply chains, and tweak trusted news sources if you want.

6
🔍 Start a search

Type in keywords or let the daily magic happen, and wait for fresh results.

7
📱 Review and pick

Open the GitHub app on your phone, see a neat list with scores, and check the boxes for articles you love.

🎉 Articles saved

Close the list, and your chosen articles are automatically turned into clean, readable notes ready to keep forever.

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Star Growth

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AI-Generated Review

What is issueops-digest?

This Python tool turns GitHub Issues into a no-backend search engine: drop keywords into an Issue or CLI command, and GitHub Actions fetch results from Brave Search (plus optional Tavily), score them with Gemini AI for relevance, then post an AI-filtered digest as a checkbox list. Tick articles you want, close the Issue, and it auto-captures clean Markdown files—no servers, just fork the repo, add API secrets, and go. Solves lazy intel gathering for devs who hate managing RSS or custom scrapers.

Why is it gaining traction?

Zero setup hooks devs: fork to a private GitHub repository, tweak config.yaml for topics like "AI agent framework," and schedule daily Actions for fresh digests. Stands out with bilingual fuzzy filtering, authority domain bonuses, recency profiles (news vs research), quota warnings, and optional Telegram pings—all without a backend. CLI mode adds on-demand runs like `python web_digest.py "quantum computing" --profile=research`.

Who should use this?

Researchers tracking niche topics like TSMC supply chains or AI frameworks, indie hackers monitoring competitor news, or analysts ditching bloated tools for GitHub-native issueops. Ideal for devs already in GitHub who want scheduled, AI-filtered keyword searches without spinning up VSCode extensions, websites, or wikis.

Verdict

Fork it if you need quick, private AI digests via GitHub Actions—docs are solid, MIT license, but 10 stars and 1.0% credibility score scream early-stage experiment. Test in CLI first; scale to Actions once quotas align.

(187 words)

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