leiting-eric

leiting-eric / DailyBrief

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AI 每日新闻简报 · GitHub 热门 + X 热门文章 + 行情技术分析 · 23 个数据源聚合 + LLM 中文摘要 · 本地或 GitHub Actions 部署

leiting-eric.github.ioDailyBrief ai claude-code claude-skills daily-digest llm
18
6
85% credibility
Found May 23, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

DailyBrief is a personal daily briefing generator that automatically collects news from multiple sources (tech sites like GitHub and Hacker News, Chinese developer forums, financial news feeds, and world news), uses an AI assistant to write summaries and analyze trading signals, and produces a clean webpage with everything organized by topic. The user configures which sources to follow, runs the pipeline daily, and gets a polished HTML report covering tech highlights, financial news, market analysis, and community discussions.

How It Works

1
🌅 You want your own daily briefing

Instead of scrolling through dozens of websites each morning, you want one page that covers tech news, financial headlines, and market analysis.

2
📰 You pick your news sources

You choose which websites and topics to follow — tech blogs, developer news, Chinese forums, financial news, and world events.

3
🤖 Your AI assistant reads everything

The AI scans through all your chosen sources overnight, pulling the latest articles from each one.

4
📝 The AI writes your summary

Your assistant picks the most important stories, writes a clear headline, and creates short summaries in plain language.

5
📈 The AI analyzes the markets

For stocks and crypto you care about, the AI reads the price charts and writes a plain-English market overview with what to watch.

🌐 You open your daily page

Everything is laid out in a clean webpage with tabs — tech, markets, finance, and more — so you can skim it all in about five minutes.

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Star Growth

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AI-Generated Review

What is DailyBrief?

DailyBrief is an automated daily briefing tool that aggregates tech news, social trends, and market data into a single HTML digest. It pulls from 23 sources including Hacker News, GitHub Trending, Chinese developer forums, and AI-focused X posts, then uses an LLM to generate concise summaries in your preferred language. The project also includes a trading section that fetches real-time price data from Yahoo Finance, computes technical indicators like RSI and MACD, and produces a market commentary with a watchlist of 21 assets across stocks, crypto, and commodities. You run it locally or schedule it via GitHub Actions, and it outputs a self-contained HTML report with tabs for tech, finance, politics, and market analysis.

Why is it gaining traction?

The hook is the fully automated pipeline: fetch, summarize, and render with zero manual effort. Developers who want a personalized morning read without browsing multiple sites get a single HTML file that covers their specific interests. The bilingual support (Chinese and English) and the ability to swap LLM providers (Claude CLI, OpenAI, DeepSeek, MiniMax) without touching the core logic makes it adaptable to different budget and privacy requirements. The trading section is a bonus that turns it from a pure news aggregator into something closer to a Bloomberg terminal lite.

Who should use this?

Developers who want a curated, automated daily digest tailored to the tech ecosystem. Solo founders monitoring GitHub trends and crypto markets. Engineers in Asia who want Chinese summaries of English-language sources without relying on third-party apps. Anyone comfortable with a Node.js setup and an LLM API key who prefers self-hosted automation over newsletter subscriptions.

Verdict

DailyBrief delivers a genuinely useful automated pipeline with solid architecture and bilingual support, but the 18-star count signals a niche tool rather than a mainstream project. The credibility score of 0.85% reflects that maturity level. If you want a self-hosted daily brief with trading signals and don't mind iterating on the setup, this is worth exploring. For a turnkey solution with guaranteed uptime, wait for a larger community and more documented deployment stories.

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