@IndieDevHailey: No more scrolling through secondhand information! Scrolling endlessly through HN, Reddit, Twitter, Telegram, and RSS, only to find repeated interpretations, emotional noise, and secondhand content… Now there’s an open-source tool that can completely solve this — Horizon, a true AI news radar. It directly from the source…

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Summary

Horizon is an open-source AI news radar tool that automatically captures first-hand content from multiple information sources, uses AI to deduplicate, score, summarize, and generate bilingual (Chinese/English) briefings, and supports multiple deployment methods.

No more scrolling through secondhand information! Scrolling endlessly through HN, Reddit, Twitter, Telegram, and RSS, only to find repeated interpretations, emotional noise, and secondhand content… Now there’s an open-source tool that can completely solve this — Horizon, a true AI news radar. It captures first-hand content directly from the source, uses AI to intelligently score, deduplicate, supplement context, summarize community discussions, and automatically generates a clean, professional, bilingual (Chinese/English) daily briefing. Horizon highlights: - Supports almost all mainstream information sources including Hacker News, Reddit, Telegram, RSS, X, GitHub, OpenBB, etc. - Compatible with various large models such as Claude, GPT, Gemini, DeepSeek, Ollama, etc. - Automatic deduplication + content enrichment: automatically merges the same event across platforms, and supplements background knowledge and real community discussions - One-click generation of bilingual (Chinese/English) daily reports - Supports GitHub Pages personal site, email subscription, Feishu/DingTalk/Slack/Discord/Webhook push - One-click Docker deployment + GitHub Actions scheduled automatic updates Read the best first-hand information and key perspectives from across the web in just 10 minutes, dramatically improving efficiency. Completely open source and free (MIT license) Easy to get started: clone the project → run the wizard to configure personal interests → one-click Docker launch, generate your first personalized daily report in 10 minutes.
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Cached at: 06/27/26, 03:49 AM

No more endlessly refreshing for second-hand info!

Scrolling through HN, Reddit, Twitter, Telegram, RSS — only to get repeated interpretations, emotional noise, and repackaged content…

Now there’s an open-source tool that fixes this for good — Horizon, a true AI news radar.

It pulls primary sources directly, uses AI to intelligently score, deduplicate, enrich with context, and summarize community discussions — automatically generating a clean, professional, bilingual (Chinese & English) daily briefing.

Horizon highlights:

  • Supports almost all major sources: Hacker News, Reddit, Telegram, RSS, X, GitHub, OpenBB, and more
  • Compatible with all major LLMs: Claude, GPT, Gemini, DeepSeek, Ollama, etc.
  • Automatic dedup + content enrichment: merges same events across platforms, adds background knowledge and real community discussions
  • Generates bilingual daily reports with one click
  • Supports GitHub Pages personal site, email subscription, Feishu/DingTalk/Slack/Discord/Webhook push
  • One-click Docker deployment + scheduled auto-updates via GitHub Actions

Read the best primary information and key insights from across the web in just 10 minutes — massive efficiency boost.

Fully open source and free (MIT License)

Easy to start: clone the project → run the wizard to configure personal interests → one-click Docker launch. Generate your first personalized daily report in 10 minutes.

Developer Hailey (@IndieDevHailey): Open-sourced a Gmail account auto-creation tool on GitHub

Manually registering Gmail accounts is inefficient, and Google’s verification is getting stricter. Many developers need to bulk-create accounts for data testing, automation scripts, or multi-account management.

There’s an open-source Python tool on GitHub that helps automate the creation process.

Main features:

  • Uses Selenium to simulate browser operations
  • Supports proxy switching

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