tech-news-digestGenerate tech news digests with unified source model, quality scoring, and multi-format output. Six-source data collection from RSS feeds, Twitter/X KOLs, Gi...
Install via ClawdBot CLI:
clawdbot install dinstein/tech-news-digestGrade Excellent — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/draco-agent/tech-news-digestUses known external API (expected, informational)
api.search.brave.comAudited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
Automated generation of daily or weekly tech news digests for blogs, newsletters, or social media channels. The system aggregates content from RSS feeds, Twitter KOLs, and GitHub releases, applying quality scoring to highlight trending topics like LLMs or frontier tech, saving editorial time.
Internal monitoring of competitor and industry developments for tech companies, using the pipeline to fetch and merge data from web searches and GitHub releases. Teams can customize topics to track specific technologies, enabling proactive strategy adjustments based on scored insights.
Supporting venture capital or hedge funds by automating the collection of tech news from diverse sources, with deduplication and quality scoring to identify high-impact trends. Custom topics can focus on emerging sectors, aiding in due diligence and market analysis.
Curating up-to-date tech content for online courses or training programs, using the system to gather and filter news from RSS and web searches based on educational topics. Outputs in markdown format can be integrated into learning platforms for student engagement.
Enhancing community engagement on platforms like Discord by generating regular news digests from configured sources, with templates for formatted posts. The system prioritizes high-quality, recent articles to keep members informed about relevant tech developments.
Offering the tech news digest system as a cloud service with tiered subscriptions, providing API access, managed configurations, and premium templates. Revenue comes from monthly fees based on usage limits, source integrations, and support levels.
Licensing the software to media companies or enterprises for rebranding and internal use, with customization options for sources and outputs. Revenue is generated through one-time licensing fees or ongoing maintenance contracts for updates and support.
Providing the core pipeline as open source to build a community, while monetizing advanced features like enhanced templates, analytics dashboards, or priority support. Revenue streams include paid add-ons, consulting services, and enterprise support packages.
💬 Integration Tip
Start by customizing the sources.json and topics.json files in the workspace to match specific interests, then run the fetch scripts sequentially to test data collection before integrating outputs into existing workflows like email campaigns or Discord bots.
Scored Apr 19, 2026
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多源 AI 科技新闻简报聚合器。覆盖 AI 大模型、科技、财经,按热度分级输出,来源全程可溯。AIHOT 168 信源并行覆盖。8 维度强制搜索,15-20 条精选内容。支持 Twitter/X 和 Grok API。
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