TweetFeed (0xDanielLopez/TweetFeed) is an open-source AI project on GitHub. Repository summary: TweetFeed collects Indicators of Compromise (IOCs) shared by the infosec community at Twitter. Here you will find malicious URLs, domains, IPs, and SHA256/MD5 hashes. Its focus includes team collaboration integrations. It is suitable for extension, integration, and iterative delivery in real workflows.
License
Not available
Stars
658
Homepage
https://tweetfeed.live/Features
- Core capability: TweetFeed collects Indicators of Compromise (IOCs) shared by the infosec community at Twitter. Here you will find malicious URLs, domains, IPs, and SHA256/MD5 hashes.
- Integrates with team collaboration and business systems
- Repository: 0xDanielLopez/TweetFeed
- GitHub traction: about 658 stars
- Supports evaluation and analytics workflows
- Observability and quality tracking
Use Cases
- Used for team knowledge collaboration and task follow-ups
- Build internal AI workflow prototypes with TweetFeed
- Validate TweetFeed in production-like engineering scenarios
- Model evaluation and regression testing
- Monitoring AI application quality
- Business research and insight analysis
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/0xDanielLopez/TweetFeed. Community traction is around 658 stars.
It usually works as an execution component or capability layer, with common deployment fits such as: Used for team knowledge collaboration and task follow-ups, Build internal AI workflow prototypes with TweetFeed, Validate TweetFeed in production-like engineering scenarios.
