AI filtering for FeedLand?
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
Research direction
Start by reviewing FeedLand's existing API and the proposed use of user-written instructions for AI-based feed filtering. The issue does not name files, tests, or an implementation entry point; done would require an agreed design for the filter format, sharing model, and API integration.
Written by the indexing model from the issue text.
Description
We ought to be thinking about a filtering system for feed readers based on loose instructions written by users, and shared on the web, to be parsed by our AI. Design your personal algorithm with AI engine. Share the good ones with your friends, and have it work on the web, in any feed reader. There are ways to do that. If you're working on such a project, let's hook it up to FeedLand. It does a lot of feed reading, and has a nice API for downstream feed readers. It's a good place to put an AI-based filter.
- Dominant language
- HTML
- Stars
- 134
- Forks
- 10
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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