RSS Swipr

Tinder-style swipe RSS reader that trains a personal ML model to recommend articles

Webfreeglobal

RSS Swipr is a swipe-based RSS reader that learns a user's article preferences from their swipes, clicks and reading time, then trains a personalized machine-learning model to recommend content they'll enjoy. All data and processing stay local in SQLite, with no cloud dependency.

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Full match profile

Behind the summary, Matchbox keeps a richer profile of RSS Swipr - the signals our matcher actually reads to decide when to surface it. It stays private; claim the listing to see and control it.

Problem & pain-point mapping
Who we surface it to (audience fit)
What it's a strong alternative to
Trust & credibility signals

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