Explain Like I'm Five for ArXiv Papers
Explains arXiv papers for kids with MPAA-style content filters for parents.

User-adjustable ranking factors in a space DuckDuckGo and Searx already dominate.
Privacy-conscious researchers and Israeli content seekers
DuckDuckGo · Searx · Startpage
I’m working on an Israeli search engine with a focus on deeper search across Israeli, academic, and scientific content.
One feature I recently added is that users can adjust their own search boost factors. For example, they can give more or less weight to title, domain, URL, language, document type, or page content.
Search remains anonymous and ad-free.
I’m interested in feedback from people who care about search, indexing, crawling, privacy, and ranking transparency:
Would you find this kind of user-adjustable search ranking useful?
Explains arXiv papers for kids with MPAA-style content filters for parents.
AI coach that reads your Intervals.icu data to adjust daily workouts automatically.
Gamifies perceptron tuning to teach loss functions before gradient descent.
Facial recognition ensemble paper, not a shipped product or reproducible codebase.
Pretty dot grid animation with sliders, but shader toys already do this better.
Deeply tunable boids simulation that visualizes emergent flocking behavior in real time.