标签：#edtech

I built something I desperately needed: daily AI audio lessons from real developer trends (plus a Dutch coach for inburgering B1). The hardest part wasn't the AI. It was figuring out how to score genuine rising skills vs. one-day noise. I ended up building a cross-day momentum signal that rewards skills accelerating over 3+ days and dampers spikes. But I'm stuck on the next problem: how do you personalize this without storing user data? (I'm privacy-first, so no subscriber DB — Telegram holds the member list.) If you've solved this, I'd love your take. And if you're learning Dutch + coding, I'd appreciate you trying it and telling me what's useless. What I'm curious about: Is the momentum signal actually working — am I surfacing real trends or just noise? Would the Dutch coach be useful for expat developers in NL, or is it too niche? Technical details (for those who care): • 7 sources: GitHub Trending, HN (Who-is-Hiring + front page), Stack Overflow tag deltas, dev.to, Reddit, Lobste.rs • Map-reduce skill extraction with deterministic attribution (corpus scan, not LLM tally) • Grounded briefs: reads actual source text via Jina + Exa, cited sources • Delivered via Telegram (audio + PDF), Spotify podcast, email • Privacy: PII redacted at ingestion, no subscriber data stored Live: https://yusuprozimemet.github.io/LearnX-Radar/ GitHub: https://github.com/Yusuprozimemet/LearnX-Radar (P.S. This is still beta — I'm looking for feedback, not users. If you try it, tell me what's useless, not what's good.)

How I combined spaced repetition, adaptive algorithms, and clean UX to create a multi-purpose learning tool. I’ve always believed that memorisation doesn’t have to feel like a chore. After years of using (and sometimes getting frustrated with) existing tools, I decided to build my own. That’s how MemOrLearn was born in early 2026. MemOrLearn is a web-based adaptive learning platform that brings together flashcards, typing practice, math drills, and Bible memory tools — all powered by intelligent spaced repetition and performance-based adaptation. The Core Idea: Most flashcard apps follow a rigid spaced repetition schedule. I wanted something smarter — a system that actually adapts to the user in real time. If a learner is struggling with a concept, the algorithm increases review frequency and offers slight variations. If they’re crushing it, reviews are intelligently spaced out. This dynamic approach is what makes the experience feel responsive and human. Key Features: Adaptive Flashcards: The heart of the platform. Users can create decks or browse public ones. The system tracks performance per card and automatically adjusts difficulty and frequency. Clean, fast, and minimal interface — exactly how I like my tools as a developer. Typing Tutor: Built to help users improve speed and accuracy through gamified, adaptive drills. It adjusts to your current level so you’re always progressing. Math Drills: Focused practice on math facts with real-time adaptation. The system identifies weak areas quickly and targets them without wasting time on mastered content. Bible Memory Mode: A specialized tool many users love. It applies the same adaptive principles to Scripture memorization, making it effective for individuals, families, and small groups. Teacher / Parent Dashboard: A clean admin view that lets educators assign work, monitor progress, and adjust settings per student. Built with simplicity in mind. Technical Approach (For Fellow Builders): I focused on keeping the back