Duolingo-style AI concepts learner
The assignment
Build an app that makes you learn AI concepts the Duolingo way. Wire it up with PostHog for analytics.
✳What Akshay shipped
AILearn is described as a ‘Beginner Platform’ for learning AI concepts, gated behind an account sign-in screen. Its sign-in copy references XP, level progress, and completed reviews as part of its learning mechanics.
✳Our read on this build
Akshay shipped a deployed web app you can open. Parts of it sit behind a sign-in, so this read leans on what is public plus Akshay's own description.
What it demonstrates
- The return loop is real: XP, levels and spaced review — the mechanics that make a habit instead of a bookmark.
What is not shown
- The concepts covered are not listed publicly, so how far past 'what is AI' this goes is unclear from outside.
- No analytics wiring is visible in what is public, so how the app is really used stays unknown — including to its builder.
Take this awayWorth borrowing the lesson granularity. The harder design question underneath it is what earns a second session — content rarely does that alone.
✳Why this quest matters
Retention is a design problem, not a content problem. Wiring PostHog in from day one is the tell of a builder who ships to learn from real behaviour — rather than to admire their own screenshot.
✳What separated the strongest builds
A loop worth coming back to
Bite-sized lessons, instant feedback, and a reason to return tomorrow — streaks, XP, spaced review. A long article with a quiz at the end is not the Duolingo shape.
Concepts that are worth the streak
Tokens, embeddings, attention, hallucination, RAG — the vocabulary a PM needs in a real conversation, not 'what is AI' trivia.
Instrumented, not just launched
PostHog wired in and firing real events. An analytics claim nobody can verify tells a reader nothing about how the product is used.
No numeric scores are published here. These pages are written reads of what each builder shipped — the build is the point, not a mark out of a hundred.