A few months ago I got tired of the same problem: you finish a "backend course," feel great for a day, then realize you still can't build anything real or pass an interview.
So I started building the thing I wish I'd had when I began. Today it's finally live: https://asbackendinstitute.com
Posting it here because dev.to is where I learned a ton — I'd genuinely love your feedback.
Why I built it
Most resources hand you videos and call it a day. The gap between "I watched a tutorial" and "I can actually build and get hired" is where people give up. I wanted the whole thing to be hands-on and job-focused.
What's inside
Instead of just videos, I tried to make everything practical:
- Node.js & Socket.io courses — from scratch, with an English/Hinglish toggle (India-first audience)
- A 24-topic roadmap with progress tracking, so you always know what's next
- AI mock interviews — two interviewer personas that actually grill you and score you
- DSA practice with a "select any line → AI explains it" helper
- Live classes with recordings + AI-generated notes
- In-browser dev stack — run MongoDB and code without any local setup
- A "Backend Ready" certificate you can only earn by proving skills (no participation trophies)
- Resume + portfolio builder
- Installable as a PWA
The tech (for the curious)
- Frontend: React + Vite → Netlify
- Backend: Node.js + Express (ESM), MongoDB + Mongoose → Render
- Realtime: Socket.io for live classes/chat, WebRTC (mesh) for video rooms & 1:1 calls
- PWA: service worker for install + web push notifications
- AI: Anthropic / Gemini / Groq for the interview, explainers and notes
A few things I learned (the hard way)
- WebRTC across mobile networks is brutal. STUN alone isn't enough — symmetric NATs (hello, mobile data) need a TURN server. I spent way too long debugging "why won't the remote video show up."
- Cache invalidation is genuinely one of the hard problems. A stale server cache + client cache had me chasing "why isn't my new logo showing" far longer than I'd like to admit.
- Shipping beats perfect. It's not finished — but it's real, and it's out there.
It's live — feedback welcome 🙏
👉 https://asbackendinstitute.com
If you're learning backend (or teaching it), I'd love to hear what you'd want added. I'm actively building on it.
Top comments (4)
The STUN-only WebRTC failure on mobile networks is exactly the kind of production constraint that turns a "video room" feature into a real infrastructure decision; planning for TURN early saves a painful rewrite once learners are actually on cellular connections. Pairing that hard-won reliability with the 24-topic progress roadmap and an in-browser MongoDB setup tackles the more important learning problem: getting people from passive completion to repeated practice. The founder tradeoff is that AI interview personas and live classes can widen the product quickly, but the clearest retention signal will probably come from whether learners can.
Really appreciate this — you nailed the exact thing I keep coming back to. 🙏
You're right that features can widen the product fast, but retention lives or dies on whether people actually come back and practice. That's why I'm leaning less on "content" and more on habit loops: a daily practice tracker with streaks, a batch leaderboard, roadmap progress you can see, and a certificate you can only earn by proving skills (not by finishing videos). The bet is that "showing up again tomorrow" matters more than any single feature.
And yeah — TURN was a humbling lesson. Planning it early would've saved me days. 😅
Curious about your take: for a learning product, what's the retention signal you trust most — streak/day-N return, or something like "shipped a real project"?
I'd say streaks have a stronger weight for user success and points to a stickier app. But, streaks are eventually broken so for a 2nd-place metric I'd say to track percentage of check-in days vs total days, though I wouldn't display this metric to the user. An aggregate tally of total check-ins might work best. This is how I track success in my meditation habit. My longest streak has only been 18 days, but I've been meditating 3 or 4 times per week for 5 years. The meditation app I use, Calm, shows an all-time aggregate tally of the number of days I use it. It allows me to set personal goals like getting to 10,000 sits in my case.
This is gold, thanks Marcus. "Streaks are eventually broken" is exactly the trap — one missed day and streak-based motivation collapses. Tracking % of check-in days vs total days as the internal health metric (not shown to the user) is perfect — forgiving, but still honest about consistency.
The Calm aggregate-tally angle is smart too: "you've shown up 47 times" survives a broken streak in a way "streak: 0" never does. So I'll keep the streak as the visible nudge, track rolling check-in % as the real retention signal behind the scenes, and I just shipped a lifetime "days practiced" count (Calm-style) that survives a broken streak.
5 years at 3-4x/week with an 18-day max streak is honestly the perfect proof of your point — consistency beat the streak. 🙏
One thing I'm still torn on: when a streak does break, do you soften it at all — a Duolingo-style "streak freeze"/grace day — or let it reset clean? My worry is that a freeze quietly kills the honesty of the metric, but a hard reset might scare off the exact people who need one more nudge. How would you handle it for a learning habit?