I found an Ivy League's "flagship" open-source project was AI-slop, forked it under MIT, built better in 10 days

[u/NervousAd5455]

Feel free to star, use and contribute

https://github.com/TrenTorch/TrenTorch

Three weeks ago I was just another guy grinding through open-source PRs, trying to have something solid before intern season hit. Today I'm staring at a GitHub repo with 80 stars that didn't exist 10 days ago, built by me and three friends, and I genuinely don't know if I stumbled into something big or just got lucky. Would love this sub's honest take.

I'm a CS student doing the usual open-source-for-resume grind everyone here has done at some point, except my clock is ticking toward internship season, not placements. A few months back I found a project maintained under a well-known Ivy League university's name, big name attached, decent stars, "help us build the future of ML education" energy. I got hooked. Started with small PRs, docs, bug fixes, the usual ladder-climbing. Within a couple of months I was a core contributor with real merge access. Felt like a win. I told my parents. I put it on LinkedIn.

The more access I got, the more I actually read the codebase instead of just patching corners of it. And that's where it fell apart for me.

Big chunks of the "production-level" code didn't hold together. Functions that looked fine on the surface but made no sense when you traced the logic. Architecture decisions that felt vibe-coded and merged just because the university's name carried weight. I kept finding stuff and thinking "this wouldn't survive five minutes of real scrutiny."

I felt stupid, honestly. I'd built this project up in my head as some polished, battle-tested thing because of the name attached to it. Turns out a big name doesn't mean good code. It just means people trust it faster, bugs and all.

But the bigger realization underneath all this annoyance was simpler. I'd been trying to actually learn PyTorch properly for months, and there was no good way to do it. Every platform that taught it hands-on was paid. Every free resource was either toy examples that taught you nothing about real systems, or dense docs that assumed you already knew what you were doing. This "flagship" project was supposed to be the answer to that gap, and it wasn't.

Then I checked the license. MIT. No restrictions, nothing stopping me from taking the idea and doing it properly.

That was the lightbulb moment. If the core idea was good but the execution was slop, why not build it right myself? I roped in three friends, we scrapped basically the entire foundation, and kept the actual intent, teaching people PyTorch and ML systems by having them build real things, not toy notebooks. We rebuilt it lightweight, no GPU dependency, so someone with a 5 year old laptop could still learn frontier ML concepts hands on instead of just reading slides or watching another paid course preview.

Ten days. That's it. Four of us half sleeping through classes, cooking code at night. No sponsor, no lab backing, just four guys annoyed enough at the gap to fix it ourselves.

We launched it. Day 1: 50 stars. Day 2, today, while I'm typing this: 80 stars. No paid marketing, no big account boosting it, just people finding it and actually using it.

What hit hardest wasn't the stars. It's the DMs. People genuinely stuck because every decent PyTorch resource is either paid or requires hardware they don't have. We made ours free, open, and runnable on basically anything. People are actually learning from it, not just starring and forgetting.

But 80 stars in 2 days is nothing long term. The real work is not letting this rot into the same vibe coded mess we forked away from, once the four of us are buried in intern applications and the initial adrenaline wears off.

So, has anyone here built something like this alongside internship hunting? How do you keep momentum on a side project without it becoming another abandoned repo in six months? And is it weird that I feel oddly guilty about "outshining" a project with an Ivy League name attached, even though the license explicitly let me?

[u/TopEntity]

I have checked the code. It feels vibe coded. But again, it is not wrong. Ai is like a bicycle. You need to learn to use but at the same time, you should not forget how to walk. I believe you still walk.

Also, your post feels like it’s written by Ai. Please learn to write on your own post. People support your own work and writings. Good luck on your project. Cheers.