911–920 of 1001 posts
It's a chrome extension that let's me extract and summarize YouTube videos without even clicking into it.
There's too much YouTube click baits that require a long watch time. This let's me get the sauce without the watch.
I'm working on a real-life social app called Holler ( https://justhollerapp.com ). I'm an introvert and socially anxious, but I do enjoy hanging out with my friends. I just HATE the invitation-and-coordination game. If someone invites me and I don't want to go, I hate having to come up with a socially acceptable excuse. Inviting someone and waiting for them to make a socially acceptable excuse is equally awful to me.…
After 3 years of dev, we're just about finished shipping preorders. For US customers, black units will ship immediately + white within 3 weeks.
Lots of learnings on this one. Getting lots of great feedback from early customers. As always, hardware is hard!
Lately I've been playing around with GPT-6. I have a much better webpage coming this week, with scrolling animations built with Blender and three.js. We also completely rebuilt our backend from scratch and moved off of AWS.
MiSTerFin is written in C and I'm much savvier with Go these days, so I (and my helpful Codex prompt) forked it and ported it to Go (where appropriate). I've since been obsessed, making improvements, smoothing out rought edges, and adding features, all get a great Jellyfin player on my CRT.
And I have to say, watching Robotech episodes on my 4:3 CRT from Jellyfin is a shot of nostalgia directly into my veins.
I'll add a bit more polish and get it published this week for others that might be interested.
My colleagues and I were not happy with the state of 3D object detection frameworks. Things like mmdetection3d, OpenPCDet, etc. try to do way too much than what's needed for a good 3D ML library. They even came up with their own version of pip named "mim"! vision3d focuses on just doing the things that you shouldn't have to author yourself when training a 3D ML model: semantic tensor types (using torchvision's TVTensor abstraction) defining point clouds, images, bounding boxes, etc., transforms, dataloaders, 3D object detection metrics and some (optional) visualization utilities. We also aim for excellent interoperability with torchvision. Almost all torchvision image transforms can be composed together with vision3d's. In vision3d when you compose transforms together we automatically check to ensure the operation does not break the geometric consistency of your 3D scene. See here for a nice interactive example: https://vision3d.dev/auto_examples/transforms/plot_transform...
Under the hood vision3d also does a lot of cool stuff to make consuming it as a dependency as easy as possible! For custom CUDA and C++ extensions we use the Torch Stable ABI meaning our single published wheel should work across any PyTorch >= 2.10. We also statically link to the CUDA runtime which allows our wheel to work out of the box on any host which supports CUDA >= 12.8!
Currently we are working on typing our API with Tensor shapes with Pyrefly (https://pyrefly.org/en/docs/tensor-shapes/). We aim to be one of the first libraries to support static tensor shape type checking (with some nice opportunities to contribute to Pyrefly along the way).
If you're working on 3D object detection research / training I highly recommend you give it a try!
https://github.com/knowthankyew/gradcast
Most college search tools stop at tuition. GradCast connects actual degree-level earnings to real local rent, federal/state taxes, and student loan amortization to show your real monthly take-home.
A proof-of-concept web application that helps students simulate their financial future after graduation — based on real college costs, program-level earnings data, local housing markets, and tax calculations. Built on the U.S. Department of Education's College Scorecard API and HUD Fair Market Rent data.
I am working on a Django-based JS-free forum[1] that I can self-host. Still need to work on some essential things, but the basic forum functionality is already there. [1]: https://codeberg.org/ZelphirKaltstahl/xiaolong-forum
JS-ful in some parts - but mostly Rust cloudflare workers WASM. It can self-host as well in a single binary + sqlite. MIT.
Trying to figure out a good defense to the bot-infestation problem next.
[1]: Test site (readonly example data - not yet ready for the public): https://dev.notespace.org