681–690 of 1001 posts
I'm a filmmaker, so I built myself the filmmaking community tool that I wanted to use. I'm headed to filmquest in provo this month to premiere my short and that's gonna be a big test of my application. Check out my project and my short film at https://cinesignal.com/p/call154
The stoneware bitrot was legacy but eventually overwhelmed the architecture during an off-peak environment incident.
I'm tasked with fulfilling runtime dependencies to restore the wall framework, but had issues with build time mixing parameters not compiling well with the piecemeal building blocks.
I finally got it up and running through trial and error, though I sense a full rewrite will eventually be needed in the future.
I am working on the little book of algorithms: https://github.com/little-book-of/algorithms A project to implement 1000 algorithms. I have finished around 400 so far and I am now focusing on adding test cases, writing implementations in Python and C, and creating formal proofs in Lean. It has been a fun way to dive deeper into how algorithms work and to see the differences between practical coding and formal reasonin…
Wow, that looks fun and probably get to learn a lot about algorithms. I don't have any feedback, but rather a question, as I've seen many repositories with people sharing their algorithms, at least on GitHub for many different languages (e.g. https://github.com/TheAlgorithms ), what did you find that was missing from those repositories that you wanted to write a book and implement hundreds of algorithms, what did you…
No organization for learners either. It jumps straight into implementations without a logical flow from fundamentals. I want to build something more structured: start from the very foundation (like data structures, recursion, and complexity analysis), then move to classical algorithms (search, sort, graph, dynamic programming), and eventually extend to database internals, optimization, and even machine learning or AI algorithms. Basically, a single consistent roadmap from beginner to researcher level, where every algorithm connects to the next and builds intuition step by step.
Another very good resource for beginners is https://www.hello-algo.com. At first, i actually wanted to contribute there, since it explains algorithms visually and in simple language. But it mostly covers the basics and stops before more advanced or applied topics. I want to go deeper and treat algorithms as both code and theory, with mathematical rigor and formal proofs where possible. That is something I really liked about Introduction to Algorithms (CLRS) and of course The Art of Computer Programming (TAOCP) by Knuth. They combine reasoning, math, and practice. My goal is to make something in that spirit, but more practical and modern, bridging the gap between academic books and messy open source repos.
When someone dies, you don't get even one extra second to access the documents and information they meant to share it with you. Trying to fix this problem with Eternal Vault. Link: https://eternalvault.app
interesting
I am working on the little book of algorithms: https://github.com/little-book-of/algorithms A project to implement 1000 algorithms. I have finished around 400 so far and I am now focusing on adding test cases, writing implementations in Python and C, and creating formal proofs in Lean. It has been a fun way to dive deeper into how algorithms work and to see the differences between practical coding and formal reasonin…
Wow, that looks fun and probably get to learn a lot about algorithms. I don't have any feedback, but rather a question, as I've seen many repositories with people sharing their algorithms, at least on GitHub for many different languages (e.g. https://github.com/TheAlgorithms ), what did you find that was missing from those repositories that you wanted to write a book and implement hundreds of algorithms, what did you…
The VM and transpiler were originally implemented by hand, and later I used Codex to help polish the code. The generated output works, though it is a bit messy in places. Hopefully, after finishing a few books, I can return to the project with more experience and add better use cases for it.
I've been building a pretty visualisation of HN. You can see this Ask HN on this link: https://hackernews.life/?s=top&id=45561428&c=0 If you zoom out it's meant to look something like a thermal vent with cellular life. Rank and karma cause the cells to bio-illuminate. Each cell is a submission, each organelle is a comment thread, and every shape represents a live connection to the Firebase HN API. It also has feature…
https://hackernews.life/?s=top&id=45561428&c=0&t=1760303616
You can press the fast forward button or drag the slider to the right watch it evolve.
A Windows-like UI, but for macOS. I only recently reached an alpha - and I am looking for testers! - Alpha screenshot: https://drive.google.com/file/d/1Wi6MqxC17iIzfSL--_nNxHxbID1... - Rambling why I built it, plus Discord link: https://progress.compose.sh/about
Even though I am not your target audience (linux i3 user myself), I would be interested in knowing how much "hacking" the macOS system is required to do this. Is it hard to get a list of running apps for your Task Bar? Is it hard to list the apps for the menu? How about keeping it all "on top" while other windows e.g. get maximized/minimized/full-screen, etc?
I've been suffering from migraines for the last month, so have channeled my (non-migraine) time into a migraine tracker to try and find the root causes. All the tracking apps I tried all have nice complex forms, which is all well and good, unless...you are having a migraine. Rough idea is easy to use voice mode to record data, then analyze unstructured data with AI later on. I want to track all relevant life informat…
Also, a plug for Oliver Sacks's Migraine which taught me a lot about migraine with aura.