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thank you! :)

Yes, for messy real-world photos a lightweight CNN would probably outperform the deterministic decoder, but I’d still use it in a hybrid pipeline with classic CV for blob detection and deterministic logic for reconstructing the actual program.

Author of this silly project here!

Sharing a bit of backstory on why I decided to work on this; Firstly, “for fun” but primarily because I felt like I started losing the childlike wonder/whimsy I once had with programming.

So I started this new hobby where I ask myself “can I hack on this?” upon getting/seeing something.

For instance, I got this new Aula F75 keyboard (really good keyboard for the price btw, it sounds good too!) and it only has dedicated control software for Windows. So I downloaded the driver files, software executable, and manual sheet and reverse engineered the full protocol/packets and rebuilt it for my Mac. Then played snake with the backlights. Fun.

Anywho, happy to see my blog on the front page. Would love to hear if anyones going through something similar or working on silly little projects! :)


Fun project! I had a similar project a while back, but my medium of choice was the Uno card game. I called it UnoScript [1] and it had similar mechanisms as color was an important factor. I also ended with a stack as the main part of the language, where different colors/combinations of cards could read from/modify the stack. Interesting how similar constraints can lead to some similar design choices!

[1](https://github.com/berlinquin/UnoScript)


Great post, thanks for sharing it!

When I saw the title, I thought of Lambda Calculus[0] and SKI combinators[1]. Given that there are "only six useful colors", I wonder if M&Ms could be used to implement them.

0 - https://en.wikipedia.org/wiki/Lambda_calculus

1 - https://en.wikipedia.org/wiki/SKI_combinator_calculus


Funny you mention that, because yes, a combinator-style encoding is probably a cleaner fit for the “only six colors constraint than my stack machine. I hacked together a tiny SKI-flavored M&M reducer as a proof of concept: B=S, G=K, R=I, Y=(, O=), and N... is a free atom, so `B G G NNN` reduces to `a2`.

Gist: https://gist.github.com/mufeedvh/db930a423fdce8c1d8e495c7a3f...


That is too cool, thanks again for sharing your exploration.

I suppose the only question remaining is if peanut M&Ms are higher-kinded when contrasted with the chocolate-only nullary type.

:-D


This makes the world a better place. I got a little oxytocin hit just from the thought that somewhere on this world, someone is working on this problem. Now I'll be kinder to old ladies and give those poor puppies a pass.

Does this work with real candy?

Yes! Just make sure to take a photo on a plain white surface is all.

With:

  uv run mnm decompile path/to/photo.png --mode photo

For small codebases, you can run this tool on the entire directory and it would generate a well-formatted Markdown prompt detailing the source tree structure, and all the code. You can then upload this document to either GPT or Claude models with higher context windows and ask it to:

- Rewrite the code to another language.

- Find bugs/security vulnerabilities.

- Document the code.

- Implement new features.

You can customize the prompt template to achieve any of the desired use cases. It essentially traverses a codebase and creates a prompt with all source files combined. In short, it automates copy-pasting multiple source files into your prompt and formatting them along with letting you know how many tokens your code consumes.


This would be good to have in the README.md, I've submitted a PR with your comment here: https://github.com/mufeedvh/code2prompt/pull/1 :)

I could see this tool being useful for a few of my use cases, thank you.


Merged, thank you! :)


What do you mean my small codebase. I hope not the normal todo repos or basic apps. Can this be run on production codebase like a java application having dozens of microservices inside it.


Yes, this just depends on the model you're using. Small-medium size codebases would fit inside Claude's 200K context window and Gemini 1.5 has a 1M context window which would essentially fit 99% of codebases.

For reference:

- The Flask web framework for Python: 131880 tokens

- The Spring Framework for Java: 11070559 tokens


Ah, now I get it, thanks, makes sense.


I have made a simple CLI utility[0] with this purpose in mind. It scans your entire filesystem for README.md and FUNDING.yml files for a set of donation/sponsor links and tag it with the associated repo (No HTTP calls, just the assumption that most repos link their support URL in either of these files). The output is a CSV sheet containing the open-source dependencies/libraries you use in your system that accepts donations.

I have plans to expand/plug this into a donation aggregator platform like you mentioned if time permits. But if there is an existing effort for the same, I am happy to contribute. :)

[0] - https://github.com/mufeedvh/paydept


Hey this is pretty great, and the code is so simple. I guess it only works if you have the sources checked out somewhere, which isn't the case for all build tooling and package managers, but I could see an extended version of this that hooks into the standard package managers to fetch the required information to complete the report.

If you can also hook into an accounting system (eg plaintextaccounting.org) then you could also calculate the whole dollar amounts to donate as some percentage of income from the product.


Thanks! :)

It currently does gzip compression by default. Compression modes for specific files sounds interesting, I will definitely get around to implementing that.


Backstory: What started as a personal project to quickly host some web pages turned into a rabbit hole of yak shaving and that is how I ended up making Binserve. I automated the steps I usually take to host static pages into this project which is tweakable via the configuration file. And its also pretty fast.

Let me know your feedback/suggestions!


Hello HN,

I made a small CLI utility that walks your filesystem to find dependencies you use that are seeking donations.

It does so by parsing FUNDING.yml and README files which almost every project embed their support links.

It can export the list to a CSV file as well.

GitHub - https://github.com/mufeedvh/paydept

Please let me know what you think! :)


TLDR; Just a fun little project of mine that born out of an idea to utilize Gist as a blogging platform, I hope you find it useful.

All I wanted to do was write a blog but got completely distracted on choosing a static site generator or a blogging solution. I have tried some static site generators but I personally find entering the metadata section (frontmatter) for each markdown file repetitious. I have used blogspot and wordpress a lot so I am used/into writing blog into a web page (rather than a text editor) and just publishing it without thinking about files or metadata.

So I thought it would be useful to utilize Gist as it comes with a good Markdown editor, an integrated comment section, starring (bookmarking), and revisions (commits) for metadata. I didn't complete the blog but for those who actually want to write one, try out writing them via Gist.

NOTE: I hope someone who's good at CSS will contribute a better starter theme, I would really appreciate it.


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