Ask HN: What Are You Working On? (April 2026)

Now ready to release https://mealplannr.io. The end game is no/low touch weekly meal plans sent directly to your inbox, with meals from the chefs you follow - with none of the hassle around planning the meals, shopping list etc (which I spend hours doing every week).

An important feature for me was improving the recipe discovery experience, you can build a cookbook from chefs you follow on socials (youtube for now), or import from any source (Web, or take pic of cookbook etc) - it then has tight / easy integration into recipe lists.

Utilising GenAI to auto extract recipes, manage conversions, merge/categorise shopping lists etc - as-well as the actual recommendations engine.

If anyone is interested in beta testing / wants to have a chat I'll look out for replies, or message mealplannr@tomyeoman.dev

I miss Pocket, so building an article bookmark tool, with a focus on a nice reading experience - https://broadsheet.marginalutility.dev/

Not working on it yet but planning some projects with the kids: - A candy classifier with Arduino for Halloween (the goal is to have trick-or-treaters choose their preferred candy and have the machine sift it out automatically) - A board game based on the idea of fog-of-war, details undecided - An app to reduce screen time

I'm working on ghidra-delinker-extension [1], a relocatable object file exporter for Ghidra. Or in other words, a delinker.

Delinking is the art of stripping program for parts, essentially. The tricky part is recovering and resynthesizing relocation spots through analysis. It is a punishingly hard technique to get right because it requires exacting precision to pull off, as mistakes will corrupt the resulting object files in ways that can be difficult to detect and grueling to debug. Still, I've managed to make it work on multiple architectures and object file formats; a user community built up through word of mouth and it's now actively used in several Windows video game decompilation projects.

Recently I've experimented with Copilot and GPT-5.3 to implement support for multiple major features, like OMF object file format and DWARF debugging symbols generation. The results have been very promising, to the point where I can delegate the brunt of the work to it and stick to architecture design and code review. I've previously learned the hard way that the only way to keep this extension from imploding on itself was with an exhaustive regression test suite and it appears to guardrail the AI very effectively.

Given that I work alone on this in my spare time, I have a finite amount of endurance and context and I was reaching the limits of what I could manage on my own. There's only so much esoterica about ISAs/object file formats/toolchains/platforms that can fit at once in one brain and some features (debugging symbols generation) were simply out of reach. Now, it seems that I can finally avoid burning out on this project, albeit at a fairly high rate of premium requests consumption.

Interestingly enough, I've also experimented with local AI (mostly oss-gpt-20b) and it suffers from complete neural collapse when trying to work on this, probably because it's a genuinely difficult topic even for humans.

[1] https://github.com/boricj/ghidra-delinker-extension

I am working on a system built around the OpenAI Responses API WebSocket mode as performance is something that interests me.

Its like a microservices architecture with NATS JetStream coordinating stuff. I want to keep the worker core as clean as possible, just managing open sockets, threads and continuation.

Document querying is something I am interested in also. This system allows me to pin a document to a socket as a subagent, which is then called upon.

I have hit alot of slip ups along the way, such as infinite loops trying to call OpenAI API, etc ...

Example usage: 10 documents on warm sockets on GPT 5.4 nano. Then the main thread can call out to those other sockets to query the documents in parallel. It allows alot of possibilities : cheaper models for cheaper tasks, input caching and lower latency.

There is also a frontend

Alot of information is in here, just thoughts, designs etc: https://github.com/SamSam12121212/ExplorerPRO/tree/main/docs