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Ask HN: What are you working on? (October 2025)

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Re: Ask HN: What are you working on? (October 2025)

#481
post #23

Microlandia, the brutally honest city builder. Posting this for a second time, because i’ve been working super hard on a steam release. last month’s “what are you working on” thread impulsed me to upload this game to itch and 1 month later, i’ve got a small community, lots of feedback and iterations. It brought a whole new life to a project that was on the verge of abandoning. So, I’m really grateful for this thread.…

I love this! I always enjoy greatly the deep simulations like you aim to. I'll definitely put this into my radar. Good luck for this project!

Re: Ask HN: What are you working on? (October 2025)

#482
Super silly but I'm searching for a mathematical backdoor in Bitcoin's secp and the secr curve. I saw that both curves use unsafe primes (p-1 factors pretty well) for the generator order.

So I'm trying to define a multiplication operation using primitive roots.

[0] https://leetarxiv.substack.com/p/if-youre-smart-why-are-you-...

[1] (The other time the US gov put a backdoor in an elliptic curve) https://leetarxiv.substack.com/p/dual-ec-backdoor-coding-gui...

Re: Ask HN: What are you working on? (October 2025)

#483
Working on Langoustine (https://www.langoustine.dev), a feedback loop layer for AI agents.

It’s designed to plug into frameworks like CrewAI, AutoGen, or LangChain and help agents learn from both successful and failed interactions - so instead of each execution being isolated, the system builds up knowledge about what actually works in specific scenarios and applies that as contextual guidance next time. The aim is to move beyond static prompts and manual tweaks by letting agents improve continuously from their own runs.

Currently also working on an MCP interface to it, so people can easily try it in e.g. Cursor.

Re: Ask HN: What are you working on? (October 2025)

#484
I’ve been working on DB Pro — a modern desktop database workbench built with Electron, React, and Drizzle ORM. It’s designed to feel fast, cohesive, and genuinely enjoyable to use — something that sits somewhere between TablePlus, Notion, and VS Code.

Right now it connects to local and remote databases like SQLite and Postgres, lets you browse schemas and tables instantly, edit data inline, and create or modify tables visually. You can save and run queries, generate SQL using AI, and import or export data as CSV or JSON. There’s also a fully offline local mode that works great for prototyping and development.

One of the more unique aspects is that DB Pro lets you download and run a local LLM for AI-assisted querying, so nothing ever leaves your machine. You can also plug in your own cloud API key if you prefer. The idea is to make AI genuinely useful in a database context — helping you explore data and write queries safely, not replacing you.

The next big feature is a Visual Query Builder with JOIN support that keeps the Visual, SQL, and AI modes in sync. After that, I’m working on dashboards, workflow automation, and team collaboration — things like running scripts when data changes or sharing queries across a workspace.

The goal is to make DB Pro the most intuitive way to explore, query, and manage data — without the usual enterprise clutter. It’s still early, but it’s already feeling like the tool I always wanted to exist.

You can see it here: https://dbpro.app

Would love to hear feedback, especially from people who spend a lot of time in database clients — what’s still missing or frustrating in the current landscape?

Re: Ask HN: What are you working on? (October 2025)

#485
post #365

A couple of months ago, I saw a tweet from @awilkinson: “I just found out how much we pay for DocuSign and my jaw dropped. What's the best alternative?” Me being naive, I thought “how hard could would it actually be to build a free e-sign tool?” Turns out not that hard. In about a weekend, I built a UETA and ESIGN compliant tool. And it was free. And it cost me less than $50. Unlimited free e-sign. https://useinkless…

agree.com is free though

And Adobe Fill & Sign.

Re: Ask HN: What are you working on? (October 2025)

#486

I found a neat way to do high-quality "semantic soft joins" using embedding vectors[1] and the Hungarian algorithm[2] and I'm turning it into an open source Python package: https://github.com/olooney/jellyjoin It hits a sweet spot by being easier to use than record linkage[3][4] while still giving really good matches, so I think there's something there that might gain traction. [1]: https://platform.openai.com/docs/g…

I love this as someone who used to work on max-weight matchings and now works on LLMs :)

Re: Ask HN: What are you working on? (October 2025)

#487
I’m building a small side project called https://www.localgeoguessr.com/ — a fun geography game that tests how well you know your local area. It’s still in a very early stage, not polished yet, but it’s somewhat playable.

The idea is to eventually add more categories like “restaurants,” “theaters,” “roads,” etc., so you can play based on local themes.

I’d love to hear your thoughts - any feedback on what you’d like to see, what feels off, or any issues you run into would be super helpful.

Re: Ask HN: What are you working on? (October 2025)

#488
ive got a couple ai scripts on the go, and i want to see if i can get the inference to run on my phone.

1. is something that can poll a bunch of websites workshop/events pages to see if theres any new events [my mother] wants to go to and send a digest to her email

2. is a poller to look up the different safeway/coop/save on flyers and so on to see whats on sale between the different places, then send a mail with some recipes it found based on those ingredients

Im most of the way through 1, but havent started on 2 yet.

Re: Ask HN: What are you working on? (October 2025)

#490
post #341

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…

Nice to see that you are still around with this after your https://news.ycombinator.com/item?id=45448525 was flagged because of LLM slop issues of your work. How are you addressing those?

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