My roommate and I are still working on Tornyol, our mosquito killing drone! It uses ultrasonic sonar to detect mosquitoes, and missile control theory to ram into mosquitoes and grind them in its propellers.

Our target platform is a 40 grams tinywhoop so it’s safe to fly everywhere and makes almost no noise :). A Roomba for mosquitoes!

The main plus compared to traditional systems is that a drone can cover an enormous surface in a short time compared to static systems or man-portable insecticide spraying. Our goal is to be competitive with ITNs against Malaria.

Some links :

https://hackaday.com/2025/03/25/supercon-2024-killing-mosqui...

https://manifund.org/projects/build-anti-mosqu

Optimizing the Marginalia Search index code. The new code is at least twice as fast in benchmarks, but I can't run it in production because it turns out when you do it's four times as slow as what came before it for the queries that are the simplest and fastest to the point where queries exceed their timeout values by a lot.

I'm 97% certain this is because the faster code leads to more page thrashing in the mmap-based index readers. I'm gonna have to implement my own buffer pool and manage my reads directly like that vexatious paper[1] said all along.

[1] https://db.cs.cmu.edu/papers/2022/cidr2022-p13-crotty.pdf

I'm continuing the work on Cellm, an Excel extension that let's you call LLMs in cell formulas like =PROMPT(A1, "Rate the sentiment of the customer feedback as positive, neutral, or negative"), and then drag the formula down to apply the same prompt to thousands of rows. I built it after my girlfriend had to manually classify 7,500 research papers. Cellm automates that kind of repetitive work.

Since we added MCP and the use of structured output to "spill" multiple return values into adjecent cells, it is the quickest way I know of to monitor competitors blogs everyday before my 09:00 meeting. And also the quickest way I know of to test new AI models. I have a sheet with SimpleQA, MMLUPro, or GPQA Diamond and testing a new model is a matter of adding a new column. The whole idea is to enable normal people (like, non-techies) to automate manual, repetitive tasks with AI like programmers routinely do.

https://github.com/getcellm/cellm

Working on Tritium, the legal IDE in Rust (https://tritium.legal/)

This month I'm improving CI/CD for e2e testing across Windows, macOS, Linux and Android. Also adding support for unlocking password-protected PDFs and Word docs and improving OCR. OCR runs in the background and leverages native OS OCR where available and a pure LSTM Rust implementation elsewhere. Generally improving the word processor and looking for speedups. Adding a cross-platform spellchecker leveraging native where possible, too.

Play with it online: https://tritium.legal/preview

Download for free: https://tritium.legal/download

Have you ever wanted to write your life story but found it too overwhelming? I’m developing an app that acts as your personal interviewer, guiding you through your memories and helping you share them with your loved ones.

The app is designed for older adults who enjoy reminiscing but struggle to organize their thoughts into a coherent narrative. The goal is to preserve their hard-won insights and pass them down—to family members who may be too busy to ask the right questions now, and to future generations who would otherwise never hear these stories.

I have a working prototype that allows me to test the interview flow, and I’ll soon be sharing it with friends and family for initial feedback. I’m now looking for a designer to collaborate on the next phase.

Design will be a critical part of this app. The way stories are visually presented will be central to the user experience and will likely determine the app’s success. If you’re a designer interested in this kind of work, I’d love to hear from you. Given the text-heavy nature of the app, experience with typography and content-focused design will be especially valuable.