Striga (https://www.striga.ai/) - Source code auditing built on artificial intelligence. Auditing source code with local LLMs, ensuring full data sovereignty. The latest noteworthy discovery - Double Free and possible RCE vulnerability in Apache HTTP Server with the HTTP/2 (CVE-2026-23918)

Fast, customizable, and extensible dock application -- fully written in Python, with built-in applets and full Linux desktop integration.

https://docking.cc

I've been cataloging my collection of American vintage ads (https://adretro.com). The collection has expanded considerably in the last year. I'm working on a front end search portal for users to use, to deeply search all aspects of the collection. Built on MySQL and Lucee. Meta data is extracted with OpenAI image, stored in MySQL FTS. I'll probably add vector search after I get it live.

I'm working on https://www.certkit.io. It started as a solution to handle TLS certificate automation for my other SaaS products, but we realized other people who run on-prem workloads might get something out of it.

It uses Let's Encrypt by default. We use delegated DNS to handle ACME challenge validation (we run the DNS, you just CNAME to us). This means you don't need to give us DNS credentials or anything. And for HA workloads it's great, because there's a central clearinghouse for certificates - so all the machines in your web farm (or whatever) get the same cert, but you don't run in to rate limits with LE.

We're recovering Windows Server guys so we made sure our automation works for painful windows workloads like IIS, Exchange etc. too.

We've had enough interest that we're building it out for real. Just left beta last month.

I'm working on Mathabito (https://mathabito.com/) - a suprisingly challenging addition and subtraction game. I'm currently testing multiplayer with peerJS, to figure out the best gamelogic. Right now it's a fully functioning single player experience with daily challenge.

1. Prepping to release the tool behind https://sourceryintel.com as open-source. The insane levels of breadth and depth in the research reports this tool is generating has blown me away completely.

2. Released "Postlet" (https://github.com/freakynit/Postlet), a tiny markdown-based static blog generator with a plugin pipeline, markdown + frontmatter pages, and theme support. Demo: https://postlet.pagey.site/ .. working on still adding more features.

Working on a tool to speed up iterations of backtesting Algo trading strategies (https://foxtradetools.com/):

- Visual tool for building strategies

- Backtest on site or MT5 EA using same json configurations

- Running EA live (or paper mode) in prod automatically feeds the trades back to the site for analysis

- The thing I am most happy with: you can click any trade in backtest result and see exactly which rules were true at the bar that fired

You can try it in action w/o signup using taster page (https://foxtradetools.com/taster)

Solo dev. Open to any feedback.

Good old fashioned machine learning (GOFML?) Using mixes of different sensor data from industrial 3d printing processes to production quality. Not as fashionable as LLMs at the moment but there's new innovations to make in the space, so it's honest work.

Working on https://github.com/zuzuleinen/algotutor, a tool I use daily to train in algorithms and concurrency using Go.

I use it every morning for about 15 minutes. Review the cards, then 1 problem in the algorithms, 1 problem in concurrency, and I'm done.

I wrote more here about my motivations for creating it: https://medium.com/@andreiboar/algotutor-using-ai-to-actuall...