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So, I'm building mooomooo, which is my idea of what it means to replace tools like JIRA, linear, and such with a unified data model that can adapt to solo devs, small teams and huge orgs so I don't have to manually move tickets to done.
I hope I can do my first release soon :)
The goal is to replace clunky, expensive enterprise desktop tools (which often charge $10k+ for a wrapped version of the open-source US EPA engine). We want our version to be frictionless: login optional, runs entirely in the browser, and saves files locally to your device.
We are using the Functional Source License (FSL) to keep it sustainable while remaining open.
A simple 50/30/20 budgeting app built on manual entry.
I found AI/automated trackers just meant i started to ignore everything. Research also suggests manual tracking trumps automated/ai tracking. You actually need to do the manual work to understand your finances well.
I’ve been working on a custom RTOS for Cortex-M for the past 10 years: https://github.com/raphui/rnk It started as a way to learn RTOS internals, and over time it has grown into something with lots of nice features. I’m even using it in a dirtbike anti-theft tracker I am building. Also, 2 months ago, I did a weekend challenge to build an embedded software parameter DSL and compiler. Its goal is to let firmware developers define configuration values, thresholds, constants, and other application-level parameters in a structured, human-readable format, and compile them into binary data that the firmware can directly use. https://github.com/raphui/epc
Happy to get any feedback :)