For the past four months, I've been building a window manager for MacOS based on my 2009 concept video 10/GUI.

I've overcome about a dozen "there's simply no way to do this in MacOS and I have to abandon the project" challenges so far. MacOS really does not want to let you manage windows in this novel of a way, and I've had to come up with a handful of tricks to maintain the illusion that the WM is accessing the compositor at a lower level than it actually is. But it works, and I'm dogfooding it as I go!

I'm hopefully only a few weeks away now from a full announcement and a beta. If you're curious to try the first beta, feel free to get in touch at clayton at presteign dot com.

I finished wiring up the backend data merge so user(s) (aka me, really) can record trees as they walk and have those merged into the general city data on my urban tree map app[1]. There's some very cool trees in the neighborhood I'm excited to have recorded.

Which leads me to trying to get the processing off github actions (it's all duckdb pipelines), which has led me to improve the orchestration implementation of my 'better sql' [2] to optimize the asset based refresh flow. I'm now wiring that up in a general cloud service to give me the data orchestration platform I've always wanted. Building a multi-tenant cloud experience has been interesting!

[1]: https://greenmtnboy.github.io/sf_tree_reporting [2]: https://github.com/trilogy-data/pytrilogy

I'm working on https://wireplug.org:

wireplug lets you create mesh VPNs using standard WireGuard. Your wg config files stay almost the same, except you no longer have to specify an `Endpoint` for your peers. Instead, wireplug detects all your possible endpoints (including LAN) and coordinates them with your peers for you. It handles NAT traversal and works with the in-kernel WireGuard driver on Linux and OpenBSD. This lets you keep managing your own keys and network topology, while also maintaining connectivity when moving between networks.

Currently working on improving NAT traversal by adding support for PCP and NAT-PMP.

I created a make-your-own-circuit simulator in python to help learn electronics. The best part about this is that it is entirely hosted online and people can just go through the lessons, learn electronics by skipping the maths, and in the process have made their own circuit simulator (which is arguably a pretty cool project on its own) at the end of it.

https://spicycircuits.dev/

I've been working on a Persian classical poetry archive with LLM-generated translation. As a poetry enthusiast but a non-speaker of Persian, I wanted to read Rumi, Hafiz, and Bedil, but found myself jumping between ChatGPT and Google Translate. I sourced my data from Ganjoor, which was luckily available via their public API. Then I quickly put together a website with bring-your-own-key translation feature.

For now, there's no backend and it's hosted on GitHub Pages; it's a static website reading chunks from an sqlite-based DB file. I intend to change it in the future by running an LLM (preferably a frontier Gemini model, as works great for Persian) over the whole data set so you won't need a key to read the translated poetry. However, I don't have the budget of $1000-$2000 to spend on the tokens currently.

Website: https://0x5ce.github.io/farsidaan

Code: https://github.com/0x5CE/farsidaan

P.S. Contributions welcome.

A Drobpox like app that works with FTP and every other storage protocol along gateways to access your Dropbox over FTP, SFTP, S3:

- the desktop client: https://github.com/mickael-kerjean/fdrive

- the web client: https://github.com/mickael-kerjean/filestash

I’m exploring how to use AI for faith oriented experiences and products. There are two specific areas I’m interested in. I’m furthest along with this app in the App Store. https://trysojourn.app

1) grounding LLM scripture references in the actual text and eliminating hallucinations. This is the platform for that. https://withlattice.com

2) how to use AI to get people into scripture more as opposed to being a substitute for it. This is the product I made for it - it uses #1 above. https://trysojourn.app

I’m currently on the beach at Google (since mid July), so I’m looking internally and externally for a new role. But I’m exhausted, so I’m playing around with local LLMs and DeepSeek more as well. I’m currently trying to get an agent harness going where orchestration happens via bazel, and agents are completely isolated beyond what context you give them access to as expressed in starlark. Agent executions are organized as a DAG like a build would be, where the output of one agent can serve as context for another (there is also a feedback mechanism which is needed for arbiter nodes).

I’ve mentioned it before, but we can get some pretty good results for developing implementation and tests with this setup. The context isolation makes it easy to separate test and code writing using a specification as a source of truth. Tests are then run by an arbiter that feedback to tests or implementation depending on who it blames for test failures. The tests are then treated as an independent implementation, and through the math of coincident errors, the arbiter feedback loop ensures that both are eventually correct (N-versions and clean room research did this with humans in the 80s). This then allows us to use less reliable LLMs to develop code, like Qwen on a MacBook Pro.

I hope to have something out on GitHub before my beach period ends (well, if I’m unsuccessful in getting a new role, then I’ll have a lot more time to play at least).

https://finbodhi.com - An app for your financial journey. It helps you track, understand, benchmark and plan your finances - with double-entry accounting. You own your financial data. It’s local-first, syncs across devices, and everything’s encrypted in transit (we do have your email for subscription tracking and analytics). Supports multiple-accounts (track as a family or even as an advisor), multi-currency, a custom sheet/calculator to operate on your accounts (calculate taxes etc) and much more. Supports price fetching for most Indian investment vehicles and US stocks. You can create custom dashboards with leading/trailing/rolling charts for investment options and benchmark.

We will soon add more import conveniences, like asking your llm to generate importer for your special pdf formats. See https://finbodhi.com/changelog for details.

We also write about related topics:

We wrote about comparing investment options: https://finbodhi.com/docs/blog/compare-charts

Benchmarking your returns: https://finbodhi.com/docs/blog/benchmark-scenarios

Understanding double entry account: https://finbodhi.com/docs/understanding-double-entry

I'm figuring out stepping stones in getting closer to user data autonomy. A natural starting place is our professional history.

So, I'm building a compatibility layer; something that works with everything - including your own vibe-coded personal CRM.

It's already helping - even something as simple as correlating calendar events with new connections so that you always know where you met someone.

https://tend2thrive.com if you're curious; It's live, so DM me if you'd like an account rather than just hitting the waitlist.