Safe Boundary, a database security proxy especially optimized for AI agents: https://www.spectralcore.com/safeboundary

Launching for Postgres very soon (currently working on Supabase-optimal deployment). Continuing with Oracle, SQL Server, MySQL in the coming months.

Our superpower is a very fast parser with full static analysis engine. This enables not only blocking of destructive queries but also deep SQL rewrite for PII masking in real-time. It also means better syntax error messages which allow AI agents to adjust their SQL queries automatically.

Full workflow (parsing + static analysis + SQL rewriting + logging) takes less than 1ms.

I am in the process of launching my poultry RFID tags, “eFlock Smart Poultry Tags”. They allow farmers to count and identify all of the birds that they have. The project goes along with a mobile app, Manger, a tool that can be used to gather data about livestock (not just poultry). Tags should be available sometime this week, perhaps early next week on Amazon. Here’s a video of scanning: https://youtu.be/wilixJiyPYA Tags on Amazon: https://www.amazon.com/dp/B0GWTB1DR9 Manger app: https://www.manger.app/

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.

I'm working on World Watcher (https://worldwatcher.live). It's an interactive map of livecams around the world.

The idea is to have a better experience for navigating livecam streams that are publicly available on YouTube. There are a few livecam aggregators that include maps, but I never felt that any of them were satisfying, as they always require you to open new pages to watch the streams. On World Watcher, you can jump from place to place seamlessly.

You can also filter the streams by type of place or features, for example beaches or cams with audio. And if you don't know where to go, just try out the Explore button.

refactoring memory management in https://github.com/ryanczak/daemoneye to better support continuous operation over long time horizons where state of monitored services/things drifts and knowledge becomes stale over time.

I am working on a task manager that’s way more informative and resource efficient than the windows task manager and works on Linux. It also provides an informative dashboard for docker containers and web servers with proxy support and preference for streaming sockets supporting http and web sockets over the same ports.

I go on with my small side-business of modding Skyrim. During lockdown it wasn't clear what Bethesda games the paid mods store will cover; had it been only for new titles, I had only vague idea that Starfield would be some space sci-fi game, so my idea was to make puzzle-adventures using the base game assets (and blending in the world game is nice but optional), and puzzle-adventure is a very broad genre in itself, so maybe I would end up making up distinct unique gameplay for each of the modded games.

Recently I came up with an idea for a puzzle-adventure under Playstation mod limitations. That means no new assets, and no new scripts either. Simply, let's treat it as a different game, and see what can be done with that. I researched the built-in scripts, and oddly, every script that could be used to enable a game object was not repeatable. Ditto for scripts to disable an object. The only repeatable scripts were toggle scripts (disable an object if it is enabled, enable if it is disabled). So last week I prototyped some puzzles using that primitive only, and while doing so, I figured out how to trick the engine into making those do-once scripts repeatable, too...

Started some playtests for our game with my brother (I mean we don't REALLY have testers yet, we need a bit more work first because right now it's lacking 1 or 2 core elements of the fun / gameplay loop): https://srdnvntrz.itch.io/runz

also created and got our steam page validated: https://store.steampowered.com/app/4704420/runz/

We've been moving fast, it's our second project and we hope to deliver something people find fun and appealing, at least for our friends !

We suck at marketing though (such is the game dev burden), but we're having fun and learning stuff, which is what it's all about I guess.

https://fx.leftium.com (https://github.com/Leftium/fx)

Old-school graphics in modern TS.

Several years ago, it was not possible to blit an entire screen of random pixels to the screen at a decent frame rate without something like shaders.

Even though the screen is now even higher resolution, the CPU can now blast 2560x1440 random pixels to the screen at 90 FPS. Must be advancements in hardware and/or JS runtime. (The bottleneck seems to be generating the random numbers...)

I figured out how to make my TV static effect look more realistic:

- Mostly: TV "pixels" had wide aspect ratios[1]

- Larger "grains" (see info in corner)

- Also added subtle CRT scan line effect. ('C' to toggle)

- Looks different when animated (click to toggle pause; probably should emulate 60FPS).

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Started revisiting this rabbit hole while thinking about programming prompts from the new Recurse Center application[2]. They suggest about six different prompts; I figured out how to combine all the prompts together.

[1]: https://github.com/Leftium/fx/blob/33405b25dc7caeb48e6c563a3...

[2]: https://hn.leftium.com/i/47892660

A proactive AI that asks you for your daily goals and checks in if you're not working on them.

Right now working on framing this as an RL problem to better predict when nudging is actually successful and what kind of wording works best given the user data. Then applying the same logic to onboarding emails etc.

https://donethat.ai