u/Icy-Relationship-465

Small one compared with the main thing I'm building, but I'm pretty happy with this.

Glyph Forge turns images, text, video, webcam feeds, screen captures and URLs into ASCII/Unicode art. There's a CLI and Python API, but the browser Studio is the easiest way to mess around with it.

It runs locally in the browser, needs no account, and exports PNG, SVG or plain text.

Try it here:

https://ace1928.github.io/glyph_forge/

Source:

https://github.com/Ace1928/glyph_forge

It's MIT licensed. I mostly made it because I wanted one character-art tool that didn't feel like six separate half-tools.

Hey everyone,

I'm Lloyd, the founder of NeuroForge. I've been building it from Queensland around a pretty simple idea: before a business spends heavily on AI, it should be able to see what will actually run inside its real hardware, data, connectivity, power and accountability limits.

So the commercial starting point is a small system-fit audit and local demo. We test one useful workflow in the target environment, show the working outputs and the failures, and give the customer a proper deploy, change, remediate or stop decision before anyone commits to a bigger rollout.

Behind that is ERAIS, the longer-term research programme. The aim is to make useful AI more selective with compute, easier to operate locally, and eventually practical across text, voice, vision and tighter field hardware.

It's still research and I'm not presenting it as a finished miracle product. In bounded internal tests we've seen promising signals on modest hardware, including higher reported-target throughput and lower CPU-package energy than a same-host dense reference. Those results are not yet quality-matched or proof of general superiority, but they're a big part of why I'm excited about where it is and where it could go.

I've finally got the public site into a shape I'm pretty proud of:

https://neuroforge.io/

The ERAIS overview and evidence boundaries are there too. Just wanted to share what I've been working on.

Happy to chat in the comments.