vaporaviatorlab

discovery + beautiful reading UX for papers feels overdue. Curious to see how the on-device AI and quiz mechanics actually change the way people explore and retain new research.

Cool idea – the local LLM space really needs a tool like this that actually understands hardware and real benchmarks instead of just “biggest model that fits.”

Didn’t expect a few lines of APL plus ballot-sequence magic to make random plane trees feel this intuitive—super elegant construction. Curious how this could be applied in practice, e.g. generative graphics or random UI/tree structures?

love this. It feels less like “remote control” and more like turning all your machines + agents into one coherent organism.

Curious how you think about the overlap with something like Tailscale, and where you see Loopsy being strictly better or worse.

practical! handy for quickly polishing dashboards, docs, and marketing pages without hunting all over the web.

like how thin this harness is. Letting the LLM work directly against CDP with just helpers.py + SKILL.md feels much closer to how I want “skills” to look: small, inspectable, and self-extending when the agent actually needs something (like that upload_file moment). Curious to see how far this pattern can go beyond the browser.

This looks great. Curious about the lip-sync — viseme set or just open/closed mouths? The South Park style is super forgiving but HyperFrames quality seems like it'd need more.