Groq Emulator
Demystifies Groq's LPU architecture with a working static dataflow model anyone can inspect.

Server-side Swift + HTMX with intentionally throttled Groq responses for natural chat feel.
Developers, designers building personal sites
I recently updated my website to have a touch of this new AI thing.
The initial idea was simple: what if visitors could explore a CV by chatting with it instead of scanning a traditional static website?
I'm quite happy how the final version turned out:
* It runs LLM inference via Groq at 100-200ms latency at super low cost. The token generation is intentionally throttled to make the interaction feel natural, otherwise you'd literally hit enter and the response is already there.
* Except for a markdown rendering and HTMX4 there's no client side javascript!
* It's build with a custom server-side swift stack so everything related to the HTMX4 static site generation and networking layer is pure swift.
* As a nice side effect, search engines/crawlers cannot collect my CV right away, everything is bound to interactivity with the chat interface.
Technically you can ask the chat anything you want about my professional work experience. Rate limits & guard rails apply :)
I'd love to hear your thoughts.
Demystifies Groq's LPU architecture with a working static dataflow model anyone can inspect.
Just a Drive folder with zip files—no docs, no code, no demo.
It reads your Swift sources and flags accessibility problems with exact line numbers, suggested fixes, and WCAG references — handy for catching issues in CI or locally via a Homebrew-installable CLI. Practical execution is clear (SwiftUI/UIKit rules, Xcode/CI output), but the rule set is small and several checks are behind a paywall, so it's a strong team tool rather than a category-redefining product.
Blog post about prompts, not an actual tool or shipped code.
Two-slot ring buffer cuts MLP RAM usage to the practical lower bound on microcontrollers.
Terminal portfolio template when dozens already exist on GitHub.