carsenk · HN

Frontier.fast – Help push the frontier of LLM speed forward

dev_dan_2 · HN

WatchMachineGo – A visualizer to show hardware performing LLM inference

tdubey · HN

DWS A LLM Generated, "Drudge Report" style news site

brianhabana123 · HN

TensorRT-LLM running natively on Windows (no WSL)

u/ornymo_official · Reddit

how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

@DeveloperL92487 · X

I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache

@QAInsights · X

@MBrew26730 · X

Dataset cleaning + fine tuning + continual learning at

cdnsteve · HN

Tokenstead, find AI models for your hardware

davidtsong · HN

Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

SteveDeFacto · HN

Hi HN, I built Enclave, self-serve confidential compute on GPUs. Technical documentation is on the site, but I'd rather show than tell. Here are a couple apps hosted live on the platform: LLM Chat bot: https://cc1f4f3f.app.enclave.host AI Image Generation: https://da09d0f2.app.enclave.host If you have any questions, I would be more than happy to discuss.

fristovic · HN

She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with something that is approximately in the same ballpark as some of the benchmarks out there lol