pepperpoppins · HN

Trunchbull, run real models against any benchmark in your browser

@matthew_meadows · X

Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.

u/jeremyStover · Reddit

My second paying customer bought a full year subscription. I have mentioned https://semfora.ai before, here and there on Reddit. I haven't talked much about what it really provides. I was hoping to drive up some organic traffic, from people that had the motivation to dig past the beta. Stupid idea, but now that we have passed pen tests and hit the minimum requirements check list for security audits, (see other threads about that) we opened up the beta to everyone. Two days after that(

@AestusValueLab · X

Bloomberg for prediction markets

@camposped · X

Subscription metrics for the AI era:

alesha-pro · GitHub

atlas Interactive canvas for taking an LLM apart tensor by tensor: measured INT8/INT4/FP8 error, distributions, spectra and outlier channels for every weight tensor

daniloedu · HN

Energy, carbon and water estimates for AI content, shown as ranges

@teslaptimus · X

@ChrizBogota · X

A great demo of why in Financial Markets you have to use Grok, it's not affected by "training cut-off date" like the other models. is 100% run on Grok, (but mostly built with Claude).

adam_rida · HN

Echo – Fable-level results at 1/3 the cost using open-weight models

@NicolaTowse_ · X

Hey there, just dropped a follow! I'm building a SaaS product which helps fintech SaaS to protect their revenue and reduce churn:

martinvoelker · HN

I built an AI that reads German real estate listings for buyers