
Trunchbull
Run real models against benchmarks in your browser to detect performance regressions before production.
pepperpoppins · HN
Trunchbull, run real models against any benchmark in your browser
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23 projects

Run real models against benchmarks in your browser to detect performance regressions before production.
pepperpoppins · HN
Trunchbull, run real models against any benchmark in your browser

Upload datasets to automatically find statistically significant correlations and causal relationships.
@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.

Analyze your codebase to identify where changes introduce risk.
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(

Research terminal for analyzing prediction market data and trends in real-time.
@AestusValueLab · X
Bloomberg for prediction markets

Accurate MRR, churn and LTV for SaaS, built from your Stripe, Paddle, Creem or Asaas billing data. Then ask Kometrics AI anything about your revenue and get an answer with the repo
@camposped · X
Subscription metrics for the AI era:

Canvas for inspecting LLM weights tensor-by-tensor with quantization error and distribution analysis.
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
See estimated energy, carbon, and water impact of AI-generated content in relatable units.
daniloedu · HN
Energy, carbon and water estimates for AI content, shown as ranges

Analyze your product to diagnose market fit and uncover growth bottlenecks.
@teslaptimus · X

AI platform for macroeconomic research with daily analysis, central bank monitoring, and trading tools.
@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).

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

Detects churn risk by analyzing customer health across product, billing, and CRM data.
@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:

Analyze German property listings to find hidden costs, assess renovations, and optimize government funding programs.
martinvoelker · HN
I built an AI that reads German real estate listings for buyers