Show HN: HoprLabs – a Python lab for prototyping AI math ideas

HoprLabs, a new open-source Python CLI and research toolkit, launched to simulate AI training math, estimating model size, memory usage, training time, and token budget before costly model training. The MIT-licensed tool includes optional native Rust and C benchmark modules.

HoprLab is a CLI and research toolkit for simulating AI training math before spending time and money on model training. The working MVP lives in hoprlab/ /TangibleResearch/HoprLabs/blob/main/hoprlab . It estimates model size, activation memory, optimizer memory, approximate VRAM usage, training time, token budget, config risks, benchmark speed, and reliability. cd hoprlab python3 -m venv .venv .venv/bin/pip install -e ". dev " .venv/bin/hoprlab estimate configs/example transformer.yaml .venv/bin/hoprlab simulate configs/example transformer.yaml .venv/bin/hoprlab benchmark .venv/bin/hoprlab test-reliability configs/example transformer.yaml Or use the root Makefile: make setup make test make build make reliability HoprLab includes optional native benchmark modules: - Rust: hoprlab/native/rust - C: hoprlab/native/c The Python CLI falls back gracefully when native backends are unavailable. MIT