Weights & Biases
AI and ML development platform for experiment tracking, evaluation, and model operations.
As of , AIIStack tracks Weights & Biases's Innovation score at 66.43/100, down 5.71 points.
- Headquarters
- Not disclosed
- Founded
- Founded year not disclosed
- Official website
- wandb.ai
Cohort-normalized indicators
Company scorecard
- Popularity score
- 60.71/100
- Change
- 0 pts
- Interpretation
- Current cohort score
- Momentum score
- 49.29/100
- Change
- 5.71 pts
- Interpretation
- Current cohort score
- Innovation score
- 66.43/100
- Change
- 5.71 pts
- Interpretation
- Current cohort score
Activity timeline
Material changes
Release Notes - Weights & Biases Documentation changed
Pricing page changed: Free · $0/mo · Pro · $60/month
Release Notes - Weights & Biases Documentation changed
Discussion intelligence
Recent Hacker News mentions
The new rules of context engineering for Claude 5 generation models
Yes, it IS confident of its weights & biases... but, if you keep at it, Claude WILL find the smoking gun, eventually. Even a broken watch is correct twice a day ( unless it's a digital watch, without a battery, in which case, it's just broken... ) But seriously -- newer Claude (and OpenAI and Google and ???) models DO find the smoking gun, if you let them keep going until they reveal the weird chain of events that leads to a bug. I was seeing the most obscure UART driver bug, where it would work at 1,500,000 baud (!) but fail by only outputting the 1st char at 230.4k and 460.8k -- and it was due to a very narrow race that would check the buffer, if not full, insert a character, and return BUT sometimes the TX Complete interrupt would happen between the check and the insert, and something …
Inspect discussionPublic discussion records are evidence of conversation, not a sentiment or product-quality verdict.