mlop YC Application

Spring 2025Active

mlop went through Y Combinator in the Spring 2025 batch as a B2B company. Below: what the company does, who founded it, and its application to YC, reconstructed question by question in the real YC form.

YC batch: Spring 2025
Industry: B2B
Team size: 2
Status: Active
Launched: 2025

Founders

Stephen SunFounder

What mlop does

A fully open-source, performant and actionable Weights & Biases alternative that saves you money. Check out our story here!

mlop's YC application, reconstructed

Y Combinator application

mlop, Spring 2025 batch. The real form questions, answered from public data.

Founders2
Company7
Progress7
Idea4
Equity3
Curious2
Batch Preference1

Company

Company name

mlop

Describe what your company does in 50 characters or less.

Experiment tracking for training ML models

What is your company going to make? Please describe your product and what it does or will do.

We are building a fully open-source experiment tracking tool for machine learning training workflows, tailored for ML practitioners and teams. Our product is an alternative to Weights & Biases with a focus on performance and cost efficiency, helping users track, manage, and analyze ML model training experiments without vendor lock-in or high cloud costs.

Where do you live now, and where would the company be based after YC?

We currently live in London, United Kingdom and plan to base the company here after YC as well.

Explain your decision regarding location.

London is where we are based and it has a strong ML and developer community. It's our home and gives us access to the talent and customers we are targeting.

21 more answers in the full application

Founders, Progress, Idea, Equity, Curious, Batch Preference are in the full version. Create a free account to open it in YC Insights, next to every other YC batch.

See full application

Frequently Asked Questions

Is this the real mlop YC application?

No. Y Combinator keeps submitted applications private. This is a reconstruction: the real YC form questions, answered from mlop's public data (launch notes, founder backgrounds, product description). It shows how a company like mlop would present itself to YC, not the text they submitted.