Moonglow

About Moonglow

Moonglow provides a no-code platform that enables machine learning researchers and data scientists to create browser agents for automating repetitive workflows, such as connecting local Jupyter notebooks to remote cloud compute. This solution streamlines data processing tasks, enhancing productivity and reducing manual effort in research environments.

<problem> Machine learning researchers and data scientists often face repetitive workflows when connecting local Jupyter notebooks to remote cloud compute resources. These manual processes consume valuable time and hinder productivity, diverting focus from core research activities. </problem> <solution> Moonglow offers a no-code platform that empowers machine learning researchers and data scientists to create browser agents, automating repetitive workflows. By streamlining the connection between local Jupyter notebooks and remote cloud compute, Moonglow eliminates manual effort and enhances productivity. The platform enables users to record workflows once and automate them indefinitely, freeing up time for more strategic tasks. </solution> <features> - No-code interface for creating browser agents - Automation of repetitive workflows - Seamless connection between local Jupyter notebooks and remote cloud compute - Record-once, automate-forever functionality </features> <target_audience> The primary users are machine learning researchers and data scientists seeking to automate repetitive tasks and improve productivity in their workflows. </target_audience>

What does Moonglow do?

Moonglow provides a no-code platform that enables machine learning researchers and data scientists to create browser agents for automating repetitive workflows, such as connecting local Jupyter notebooks to remote cloud compute. This solution streamlines data processing tasks, enhancing productivity and reducing manual effort in research environments.

Where is Moonglow located?

Moonglow is based in San Francisco, United States.

When was Moonglow founded?

Moonglow was founded in 2024.

How much funding has Moonglow raised?

Moonglow has raised 500000.

Who founded Moonglow?

Moonglow was founded by Trevor Chow.

  • Trevor Chow - Co-founder
Location
San Francisco, United States
Founded
2024
Funding
500000
Employees
2 employees
Major Investors
Y Combinator
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Moonglow

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Moonglow provides a no-code platform that enables machine learning researchers and data scientists to create browser agents for automating repetitive workflows, such as connecting local Jupyter notebooks to remote cloud compute. This solution streamlines data processing tasks, enhancing productivity and reducing manual effort in research environments.

moonglow.ai700+
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Crunchbase
Founded 2024 – San Francisco, United States

Funding

$

Estimated Funding

$500K+

Major Investors

Y Combinator

Team (<5)

Trevor Chow

Co-founder

Company Description

Problem

Machine learning researchers and data scientists often face repetitive workflows when connecting local Jupyter notebooks to remote cloud compute resources. These manual processes consume valuable time and hinder productivity, diverting focus from core research activities.

Solution

Moonglow offers a no-code platform that empowers machine learning researchers and data scientists to create browser agents, automating repetitive workflows. By streamlining the connection between local Jupyter notebooks and remote cloud compute, Moonglow eliminates manual effort and enhances productivity. The platform enables users to record workflows once and automate them indefinitely, freeing up time for more strategic tasks.

Features

No-code interface for creating browser agents

Automation of repetitive workflows

Seamless connection between local Jupyter notebooks and remote cloud compute

Record-once, automate-forever functionality

Target Audience

The primary users are machine learning researchers and data scientists seeking to automate repetitive tasks and improve productivity in their workflows.