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Deepnote

Deepnote

Deepnote is a company that has created an online platform for data scientists. It was founded in 2019 and is located in San Francisco, California.

OverviewStructured DataIssuesContributors

Contents

deepnote.com
Is a
Organization
Organization
Company
Company

Company attributes

Industry
Technology
Technology
‌
Developer collaboration
‌
AI coding assistant
Software
Software
Cloud computing
Cloud computing
Big data
Big data
Artificial Intelligence (AI)
Artificial Intelligence (AI)
‌
Developer Tools
...
Location
Prague
Prague
United States
United States
San Francisco
San Francisco
B2X
B2B
B2B
CEO
Jakub Jurových
Jakub Jurových
Founder
Jakub Jurových
Jakub Jurových
0
AngelList URL
angel.co/deepnote
Pitchbook URL
pitchbook.com/profiles...431296-03
Accelerator
Y Combinator
Y Combinator
0
Accelerator Batch
‌
Y Combinator S19 Batch
0
Number of Employees (Ranges)
11 – 50
Email Address
work@deepnote.com
Full Address
San Francisco , US
Investors
Dig Ventures
Dig Ventures
0
Index Ventures
Index Ventures
Y Combinator
Y Combinator
0
Naval Ravikant
Naval Ravikant
Elad Gil
Elad Gil
Credo Ventures
Credo Ventures
Lachy Groom
Lachy Groom
Greg Brockman
Greg Brockman
0
...
Founded Date
2019
0
Total Funding Amount (USD)
43,930,000
Latest Funding Round Date
January 31, 2022
Competitors
Symbl.ai
Symbl.ai
Latest Funding Type
Series A
Series A
Wellfound ID
deepnote
Hugging Face ID
deepnote
Country
United States
United States
Headquarters
San Francisco
San Francisco

Other attributes

Blog
deepnote.com/blog
Company Operating Status
Active
Latest Funding Round Amount (USD)
20,000,000
Public/Private
Private
Wikidata ID
Q98221366
Y Combinator URL
ycombinator.com/compani...deepnote0

Deepnote is a technology company that is developing an online data science notebook. The technology is compatible with Jupyter and can be used in real time.

Product

The platform can be used in a web browser and allows for users to launch and explore data science projects. All of the projects on the platform are stored in an ipynb file. It is intended to be used as a sharing platform so data scientists can collaborate with each other. The collaborations can happen in real time with both discussions and debugging possible. There is also a versioning feature that allows for users to track the changes made to their notebook. Users can ask for their peers to review their code and view comments made by their peers regarding the code.

Other features on the platform include a scheduling option and the ability to upload and sync files. Users can utilize a variable feature, allowing for them to see patterns in their code. Deepnote also offers an autocomplete feature in order to aid in expediting the writing of code.

Timeline

No Timeline data yet.

Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

Further Resources

Title
Author
Link
Type
Date

Pricing - Deepnote docs

https://docs.deepnote.com/resources/pricing

Web

References

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