MCA140 competitorsClear all
Ditto's top competitors include Bifrost and Comet.ml.
 Ditto Ditto Tech Inc. is a company developing tools for managing and componentizing the words across their product from design to production. |  Comet.ml Comet.ml allows data science teams to track their datasets, code changes, experimentation history, and production models. | ||
Founding Date | Founding Date 2019 | Founding Date 2019 | Founding Date 2017 |
Type | Type Private | Type Private | Type Private |
Tags | |||
Locations | Locations Los Altos, US HQ | Locations Singapore, SG HQ | Locations New York, US HQ New York, US |
Employees | Employees 129% increase | Employees 1936% increase | Employees 828% increase |
Twitter followers | Twitter followers 597 | Twitter followers 100 | Twitter followers 1.6 k |
Number of tweets (last 30 days) | Number of tweets (last 30 days) 11 | Number of tweets (last 30 days) 1 | Number of tweets (last 30 days) 74 |
Average likes per tweet (last 30 days) | Average likes per tweet (last 30 days) 3.8 | Average likes per tweet (last 30 days) 3 | Average likes per tweet (last 30 days) 2.1 |
Percentage of tweets with engagement (last 30 days) | Percentage of tweets with engagement (last 30 days) 100% | Percentage of tweets with engagement (last 30 days) 100% | Percentage of tweets with engagement (last 30 days) 89.19% |
Alexa Website Rank | Alexa Website Rank 445906 | Alexa Website Rank 296053 | Alexa Website Rank 199229 |
Employee Rating | Employee Rating N/A | Employee Rating 5 | Employee Rating 4.2 |
Funding | |||
Latest funding round | Latest funding round $ 1.5m (about 1 year ago) | Latest funding round $ 600k (almost 2 years ago) | Latest funding round $ 13m (about 1 year ago) |
Total funding raised | Total funding raised $ 1.5m | Total funding raised $ 600k | Total funding raised $ 19.8m |
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Bifrost
HQ
Singapore, SG
Employees
19↑ 36% increase
Bifrost is a company providing a synthetic data API for AI developers.
View companyComet.ml
HQ
New York, US
Employees
82↑ 8% increase
Comet.ml allows data science teams to track their datasets, code changes, experimentation history, and production models.
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