Farhani Wajdi
This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Product comments vs the next 3
Product upvote speed vs the next 3
Product upvotes and comments
Product vs the next 3
Bubbles
Autonomous data segmentation tool build for data scientists
The singularity of this tool is that you can fellow dynamically the clustering algorithm creating groups based on MCMC iterations on your dataset. Data scientists can test this app and contribute to the platform development and its improvements.
About Bubbles on Product Hunt
“Autonomous data segmentation tool build for data scientists”
Bubbles was submitted on Product Hunt and earned 9 upvotes and 1 comments, placing #64 on the daily leaderboard. The singularity of this tool is that you can fellow dynamically the clustering algorithm creating groups based on MCMC iterations on your dataset. Data scientists can test this app and contribute to the platform development and its improvements.
Who hunted Bubbles?
Bubbles was hunted by Farhani Wajdi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Bubbles including community comment highlights and product details, visit the product overview.