Product upvotes vs the next 3

Waiting for data. Loading

Product comments vs the next 3

Waiting for data. Loading

Product upvote speed vs the next 3

Waiting for data. Loading

Product upvotes and comments

Waiting for data. Loading

Product vs the next 3

Loading

Facebook DeepText

Facebook's text understanding engine

About Facebook DeepText on Product Hunt

Facebook's text understanding engine

Facebook DeepText launched on Product Hunt on June 2nd, 2016 and earned 308 upvotes and 19 comments, earning #1 Product of the Day.

On the analytics side, Facebook DeepText competes within Web App, Social Network, Artificial Intelligence and Tech — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how Facebook DeepText performed against the three products that launched closest to it on the same day.

Who hunted Facebook DeepText?

Facebook DeepText was hunted by Ben Tossell. 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.

Reviews

Facebook DeepText has received 36 reviews on Product Hunt with an average rating of 4.00/5. Read all reviews on Product Hunt.

For a complete overview of Facebook DeepText including community comment highlights and product details, visit the product overview.