Use NLP and machine learning to discover Facebook interests
We were tired of tools that can only show Facebook hidden interests in a random fashion, only surfacing interests without distinctions. Any developer can do an API call! We use Machine Learning and NLP to find coherent interests an multiple layer of search.
About AEX on Product Hunt
“Use NLP and machine learning to discover Facebook interests”
AEX launched on Product Hunt on February 23rd, 2022 and earned 23 upvotes and 21 comments, placing #44 on the daily leaderboard. We were tired of tools that can only show Facebook hidden interests in a random fashion, only surfacing interests without distinctions. Any developer can do an API call! We use Machine Learning and NLP to find coherent interests an multiple layer of search.
On the analytics side, AEX competes within Marketing, Advertising and Artificial Intelligence — topics that collectively have 959.3k followers on Product Hunt. The dashboard above tracks how AEX performed against the three products that launched closest to it on the same day.
Who hunted AEX?
AEX was hunted by Francesco Ambrosiano. 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 AEX including community comment highlights and product details, visit the product overview.
Francesco Ambrosiano