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.
“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.
AEX was featured in Marketing (463k followers), Advertising (29.6k followers) and Artificial Intelligence (466.8k followers) on Product Hunt. Together, these topics include over 163.2k products, making this a competitive space to launch in.
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.
Want to see how AEX stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Francesco Ambrosiano