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).
S/S 27/28 and A/W 27/28 color forecast powered by predictive intelligence. Pantone TPX matching, seasonal trend forecasting, runway analysis from 50,000+ catwalk looks, and mood board generation. The fashion color forecasting tool for designers and brands — covering denim, activewear, swimwear, ethnic wear, and 14 garment categories.
No comment highlights available yet. Please check back later!
About F-Trend on Product Hunt
“Fashion intelligence”
F-Trend was submitted on Product Hunt and earned 0 upvotes and 0 comments, placing #109 on the daily leaderboard. S/S 27/28 and A/W 27/28 color forecast powered by predictive intelligence. Pantone TPX matching, seasonal trend forecasting, runway analysis from 50,000+ catwalk looks, and mood board generation. The fashion color forecasting tool for designers and brands — covering denim, activewear, swimwear, ethnic wear, and 14 garment categories.
F-Trend was featured in Design Tools (261.2k followers) and Fashion (14.5k followers) on Product Hunt. Together, these topics include over 45.7k products, making this a competitive space to launch in.
Who hunted F-Trend?
F-Trend was hunted by Dhruv Tripathi. 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 F-Trend stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Dhruv Tripathi