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).
Upload your DEXA scan PDF and get an instant AI-powered body composition dashboard — body fat, lean mass, visceral fat, bone density, and personalised insights. One place to store history of all your Dexa scans. Just email.
My own dexa scan results are in my email with a crapy PDF. I try to measure 2 times a year, but a hassle to find in my inbox. Now I load all the PDFS into Dexavault and I have access to important metrics in clean format. Visible on phone and computer. No more searching for my scan, no I know where to go look at. all in one place.
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About DexaVault on Product Hunt
“YOUR DEXA SCAN RESULTS, DECODED”
DexaVault was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #243 on the daily leaderboard. Upload your DEXA scan PDF and get an instant AI-powered body composition dashboard — body fat, lean mass, visceral fat, bone density, and personalised insights. One place to store history of all your Dexa scans. Just email.
DexaVault was featured in Productivity (649.9k followers) on Product Hunt. Together, these topics include over 127k products, making this a competitive space to launch in.
Who hunted DexaVault?
DexaVault was hunted by Shankar Ramakrishnan. 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 DexaVault stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Shankar Ramakrishnan