nice! trail reads like a proper answer to "where did i read that thing last tuesday". curious what the graph surfaces that flat search doesn't. is it mostly adjacency (pages you hopped to right after a given page), topic clustering, or something else? the interesting design call with browsing history is always which axis you privilege, and most tools default to chronological + search, which is basically just a longer search box.
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About Trail - visualize your browsing history on Product Hunt
“turn your browsing into a private and local knowledge graph ”
Trail - visualize your browsing history launched on Product Hunt on April 22nd, 2026 and earned 79 upvotes and 4 comments, placing #21 on the daily leaderboard. Everything you browse, read, and watch on your Mac, visualized — No clicking "save," no sign-ups, no browser extensions.
Trail - visualize your browsing history was featured in Mac (103.5k followers) and Productivity (650.7k followers) on Product Hunt. Together, these topics include over 137.8k products, making this a competitive space to launch in.
Who hunted Trail - visualize your browsing history?
Trail - visualize your browsing history was hunted by AKA KRISH. 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 Trail - visualize your browsing history stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
AKA KRISH
nice! trail reads like a proper answer to "where did i read that thing last tuesday". curious what the graph surfaces that flat search doesn't. is it mostly adjacency (pages you hopped to right after a given page), topic clustering, or something else? the interesting design call with browsing history is always which axis you privilege, and most tools default to chronological + search, which is basically just a longer search box.