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Presque
A social memory map for iOS
Pin a photo, voice note or line of text to the exact coordinates and minute it happened. The radar looks for memories inside your radius and window — 50 m, ±30 min by default. No background location. An overlap stays sealed until both people accept.
Top comment
presque — French for almost. You have stood beside strangers at ten thousand ordinary minutes. Row H at the Barbican. A queue at the wrong hour. Presque keeps the record: you drop a memory where it happened, and the radar returns the people whose memories fall inside both your radius and your window, with the distance and the delay written out plainly — 11 m, 9 min. Three limits are the whole product: 1. No background location. The app cannot see where you are when it is closed. It knows a place because you posted a memory there, or because a photograph you imported carried EXIF coordinates. 2. Everything arrives sealed. Memories sit private in the Vault by default, and an overlap is a card with no name and no face until both people accept. 3. You set the margin of error. Scrub a memory to widen or narrow the window you are findable in — an hour, a set, a single song. If somebody was eleven metres and nine minutes away but outside your radius, it lands in a near-miss inbox rather than a push notification. iOS first, through TestFlight, one city at a time. Free tier is three radar scans a month; Pro is $4.99. Built by Presque Labs Inc. in Montréal. If you see a hole in the consent model, I would genuinely rather hear it here than after launch. Join the waitlist at getpresque.com
About Presque on Product Hunt
“A social memory map for iOS”
Presque was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #159 on the daily leaderboard. Pin a photo, voice note or line of text to the exact coordinates and minute it happened. The radar looks for memories inside your radius and window — 50 m, ±30 min by default. No background location. An overlap stays sealed until both people accept.
On the analytics side, Presque competes within iOS, Privacy and Social Networking — topics that collectively have 123.8k followers on Product Hunt. The dashboard above tracks how Presque performed against the three products that launched closest to it on the same day.
Who hunted Presque?
Presque was hunted by Othmane El Mariky. 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 Presque including community comment highlights and product details, visit the product overview.