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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
WITP
Find parking in one second, chosen by AI
WITP draws every real parking stall on your map — blue for paid, white for free, yellow for residents — from open street data, not guesses. Claude then picks the best spot and tells you why. The top tier answers in one second, reasoning on-device.
Hi Product Hunt 👋
I'm Daniele, I'm 18, and I built WITP alone from a small town in
northern Italy.
The idea came from something boring: my dad circling the block for
twenty minutes looking for a spot. Parking apps show you garages.
Nobody tells you about the street parking that's actually there —
the real painted stalls, whether they're free, paid, or reserved
for residents.
So WITP reads real map data and draws every single parking stall on
the map: blue for paid, white for free, yellow for residents. Then
Claude picks the best one for you and tells you why. The top tier
answers in one second and reasons on-device with the Neural Engine.
I'm still in high school, studying computer science. I wrote the app,
the backend, the website. Apple rejected it six times before saying
yes — location permission wording, promo codes, subscriptions that
wouldn't load. I learned more in those six rejections than in a year
of tutorials.
Next up: limited traffic zones (ZTL) drawn on the map, and a
community memory so a street scanned by one user loads instantly for
everyone else.
I'd love to hear what you think — especially if you live somewhere
parking is a nightmare.
About WITP on Product Hunt
“Find parking in one second, chosen by AI”
WITP was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #34 on the daily leaderboard. WITP draws every real parking stall on your map — blue for paid, white for free, yellow for residents — from open street data, not guesses. Claude then picks the best spot and tells you why. The top tier answers in one second, reasoning on-device.
On the analytics side, WITP competes within iOS, Travel and Artificial Intelligence — topics that collectively have 628.8k followers on Product Hunt. The dashboard above tracks how WITP performed against the three products that launched closest to it on the same day.
Who hunted WITP?
WITP was hunted by Daniele Scruzzi. 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 WITP including community comment highlights and product details, visit the product overview.
Daniele Scruzzi