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).
PointMe does one thing: point you to the nearest liquor store. Just open the app and follow the compass. Inspired by a YouTube video from Uvos Lab, this started as a fun weekend idea and turned into a couple months of experimenting with maps, apis, and AI coding tools. Hope you enjoy it!
Hey Product Hunt! 👋
This is my first launch here. This started as a fun project I thought would take a weekend, it ended up taking a couple of months as I learned iOS development and experimented with different APIs and AI coding tools. The app has now reached 5,000+ downloads, which has been awesome to see.
A few things I learned:
* Building a reliable compass is surprisingly tricky, and most LLMs struggled with it
* Google Maps' Places API was too expensive for this use case ($30/1000 requests), so I switched to Mapbox, which was about 100× cheaper
* Cursor consistently outperformed Copilot on larger, multi-file changes
* Having the model generate a markdown file mapping the execution flow made debugging much easier
Thanks for checking it out! I'd love to hear any feedback or ideas. For other app developers, what's worked best for you when growing and marketing your apps? 🍻
The compass-only approach is genuinely clever, no clutter, no extra taps, just point and walk. Love that it started as a weekend experiment and turned into something actually polished enough to launch.
Opened it on a whim and the compass nailed the nearest spot two blocks over in seconds. Simple, no fluff, and honestly a little funny that it does exactly one thing so well.
Compass worked instantly when I opened the app and led me to a spot two blocks away I never knew existed. Refreshingly simple.
Love the simplicity of just opening it and following the compass. One thing that would make it even better is showing whether the nearest store is currently open, since late-night runs are usually when you need it most.
Would be great if the app could filter for stores that are actually open right now, like showing hours and filtering out the ones that closed early. Saves me from walking somewhere only to find the door locked.
The compass-only approach is such a clean idea, no menus no clutter just point and walk. Love that you kept it laser-focused on one job and actually shipped it.
Honestly impressed with how clean the compass-only UX is, no clutter, just tap and walk. Great execution on turning a simple idea into something genuinely useful.
About Point Me on Product Hunt
“Compass that Points to the Nearest Liquor Store”
Point Me was submitted on Product Hunt and earned 14 upvotes and 13 comments, placing #27 on the daily leaderboard. PointMe does one thing: point you to the nearest liquor store. Just open the app and follow the compass. Inspired by a YouTube video from Uvos Lab, this started as a fun weekend idea and turned into a couple months of experimenting with maps, apis, and AI coding tools. Hope you enjoy it!
Point Me was featured in iOS (110.5k followers), API (98.4k followers) and Vibe coding (570 followers) on Product Hunt. Together, these topics include over 49.6k products, making this a competitive space to launch in.
Who hunted Point Me?
Point Me was hunted by Olivier Pham. 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 Point Me stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Olivier Pham