I work from home and I started going to different coffee shops to work and be around people, but I quickly realized that there are a lot of cafes that don't have plugs, good wifi or good coffee so it was always a toss-up. As a result I ended up building a tool where people can get better information about cafes before going there. Then I added a new feature where people can check-in and tell others that they are there and how busy it is and that became brefinder.io.
This is the first product I build, and I am hoping to release it as a mobile app soon but would love any feedback any of you have for me. I also have some good social feature updates coming soon and will have more info on cafes available!!!
how would the cofee shops rank them self if it is also a SEO Based ranking this can be rigged very easily in a matter of hours and days that will make it unfair or either you have to let shop owners run sponsered ads in order to get heigher ranking and you can make some money out of it
The wifi-and-plug data is genuinely the gap nobody fills — Google Maps reviews are useless for "can I actually get four hours done here." Cold-start is the part I'd worry about though. In a city where Brew Finder is new, how do the first few real-time signals get bootstrapped before there's enough check-in volume to be trusted? And does stale data decay fast — if someone checked in three hours ago saying it was empty, does that still show up at peak hour?
Tried it out but keep hitting the ‘Location information is unavailable’ message even with access turned on.
As a dev, curious if this is built on Google Maps API with restaurant/cafe tags or using a different architecture.
finding good spots to work is always harder than it should be
but feels like the tricky part here is keeping the data actually up to date in real time
if that works well, this becomes super useful
Genuinely useful.
Got all the signals that matter when I think "can I actually work
here"?
Wifi reliability
Plug count
Noise level
These are never on Google reviews!
If you are crowdsourcing those three, that is the moat!
Love this idea. How oriented is this to customer experience versus coffee quality?
As a person who works from home, I'd love this to become a bit more social :D
Does it work for places outside of massive urban centers, and for balkan countries?
Congrats on your launch! Real-time crowd levels and WiFi quality in one place is something that is super necessary to know when picking the right coffee shop to do your work at. As someone who works half remote and basically lives out of coffee shops, the amount of times I've shown up somewhere packed with no outlets is too many to count. The check-in feature is a great touch for keeping the data actually accurate. Are there any plans to let users filter by noise level, or vibe, like quiet vs. lively spots?
About Brew Finder on Product Hunt
“Discover the best coffee shops to work at around you”
Brew Finder launched on Product Hunt on April 27th, 2026 and earned 144 upvotes and 27 comments, placing #7 on the daily leaderboard. Discover the best coffee shops around you. Check real-time crowd levels, seat availability, WiFi quality, and power availability.
Brew Finder was featured in Social Network (50.3k followers), Coffee (28.3k followers) and Maps (12.8k followers) on Product Hunt. Together, these topics include over 8.6k products, making this a competitive space to launch in.
Who hunted Brew Finder?
Brew Finder was hunted by Fadi Zaki. 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 Brew Finder stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Fadi Zaki
I work from home and I started going to different coffee shops to work and be around people, but I quickly realized that there are a lot of cafes that don't have plugs, good wifi or good coffee so it was always a toss-up. As a result I ended up building a tool where people can get better information about cafes before going there. Then I added a new feature where people can check-in and tell others that they are there and how busy it is and that became brefinder.io.
This is the first product I build, and I am hoping to release it as a mobile app soon but would love any feedback any of you have for me. I also have some good social feature updates coming soon and will have more info on cafes available!!!