Launched this week
Brew Finder
Discover the best coffee shops to work at around you
172 followers
Discover the best coffee shops to work at around you
172 followers
Discover the best coffee shops around you. Check real-time crowd levels, seat availability, WiFi quality, and power availability.
Brew Finder
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!!!
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?
@aya_vlasoff The social layer could be a strong differentiator. Seeing that someone is currently there makes the into feel more reliable.
@aya_vlasoff @deangelo_hinkle A mobile app makes sense here 🙂 this feels like something people would check on the go rather than on desktop
@aya_vlasoff @deangelo_hinkle @henry_lindsey I wonder how you handle smaller cities where there are fewer users. That could affect how useful the app feels early on.a
@aya_vlasoff @deangelo_hinkle @henry_lindsey This has potential to become a daily utility if the data stays accurate and quick to access 👍
Brew Finder
@aya_vlasoff - Yes I am planning on adding better filtering in the near future
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?
Brew Finder
@kastelicjakob - I use the google apis so if google has it and its a coffee shop it'll be on here.
Love this idea. How oriented is this to customer experience versus coffee quality?
Brew Finder
@jacinto_salz - I definitely have to say it is more oriented to customer experience over coffee quality at the moment.
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
Brew Finder
@munevver_ertuncccc - Yes that is something I have been staggering my mind with but then I realized that the people who will want to keep the cafe information up to date are the same people who will want people at their cafes SO I wrote code that emails the different cafes to fill out their cafe profiles and manage it!
@fadi001 That’s actually a smart way to think about it, aligning incentives makes a lot of sense.
Feels like the challenge then shifts to getting enough cafes on board early on.
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?
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!
Brew Finder
@naumaan_zahid - thank you!