Dog-e-dex lets you upload or take pictures of good pups you see and save them into your personal collection. Add each dog's name and a note when you save them, and try to collect all the dog breeds!
Find, snap, and collect dogs you encounter!
Dog-e-dex lets you upload or take pictures of good pups you see and save them into your personal collection. Add each dog's name and a note when you save them, and try to collect all the dog breeds!
Hello!! I'm a product designer based in the Bay Area who has always loved dogs. However, I have two angry cats so I must love dogs from afar. I've had the idea for Dog-e-dex for years, but never knew how to bring it to life since I don't have technical chops. I looked into hiring engineers, but wasn't sure how to, until AI came on the scene. Dog-e-dex is built purely by prompting using Anthropic's Claude. I have learned a lot through this process (I had no idea what a backend really was until no
Cynthia this is great! You’re an inspiration..no coding knowledge, into an adorable app that is FREE, and No Data Collected! 👏🏼 A lot of these devs could learn a thing or two from you. I look forward to seeing what this project becomes! 🐕🦺 ⬅️ Walter🪦 (2011—2022) lives on in my Dog-e-Dex. 🥹
Love the honesty and energy here! Curious—what’s been the hardest part of maintaining the app post-launch, now that you’ve built it without a traditional tech background?
As a dog sitter, this would be amazing. Too bad it’s iOS only and it requires iOS 17 or higher, so I can’t use it on any device.
Congrats @cynthiachen . This will be so much fun to fill up with my 5yo daughter! Playful apps like this are great for the whole family 🐾 ❤️.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.