Dog API

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Dog API

Hello there, happy holidays. I've been maintaining for 6 years this Dog API that only returned facts. I recently rewrote the project to make it more flexible [1] and I had a blast doing so. This API has been used by a lot of computer science students, as well as bots and other 3rd party services that integrated in the past. The old endpoint receives around 1,000-1,500 requests per day, which makes me happy. The goal is to extend it to make it more interesting and usable, I collect dog data in my spare time. I'm not looking to monetize it, it's just for the love of education. Feel free to use it, and share it! [1]: https://github.com/kinduff/dogapi.dog

Visit product View on Hacker NewsDec 27, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: computer · Missing: mac, agents, macos

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: 000, io · Missing: https docs, excited, just released

70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: education · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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