My

My 'pet' project, a Tinder-esque experience for rescuing dogs and cats

Hacker News

My 'pet' project, a Tinder-esque experience for rescuing dogs and cats

I have a rescue dog - a 6 year old German Shepherd mix. When we rescued him I couldn't believe how many animals there were at all the shelters and animal control centers, and how hard it was to find out about them. I built a simple site ( https://rescueapet.benswork.space ) which connects you with available dogs and cats in your area :-) It uses data from local shelters and pulls it all into one place, so you can make a shortlist of animals, then reach out to the shelter to adopt. I was honestly surprised that something like this didn't already exist. Let me know what you think!

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Actual performance

6points
4comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist · Missing: https docs, excited, just released
68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
63%63% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
42%42% predicted probability of success on TrustMRR, 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.

Incorrect prediction on native model

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