I'm 17 and built a startup to find or sell parking spots

Hacker News

Hey HN! I'm Dris, I'm 17, and for the past few months, I've been solo-developing Parkt, an app that lets you quickly reserve or sell parking spots. Parking sucks - it's expensive, hard to find, and you usually overpay or get a ticket. With Parkt, you can reserve parking in 2 taps, or list your unused space in under 5 minutes. It's now free to download on iOS (with Android coming soon)! You can also check out a demo on the site if you're interested. If you know someone who might use Parkt, sharing the app would be super helpful! Feedback is also appreciated.

Visit product View on Hacker NewsAug 31, 2024

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

69%69% 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.

TrustMRRFits verified-revenue profile · Strong signals: ios, month · Missing: mobile apps, personal, entrepreneurs

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

33%33% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

28%28% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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