DMV Filter – Find California DMV appointments and create alerts

Hacker News

Hey HN! My name is Eliot, I'm a student and developer from the Bay Area. DMV Filter is a better interface for the California DMV's appointment finder that also alerts you when new appointments are available. What: First and foremost, DMV Filter is a filtering tool. You can see ALL appointments near you at once, filter by distance and time, and see availability visualized on a map. If you can't find anything that fits your needs, DMV Filter Pro allows you to create alerts for appointments so you can find something sooner and closer. Why: I'm currently in the process of getting a California Driver's License, and the main pain point has been the DMV. Their website is awful, it's difficult to see what appointments are available where and when, and spots tend to fill up weeks in advance. I know there are websites that offer flight notifications and filtering (like seats.aero) but couldn't find anything for the DMV, so I decided to build one. How: We get data from the DMV API every 15 minutes and then notify users of appointments that fit their alert criteria. These appointments show up more often than you'd expect! The DMV only lets you make one appointment at a time, so people have to cancel their old appointment to make a new one. I can't think of anything as universally disliked as the DMV, so I hope this tool can make it a bit more pleasant going forward! I'll be around here to answer any questions throughout the day, or through the contact info in my bio. Thanks! Homepage: https://dmvfilter.com About: https://dmvfilter.com/about

Visit product View on Hacker NewsAug 29, 2024

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

59%59% 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.

TrustMRRFits verified-revenue profile · Strong signals: visualize, users · Missing: mobile apps, ios, personal

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

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

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, new, visual · Missing: mac, agents, macos

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

12%12% 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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