CheckAnyPlate – Free License Plate to VIN Decoder

Hacker News

This started as a project to scratch my own itch and has grown from there. Initially I wanted a way to easily see if potential funny license plates were available in a given state, but I've also started using it at car shows when I'm curious which engine or transmission is in a car. It most cases the plate can be matched to a VIN using DMV data, and then some information about the vehicle can be decoded into basic car specs You can also purchase a full vehicle history report which uses data from the NMVTIS and other services to show accident history, previous titles, and salvage issues. The site is built using the Laravel framework and connects to a bunch of APIs like the DOT and NHTSA for Safety and recall information. This is my first time running Laravel on AWS Lambda so let me know how the site feels to you

Visit product View on Hacker NewsOct 9, 2023

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

73%73% 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.

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

54%54% 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 HuntOn track for Day 1 leaderboard · Strong signals: using, code, apis · Missing: mac, agents, macos

54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

37%37% 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

31%31% 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

14%14% 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.

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