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Iap.dev – Because In-App Purchases Shouldn't Be a Pain in the App

Hacker News

Iap.dev – Because In-App Purchases Shouldn't Be a Pain in the App

Hey HN We're launching iap.dev to take the headache out of in-app purchases on Android. As devs, we've all been there: Spending hours just to get a basic IAP prototype working Cursing edge cases and integrations during development Debugging on real devices with time-consuming release builds Struggling to properly test IAPs and distribute builds to QA Stressing about security and pen-testing scenarios iap.dev says "no more!" to all that nonsense. Our SDK lets you: Get IAP dialogs in your app with minimal setup Develop and debug on any emulator, instantly changing purchase states Distribute debug builds to testers worldwide who can test any scenario Easily test security issues like fake purchases or receipt hacks Integrating iap.dev is as easy as : Drop in our replacement store SDK Initialize with a client key Start raking in that (okay, we can't promise that last part) Sign up at iap.dev if you want to revolutionize your Android IAP experience. And if you've got any hilarious IAP horror stories, we're all !

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
81%81% 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 · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
41%41% predicted probability of success on TrustMRR, 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
38%38% 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 · Missing: plus, platform, intuitive
29%29% 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
23%23% 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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