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Playstore ready PWA app in one click - PWA2APK

Hacker News

Playstore ready PWA app in one click - PWA2APK

Last week we saw a post on HN, mentioning Google Playstore now accepts PWA apps. We thought this could be automated, so non-devs can easily create and upload APK’s of their PWAs. Hence we decided to make a simple tool to ease up the process. Thus PWA2APK https://appmaker.xyz/pwa-to-apk/ was born. It converts Progressive Web Apps (PWAs) to Playstore ready APKs. This was build on top of TWA (Trusted Web Activities), which is available in Chrome version 72 and above. A few days before we shared it on Twitter and got tons of feedback. Many even used PWA2APK to upload their PWA’s to Playstore. After getting feedback, we included source code and certificate, than just the APK file. And finally launching here to get feedback and suggestions for the tool, that we build over the weekend.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% 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 · Strong signals: google, apps, code · Missing: mac, agents, macos
69%69% predicted probability of success on Product Hunt, 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
45%45% 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
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, google · Missing: mobile apps, ios, personal
41%41% 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
16%16% 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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