I made an indie app store alternative with a twist

Hacker News

The twist is that although it does (part of) the job of an app store, it's not (nor aims to be) an app store. It's a script you add to your existing web app that makes it "self-distributing". Check it out: https://progressier.com. Under the hood, it leverages the concept of "PWA", but it goes further: 1. It creates an installation page for your app that looks like an app store listing. Demo example: https://install.page/covid 2. It handles every OS/browser combination to create an installation flow that works everywhere (e.g. on Safari/iOS, with in-app browsers, etc) 3. It lets you manage all the technical aspects of your PWA in a dashboard rather than in code (i.e. service worker, app manifest, caching strategies, icons, etc). You can even send push notifications and design app screenshots from Progressier. Caveats: - It only works for web apps - It's not free! - An app store is supposed to handle "logistics" and "promotion". Progressier only does the former. It won't get you new users. - Push notifications are not yet available on iOS Some fun facts: - There are 5,000+ apps using Progressier - 50%+ of my customers are users of no-code platforms, particularly Bubble. - Under the hood, Softr's PWA Builder (https://www.softr.io/pwa-builder) actually uses a white-labeled version of Progressier I provide them - Progressier is built entirely by me (https://kevin.tw). For the record, the whole thing is just vanilla CSS/JS — no frameworks.

Visit product View on Hacker NewsSep 2, 2022

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6points

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

87%87% 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: apps, user, new · Missing: mac, agents, macos

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

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

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

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

42%42% 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

20%20% 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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