paywallpro

Top iOS app subscription paywall and onboarding gallery with screenshots, videos, pricing models, patterns, and monetization signals.

257
62
89% credibility
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AI Analysis
AI Summary

Open Paywall Gallery is a free, publicly accessible collection of 500 real iOS app paywalls and onboarding flows, published by PaywallPro. It helps app developers, product managers, and designers study how successful subscription apps present pricing, structure plans, and guide users toward purchase. The dataset includes screenshots, pricing model summaries, paywall pattern classifications, and monetization signals from popular apps like YouTube, Dropbox, and NYTimes. Users can browse by category or paywall pattern to find relevant examples for their own app design decisions.

How It Works

1
💡 You discover a problem

You're building a subscription app and struggling to figure out how to present pricing to users without losing them.

2
🔍 You find the gallery

You stumble upon a free collection of 500 real iOS app paywalls and onboarding flows that you can browse without signing up.

3
📱 You explore real examples

You browse through popular apps like YouTube, Dropbox, and NYTimes to see exactly how they structure their subscription offers and free trials.

4
You focus your research
📂
Browse by category

Jump straight to apps in your specific category like Music, Fitness, or Education.

📊
Browse by pattern

Explore how apps use free trials, soft paywalls, or credit systems to convert users.

5
📝 You take notes

You review pricing models, benefit presentations, and how each app frames monthly versus annual plans.

6
🚀 You apply what you learned

You design your own paywall using patterns you've studied, confident that real apps are using similar approaches.

🎉 You launch with confidence

Your subscription app launches with a paywall that guides users smoothly toward becoming paying customers.

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AI-Generated Review

What is paywall-gallery?

This is a curated reference library of 500 top iOS subscription app paywalls and onboarding flows. It solves the problem of developers making paywall and pricing decisions based on guesswork instead of real-world examples. The data is published as machine-readable Markdown files with structured frontmatter containing app metadata, pricing models, paywall patterns, and monetization signals like MRR estimates.

Why is it gaining traction?

The hook is simple: subscription apps are exploding, but most teams still design paywalls blind. This gives you actual examples from YouTube, NYT, Bumble, and 497 other apps to study before you build. The weekly update cadence keeps it fresh, and the categorization by paywall pattern and app category makes it actually usable for research. The data format is clean enough to parse programmatically if you want to build tooling on top of it.

Who should use this?

Indie developers launching subscription apps who need pricing benchmarks. Product managers benchmarking competitor paywall strategies. Growth teams looking for A/B test ideas. Designers building subscription UX who want reference layouts. Anyone tired of reinventing paywall patterns from scratch.

Verdict

At 257 stars, this is a young project with limited community validation. The credibility score of 0.9% reflects its early stage. The dataset itself is genuinely useful as a free reference, though the monetization signals are estimates and the full power of the data lives behind PaywallPro's paid product. Worth bookmarking and checking back weekly if you're building subscription apps, but don't mistake the free tier for a complete solution.

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