Last week, we open-sourced part of PaywallPro’s subscription intelligence database as a public GitHub repo:
Open Paywall Gallery
https://github.com/paywallpro/paywall-gallery
It started with 500 curated iOS subscription app paywall and onboarding examples.
This week, we shipped the first weekly update.
The dataset now covers 550 iOS subscription apps.
What’s new?
We added 50 new apps across multiple categories, including:
- Photo & Video
- Education
- Utilities
- Productivity
- Social Networking
- Health & Fitness
- Sports
Some newly added apps include:
- Photo Lab
- Airbrush
- PixVerse
- OpusClip
- CamScanner
- Fantastical
- Brilliant
- codeSpark
- Fender Play
- Truecaller
- Foodvisor
- SmartGym
- Chordify
What is Open Paywall Gallery?
Open Paywall Gallery is a free public dataset for studying real iOS subscription paywalls.
Each app entry is organized as a Markdown file and may include:
- Paywall screenshots
- Onboarding previews
- Pricing models
- Paywall pattern labels
- Selected monetization signals
- Links to the full PaywallPro page
The goal is to make paywall research easier for indie developers, iOS developers, product teams, growth teams, and UX designers.
Why this matters
Designing a subscription paywall is not just a UI problem.
You need to think about:
- Free trials
- Monthly vs annual plans
- Default selected plans
- Discount framing
- Onboarding before the paywall
- Pricing structure
- User intent by category
Looking at one competitor is usually not enough.
A larger dataset helps teams identify patterns across categories and turn observations into better A/B test hypotheses.
How developers can use it
Because the data is stored in Markdown, developers can use it as a semi-structured dataset.
You can parse the files, group apps by category, analyze paywall patterns, export the data to CSV, or build your own internal research table.
For example, you could use it to answer questions like:
- Which categories use free trials most often?
- How common are annual plans?
- Which apps show onboarding before the paywall?
- What paywall patterns are common in AI, fitness, or education apps?
What’s next?
We plan to keep adding 50 new apps every week.
We are also considering additional formats such as JSON, CSV, and more structured indexes if the community finds them useful.
GitHub repo:
https://github.com/paywallpro/paywall-gallery
If you find it useful, feel free to star the repo or open an issue with apps you want us to add next.
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