01
Find the problem worth solving
Follow recurring complaints to a focused product opportunity. Open the reviews behind every idea.
Collect reviews
Find your next idea
Discover product opportunities in App Store reviews. Keep the evidence beside every idea.
iOS & macOSStorefrontsCSV · JSON · Markdown
Apple App Store
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Choose an app. Find the gap.
Browse categories above or paste an App Store link. We will collect the original reviews and keep them updated.
02
See where the product falls short
Compare review signals across capabilities, versions and competing apps. Keep sample sizes visible.
Collect reviews
03
Take the evidence into your next step
Turn an opportunity into an MVP experiment. Copy the research as Markdown to continue in Claude or ChatGPT.
Collect reviews
From reviews to a product experiment
Choose apps and storefronts
Collect and compare written reviews
Find opportunities and test an MVP
Research with the source in view
Written reviews are a self-selected sample. They do not describe every customer or reveal revenue, purchases or market size. AI ideas are hypotheses to validate.
Enable automatic updates to follow new reviews and emerging needs.
A few things to know
Can I get all historical reviews?
Public feeds expose a limited recent window. We preserve reviews after collection and build history over time. Busy apps can outgrow the window between polls.
When does AI run?
Start AI research when you want to explore product ideas. With automatic updates enabled, new reviews can also bring fresh insights to your research.
Can I compare competing apps?
Yes. Batch apps creates one project with multiple apps. Compare matching storefront, rating and date filters, and review the sample sizes.