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Explore App Store data to analyze competitors, spot trends, and discover high-potential app ideas. Make smarter decisions with real insights instead of guessing.
Hey Product Hunt 👋
I built App Store Statistics to solve a problem I personally had:
coming up with app ideas without just guessing.
Most tools are either too complex or don’t really help with idea validation. I wanted something simple where you can explore trends, analyze competitors, and quickly see what might be worth building.
What surprised me most while building this was how early trends become visible if you look at the right data.
I’d love to hear:
👉 What features would make this a must-have for you?
👉 How do you currently validate app ideas?
Thanks for checking it out 🙌
AppStoreStatistics was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #149 on the daily leaderboard. Explore App Store data to analyze competitors, spot trends, and discover high-potential app ideas. Make smarter decisions with real insights instead of guessing.
AppStoreStatistics was featured in Analytics (171.5k followers), Developer Tools (511.1k followers) and Tech (621.7k followers) on Product Hunt. Together, these topics include over 241.4k products, making this a competitive space to launch in.
Who hunted AppStoreStatistics?
AppStoreStatistics was hunted by Tobias Krenn. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how AppStoreStatistics stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Tobias Krenn