A storefront fact
A rank, rating, version, review or public creative is shown with its store, country and observation date.
About AppDasper
Research your market with evidence, not guesswork.
AppDasper is app market intelligence for indie developers and small teams. We put the App Store and Google Play into one workspace — rankings, modeled download and revenue signals, review analysis and ASO — so you can validate an idea in minutes instead of weeks, with every answer sourced. It's your judgment, on better data.
- typical estimate error, top-500 apps
- ±4%
- sub-categories, both stores
- 214
- country storefronts
- 74
- shown with every modeled market figure
- Confidence
The data contract
Know what kind of claim you are reading.
The interface separates public facts, modeled values and derived analysis before any of them become a recommendation.
A directional market value
Download and revenue values are identified as modeled and keep confidence, freshness and market context beside the number.
A pattern from a source set
Review themes and written explanations retain the sample size and evidence records used to produce the conclusion.
How we work
A research product should show its working.
Evidence over guesswork
We don't sell magic ideas. AppDasper is a research workspace: you decide what to build, and the radar keeps the evidence current. Every figure traces back to public storefront data and a stated model.
Honest numbers, always
Downloads and revenue are modeled rather than store-reported. We show one readable reference value with confidence and observation context; when the model is less certain, the interface says so.
Sources you can check
The AI analyst only sees structured data from the dataset, cites its sources, and is allowed to answer “I don't have that data.” You can verify every claim yourself.
Calibrated in public
We measure our accuracy weekly against calibrated apps and publish the errors as we improve. Getting it wrong openly beats pretending to be perfect.