How to Find What SDKs and Tech Stack an App Uses

If you have ever opened a competitor's app and wondered "what is this thing actually built with?" — which ad network monetizes it, which analytics SDK it phones home to, whether it is React Native or fully native — you are asking a tech-stack fingerprinting question. The good news: most of the answer is sitting in public signals you can pull without anything exotic.

This guide walks through the layers, cheapest-first.

1. Start with store metadata

Before you touch a binary, the Google Play listing already tells you a lot:

• Declared permissions hint at capabilities — com.google.android.gms.permission.AD_ID strongly implies an advertising SDK; fine-location permissions suggest a location-data SDK.
• The Data Safety section enumerates what data the app collects and shares, which maps closely to the analytics and attribution SDKs in the build.
• Update cadence, install count, and rating velocity tell you how mature and well-resourced the team is.

You can browse this kind of structured metadata across hundreds of thousands of titles in the Appluck app directory — sort and filter to line up a competitor against its category peers before you dig deeper.

2. Read the permissions and declared components

Android apps declare their components in the manifest. Even from the outside, the set of permissions and the services/receivers an app registers is a fingerprint. A few quick tells:

• BILLING → in-app purchases (Play Billing).
• A cluster of ad permissions + INTERNET + ACCESS_NETWORK_STATE → a mediated ad stack (AdMob, AppLovin MAX, ironSource, and friends).
• A push-related service → a messaging SDK such as Firebase Cloud Messaging or a vendor like OneSignal.

Map the publisher's whole portfolio to see which SDKs they reuse across apps — a developer's full app portfolio usually shares one monetization and analytics spine.

3. Fingerprint the SDKs by package signatures

The most reliable signal lives in class paths and package names. Popular SDKs ship under stable namespaces, so a presence check is essentially a substring match:

Namespace prefix	Likely SDK
com.google.android.gms.ads	Google AdMob
com.applovin	AppLovin / MAX
com.unity3d.ads	Unity Ads
com.facebook.ads	Meta Audience Network
com.amplitude	Amplitude analytics
io.branch	Branch attribution

Maintain a dictionary of namespace → SDK and you have a detector. Cross-check against multiple namespaces before you call it — mediation SDKs pull in several ad adapters, so seeing com.applovin and com.google.android.gms.ads usually means MAX mediating AdMob, not two independent integrations.

4. Confirm with network behavior

Runtime traffic is the tie-breaker. Endpoints are stable and recognizable:

• graph.facebook.com / *.facebook.com → Meta SDK.
• app-measurement.com → Firebase / Google Analytics.
• *.appsflyer.com, *.adjust.com, *.branch.io → attribution.

A handful of hostnames will confirm the analytics and attribution layer you inferred from steps 1–3.

5. Turn signals into a comparison

One app is an anecdote; the pattern across a category is the insight. Once you can fingerprint a stack, run it across a competitor set: which ad mediator dominates puzzle games, which attribution vendor the top-grossing finance apps trust, how monetization choices track with retention.

That cross-app view is exactly what Appluck is built for — and the historical trend and ad-network intelligence behind it lives in the Pro plan.

Wrapping up

You do not need to crack open every APK to understand an app's stack. Start with store metadata, read the permissions, fingerprint by package namespace, confirm with network endpoints — then scale the analysis across a whole category. The public surface area is bigger than most people assume.