1.4M Assets Tracked Updated 2 min ago Revenue Forecasts
Add an app Create Account Sign In
Home
Weinmann Serdil icon

How much does Weinmann Serdil earn?

Android app from Grupo Fleury · Medical

ML forecast ★ 3.6 · 4K → Stable Free

~213/mo

ML revenue forecast. Calibrated against 13784 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

Weinmann Serdil screenshot 1 Weinmann Serdil screenshot 2 Weinmann Serdil screenshot 3 Weinmann Serdil screenshot 4

Weinmann Serdil's revenue trajectory

Forecast revenue from snapshot history. Last 2 months.

Where Weinmann Serdil sits in Medical

Revenue distribution of 13784 comparable apps. Weinmann Serdil highlighted.

Weinmann Serdil vs comparable apps

Revenue trajectory side-by-side. Bold = Weinmann Serdil, ghosted = peers.

App spec

Version
4.2.0
Last update
Sep 18, 2026
Launched
Aug 22, 2019
Price
Free
Monetization
Free

What Weinmann Serdil actually does (from store listing)

Access results quickly and easily Consult the schedules Learn how to prepare for exams Access the map with all units Share the results or download in PDF Add reminders to appointments Manage more than one person in the app

Comparable Android apps

The five apps in Medical with the closest revenue to Weinmann Serdil. Click any to see its detail page.

AppRevenueRatingRatings
CureCast®: Clinical Photo Mgmt icon CureCast®: Clinical Photo Mgmt 213 ★ 3.8 74
Synapse Mobility (Global) icon Synapse Mobility (Global) 213 ★ 2.7 247
Anesthesia Central icon Anesthesia Central 213 ★ 3.8 98
PApp - Die Patientenapp icon PApp - Die Patientenapp 213 — 0
鏡匠眼鏡 icon 鏡匠眼鏡 213 — 0
Own Weinmann Serdil? Replace our estimate with your real revenue via Stripe Connect or ASC. Get a public Verified badge.
Claim & verify →

How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and Bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on Weinmann Serdil's tracker page for current rating, reviews and snapshot timeline.

Building something similar? Get a free AI audit with $-revenue forecasts for every recommendation.
Audit my app →