🏠 Build an accommodation empire 📦 Order new furniture 🧻 Be the perfect hos…
PanteonSerious warnings 2 confirmed warnings. Checked: 400 reviews and the Android app’s code.
From our automated analysis, 26 Oct 2026. Every label links to its evidence in the full report below.
This analysis describes version 1.43 of the app (the version number recorded inside the package we inspected), analyzed 2026-10-26 .
The store currently lists version 1.43, updated 2026-07-24.
Store screenshots supplied by the developer.
🏠 Build an accommodation empire
📦 Order new furniture
🧻 Be the perfect host
👮🏻 Improve your hospitality
⭐️ Become a five-star rated landlord
The perfect game for aspiring real estate millionaires! Become a wealthy landlord and build your hotel empire from the ground up.
In this sim game, you'll start with a small property and a limited budget. Your goal is to strategically invest, buy, and manage properties to grow your rental income and become the most successful landlord in the city. Please be sure to make shrewd decisions, negotiate deals, and maximize your profits to become a tycoon in the competitive real estate market.…
From the developer’s store description.
For developers and the curious
The evidence, sources, measurements and versions behind every label above.
Findings that met the published evidence standard.
Bundles 11 distinct ad networks / mediation SDKs: Amazon Publisher Services, AppLovin MAX, Fyber / Digital Turbine Exchange, Google Mobile Ads (AdMob / Ad Manager) and 7 more
The package embeds several distinct advertising or mediation SDKs — a stack built for ad volume, not for a single house ad.
Package artefact
Appworthy
sha256:218fcccccbd23ef52b018331ad1aae0c5ac951934ddbe4ca541fea0edbb476e6Aggressive ad load: raised by 12 distinct reviewers (about 1 in 33 reviews we read)
Advertising volume or placement that interrupts normal use: ads between every action, unskippable or forced full-screen ads.
Specific evidence of a useful property, within the stated scope.
The developer's store data-safety disclosure states that data deletion can be requested; we have not seen a deletion control in the app's own text
The developer's data-safety disclosure on the store states that users can request deletion of their data, or the app's own text offers a way to delete the account. This restates what the developer declares; it is not a test of whether deletion works. Apple publishes no equivalent disclosure, so on an Apple-only listing only the app's own text can support it.
400 reviews read for this analysis. Each observation keeps the sample and store it was based on.
Cute and fun game. it took me a few days to finish. 4 "levels," which are the 4 seasons, not nearly as many ads as I thought there would be, but they are still needed to get extra workers if you want after buying an initial crew. I would…
It was fun at first, but then I just kept getting bombarded with ads. Also, even though I bought every single piece of the nicest furniture I was still receiving 1-3 star reviews, making it impossible to get more than a 4 star rating…
Has potential till forced ads begins. Forced ads = Forced 1★ & Uninstall!
A sampled review illustrates one person’s experience. It does not establish a finding on its own.
“Not assessed” means we could not measure it. It is never a zero and never a pass.
Android package 1.43, scanned 26 Oct 2026. These describe that package, not the current store version.
Supporting measurements: not a complete list of possible harms or positives. Measurement vocabulary 1.4 · how these are measured
This analysis describes version 1.43 of the app (the version number recorded inside the package we inspected), analyzed 2026-10-26 .
The store currently lists version 1.43, updated 2026-07-24.
Each store’s release notes, as the developer wrote them. They are the developer’s words, not ours.
No release notes were provided for this version.
be-my-guestAssessed 2026-10-26 from 400 user reviews and the app's package.
What the stores publish. Store ratings are the stores’ numbers, not Appworthy’s, and are never averaged across stores.
This assessment is produced automatically. Four independent signals are read — user reviews, SDKs in the app package, the app's own on-screen text and the app manifest — and each candidate finding is filed under the sources that support it.
No charge stands on one kind of evidence — with one published exception. A finding is either a measured fact that anyone can reproduce (an ad SDK is in the package; every subscription bills weekly; the privacy label omits a tracker we can see), or it is an interpretation — and an interpretation needs independent sources to agree before it reaches the catch list. The exception is a harm only users can see: a charge may publish from reviews alone, as “Reported by N users”, once enough reviewers raise it to clear that charge’s own published bar. That agreement rule is what replaced the human reviewer, not a model’s confidence.
There is no overall score, on purpose. A 0–99 number was published here until 2026-09-15. It was withdrawn because it discriminated too weakly to be the instrument — 44.7% of every pair of apps tied — and because a single number is a verdict where a count is an observation. What publishes instead is a row of measurements, each of which says what was counted and, where we could not look, says that instead.
Findings under One source only are real reports we do not stand behind as findings. They are shown because withholding them entirely would hide a genuine complaint, and labelled because publishing them as charges would be an accusation off a single source.
Write to [email protected], or use the form. Name the finding, the app version and the evidence that needs correcting. Factual corrections are free and never depend on buying anything.