π«
Removed from Google Play Store
This app is no longer available for download. Historical metadata preserved for reference.
49
Quality Score
Emerging
πBikini Bottom Skins for MCPE
βοΈ bumetric analysis
“
πBikini Bottom Skins for MCPE is an Android app from Creative Mods in the Entertainment category, currently rated 4.2β across 21 ratings. Initial signal reads as no scraped reviews yet: judgment based on metadata only.
Quality Score is 49: Emerging (early traction worth watching). For a Entertainment app, that means early traction worth watching. The full BU Investment Matrix below scores 8 dimensions including monetisation, growth, and operational risk.
Track changes month-over-month in the Performance section below: live snapshot history and revenue forecast included.
π° Revenue Β· today and ahead
Today
$500/mo
In 12 months
$437 β $1575
In 24 months
$405 β $3644
INDIE tier
π‘ Grow this revenue
Free AI audit of this appβs store listing
- Title & subtitle keyword fit
- Description hook & conversion structure
- Screenshots, ratings, reviews strategy
Typical impact: +2-5Γ organic installs
π Performance Tracking LIVE
Loadingβ¦
Rating
β
Reviews
β
Forecast Revenue / mo
β
Snapshots tracked
0
since first record
π° Estimated build cost
$100K
Likely range $75K β $135K
$25K Β· MVP floor$100K Β· indie scale$500K+ Β· studio build
πSlow ROI β current MRR is well below build cost
Synthetic estimate. Inputs: category complexity, file size, screen count, monetization layer, platform reach, age Γ team-size proxy. Calibrated against 2024-2026 indie-agency rate surveys. Full math + source list on /methodology.
Where the money goes
| π§±MVP baseline (design + 1-store ship) | +$28K |
| π±5 unique screens Γ $4.5K | +$22K |
| βEntertainment complexity Γ1.30 | +$15K |
| πCross-platform reach (iOS + Android) | +$36K |
Total estimate$100K
π Estimated tech stack
π€
Native Android (Kotlin)
High confidence Β· 80%
Also possible
Flutter
Heuristic guess from app bundle size, category, store description signals, and release-date stack era. Bumetric does not disassemble binaries β for binary-level certainty you would need an SDK intelligence tool or the manifest itself. Reasoning chain on the right. Full ruleset on /methodology.
Signals we read
| π·Category context | Entertainment |
| π¦Compact Android bundle | β Native Kotlin |
π¬
How we forecast this revenue
LOW CONFIDENCEBaseline
$500/mo Β· ML-estimated from 234 triggers
Growth rate
+6.0% MoM Β· INDIE tier baseline (compound monthly)
Direction
Headwinds: rating drift may slow acquisition
6 months
$426 β $993
12 months
$437 β $1.6K
24 months
$405 β $3.6K
Compound growth at +6.0% MoM (tier baseline for INDIE). Range widens with horizon β typical noise band Β±40% at 6mo.. Ranges widen with horizon β distant futures carry more uncertainty.
π
BU Investment Matrix
Early-stage solo Β· 41/100INDIE TIERexpected for tierRevenue Strength
2.7
Product Quality
3.4
Market Position
0.0
Growth Velocity
5.0
Defensibility
5.0
Operational Safety
10.0
Founder Strength
6.0
Monetization Maturity
1.0
- π° Revenue: Marginal β $200 - $1250/mo Β· INDIE tier Β· medium confidence, trajectory unclear.
- β Quality: 4.2β across 21 reviews β weak β significant quality concerns.
- π Market: Not yet charting in any of the 9 monitored markets.
- π Growth: Insufficient signal to assess trajectory.
- β οΈ Risk: Low β no material risk signals detected.
π― For competitors: Mixed picture. Worth competing if you have a clear UX or pricing edge β otherwise crowded segment.
π΅ For acquirers: Estimated asking range 18-32Γ monthly = $9K-$16K. Portfolio play ($2K/mo combined) commands premium.
Composite of 8 dimensions computed deterministically from public signals β no LLM, every score traces back to a measurable input. Default weights shown; "compete" / "acquire" / "invest" lenses re-weight without re-fetching.
Range:
π° Forecast Revenue / mo
MODELRevenue forecast computed from BU's 234 trigger model on each snapshot. Calibrated against ground-truth from 58 verified-revenue apps.
π¬Forecast Breakdown β Why This Estimate?Top 3 of 3 triggers
Our ML model uses 200+ signals from public data. These are the most influential for this app:
| Good rating (4.2β )METRIC | +$800 | |
| Ad-supported / freemiumMETRIC | +$600 | |
| Pre-traction phase (21 ratings)METRIC | β$300 |
METRIC = structural app data Β· REVIEW = mined from user reviews Β· β VERIFIED = Stripe-verified anchor (TrustMRR)
π Reviews Growth
LIVECumulative review count from first BU snapshot. Each point = a tracked update.
β Rating Trend
LIVEAverage rating evolution. Updates with each new review batch.
π Entertainmentπ° Free
π
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Profile & Insights
Everything we know β and don't β about this app and its company.
Identification
- App name
- πBikini Bottom Skins for MCPE
- Developer
- Creative Mods
- Bundle ID
- com.creativemods.BikiniBottonSkinsCraft
- App Store URL
- Open in App Store
- Category
- Entertainment
- Content rating
- Not found
- Languages
- Not found
Company
- Website
- Not found
- Tagline
- Not found
- Description
- Not found
- Founded
- Not found
- HQ / Address
- Not found
- Employees
- Not found
- Logo
- Not found
Revenue
- Verified revenue / mo
- Not found
- AI revenue estimate / mo
- Not found
- AI annual estimate
- Not found
- ML model estimate / mo
- $151/mo
- Top-grossing rank
- Not found
- All-time revenue
- Not found
- Pricing
- Not found
Founder
Founder data not yet collected for this app.
Funding
Funding data not yet collected for this app.
Press & Links
Press & Links data not yet collected for this app.
Contacts & Socials
Contacts & Socials data not yet collected for this app.
Profile is built from iTunes Lookup + developer site scrape + ML revenue model. Empty fields show "Not found" β additional sources (Crunchbase, X, IndieHackers, Acquire.com) coming.
More by Creative Mods
View all βπ¦ Portfolio summaryINDIE studio
13appsΒ·$2K/mocombined
β Diversified β top app contributes 14%; risk spread across portfolio
Similar apps in Entertainment
Full revenue analysis
Read the article-style breakdown for πBikini Bottom Skins for MCPE: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.