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Removed from Google Play Store
This app is no longer available for download. Historical metadata preserved for reference.
49
Quality Score
Emerging
Map of the Paris Metro π«π·
βοΈ bumetric analysis
“
Map of the Paris Metro π«π· is an Android app from Subway Maps by LithoByte, Co. in the Maps & Navigation category, currently rated 4.4β across 8 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 Maps & Navigation 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
$95K
Likely range $70K β $130K
$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 |
| βMaps & Navigation complexity Γ1.20 | +$10K |
| πCross-platform reach (iOS + Android) | +$33K |
Total estimate$95K
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 | Maps & Navigation |
| 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· 43/100INDIE TIERexpected for tierRevenue Strength
2.7
Product Quality
3.5
Market Position
0.0
Growth Velocity
5.0
Defensibility
5.0
Operational Safety
10.0
Founder Strength
6.9
Monetization Maturity
1.0
- π° Revenue: Marginal β $200 - $1250/mo Β· INDIE tier Β· medium confidence, trajectory unclear.
- β Quality: 4.4β across 8 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 ($22K/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 (4.4β )METRIC | +$800 | |
| Ad-supported / freemiumMETRIC | +$600 | |
| Pre-traction phase (8 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 Maps & Navigationπ° 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
- Map of the Paris Metro π«π·
- Developer
- Subway Maps by LithoByte, Co.
- Bundle ID
- paris.metro.plan.map.free
- App Store URL
- Open in App Store
- Category
- Maps & Navigation
- 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
- $113/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 Subway Maps by LithoByte, Co.
View all βπ¦ Portfolio summaryINDIE studio
28appsΒ·$22K/mocombined
β Diversified β top app contributes 18%; risk spread across portfolio
Full revenue analysis
Read the article-style breakdown for Map of the Paris Metro π«π·: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.