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Future Self - Old Age Filter

40
Quality Score
Emerging

Future Self - Old Age Filter

High confidence
2.0 ✍️ Editor
✍️ bumetric analysis

Future Self - Old Age Filter is an Android app from Lucky Cat Apps and Games in the Entertainment category, currently rated 2.0★ across 10,862 ratings. Initial signal reads as mostly critical sentiment so far: users flag rough edges and unmet expectations.

Quality Score is 40: 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.

💰 Monthly revenue · now vs forecast
● Right now
$886
per month
12-mo forecast
$775 – $2794
per month
24-mo forecast
$718 – $6463
per month
INDIE tier
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📊 Performance Tracking LIVE

Loading…
idle
0%
Rating
Reviews
Forecast Revenue / mo
Snapshots tracked
0
since first record
ONE-TIME · BUILD 💰 Estimated build cost
$100K
What it cost to build · not monthly revenue
Likely range $75K – $135K
$25K · MVP floor $100K · indie scale $500K+ · studio build
📈 Slow ROI — current MRR is well below build cost

Synthetic estimate. Inputs: category complexity, file size, screen count, monetization layer, platform reach, age × team-size proxy. Calibrated against 2024-2026 indie-agency rate surveys. Full math + source list on /methodology.

Where the money goes
🧱 MVP baseline (design + 1-store ship) +$28K
📱 5 unique screens × $4.5K +$22K
Entertainment complexity ×1.30 +$15K
🌐 Cross-platform reach (iOS + Android) +$36K
Total estimate $100K
ONE-TIME · EXIT VALUE 💵 Estimated acquisition value
$10K
What it would sell for · not monthly revenue
Marketplace range $10K – $15K · 12× MRR multiple
💸 ~0.1× build cost (under-water)

Synthetic estimate. Multiple band derived from ad-supported + age, rating quality, category demand, and user-base maturity. Calibrated against 2024-2026 indie-app-marketplace closed-deal medians. Full math + comparable deal list on /methodology.

How the multiple was built
📺 Ad-supported base 15× MRR
★ rating < 3.5 (weak) -18%
🏷 Entertainment category multiple -5%
Final multiple 12× MRR
👥 Estimated audience size
1.6M
Lifetime downloads (US-equivalent)
Monthly active
190K
Daily active
76K

Synthetic estimate from ratings × category benchmarks. Calibrated against 2024-2026 mobile-attribution retention + DAU/MAU reports. Numbers are US-storefront-equivalent — true global audience can be 5-10× larger for international apps. Full math + source list on /methodology.

How we sized it
📲 Entertainment engagement ~150 installs / rating
🔁 Entertainment D30 retention 12%
📍 DAU / MAU stickiness 0.40
DAU / MAU 40% sticky
🛠 Estimated tech stack
🤖
Native Android (Kotlin)
High confidence · 80%
Also possible
Flutter

Heuristic guess from app bundle size, category, store description signals, and release-date stack era. Bumetric does not disassemble binaries — 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
🏷 Category context Entertainment
📦 Compact Android bundle → Native Kotlin
🔬

How we forecast this revenue

LOW CONFIDENCE
Baseline
$886/mo · ML-estimated from 234 triggers
Growth rate
+6.0% MoM · INDIE tier baseline (compound monthly)
Direction
Headwinds: rating drift may slow acquisition, low defensibility moat
6 months
$755 – $1.8K
12 months
$775 – $2.8K
24 months
$718 – $6.5K
Compound growth at +6.0% MoM (tier baseline for INDIE). Range widens with horizon — typical noise band ±40% at 6mo.. Ranges widen with horizon — distant futures carry more uncertainty.
📊

BU Investment Matrix

Pre-traction · 32/100INDIE TIERlimited signal
RevenueQualityMarketGrowthMoatSafetyFounderMonetiz.
Revenue Strength
2.9
Product Quality
4.0
Market Position
0.0
Growth Velocity
5.0
Defensibility
2.0
Operational Safety
7.0
Founder Strength
3.9
Monetization Maturity
1.0
  • 💰 Revenue: Marginal — $354 - $2216/mo · INDIE tier · medium confidence, trajectory unclear.
  • ⭐ Quality: 2.01★ across 10,862 reviews — weak — significant quality concerns.
  • 📍 Market: Not yet charting in any of the 9 monitored markets.
  • 📈 Growth: last update 187d ago — slow cadence.
  • ⚠️ Risk: Moderate — no material risk signals detected.
🎯 For competitors: Mixed picture. Worth competing if you have a clear UX or pricing edge — otherwise crowded segment.
💵 For acquirers: Estimated asking range 18-32× monthly = $15K-$28K.
Composite of 8 dimensions computed deterministically from public signals — no LLM, every score traces back to a measurable input. Default weights shown; "compete" / "acquire" / "invest" lenses re-weight without re-fetching.
Range:

💰 Forecast Revenue / mo

MODEL
Revenue forecast computed from BU's 234 trigger model on each snapshot. Calibrated against ground-truth from 58 verified-revenue apps.
🔬Forecast Breakdown — 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:
Mid install base (10,862 ratings)METRIC
+$5,500
Below-average rating (2.0★)METRIC
−$1,500
Ad-supported / freemiumMETRIC
+$600
METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)

📈 Reviews Growth

LIVE
Cumulative review count from first BU snapshot. Each point = a tracked update.

⭐ Rating Trend

LIVE
Average rating evolution. Updates with each new review batch.

Profile & Insights

Everything we know — and don't — about this app and its company.

Identification

App name
Future Self - Old Age Filter
Developer
Lucky Cat Apps and Games
Bundle ID
com.rocketboosterapps.futureme
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
$887/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" — additional sources (Crunchbase, X, IndieHackers, Acquire.com) coming.

📝 About this app

🌟Aging Booth - How will I look when I get older?🌟
Curious to see what you will look like when you are older? How about your friends or family? With Future Self, you can glimpse into the future with our aging booth and see how you will age!

🌟Time Machine - Aging filter🌟
It's easy to get started with Future Self, either take a photo or select one from your gallery, adjust the markers on your picture to get the most accurate results and finally click once more to see your old face! You can also share your results instantly with friends and family any way you wish.… View full description on the official store →
App Specs
🔐 Own this app? Claim & verify MRR →
🔖 v6.3🔄 updated 0d ago📂 Entertainment💰 Free
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📝 Description

95
BU Score · Transcendent
Full revenue analysis
Read the article-style breakdown for Future Self - Old Age Filter: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
Read deep-dive →

Similar apps in Entertainment

About this analysis
ZCAnalyzed by Zakhar Chumak · founder, bumetric·Full methodology·High confidence

Why high confidence: 10,862 ratings · no founder-verified revenue (model estimate only).

Frequently Asked Questions

4 answers · auto-generated from this app's public data
How much does Future Self - Old Age Filter make per month?
Based on our ML-calibrated revenue forecast, Future Self - Old Age Filter earns approximately $886/mo. This is a US-storefront-equivalent estimate; global revenue can be several times larger for internationally-distributed apps. See the methodology page for the full formula and confidence bands.
What apps are like Future Self - Old Age Filter?
Browse the full Entertainment category catalog to find similar apps with revenue, build cost, audience and tech stack data. Each /p/{slug} page also shows a Compare side-by-side widget with three peer apps from the same niche.
Who makes Future Self - Old Age Filter?
Future Self - Old Age Filter is published by Lucky Cat Apps and Games on the Google Play Store. See the full publisher portfolio (other apps by the same developer) via the More by developer block on the product page above.
What is Future Self - Old Age Filter's BU Score?
Future Self - Old Age Filter has a BU Score of 40/100 (Emerging). The score combines App Store rating, ratings count, monetization model and revenue signals calibrated against founder-verified MRR anchors. See the BU Score formula.