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KeepClean AI: Storage Cleaner

70
Quality Score
Strong

KeepClean AI: Storage Cleaner

by Olosera Limited
Medium confidence
4.2 ✍️ Editor
✍️ bumetric analysis

KeepClean AI: Storage Cleaner is an iOS app from Olosera Limited in the Utilities category, currently rated 4.2★ across 4,123 ratings. Initial signal reads as mostly critical sentiment so far: users flag rough edges and unmet expectations.

Quality Score is 70: Strong (healthy traction). For a Utilities app, that means healthy traction. 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
$10.0K
per month
12-mo forecast
$10.3K – $21.7K
per month
24-mo forecast
$12.8K – $38.4K
per month
MID 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
$50K
What it cost to build · not monthly revenue
Likely range $40K – $70K
$25K · MVP floor $100K · indie scale $500K+ · studio build
📈 Pays back in ~3 months at current MRR

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
📦 Asset bundle (64 MB) +$5K
Utilities complexity ×0.85 $-8402
Total estimate $50K
ONE-TIME · EXIT VALUE 💵 Estimated acquisition value
$200K
What it would sell for · not monthly revenue
Marketplace range $150K – $250K · 14× MRR multiple
💸 ~4.0× return on build cost

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
🏷 Utilities category multiple -10%
Final multiple 14× MRR
👥 Estimated audience size
820K
Lifetime downloads (US-equivalent)
Monthly active
160K
Daily active
32K

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
📲 Utilities engagement ~200 installs / rating
🔁 Utilities D30 retention 20%
📍 DAU / MAU stickiness 0.20
DAU / MAU 20% sticky
🔬

How we forecast this revenue

MEDIUM CONFIDENCE
Baseline
$10.0K/mo · ML-estimated from 234 triggers
Growth rate
+4.0% MoM · MID tier baseline (compound monthly)
Direction
Headwinds: low defensibility moat
6 months
$9.5K – $15.8K
12 months
$10.3K – $21.7K
24 months
$12.8K – $38.4K
Compound growth at +4.0% MoM (tier baseline for MID). Range widens with horizon — typical noise band ±25% at 6mo.. Ranges widen with horizon — distant futures carry more uncertainty.
📊

BU Investment Matrix

Below median · 46/100MID TIERunderperforming peers
GrowthFounderQualityRevenueMonetiz.MoatMarketSafety
Growth Velocity
5.0
Founder Strength
5.2
Product Quality
7.6
Revenue Strength
4.0
Monetization Maturity
1.0
Defensibility
2.2
Market Position
2.0
Operational Safety
10.0
  • 💰 Revenue: Modest — $6K - $14K/mo · MID tier · medium confidence, trajectory unclear.
  • ⭐ Quality: 4.24★ across 4,123 reviews — strong (top 10%).
  • 📍 Market: Not yet charting in any of the 9 monitored markets.
  • 📈 Growth: dev shipping weekly.
  • ⚠️ Risk: Low — 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 = $179K-$319K.
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 8 of 8 triggers
Our ML model uses 200+ signals from public data. These are the most influential for this app:
Paid app ($0.00)METRIC
+$2,800
subscriptionREVIEW
+$2,500
Low install base (4,123 ratings)METRIC
+$1,500
slowREVIEW
−$1,200
free trialREVIEW
+$1,200
Good rating (4.2★)METRIC
+$800
New app (9 months old)METRIC
−$700
Localized (6 languages)METRIC
+$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.

🆕 What's New · v1.3.4

Thanks for staying with us!

In this update, we have made bug fixes and performance improvements.

Your feedback helps us to improve!

Profile & Insights

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

Identification

App name
KeepClean AI: Storage Cleaner
Developer
Olosera Limited
Bundle ID
limited.olosera.keepclean
App Store URL
Open in App Store
Category
Utilities
Content rating
4+
Languages
AR, EN, JA, PT, ES, TR

Company

Website
Not found
Tagline
Today
Description
Find apps and games for iPhone, iPad, Mac, and more on the App Store.
Founded
Not found
HQ / Address
Not found
Employees
Not found
Logo
Available

Revenue

Verified revenue / mo
Not found
AI revenue estimate / mo
Not found
AI annual estimate
Not found
ML model estimate / mo
$14.6K/mo
Top-grossing rank
🇺🇸#79 /100
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.
📈Ratings growth5,260 ratings+657% lifetimeShow 3-year history estimate ▾Oct 2025Feb 2026Jul 2026
Tracked (48 weeks) Pre-tracking estimate (7 weeks) · model-based, ±5% noise · anchored to release date and current value
🗺️Geographic Distribution1 of 9 markets
🇺🇸
US
Top-grossing rank: #79 / 100
Other markets
Outside top 100
in US, GB, DE, FR, JP, CA, AU, BR, IN
This app currently ranks in only one of the 9 markets we monitor. Niche or regional apps often launch this way before global rollout. Rankings update daily.
📊Category Rank Trajectory#79 now · best #79 · worst #100
Lower line = better rank · Estimate from ratings growth model · Lower position on chart = worse rank · Higher = top of chart
🚀Update Frequency · Releases per Quarter9 releases tracked
54Q2 2026Q3 2026
🚀Version Release Timeline8 releases tracked
v1.2.5May 2026v1.2.6Jun 2026v1.2.7Jun 2026v1.3.0Jun 2026v1.3.1Jul 2026v1.3.2Jul 2026v1.3.3Jul 2026v1.3.4Jul 2026
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

KeepClean — your storage lifesaver.

Too many photos, screenshots, or oversized videos slowing you down? KeepClean helps you get rid of the clutter in just a few taps:

- detect and remove duplicates,

- tidy up Live Photos,

- clear unnecessary screenshots,

- compress large videos without losing quality.

Enjoy a faster iPhone and a gallery that finally feels organized.

Download KeepClean today and say goodbye to “Storage Almost Full.”

Information about subscription auto-renewal:… View full description on the official store →
App Specs
🔐 Own this app? Claim & verify MRR →
💾 64 MB🔞 4+📱 iOS 16.0+🔖 v1.3.4🔄 updated 0d ago🌐 AR, EN, JA, PT, ES +1📂 Utilities💰 Paid
📅

What Worked™ · Development Pipeline

18 EVENTS TRACKED
Detected changes in this app over its tracked lifetime — each event links cause (what changed) to effect (what moved). Sorted newest first.See full history →Version history →
2026-07
🔧
Shipped update — v1.3.3 → v1.3.4
→ 30 days after: reviews +121 medium · co-occurring
2026-07
🔧
Shipped update — v1.3.2 → v1.3.3
→ 30 days after: revenue +$14.6K/mo · reviews +152 medium · co-occurring
2026-07
🔧
Shipped update — v1.3.1 → v1.3.2
→ 30 days after: revenue +$14.6K/mo · reviews +214 medium · co-occurring
2026-07
📈
Crossed 5,000 ratings — social-proof flywheel kicking in
→ 30 days after: revenue +$14.6K/mo · reviews +214 medium · co-occurring
2026-06
🔧
Shipped update — v1.3.0 → v1.3.1
→ 30 days after: revenue +$14.6K/mo · reviews +214 medium · co-occurring
2026-06
🔧
Shipped update — v1.2.7 → v1.3.0
→ 30 days after: revenue +$14.6K/mo · reviews +419 high confidence
2026-06
🔧
Shipped update — v1.2.6 → v1.2.7
→ 30 days after: reviews +419 medium · co-occurring
2026-06
🔧
Shipped update — v1.2.5 → v1.2.6
→ 30 days after: reviews +419 medium · co-occurring
2026-05
🔧
Shipped update — v1.2.3 → v1.2.5
→ 30 days after: reviews +644 medium · co-occurring
2026-05
Rating ↑ 2.04 → 4.24 (improved 2.20★)
→ 30 days after: reviews +644 medium · co-occurring
2026-05
📈
Crossed 50 ratings — social-proof flywheel kicking in
→ 30 days after: reviews +644 medium · co-occurring
2026-03
Rating ↑ 2.06 → 3.78 (improved 1.72★)
→ 30 days after: rating +1.73★ · reviews +3,181 high confidence
2026-03
📈
Crossed 50 ratings — social-proof flywheel kicking in
→ 30 days after: rating +1.73★ · reviews +3,181 high confidence
2025-12
📈
Crossed 10 ratings — social-proof flywheel kicking in
→ 30 days after: rating −0.59★ · reviews +13 high confidence
2025-11
Rating ↓ 3.40 → 3.00 (dropped 0.40★)
→ 30 days after: rating −0.79★ · reviews +10 high confidence
2025-11
Rating ↑ 3.00 → 3.67 (improved 0.67★)
→ 30 days after: rating +2.22★ · reviews +8 medium · co-occurring
2025-11
Rating ↑ 1.00 → 3.00 (improved 2.00★)
→ 30 days after: rating +2.29★ · reviews +6 medium · co-occurring
2025-11
🚀
First tracked snapshot — initial data captured
→ 30 days after: rating +2.29★ · reviews +6 medium · co-occurring
🌍

Multi-Country Performance

Available in 9 of 9 monitored markets
MarketRatingReviewsCurrent version
🇦🇺 AU4.0061★1644.0061★ this version
🇧🇷 BR4.85185★544.85185★ this version
🇨🇦 CA3.86567★1343.86567★ this version
🇩🇪 DE2.85714★72.85714★ this version
🇫🇷 FR4★14★ this version
🇬🇧 GB4.00833★1204.00833★ this version
🇮🇳 IN5★35★ this version
🇯🇵 JP3.69231★263.69231★ this version
🇺🇸 US4.23776★5,1904.23776★ this version
🔔

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📝 Description

95
BU Score · Transcendent
Full revenue analysis
Read the article-style breakdown for KeepClean AI: Storage Cleaner: 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 Utilities

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

Why medium confidence: 4,123 ratings · no founder-verified revenue (model estimate only).

Frequently Asked Questions

4 answers · auto-generated from this app's public data
How much does KeepClean AI make per month?
Based on our ML-calibrated revenue forecast, KeepClean AI earns approximately $14K/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 KeepClean AI?
Browse the full Utilities 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 KeepClean AI?
KeepClean AI is published by Olosera Limited on the Apple App 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 KeepClean AI's BU Score?
KeepClean AI has a BU Score of 70/100 (Strong). The score combines App Store rating, ratings count, monetization model and revenue signals calibrated against founder-verified MRR anchors. See the BU Score formula.