AI Cleaner：Swipe Photo CleanUp
48
Quality Score
Emerging
AI Cleaner：Swipe Photo CleanUp
Medium confidence
✍️ bumetric analysis
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AI Cleaner：Swipe Photo CleanUp is an iOS app from FIRSTECH PTE LTD in the Utilities category, currently rated 3.8★ across 102 ratings. Initial signal reads as mostly critical sentiment so far: users flag rough edges and unmet expectations.
Quality Score is 48: Emerging (early traction worth watching). For a Utilities 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
$200
per month
→
12-mo forecast
$100 – $931
per month
→
24-mo forecast
$100 – $2790
per month
MICRO tier
💡 Grow this revenue
Free AI audit of this app’s store listing
- Title & subtitle keyword fit
- Description hook & conversion structure
- Screenshots, ratings, reviews strategy
Typical impact: +2-5× organic installs
📊 Performance Tracking LIVE
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Rating
—
Reviews
—
Forecast Revenue / mo
—
Snapshots tracked
0
since first record
ONE-TIME · BUILD
💰 Estimated build cost
$45K
↳ What it cost to build · not monthly revenue
Likely range $35K – $60K
$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 |
| ⚙ Utilities complexity ×0.85 | $-7575 |
Total estimate
$45K
👥 Estimated audience size
20K
Lifetime downloads (US-equivalent)
Monthly active
4.0K
Daily active
800
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
LOW CONFIDENCEBaseline
$200/mo · ML-estimated from 234 triggers
Growth rate
+8.0% MoM · MICRO tier baseline (compound monthly)
Direction
Headwinds: low defensibility moat
6 months
$127 – $508
12 months
$100 – $931
24 months
$100 – $2.8K
Compound growth at +8.0% MoM (tier baseline for MICRO). Range widens with horizon — typical noise band ±60% at 6mo.. Ranges widen with horizon — distant futures carry more uncertainty.
📊
BU Investment Matrix
Insufficient data · 37/100MICRO TIERtoo early to scoreGrowth Velocity
5.0
Founder Strength
3.2
Product Quality
5.4
Revenue Strength
2.3
Monetization Maturity
1.0
Defensibility
2.4
Market Position
0.0
Operational Safety
10.0
- 💰 Revenue: Marginal — $0 - $500/mo · MICRO tier · indicative confidence, trajectory unclear.
- ⭐ Quality: 3.83★ across 102 reviews — below category median.
- 📍 Market: Not yet charting in any of the 9 monitored markets.
- 📈 Growth: Insufficient signal to assess trajectory.
- ⚠️ 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 = $3K-$6K.
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
MODELRevenue 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 4 of 4 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 | |
| Multilingual (15 languages)METRIC | +$1,500 | |
| Early-stage install base (102 ratings)METRIC | +$400 | |
| Growing app (1y old)METRIC | +$200 |
METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)
📈 Reviews Growth
LIVECumulative review count from first BU snapshot. Each point = a tracked update.
⭐ Rating Trend
LIVEAverage 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
- AI Cleaner：Swipe Photo CleanUp
- Developer
- FIRSTECH PTE LTD
- Bundle ID
- com.aiswipecleaner.cleanup
- App Store URL
- Open in App Store
- Category
- Utilities
- Content rating
- 17+
- Languages
- EN, FR, DE, HI, ID, IT, JA, KO, MS, PT, RU, ES, TH, TR, VI
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
- $144/mo
- Top-grossing rank
- 🇮🇳#81 /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 growth102 ratings+1357% lifetimeShow 3-year history estimate ▾
Tracked (4 weeks) Pre-tracking estimate (22 weeks) · model-based, ±5% noise · anchored to release date and current value
🗺️Geographic Distribution1 of 9 markets
🇮🇳
IN
Top-grossing rank: #81 / 100
Other markets
Outside top 100
in US, GB, DE, FR, JP, CA, AU, BR, IN
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#81 now · best #78 · worst #100
Lower line = better rank · Estimate from ratings growth model · Lower position on chart = worse rank · Higher = top of chart
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
Tired of a sluggish phone? AI Cleaner：Swipe Photo CleanUp is your ultimate solution for a faster, smoother, and more efficient mobile experience. Our AI-powered technology intelligently categorizes your files, allowing for lightning-fast scans and deep cleaning. Say goodbye to cluttered storage and hello to a phone that feels brand new.
--AI-powered: Experience the power of intelligent cleaning with our advanced AI algorithms.
--Fast & Efficient: Lightning-fast scans and deep cleaning free up precious storage space in seconds.… View full description on the official store →
--AI-powered: Experience the power of intelligent cleaning with our advanced AI algorithms.
--Fast & Efficient: Lightning-fast scans and deep cleaning free up precious storage space in seconds.… View full description on the official store →
App Specs
🔐 Own this app? Claim & verify MRR →💾 45 MB🔞 17+📱 iOS 14.0+🔖 v1.0.9🔄 updated 0d ago🌐 EN, FR, DE, HI, ID +10📂 Utilities💰 Paid
📅
What Worked™ · Development Pipeline
6 EVENTS TRACKEDDetected 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 →
2026-05
⭐
Rating ↑ 3.12 → 3.83 (improved 0.71★)
2026-05
📈
Crossed 50 ratings — social-proof flywheel kicking in
2026-05
🔄
Monetization changed: paid → free
2026-03
⭐
Rating ↑ 1.00 → 3.12 (improved 2.12★)
2026-03
📈
Crossed 10 ratings — social-proof flywheel kicking in
2025-04
🚀
First tracked snapshot — initial data captured
🔔
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📝 Description
95
BU Score · Transcendent
Full revenue analysis
Read the article-style breakdown for AI Cleaner：Swipe Photo CleanUp: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
Similar apps in Utilities
About this analysis
Why medium confidence: 102 ratings · no founder-verified revenue (model estimate only).
❓ Frequently Asked Questions
4 answers · auto-generated from this app's public dataHow much does AI Cleaner：Swipe Photo CleanUp make per month?▴
Based on our ML-calibrated revenue forecast, AI Cleaner：Swipe Photo CleanUp earns approximately $143/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 AI Cleaner：Swipe Photo CleanUp?▴
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 AI Cleaner：Swipe Photo CleanUp?▴
AI Cleaner：Swipe Photo CleanUp is published by FIRSTECH PTE LTD 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 AI Cleaner：Swipe Photo CleanUp's BU Score?▴
AI Cleaner：Swipe Photo CleanUp has a BU Score of 48/100 (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.