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Nostalgia AI・Foto Restaurieren

67
Quality Score
Solid

Nostalgia AI・Foto Restaurieren

Medium confidence
4.4 ✍️ Editor
✍️ bumetric analysis

Nostalgia AI・Foto Restaurieren is an iOS app from LIMBIC APPS YAZILIM LIMITED SIRKETI in the Photo & Video category, currently rated 4.4★ across 482 ratings. Initial signal reads as largely positive sentiment, users highlighting consistency and feature depth.

Quality Score is 67: Solid (established niche player). For a Photo & Video app, that means established niche player. 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
$5.0K
per month
12-mo forecast
$5.2K – $10.8K
per month
24-mo forecast
$6.4K – $19.2K
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
$140K
What it cost to build · not monthly revenue
Likely range $105K – $190K
$25K · MVP floor $100K · indie scale $500K+ · studio build
📈 Pays back in ~5 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 (155 MB) +$40K
Photo & Video complexity ×1.55 +$49K
Total estimate $140K
ONE-TIME · EXIT VALUE 💵 Estimated acquisition value
$425K
What it would sell for · not monthly revenue
Marketplace range $300K – $500K · 14× MRR multiple
💸 ~3.0× 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
Small user base (<1K ratings) -8%
Final multiple 14× MRR
👥 Estimated audience size
67K
Lifetime downloads (US-equivalent)
Monthly active
12K
Daily active
3.6K

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
📲 Photo & Video engagement ~140 installs / rating
🔁 Photo & Video D30 retention 18%
📍 DAU / MAU stickiness 0.30
DAU / MAU 30% sticky
🔬

How we forecast this revenue

MEDIUM CONFIDENCE
Baseline
$5.0K/mo · ML-estimated from 234 triggers
Growth rate
+4.0% MoM · MID tier baseline (compound monthly)
6 months
$4.7K – $7.9K
12 months
$5.2K – $10.8K
24 months
$6.4K – $19.2K
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 · 48/100MID TIERunderperforming peers
RevenueQualityMarketGrowthMoatSafetyFounderMonetiz.
Revenue Strength
3.7
Product Quality
6.1
Market Position
2.0
Growth Velocity
5.0
Defensibility
5.1
Operational Safety
10.0
Founder Strength
5.6
Monetization Maturity
1.0
  • 💰 Revenue: Modest — $3K - $7K/mo · MID tier · medium confidence, trajectory unclear.
  • ⭐ Quality: 4.36★ across 482 reviews — solid.
  • 📍 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 = $90K-$160K. Portfolio play ($39K/mo combined) commands premium.
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
5 starREVIEW
+$1,800
support teamREVIEW
+$900
Good rating (4.4★)METRIC
+$800
Established app (6y old)METRIC
+$800
Early-stage install base (482 ratings)METRIC
+$400
Single-language (English only)METRIC
−$400
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 · v5.0.5

- Combine People is now easier and safer — choose from ready-made pose options instead of typing a prompt.
- Improved cropping prevents faces from being cut off at the top or bottom when combining photos.… Full release notes →

Profile & Insights

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

Identification

App name
Nostalgia AI・Foto Restaurieren
Developer
LIMBIC APPS YAZILIM LIMITED SIRKETI
Bundle ID
com.ozgur.ColorizerPaid
App Store URL
Open in App Store
Category
Photo & Video
Content rating
4+
Languages
EN

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
$30.0K/mo
Top-grossing rank
Outside top 100 in US Photo & Video
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 growth482 ratings+62% lifetimeShow 3-year history estimate ▾Aug 2023Nov 2025Aug 2026
Tracked (57 weeks) Pre-tracking estimate (33 weeks) · model-based, ±5% noise · anchored to release date and current value
🌍Geographic ReachNot ranked
This app is currently outside the top 100 grossing in all 9 countries we monitor (US, UK, DE, FR, JP, CA, AU, BR, IN). Niche or new apps often launch this way — popularity rankings appear once daily revenue clears the regional threshold.
🚀Update Frequency · Releases per Quarter4 releases tracked
22Q2 2026Q3 2026
🚀Version Release Timeline4 releases tracked
v5.0.2May 2026v5.0.3May 2026v5.0.4Jul 2026v5.0.5Jul 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

Unlock the Past with me!
Restore, colorize, and animate your cherished memories with our powerful AI-driven features. Transform your old black-and-white photos into vivid, lifelike images. Bring historical moments to life by animating people in your old pictures. Easily remove tears and deformations from aged photos for pristine results.
Key Features:
* Bring old photos to life: Revive your memories using ai photo to video.
* Face Restoration: Effortlessly restore and enhance faces in old photos.
* Colorize Old Images: Add vibrant colors to your black-and-white photos.… View full description on the official store →
App Specs
🔐 Own this app? Claim & verify MRR →
💾 155 MB🔞 4+📱 iOS 16.0+🔖 v5.0.5🔄 updated 0d ago🌐 EN📂 Photo & Video💰 Paid
📅

What Worked™ · Development Pipeline

16 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 — v5.0.4 → v5.0.5
→ 30 days after: revenue +$14.3K/mo · reviews +23 high confidence
2026-07
🔧
Shipped update — v5.0.3 → v5.0.4
→ 30 days after: revenue +$14.3K/mo · reviews +29 high confidence
2026-06
📈
Crossed 500 ratings — social-proof flywheel kicking in
→ 30 days after: reviews +17 medium · co-occurring
2026-05
🔧
Shipped update — v5.0.2 → v5.0.3
→ 30 days after: reviews +31 medium · co-occurring
2026-05
📈
Crossed 100 ratings — social-proof flywheel kicking in
→ 30 days after: reviews +27 high confidence
2026-05
Rating ↑ 3.33 → 4.36 (improved 1.03★)
→ 30 days after: reviews +27 high confidence
2026-03
📈
Crossed 50 ratings — social-proof flywheel kicking in
→ 30 days after: revenue +$1.2K/mo · reviews +5 medium · co-occurring
2026-03
Rating ↓ 3.80 → 3.37 (dropped 0.43★)
→ 30 days after: revenue +$1.2K/mo · reviews +5 medium · co-occurring
2026-03
Rating ↑ 3.34 → 3.80 (improved 0.46★)
→ 30 days after: revenue +$1.2K/mo · reviews +5 medium · co-occurring
2026-01
📈
Crossed 50 ratings — social-proof flywheel kicking in
→ 30 days after: revenue +$1.1K/mo · rating +0.16★ high confidence
2021-04
📈
Crossed 10 ratings — social-proof flywheel kicking in
2020-10
Rating ↓ 3.20 → 2.83 (dropped 0.37★)
2020-07
Rating ↓ 4.33 → 3.50 (dropped 0.83★)
→ 30 days after: revenue +$219/mo · rating −0.30★ low · multiple changes
2020-07
Rating ↓ 5.00 → 4.33 (dropped 0.67★)
→ 30 days after: revenue +$438/mo · rating −1.50★ low · multiple changes
2020-06
🚀
First tracked snapshot — initial data captured
→ 30 days after: revenue +$438/mo · rating −1.50★ medium · co-occurring
2020-06
🚀
First tracked snapshot — initial data captured
→ 30 days after: revenue +$438/mo · rating −1.50★ medium · co-occurring
🌍

Multi-Country Performance

Available in 9 of 9 monitored markets
MarketRatingReviewsCurrent version
🇺🇸 US4.37843★5474.37843★ this version
🇬🇧 GB4.33087★1364.33087★ this version
🇩🇪 DE4.08★504.08★ this version
🇫🇷 FR4.13333★154.13333★ this version
🇯🇵 JP4.33333★244.33333★ this version
🇨🇦 CA4.07463★674.07463★ this version
🇦🇺 AU4.17241★294.17241★ this version
🇧🇷 BR4.37647★854.37647★ this version
🇮🇳 IN4★44★ this version
🔔

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📝 Description

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

More by LIMBIC APPS YAZILIM LIMITED SIRKETI

View all →
📦 Portfolio summaryINDIE studio
2apps·$39K/mocombined
Lead-app heavy — top app contributes 77%

Similar apps in Photo & Video

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

Why medium confidence: 482 ratings · no founder-verified revenue (model estimate only).

Frequently Asked Questions

4 answers · auto-generated from this app's public data
How much does Nostalgia AI・Foto Restaurieren make per month?
Based on our ML-calibrated revenue forecast, Nostalgia AI・Foto Restaurieren earns approximately $30K/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 Nostalgia AI・Foto Restaurieren?
Browse the full Photo & Video 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 Nostalgia AI・Foto Restaurieren?
Nostalgia AI・Foto Restaurieren is published by LIMBIC APPS YAZILIM LIMITED SIRKETI 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 Nostalgia AI・Foto Restaurieren's BU Score?
Nostalgia AI・Foto Restaurieren has a BU Score of 67/100 (Solid). The score combines App Store rating, ratings count, monetization model and revenue signals calibrated against founder-verified MRR anchors. See the BU Score formula.