Pflanzen Erkennen: Krankheiten
59
Quality Score
Solid
Pflanzen Erkennen: Krankheiten
by DAMIEN, NATHANAEL ELLEDGE
Medium confidence
✍️ Bumetric analysis
“
Pflanzen Erkennen: Krankheiten is an iOS app from DAMIEN, NATHANAEL ELLEDGE in the News category, currently rated 4.8★ across 152 ratings. Initial signal reads as largely positive sentiment, users highlighting consistency and feature depth.
Quality Score is 59: Solid (established niche player). For a News 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
$500
per month
→
12-mo forecast
$437 – $1575
per month
→
24-mo forecast
$405 – $3644
per month
INDIE 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
7 snapshots on record
Rating
4.8
Reviews
152 reviews
Forecast Revenue / mo
$500
Snapshots tracked
7
since Mar 2025
ONE-TIME · BUILD
💰 Estimated build cost
$75K
↳ What it cost to build · not monthly revenue
Likely range $55K – $100K
$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 |
| ⚙ News complexity ×1.20 | +$10K |
| ⚙ 2.1y maintenance × ~1-person team | +$12K |
Total estimate
$75K
ONE-TIME · EXIT VALUE
💵 Estimated acquisition value
$10K
↳ What it would sell for · not monthly revenue
Marketplace range $5K – $10K · 17× 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 |
| 📅 2.1y proven track record | +10% |
| ⭐ ★ rating ≥ 4.7 (premium) | +15% |
| 🏷 News category multiple | -5% |
| ⭐ Small user base (<1K ratings) | -8% |
Final multiple
17× MRR
👥 Estimated audience size
16K
Lifetime downloads (US-equivalent)
Monthly active
2.3K
Daily active
1.0K
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
| 📲 News engagement | ~120 installs / rating |
| 📅 2.1y of rating accumulation | -10% |
| 🔁 News D30 retention | 15% |
| 📍 DAU / MAU stickiness | 0.45 |
DAU / MAU
43% sticky
🛠 Estimated tech stack
🍎
Native iOS (SwiftUI)
Medium confidence · 70%
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
| 📦 App bundle size | 45 MB |
| 🏷 Category context | News |
| 📦 Small-mid iOS bundle | → Native SwiftUI (post-2020 era) |
💀 Maintenance status
At risk
40%
Last shipped 2026-04-20 · 157 days ago
0 · Active
50 · At risk
100 · Abandoned
Heuristic risk score from time-since-last-update + ratings velocity proxy + Editor's Choice / curated featuring signals. Calibrated against 2024-2025 app-store ranking decay reports. Not a guarantee — a quiet app with a healthy codebase looks the same as an abandoned one until something breaks. Full math on /methodology.
Risk signals
| 📅 5 months since last update | Slowing cadence |
| 👥 Small user base (152 ratings) + 2.1y old | +10% (solo-project pattern) |
Verdict
At risk
🔬
How we forecast this revenue
LOW CONFIDENCEBaseline
$500/mo · ML-estimated from 234 triggers
Growth rate
+6.0% MoM · INDIE tier baseline (compound monthly)
Direction
Headwinds: low defensibility moat
6 months
$426 – $993
12 months
$437 – $1.6K
24 months
$405 – $3.6K
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
Early-stage solo · 41/100INDIE TIERexpected for tierGrowth Velocity
5.0
Founder Strength
2.9
Product Quality
6.7
Revenue Strength
2.7
Monetization Maturity
1.0
Defensibility
2.5
Market Position
2.0
Operational Safety
10.0
- 💰 Revenue: Marginal — $200 - $1250/mo · INDIE tier · medium confidence, trajectory unclear.
- ⭐ Quality: 4.82★ across 152 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 = $9K-$16K.
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 5 of 5 triggers
Our ML model uses 200+ signals from public data. These are the most influential for this app:
| Excellent rating (4.8★)METRIC | +$2,200 | |
| Ad-supported / freemiumMETRIC | +$600 | |
| Localized (6 languages)METRIC | +$600 | |
| Early-stage install base (152 ratings)METRIC | +$400 | |
| Growing app (2y 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.
🆕 What's New · v1.0.6
Bug fixes and performance improvements
Profile & Insights
Everything we know — and don't — about this app and its company.
Identification
- App name
- Pflanzen Erkennen: Krankheiten
- Developer
- DAMIEN, NATHANAEL ELLEDGE
- Bundle ID
- com.damienelledge.AI-Plant-Identifier
- App Store URL
- Open in App Store
- Category
- News
- Content rating
- 4+
- Languages
- EN, FR, DE, IT, PT, ES
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
- Reported revenue signal / mo
- Not found
- AI revenue estimate / mo
- Not found
- AI annual estimate
- Not found
- Model estimate / mo
- $500/mo
- Top-grossing rank
- Outside top 100 in US News
- 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.
🌍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.
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
Discover the Ultimate Plant Care Companion !
Unleash the power of AI to identify, diagnose, and care for your plants like never before! Whether you’re a seasoned gardener or just starting your plant journey, our app provides you with the essential tools to keep your plants thriving.
Key Features :
- Instant Plant Identification: Simply snap a photo or upload an image, and our advanced AI will accurately identify your plant or tree in seconds.… View full description on the official store →
Unleash the power of AI to identify, diagnose, and care for your plants like never before! Whether you’re a seasoned gardener or just starting your plant journey, our app provides you with the essential tools to keep your plants thriving.
Key Features :
- Instant Plant Identification: Simply snap a photo or upload an image, and our advanced AI will accurately identify your plant or tree in seconds.… View full description on the official store →
App Specs
🔐 Own this app? Claim & verify MRR →💾 45 MB🔞 4+📱 iOS 16+🔖 v1.0.6🔄 updated 5mo ago🌐 EN, FR, DE, IT, PT +1📂 News💰 Paid🚀 Launched 2024 (2y old)
📅
What Worked™ · Development Pipeline
4 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
🔄
Monetization changed: freemium → free
→ 30 days after: reviews +66 high confidence
2026-03
📈
Crossed 10 ratings — social-proof flywheel kicking in
2026-03
⭐
Rating ↓ 5.00 → 4.60 (dropped 0.40★)
2025-03
🚀
First tracked snapshot — initial data captured
🌍
Multi-Country Performance
Available in 9 of 9 monitored markets| Market | Rating | Reviews | Current version |
|---|---|---|---|
| 🇦🇺 AU | 4.85714★ | 14 | 4.85714★ this version |
| 🇧🇷 BR | 4.91111★ | 45 | 4.91111★ this version |
| 🇨🇦 CA | 4.68293★ | 82 | 4.68293★ this version |
| 🇩🇪 DE | 4.61583★ | 1,200 | 4.61583★ this version |
| 🇫🇷 FR | 4.6893★ | 383 | 4.6893★ this version |
| 🇬🇧 GB | 4.84848★ | 33 | 4.84848★ this version |
| 🇮🇳 IN | 0★ | 0 | — |
| 🇯🇵 JP | 0★ | 0 | — |
| 🇺🇸 US | 4.80808★ | 297 | 4.80808★ this version |
🔔
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📝 Description
95
BU Score · Transcendent
Full revenue analysis
Read the article-style breakdown for Pflanzen Erkennen: Krankheiten: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
About this analysis
Why medium confidence: 152 ratings · no founder-verified revenue (model estimate only).
❓ Frequently Asked Questions
10 answers · auto-generated from this app's public dataHow much does Pflanzen Erkennen make per month?▴
Based on our ML-calibrated revenue forecast, Pflanzen Erkennen earns approximately $500/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.
Is Pflanzen Erkennen profitable?▴
With estimated build cost $75K and monthly revenue $500, Pflanzen Erkennen looks well below break-even — current monthly revenue is much smaller than the estimated build cost. Profitability also depends on paid-acquisition spend and refund rate which the public model doesn't see.
How many users does Pflanzen Erkennen have?▴
Estimated audience: ~16K lifetime downloads, ~2K monthly active users, and ~1K daily active users. Derived from ratings count × category installs-per-rating × age decay. US-storefront-equivalent — global audience can be 5-10× larger for internationally-distributed apps.
What apps are like Pflanzen Erkennen?▴
Browse the full News 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.
What is Pflanzen Erkennen built with?▴
Our heuristic places Pflanzen Erkennen on the Native iOS (SwiftUI) stack (Medium confidence, 70%). Signals: app bundle size, category context, store-description markers, release-date era. We don't disassemble binaries. Alternative possibilities: Flutter.
Is Pflanzen Erkennen still actively maintained?▴
Maintenance status: At risk (40% abandonment risk). Last shipped version was 5 months ago. The risk score combines time-since-last-update with Editor's Choice / curated featuring + user-base maturity adjustments.
How much would Pflanzen Erkennen sell for?▴
Estimated acquisition value: $10K (marketplace range $5.0K – $10K). Calculated as 17× monthly revenue using the standard multiple for the detected monetization model + adjustments for age, rating quality and category demand. Calibrated against 2024-2026 Flippa / Acquire.com / MicroAcquire closed-deal medians.
When was Pflanzen Erkennen last updated?▴
Pflanzen Erkennen last shipped a new version on 2026-04-20 — 5 months ago. This is the date Apple / Google last accepted a new build, not a content-only push.
Who makes Pflanzen Erkennen?▴
Pflanzen Erkennen is published by DAMIEN, NATHANAEL ELLEDGE 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 Pflanzen Erkennen's BU Score?▴
Pflanzen Erkennen has a BU Score of 59/100 (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.