63
Quality Score
Solid
Pathology Dictionary
✍️ bumetric analysis
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Pathology Dictionary is an Android app from techhuw in the Medical category, currently rated 5.0★ across 346 ratings. Initial signal reads as mixed reviews: supporters praise core features while critics cite stability and value gaps.
Quality Score is 63: Solid (established niche player). For a Medical 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.
📊 Performance Tracking LIVE
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Rating
—
Reviews
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Forecast Revenue / mo
—
Snapshots tracked
0
since first record
📊
BU Investment Matrix
Weak · 51/100MID TIERbelow benchmarksRevenue Strength
3.7
Product Quality
7.0
Market Position
0.0
Growth Velocity
5.0
Defensibility
7.5
Operational Safety
10.0
Founder Strength
6.6
Monetization Maturity
1.0
- 💰 Revenue: Modest — $3K - $7K/mo · MID tier · medium confidence, trajectory unclear.
- ⭐ Quality: 5.0★ across 346 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 ($11K/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
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:
| Excellent rating (5.0★)METRIC | +$2,200 | |
| Mature app (11y old)METRIC | +$1,500 | |
| Ad-supported / freemiumMETRIC | +$600 | |
| Early-stage install base (346 ratings)METRIC | +$400 |
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.
App Specs
🔐 Own this app? Claim & verify MRR →🔖 vVaries with device📂 Medical💰 Free📺 Ad-supported🚀 Launched 2014 (11y old)
📝 About this app
This kind of dictionary include word related to the causes,nature and effects of disease.It include all the word related to this .Each disease contain their effect so that it is easy to understand it through this dictionary.It keep on growing your knowledge.It contain search option with short description .It is very helpful and friendly.
Profile & Insights
Everything we know — and don't — about this app and its company.
Identification
- App name
- Pathology Dictionary
- Developer
- techhuw
- Bundle ID
- com.patho.patholgydictionyapp
- App Store URL
- Open in App Store
- Category
- Medical
- 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
- $365/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.
📈Ratings growth346 ratings+12% lifetimeShow 3-year history estimate ▾
Tracked (1 weeks) Pre-tracking estimate (36 weeks) · model-based, ±5% noise · anchored to release date and current value
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.
Full revenue analysis
Read the article-style breakdown for Pathology Dictionary: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.