0
Quality Score
Niche
AyurSelect
✍️ bumetric analysis
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AyurSelect is an Android app from Dr.Maneesh Nema in the Education category, currently rated — across few ratings. Initial signal reads as largely positive sentiment, users highlighting consistency and feature depth.
Quality Score is 0: Niche (micro-niche or pre-traction stage). For a Education app, that means micro-niche or pre-traction stage. 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.
💰 Revenue · today and ahead
Today
$200/mo
In 12 months
$100 – $931
In 24 months
$100 – $2790
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
💰 Estimated build cost
$130K
Likely range $100K – $175K
$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 |
| ⚙Education complexity ×1.20 | +$10K |
| 🌐Cross-platform reach (iOS + Android) | +$33K |
| ⚙5.8y maintenance × ~1-person team | +$34K |
Total estimate$130K
🛠 Estimated tech stack
🤖
Native Android (Kotlin)
High confidence · 80%
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
| 🏷Category context | Education |
| 📦Compact Android bundle | → Native Kotlin |
🔬
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: rating drift may slow acquisition
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 · 32/100MICRO TIERtoo early to scoreRevenue Strength
2.3
Product Quality
0.0
Market Position
0.0
Growth Velocity
5.0
Defensibility
3.5
Operational Safety
10.0
Founder Strength
3.5
Monetization Maturity
1.0
- 💰 Revenue: Marginal — $0 - $500/mo · MICRO tier · indicative confidence, trajectory unclear.
- ⭐ Quality: None★ across 0 reviews — weak — significant quality concerns.
- 📍 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.
📈 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📂 Education💰 Free📺 Ad-supported🚀 Launched 2020 (5y old)
📝 About this app
Now it can be Installed on Tablets and Big Screen Devices...
New Sections added..
This app is for the betterment of Ayurvedic students. This is best for preparing AIAPGET exam. It contains more than 30000 question which covers almost whole syllabus.
App also contains study material so u can study anytime anywhere.
Full version with major update will be launched in April 2020
New Sections added..
This app is for the betterment of Ayurvedic students. This is best for preparing AIAPGET exam. It contains more than 30000 question which covers almost whole syllabus.
App also contains study material so u can study anytime anywhere.
Full version with major update will be launched in April 2020
🔔
Track this app’s revenue
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Profile & Insights
Everything we know — and don't — about this app and its company.
Identification
- App name
- AyurSelect
- Developer
- Dr.Maneesh Nema
- Bundle ID
- com.omsairam.ayurvedpgclasses
- App Store URL
- Open in App Store
- Category
- Education
- 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
- $298/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.
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 AyurSelect: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.