0
Quality Score
Niche
學測考古題
✍️ bumetric analysis
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學測考古題 is an Android app from MENG CHIA TSAI 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.
📊 Investment Score
39/100
Avoid
INDIE
💰 Forecast Revenue / mo
$500
$200 – $1250
medium
⭐ Quality
—
— reviews
🗣 Sentiment
—
Insufficient review data
📊 Performance Tracking LIVE
Loading…
Rating
—
Reviews
—
Forecast Revenue / mo
—
Snapshots tracked
0
since first record
📊
BU Investment Matrix
Avoid · 39/100INDIE TIERstructurally challengedRevenue Strength
2.7
Product Quality
0.0
Market Position
0.0
Growth Velocity
5.0
Defensibility
6.5
Operational Safety
10.0
Founder Strength
6.1
Monetization Maturity
1.0
- 💰 Revenue: Marginal — $200 - $1250/mo · INDIE tier · medium 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 = $9K-$16K. Portfolio play ($3K/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.
📈 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 (6y old)
📝 About this app
Archeological Questions of Xuexue contains archaeological questions of various subjects in recent years
※ Features
● Provide the latest question bank
● Question classification to improve learning efficiency
● Collection of stars to make your learning more interesting
● Black background mode, lightens the eyes
● Completion function to keep you informed of your progress
● You can design the appearance according to your preference
※ Features
● Provide the latest question bank
● Question classification to improve learning efficiency
● Collection of stars to make your learning more interesting
● Black background mode, lightens the eyes
● Completion function to keep you informed of your progress
● You can design the appearance according to your preference
Profile & Insights
Everything we know — and don't — about this app and its company.
Identification
- App name
- 學測考古題
- Developer
- MENG CHIA TSAI
- Bundle ID
- com.collegeEntranceExam1
- App Store URL
- Open in App Store
- Category
- Education
- Content rating
- Not found
- Languages
- Not found
Company
- Website
- bigrabbitapp.com
- 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
- $127/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 學測考古題: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.