0
BU Score
Niche
YDS Publishing Student's
✍️ bumetric analysis
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YDS Publishing Student's is an Android app from İMPARK in the Education category, currently rated — across few ratings. Initial signal reads as mostly critical sentiment so far: users flag rough edges and unmet expectations.
Our BU Score puts it at 0: Niche (micro-niche or pre-traction stage). For a Education app, that means micro-niche or pre-traction stage.
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
—
Forecast Revenue / mo
—
Snapshots tracked
0
since first record
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🚀 Launched 2019 (6y old)
📝 About this app
YDS Publishing Digital Services Student Mobile Application
It is an application where students can enter test answers, see the results and access to question-solution videos over the publications they use. Students can do this by reading the QR code and Optical Form through the application.
It is an application where students can enter test answers, see the results and access to question-solution videos over the publications they use. Students can do this by reading the QR code and Optical Form through the application.
Profile & Insights
Everything we know — and don't — about this app and its company.
Identification
- App name
- YDS Publishing Student's
- Developer
- İMPARK
- Bundle ID
- com.impark.ydsdijital
- App Store URL
- Open in App Store
- Category
- Education
- Content rating
- Not found
- Languages
- Not found
Company
- Website
- akillitahta.ydspublishing.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
- $252/mo
- Top-grossing rank
- Not found
- All-time revenue
- Not found
- Pricing
- Not found
Founder
- Name
- Not found
- X / Twitter
- Not found
- Not found
- GitHub
- Not found
- X followers
- Not found
- Public statements
- Not found
Funding
- Total raised
- Not found
- Last round
- Not found
- Investors
- Not found
- Crunchbase
- Not found
- AngelList
- Not found
Press & Links
- Articles found
- Not found
- Listed on
- Not found
- Blog
- Not found
- Press / News
- Not found
Contacts & Socials
- Socials
- Not found
- Not found
- Phone
- Not found
- Contact page
- Not found
- About page
- Not found
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 YDS Publishing Student's: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
📊
BU Investment Matrix
Avoid · 39/100structurally challengedRevenue Strength
2.4
Product Quality
0.0
Market Position
0.0
Growth Velocity
5.0
Defensibility
6.6
Operational Safety
10.0
Founder Strength
6.4
Monetization Maturity
1.0
- 💰 Revenue: Marginal ($252/mo, 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 = $4K-$8K. Portfolio play ($7K/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.