🚫
Removed from Google Play Store
This app is no longer available for download. Historical metadata preserved for reference.
74
BU Score
Strong
TopTic for Likes Music Effects to Get Fans Loved
✍️ bumetric analysis
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TopTic for Likes Music Effects to Get Fans Loved is an Android app from Hana Kyuji in the Video Players & Editors category, currently rated 4.8★ across 18,893 ratings. Initial signal reads as no scraped reviews yet: judgment based on metadata only.
Our BU Score puts it at 74: Strong (healthy traction). For a Video Players & Editors app, that means healthy traction.
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.
🔬Forecast Breakdown — Why This Estimate?Top 3 of 3 triggers
Our ML model uses 200+ signals from public data. These are the most influential for this app:
| Mid install base (18,893 ratings)METRIC | +$5,500 | |
| Excellent rating (4.8★)METRIC | +$2,200 | |
| Ad-supported / freemiumMETRIC | +$600 |
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 →📂 Video Players & Editors💰 Free
Profile & Insights
Everything we know — and don't — about this app and its company.
Identification
- App name
- TopTic for Likes Music Effects to Get Fans Loved
- Developer
- Hana Kyuji
- Bundle ID
- com.kyphoto2video.eeffect
- App Store URL
- Open in App Store
- Category
- Video Players & Editors
- 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
- $1.4K/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 TopTic for Likes Music Effects to Get Fans Loved: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
📊
BU Investment Matrix
Weak · 44/100below benchmarksRevenue Strength
3.1
Product Quality
9.6
Market Position
0.0
Growth Velocity
5.0
Defensibility
2.0
Operational Safety
10.0
Founder Strength
4.1
Monetization Maturity
1.0
- 💰 Revenue: Modest ($1K/mo, trajectory unclear).
- ⭐ Quality: 4.8★ across 18,893 reviews — exceptional (top 1% in category).
- 📍 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 = $25K-$44K.
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.