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CubeNook - CFOP Cube Trainer

51
Quality Score
Solid

CubeNook - CFOP Cube Trainer

Medium confidence
4.0 ✍️ Editor
✍️ bumetric analysis

CubeNook - CFOP Cube Trainer is an Android app from HyuCode LLC in the Tools category, currently rated 4.0★ across 187 ratings. Initial signal reads as largely positive sentiment, users highlighting consistency and feature depth.

Quality Score is 51: Solid (established niche player). For a Tools 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.

💰 Monthly revenue · now vs forecast
● Right now
$153
per month
12-mo forecast
$77 – $715
per month
24-mo forecast
$77 – $2143
per month
MICRO tier
💡 Grow this revenue
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📊 Performance Tracking LIVE

Loading…
idle
0%
Rating
Reviews
Forecast Revenue / mo
Snapshots tracked
0
since first record
ONE-TIME · BUILD 💰 Estimated build cost
$70K
What it cost to build · not monthly revenue
Likely range $50K – $95K
$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
Tools complexity ×0.90 $-5049
🌐 Cross-platform reach (iOS + Android) +$24K
Total estimate $70K
👥 Estimated audience size
35K
Lifetime downloads (US-equivalent)
Monthly active
7.8K
Daily active
1.4K

Synthetic estimate from ratings × category benchmarks. Calibrated against 2024-2026 mobile-attribution retention + DAU/MAU reports. Numbers are US-storefront-equivalent — true global audience can be 5-10× larger for international apps. Full math + source list on /methodology.

How we sized it
📲 Tools engagement ~190 installs / rating
🔁 Tools D30 retention 22%
📍 DAU / MAU stickiness 0.18
DAU / MAU 18% sticky
🔬

How we forecast this revenue

LOW CONFIDENCE
Baseline
$153/mo · ML-estimated from 234 triggers
Growth rate
+8.0% MoM · MICRO tier baseline (compound monthly)
Direction
Headwinds: rating drift may slow acquisition, low defensibility moat
6 months
$97 – $390
12 months
$77 – $715
24 months
$77 – $2.1K
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 · 33/100MICRO TIERtoo early to score
GrowthFounderQualityRevenueMonetiz.MoatMarketSafety
Growth Velocity
5.0
Founder Strength
3.2
Product Quality
3.4
Revenue Strength
2.2
Monetization Maturity
1.0
Defensibility
2.0
Market Position
0.0
Operational Safety
10.0
  • 💰 Revenue: Marginal — $0 - $500/mo · MICRO tier · indicative confidence, trajectory unclear.
  • ⭐ Quality: 4.2★ across 19 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 = $2K-$4K.
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

MODEL
Revenue 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:
Good rating (4.0★)METRIC
+$800
Established app (6y old)METRIC
+$800
Ad-supported / freemiumMETRIC
+$600
Early-stage install base (187 ratings)METRIC
+$400
METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)

📈 Reviews Growth

LIVE
Cumulative review count from first BU snapshot. Each point = a tracked update.

⭐ Rating Trend

LIVE
Average rating evolution. Updates with each new review batch.

Profile & Insights

Everything we know — and don't — about this app and its company.

Identification

App name
CubeNook - CFOP Cube Trainer
Developer
HyuCode LLC
Bundle ID
jp.seiichirou.cube_lbl_memo
App Store URL
Open in App Store
Category
Tools
Content rating
Not found
Languages
Not found

Company

Website
blog.seiichirou.jp
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
$154/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 growth187 ratings+68% lifetimeShow 3-year history estimate ▾Jun 2023Dec 2024Jun 2026
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.

📝 About this app

CubeNook — Your ultimate CFOP speedcubing companion.

Browse 259 algorithms across 119 cases (F2L, OLL, PLL) with step-by-step 3D animation playback. Choose your preferred algorithm for each case, track your progress, and master the CFOP method at your own pace.

Key Features:
• 259 curated algorithms for all 41 F2L, 57 OLL, and 21 PLL cases
• 3D cube animation: watch each algorithm play out move by move, with adjustable speed (0.5x / 1x / 2x) and reverse playback
• Virtual Cube: practice directly in the app with undo/redo and scramble generator… View full description on the official store →
App Specs
🔐 Own this app? Claim & verify MRR →
🔖 v2.1.1🔄 updated 0d ago📂 Tools💰 Free📺 Ad-supported
🔔

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📝 Description

95
BU Score · Transcendent
Full revenue analysis
Read the article-style breakdown for CubeNook - CFOP Cube Trainer: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
Read deep-dive →

More by HyuCode LLC

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📦 Portfolio summaryINDIE studio
2apps·$450/mocombined
Lead-app heavy — top app contributes 66%

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About this analysis
ZCAnalyzed by Zakhar Chumak · founder, bumetric·Full methodology·Medium confidence

Why medium confidence: 187 ratings · no founder-verified revenue (model estimate only).

Frequently Asked Questions

4 answers · auto-generated from this app's public data
How much does CubeNook - CFOP Cube Trainer make per month?
Based on our ML-calibrated revenue forecast, CubeNook - CFOP Cube Trainer earns approximately $153/mo. This is a US-storefront-equivalent estimate; global revenue can be several times larger for internationally-distributed apps. See the methodology page for the full formula and confidence bands.
What apps are like CubeNook - CFOP Cube Trainer?
Browse the full Tools category catalog to find similar apps with revenue, build cost, audience and tech stack data. Each /p/{slug} page also shows a Compare side-by-side widget with three peer apps from the same niche.
Who makes CubeNook - CFOP Cube Trainer?
CubeNook - CFOP Cube Trainer is published by HyuCode LLC on the Google Play Store. See the full publisher portfolio (other apps by the same developer) via the More by developer block on the product page above.
What is CubeNook - CFOP Cube Trainer's BU Score?
CubeNook - CFOP Cube Trainer has a BU Score of 51/100 (Solid). The score combines App Store rating, ratings count, monetization model and revenue signals calibrated against founder-verified MRR anchors. See the BU Score formula.