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アプリで学ぶデータ構造とアルゴリズム

0
Quality Score
Niche

アプリで学ぶデータ構造とアルゴリズム

Low confidence
✍️ Editor
✍️ bumetric analysis

アプリで学ぶデータ構造とアルゴリズム is an Android app from Monaca (Asial Co. Ltd.), currently rated across few ratings. Initial signal reads as no scraped reviews yet: judgment based on metadata only.

Quality Score is 0: Niche (micro-niche or pre-traction stage). For an app like this, 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.

💰 Forecast monthly revenue
/mo
Founder-confirmed monthly revenue
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
📊

BU Investment Matrix

Insufficient data · 29/100MICRO TIERtoo early to score
GrowthFounderQualityRevenueMonetiz.MoatMarketSafety
Growth Velocity
5.0
Founder Strength
3.6
Product Quality
0.0
Revenue Strength
0.0
Monetization Maturity
1.0
Defensibility
3.5
Market Position
0.0
Operational Safety
10.0
  • 💰 Revenue: Pre-revenue or unknown — $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: No verified revenue — acquisition only makes sense for tech / userbase / brand.
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.

📈 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
アプリで学ぶデータ構造とアルゴリズム
Developer
Monaca (Asial Co. Ltd.)
Bundle ID
jp.co.asial.algorithm
App Store URL
Not found
Category
Not found
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
Not found
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.

📝 About this app

書籍『アプリで学ぶ データ構造とアルゴリズム』で解説されているデータ構造やアルゴリズムの動作を視覚的に理解することを目的としたアプリケーションです。

本アプリケーションで大体の動作を理解し、更に書籍の解説をよみつつ練習問題を解いてください。これによりデータ構造の原理が学べます。

更に詳しくアルゴリズムを学びたい人は、解析の部分を読んでみてください。
解析部分は、数学的な内容も含まれます。 最後に計算量の解析があります。
ここを見ると、そのデータ構造が、どの程度の時間やメモリを必要としているのかが分かります。

本書を読み、アルゴリズムとデータ構造に親しみ、プログラミングの次の段階に進んでください。


https://bookway.jp/modules/zox/index.php?main_page=product_info&products_id=1148&cPath=12
App Specs
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ONE-TIME · BUILD 💰 Estimated build cost
$80K
What it cost to build · not monthly revenue
Likely range $60K – $110K
$25K · MVP floor $100K · indie scale $500K+ · studio build

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
🌐 Cross-platform reach (iOS + Android) +$27K
Total estimate $80K
🛠 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 category
📦 Compact Android bundle → Native Kotlin

📝 Description

95
BU Score · Transcendent

More by Monaca (Asial Co. Ltd.)

View all →
📦 Portfolio summaryINDIE studio
4apps·$86/mocombined
Lead-app heavy — top app contributes 67%
About this analysis
ZCAnalyzed by Zakhar Chumak · founder, bumetric·Full methodology·Low confidence

Why low confidence: only 0 ratings · no founder-verified revenue (model estimate only) · revenue figure is directional only.

📌 Final verdict — read this before you trust the numbers above

アプリで学ぶデータ構造とアルゴリズム is a very early-stage Android app with weak public traction — only 0 ratings, no founder-verified MRR, and not ranked in any monitored grossing chart. The app appears to be monetised, but public signals are too sparse for a precise revenue estimate.

Bottom line: treat all revenue, audience and acquisition-value numbers on this page as directional only — not founder-verified facts.

Frequently Asked Questions

1 answers · auto-generated from this app's public data
Who makes アプリで学ぶデータ構造とアルゴリズム?
アプリで学ぶデータ構造とアルゴリズム is published by Monaca (Asial Co. Ltd.) 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.