GOODROID,Inc.

Games

Team website

Website

110Apps

4.5Avg Rating

795.3KTotal Ratings

5Categories

Product page (App Store)

Developer portfolio analysis

Automatically summarizes public App Store metadata such as categories, rating volume, star ratings, release dates, and pricing for competitor research and product planning. The DeepSeek section is generated on demand when the API is configured; otherwise only rule-based analysis is shown.

DeepSeek AI analysis

Runs on demand so the initial page load stays fast.

Review the rule-based cards first, then generate the AI readout. It usually takes 10-40 seconds.

Product direction

Category and portfolio mix

Games is the main category at about 95.5% of apps, while the portfolio spans 5 categories. This is a highly concentrated portfolio strategy.

Games: 105 apps · 95.5%
Utilities: 2 apps · 1.8%
Music: 1 apps · 0.9%
Entertainment: 1 apps · 0.9%
Book: 1 apps · 0.9%

The primary category Games accounts for 95.5%. Long-tail categories can reduce single-category risk.
The diversification score is about 0.09 (0=highly concentrated, 1=highly diversified), useful for comparing developers.

Portfolio data

Scale and monetization structure

The full portfolio has about 795.3K public ratings, a large public review base. It includes 109 free apps and 1 paid apps.

Apps: 110
Total ratings: 795.3K
Free / paid: 109 / 1

By review volume, the leading apps include: "Hexa Away", "Nuts And Bolts Sort", "Laser Beam 3D - drawing puzzle".
Free apps dominate, which often points to a utility entry point plus subscription or upgrade model.

Ratings and reputation

Weighted average and head effects

Weighted by rating volume, the portfolio averages about 4.61 stars; the simple average is 4.55 stars. The gap shows whether high-volume apps lift or drag the overall reputation.

Weighted avg: 4.61 ★
Simple avg: 4.55 ★

The weighted and simple averages are close, suggesting reputation is relatively balanced across apps.
9 apps have no public rating data, so long-tail performance is underrepresented.

Reputation risk proxy

Low ratings and thin samples (API has no review text)

The iTunes Search API does not provide review text. This card uses low star ratings with enough review volume as a proxy, and separately highlights apps with thin samples.

Low-rating watchlist (at least 80 ratings and below 4.0 stars): "Hair Removal Run!" 3.0★; "Food Escaper" 3.6★. Use App Store Connect exports or third-party data for semantic review analysis.
Thin rating samples (under 50 ratings): "もやしびと -完全無料！放置型もやし育成ゲーム-", "坂本ですが？秘技…フリータイムキラー", "Attack On Junior High Schooler-学園ゲーム/バトルゲーム". Star ratings can swing heavily until more feedback arrives.

Release and lifecycle

Listing age span

The earliest listed app is "もやしびと -完全無料！放置型もやし育成ゲーム-", while the newest or most recent listing signal is "Triple Arrow Match". The span is a proxy for long-term iteration capacity.

Span: 11 years+

Earliest record in this dataset: 2014 (もやしびと -完全無料！放置型もやし育成ゲーム-).
Newer app signal: 2026 (Triple Arrow Match).

Reference points for builders

Reusable research angles

These takeaways are based on public metadata and are useful for competitor research or portfolio planning. Deeper conclusions require downloads, revenue, and review text.

Study the category mix: 5 categories show whether a main-category plus extension structure matches your resources.
Compare reputation structure: weighted 4.61 stars vs. the leading app "Hexa Away" and its review volume.
For similar tools, prioritize review mining on lower-rated apps to find functional gaps; this requires store reviews or third-party data.

Rule-based cards use iTunes Search API data. DeepSeek generates its readout from the same public data and should be treated as directional research.

Team / product news

Runs on demand and avoids external calls by default.

Aggregates news about the team and core products, up to 20 items.