Rabia Aslam

Utilities is the main category at about 31.6% of apps, while the portfolio spans 8 categories. This is a relatively diversified portfolio strategy.

Utilities

6 apps · 31.6%

Games

4 apps · 21.1%

Education

3 apps · 15.8%

Lifestyle

2 apps · 10.5%

Health & Fitness

1 apps · 5.3%

• The primary category Utilities accounts for 31.6%. Long-tail categories can reduce single-category risk.
• The diversification score is about 0.81 (0=highly concentrated, 1=highly diversified), useful for comparing developers.

The full portfolio has about 6 public ratings, a small public review base. It includes 17 free apps and 2 paid apps.

Apps

19

Total ratings

6

Free / paid

17 / 2

• By review volume, the leading apps include: "AI Invoice Maker & Receipt", "HeyCal AI – Calorie Tracker", "Gold Detector & Metal Detector".
• Free apps dominate, which often points to a utility entry point plus subscription or upgrade model.

Weighted by rating volume, the portfolio averages about 3.00 stars; the simple average is 2.50 stars. The gap shows whether high-volume apps lift or drag the overall reputation.

Weighted avg

3.00 ★

Simple avg

2.50 ★

• The weighted and simple averages differ meaningfully, indicating that high-review apps strongly shape perception.
• 17 apps have no public rating data, so long-tail performance is underrepresented.

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.

• No app triggered the low-rating plus sufficient-sample threshold.
• Thin rating samples (under 50 ratings): "HeyCal AI – Calorie Tracker", "AI Invoice Maker & Receipt". Star ratings can swing heavily until more feedback arrives.

The earliest listed app is "Dino Run T-Rex Watch Game", while the newest or most recent listing signal is "Plant Identifier Leaf Scanner". The span is a proxy for long-term iteration capacity.

Span

2 years+

• Earliest record in this dataset: 2024 (Dino Run T-Rex Watch Game).
• Newer app signal: 2026 (Plant Identifier Leaf Scanner).

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: 8 categories show whether a main-category plus extension structure matches your resources.
• Compare reputation structure: weighted 3.00 stars vs. the leading app "AI Invoice Maker & Receipt" 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.