---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "DSA Master - Data & Algorithms"
developer_entity: "Alok Singh"
bundle_id: "com.aryansbtloe.swiftdsandalgo.ios"
app_store_id: "1672776683"
category: "Education"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2026-07-07"
report_date: "2026-09-24"
last_verified: "2026-09-24T00:00:00.000Z"
report_version: "2026.07.05"
total_reviews: 35
overall_rating: 4.2
confidence: "low"
confidence_score: 0.3
data_age_days: 6
momentum_velocity: "maintenance"
intelligence_version: 2
tags: ["education", "free", "mobile app", "app review", "app analysis", "computer", "science", "students,"]
canonical_url: "https://marlvel.ai/apps/dsa-master-data-algorithms"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# DSA Master - Data & Algorithms Intelligence Report

## TL;DR {#tldr}

- **Category**: Education · Free
- **Signal**: Rating 4.2

> **TL;DR:** DSA Master - Data & Algorithms is a education app by Alok Singh, rated 4.2/5 by 35 users, available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** DSA Master - Data & Algorithms is a education app by Alok Singh.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 4.2/5 (35 reviews) |
| **Category** | Education |
| **Developer** | Alok Singh |
| **Pricing** | Free |
| **Platforms** | iOS |
| **Confidence** | Low (0.3/1.0) |
| **Data Age** | 6d |

## Metadata & Market Performance
- **Publisher:** Alok Singh
- **Category:** Education
- **Target Audience:** Computer science students, software engineers, and technical interview candidates seeking structured algorithm and data structure practice.
- **Platforms:** iOS
- **Version Reviewed:** 2026.07.05
- **Report Date:** 2026-09-24
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.3/1.0)
- **App Store ID (iOS):** 1672776683
- **Bundle ID:** com.aryansbtloe.swiftdsandalgo.ios
- **Data Window:** Analysis based on signals collected up to 2026-09-24

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** DSA Master - Data & Algorithms is an educational tool for computer science students and engineers, offering algorithm visualizations and a multi-language code playground on iOS.
**Why users hire it:** It removes the cognitive friction of setting up local development environments by providing an integrated, offline-capable space for practicing technical interview problems.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] Live Code Playground:** In-app editor for writing, editing, and executing code in Python, JavaScript, Java, C++, Kotlin, Dart, and Go
- **[Differentiator] Animated Algorithm Visualizations:** Step-by-step visual flow of data structures and algorithms with playback controls
- **[Standard] Study Streaks and Goals:** Gamified tracking of daily learning habits and objective monitoring
  * *User Intent:* Users are motivated by consistent progression and daily incentives.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

DSA Master - Data & Algorithms occupies a niche in the Education category, providing a specialized toolset for technical interview preparation. The absence of recent feature updates relative to its 2023 release date suggests a stable but non-aggressive market posture.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Free
- **Tiers:** Free to download
- **Analysis:** The app is free to download and monetizes through Google AdMob ad inventory.

<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- Animated algorithm visualizations provide a differentiated capability for visual learners.
- Multi-language code playground lowers the barrier to active practice.

**Growth Levers:**
- Localized content for non-English speaking developer segments could unlock new growth.
- Expansion into advanced interview topics could increase long-term user retention.


<!-- /section:swot -->
<!-- section:whats-new -->
## What's New

- **Latest (v2026.07.05, 2 months ago):** General maintenance release focused on bug fixes and performance enhancements.
<!-- /section:whats-new -->

<!-- section:momentum -->
## App Momentum (Maintenance) {#momentum}

- Ships maintenance-only updates.
- Last release 79 days ago.

> **Cadence:** 1 total versions · 0 majors in last 6 months · 79 days since last update

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

DSA Master - Data & Algorithms is an education app that is completely free.
It holds a 4.2/5 rating from 35 reviews.

<!-- speakable-start -->
> **Bottom Line:** Transitioning from a maintenance-only cadence to a content-refresh cycle would address the stagnation risk inherent in static educational tools, ensuring the platform remains a primary resource for technical interview preparation.
<!-- speakable-end -->

**Best for:** Computer science students, software engineers, and technical interview candidates seeking structured algorithm and data structure practice.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [PIVOT] Pivot the current maintenance-only roadmap toward a content-refresh sprint
<!-- /section:pm-actions -->

<!-- section:outlook -->
### Outlook: Stable

The technical education market is consolidating around platforms that offer frequent content updates and community-driven feedback loops. DSA Master - Data & Algorithms remains in a maintenance-only posture, which leaves it exposed to more dynamic competitors that can better align with the rapid evolution of technical interview requirements.

- 🔴 The current 79-day release gap suggests a maintenance-only posture, which limits the platform's ability to adapt to shifting technical interview standards.
- ⚪ The reliance on ad-supported monetization without a premium tier limits revenue potential, forcing a volume-based strategy that requires constant user acquisition.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 4.2/5 |
| Total Reviews | 35 |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | iOS |
| Key Features | 3 analyzed |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **DSA Master - Data & Algorithms** (this app) | 4.2/5 | N/A | Alok Singh |
| [ALPA: Lernspiele für Kinder](https://marlvel.ai/apps/alpa-lernspiele-fur-kinder) | N/A/5 | N/A | ALPA Kids OU |
| [ATPdigital (Legacy)](https://marlvel.ai/apps/atpdigital-legacy) | 2.0/5 | n/a | Bristol Groundschool International Ltd |
| [Catbus Student](https://marlvel.ai/apps/catbus-student) | 4.3/5 | N/A | Cohota Join Stock Company |
| [Chinese Tibetan Dictionary](https://marlvel.ai/apps/chinese-tibetan-dictionary) | 5.0/5 | Thrilled | Lobsang Monlam16922404891 |
| [Legasthenie & LRS Trainer](https://marlvel.ai/apps/legasthenie-lrs-trainer) | N/A/5 | N/A | Matthias Aigner |

## Company Profile
- **Developer:** Alok Singh
- **Website:** [https://bestlatestapps.com/apps/dsa-master/](https://bestlatestapps.com/apps/dsa-master/)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/dsa-master-data-algorithms/id1672776683?uo=4)
- **Dev Site:** [Official Website](https://bestlatestapps.com/apps/dsa-master/)
- **Sources:** Developer website content, About us / company information, App store metadata.

## Related Intel Reports
- [*ALPA: Lernspiele für Kinder*](https://marlvel.ai/apps/alpa-lernspiele-fur-kinder) (ALPA Kids OU) · N/A Rating
- [*ATPdigital (Legacy)*](https://marlvel.ai/apps/atpdigital-legacy) (Bristol Groundschool International Ltd) · 2.0/5 Rating
- [*Catbus Student*](https://marlvel.ai/apps/catbus-student) (Cohota Join Stock Company) · 4.3/5 Rating
- [*Chinese Tibetan Dictionary*](https://marlvel.ai/apps/chinese-tibetan-dictionary) (Lobsang Monlam16922404891) · 5.0/5 Rating | Excellent Sentiment
- [*Legasthenie & LRS Trainer*](https://marlvel.ai/apps/legasthenie-lrs-trainer) (Matthias Aigner) · N/A Rating
- [*Lyceum Leaf Parent*](https://marlvel.ai/apps/lyceum-leaf-parent) (Techcess Business Solutions (Pvt) Ltd) · N/A Rating
- [*Money Matrix (CAD)*](https://marlvel.ai/apps/money-matrix-cad) (Blooming Kids Software LLC) · 5.0/5 Rating
- [*myTibetan*](https://marlvel.ai/apps/mytibetan) (Yury Nevalenny) · 4.8/5 Rating | Excellent Sentiment
- [*Quran Treasure Island for Kids*](https://marlvel.ai/apps/quran-treasure-island-for-kids) (Akeela Manekia) · 4.9/5 Rating
- [*Sudoku - Number Puzzle Pro*](https://marlvel.ai/apps/sudoku-number-puzzle-pro) (阳理 江) · N/A Rating

## Frequently Asked Questions {#faq}

### Is DSA Master - Data & Algorithms suitable for beginners?

Yes, the app provides a structured learning path from beginner to expert, covering 50+ data structures and algorithms with interactive visualizations.

### Does DSA Master - Data & Algorithms work offline?

Yes, the app supports offline access, allowing users to study the content library anywhere without an active internet connection.

### What programming languages are supported in the code playground?

The app supports Python, JavaScript, Java, C++, Kotlin, Dart, and Go for writing, editing, and executing code.

## Methodology {#methodology}

This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline:

1. **Signal Collection & Normalization** - Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps.
2. **Feature & Market Positioning Analysis** - Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks.
3. **User Sentiment Analysis** - Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction into synthesised themes (no verbatim quotes).
4. **Competitive Landscape Analysis** - Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category.
5. **Intelligence Synthesis** - Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights.

- **Confidence Score:** 0.3/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** developer website, company about page, App Store metadata
- **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform
- **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence.
- **Report Age:** 6 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/dsa-master-data-algorithms)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.