---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "SuperMem - Memory Training"
developer_entity: "Albert Kabirov"
bundle_id: "net.spellc.supermem"
app_store_id: "1451053450"
category: "Games"
primary_platform: "ios"
primary_monetization: "Paid"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2019-12-04"
report_date: "2026-08-07"
last_verified: "2026-08-07T00:00:00.000Z"
report_version: "4.3"
total_reviews: 0
confidence: "low"
confidence_score: 0.15
data_age_days: 31
momentum_velocity: "zombie"
intelligence_version: 3
tags: ["games", "paid", "mobile app", "app review", "app analysis", "individuals", "seeking", "cognitive"]
canonical_url: "https://marlvel.ai/apps/supermem-memory-training"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# SuperMem - Memory Training Intelligence Report

## TL;DR {#tldr}

- **Category**: Games · Paid

> **TL;DR:** SuperMem - Memory Training is a games app by Albert Kabirov, available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** SuperMem - Memory Training is a games app by Albert Kabirov.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Games |
| **Developer** | Albert Kabirov |
| **Pricing** | Paid |
| **Platforms** | iOS |
| **Confidence** | Low (0.15/1.0) |
| **Data Age** | 31d |

## Metadata & Market Performance
- **Publisher:** Albert Kabirov
- **Category:** Games
- **Target Audience:** Individuals seeking cognitive training, ranging from students looking to improve concentration to elderly users aiming to slow age-related memory decline.
- **Platforms:** iOS
- **Version Reviewed:** 4.3
- **Report Date:** 2026-08-07
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.15/1.0)
- **App Store ID (iOS):** 1451053450
- **Bundle ID:** net.spellc.supermem
- **Performance Trend:** Mixed
- **Data Window:** Analysis based on signals collected up to 2026-08-07

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** SuperMem is a grid-based memory training game for iOS users, designed to stimulate cognitive activity through treasure-themed recall tasks.
**Why users hire it:** Users hire the app to maintain cognitive tone and slow age-related memory decline without the recurring costs of subscription-based alternatives.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Treasure Chest Memory Game:** Grid-based memory task requiring users to memorize locations of gold-filled chests within a time limit.
- **[Standard] Difficulty Scaling:** Progressive increase in task complexity through reduced time limits and zero-error tolerance requirements.
  * *User Intent:* Users seek enhanced value through premium features.
<!-- /section:features -->

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

SuperMem occupies a legacy position in the Games category, having received no updates since 2019. The lack of recent activity makes it a static product in a category where competitors prioritize frequent content refreshes.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Paid
- **Tiers:** One-time purchase at $0.99
- **Price:** iOS: $0.99
- **Analysis:** Paid model at $0.99 provides full access without recurring subscription or ad-supported tiers.

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

**Core Strengths:**
- One-time purchase model lowers barrier to entry

**Growth Levers:**
- Modernization of UI for current accessibility standards


<!-- /section:swot -->
## Recent Changes (v2 → v3) {#recent-changes}

The intelligence report shifted from recommending a product sunset to proposing an active feature-parity audit and modernization strategy.

**Overall trend**: Mixed
**Compared at**: 2026-08-07

### High-impact changes
- **[Shifted] PM Action Item Strategy** (positioning)

### Medium-impact changes
- **[Added] New SWOT items** (swot)

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

- **Latest (v4.3, 6 years ago):** UI redesign and general bug fixes.
<!-- /section:whats-new -->

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

- No updates since December 2019.
- Maintenance-mode status for six years.

> **Cadence:** 1 total versions · 0 majors in last 6 months · 2437 days since last update

<!-- /section:momentum -->

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

SuperMem - Memory Training is a games app that is a paid app.

<!-- speakable-start -->
> **Bottom Line:** SuperMem serves a niche for one-time-purchase cognitive training, but the six-year update silence makes it a legacy product, so the PM should prioritize a feature-parity audit against current market leaders before considering a relaunch.
<!-- speakable-end -->

**Best for:** Individuals seeking cognitive training, ranging from students looking to improve concentration to elderly users aiming to slow age-related memory decline.

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

- [ ] [INVEST] Audit feature parity against current market leaders because the app has been silent for six years → determine viability of relaunch
<!-- /section:pm-actions -->

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

The cognitive training market is consolidating around subscription-based apps that offer frequent content updates and social features. SuperMem's static state leaves it exposed to churn as users migrate to platforms that provide ongoing value.

- 🔴 The six-year update silence indicates the app is in maintenance mode, which prevents it from competing with modern, frequently updated cognitive training tools.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Paid |
| Platforms | iOS |
| Key Features | 2 analyzed |
| Trend | Mixed |
| Outlook | Declining |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **SuperMem - Memory Training** (this app) | N/A/5 | N/A | Albert Kabirov |
| [Royal Match](https://marlvel.ai/apps/royal-match) | 4.7/5 | n/a | Dream Games |
| [Archero](https://marlvel.ai/apps/archero) | 4.5/5 | N/A | HABBY |
| [Bejeweled Blitz](https://marlvel.ai/apps/bejeweled-blitz) | 3.3/5 | n/a | PopCap |
| [Bingo Cash - Win Real Money](https://marlvel.ai/apps/bingo-cash) | 4.7/5 | Excited | Papaya Gaming |
| [Brawl Stars](https://marlvel.ai/apps/brawl-stars) | 4.5/5 | n/a | Supercell |

## Company Profile
- **Developer:** Albert Kabirov
- **Website:** [https://supermem.icu](https://supermem.icu)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/supermem-memory-training/id1451053450?uo=4)
- **Dev Site:** [Official Website](https://supermem.icu)
- **Sources:** Developer website content, App store metadata.

## Related Intel Reports
- [*Royal Match*](https://marlvel.ai/apps/royal-match) (Dream Games) · 4.7/5 Rating
- [*Archero*](https://marlvel.ai/apps/archero) (HABBY) · 4.5/5 Rating
- [*Bejeweled Blitz*](https://marlvel.ai/apps/bejeweled-blitz) (PopCap) · 3.3/5 Rating
- [*Bingo Cash - Win Real Money*](https://marlvel.ai/apps/bingo-cash) (Papaya Gaming) · 4.7/5 Rating | Positive Sentiment
- [*Brawl Stars*](https://marlvel.ai/apps/brawl-stars) (Supercell) · 4.5/5 Rating
- [*Hole.io*](https://marlvel.ai/apps/hole-io) (Voodoo) · 3.9/5 Rating
- [*Partymasters - Fun Idle Game*](https://marlvel.ai/apps/partymasters-fun-idle-game) (AI Games FZ) · 4.5/5 Rating | Positive Sentiment
- [*Temple Run*](https://marlvel.ai/apps/temple-run) (Imangi Studios, LLC) · 4.3/5 Rating
- [*YouRiding - Surf and Bodyboard*](https://marlvel.ai/apps/youriding-surf-and-bodyboard) (BoardScore, Inc.) · 4.2/5 Rating
- [*Agar.io*](https://marlvel.ai/apps/agar-io) (Miniclip.com) · 4.3/5 Rating

## 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:** 0.15/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** developer website, 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:** 31 days since last refresh

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