---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Old School Watch Face"
developer_entity: "Time Design LLC"
bundle_id: "com.alexeymorozua.oldschool"
category: "Personalization"
primary_platform: "android"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "Android"
app_last_updated: "2025-12-04"
report_date: "2026-05-19"
last_verified: "2026-05-19T15:13:12.745Z"
report_version: "VARY"
total_reviews: 1273
overall_rating: 4.6
confidence: "low"
confidence_score: 0.05
data_age_days: 1
intelligence_version: 2
tags: ["personalization", "free", "mobile app", "app review", "app analysis", "users", "smartwatches", "prefer"]
canonical_url: "https://marlvel.ai/intel-report/personalization/com-alexeymorozua-oldschool"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Old School Watch Face App Audit

## TL;DR {#tldr}

- **Category**: Personalization · Free
- **Signal**: Rating 4.6

> **TL;DR:** Old School Watch Face is a personalization app by Time Design LLC, rated 4.6/5 by 1.3K users, available on Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Old School Watch Face is a personalization app by Time Design LLC.
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## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 4.6/5 (1.3K reviews) |
| **Category** | Personalization |
| **Developer** | Time Design LLC |
| **Pricing** | Free |
| **Platforms** | Android |
| **Confidence** | Low (0.05/1.0) |
| **Data Age** | 0d |

## Metadata & Market Performance
- **Publisher:** Time Design LLC
- **Category:** Personalization
- **Target Audience:** Users of Wear OS smartwatches who prefer classic, minimalist analog watch face designs.
- **Platforms:** Android
- **Version Audited:** VARY
- **Audit Date:** 2026-05-19
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.05/1.0)
- **Google Play ID:** com.alexeymorozua.oldschool
- **Data Window:** Analysis based on signals collected up to 2026-05-19
- **Short Description:** Old School: analog watch face for Galaxy Watch & Wear OS

<!-- section:executive-snapshot -->
## Executive Snapshot
Old School Watch Face is a Wear OS personalization app that provides a traditional analog aesthetic for modern smartwatches. It offers essential utility through integrated calendar and battery monitoring while maintaining a minimalist retro design.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Analog Time Display:** Provides a traditional analog clock interface for a retro visual experience.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Standard] Full Calendar Integration:** Displays calendar information directly on the watch face for quick scheduling reference.
- **[Standard] Battery Level Indicator:** Shows the current battery percentage to help users monitor device power status.
- **[Standard] Always-On Display (AOD) Support:** Optimized for Wear OS devices to ensure the watch face remains visible in low-power mode.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
<!-- /section:features -->

## Monetization Strategy
- **Model:** Free

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

Old School Watch Face is an established personalization app that is completely free.
With a 4.6/5 rating from 1.3K reviews, it shows polarized user reception.

<!-- speakable-start -->
> **Bottom Line:** This is a specialized, free personalization tool designed to bring a classic analog look to modern Wear OS smartwatches.
<!-- speakable-end -->

**Best for:** Users of Wear OS smartwatches who prefer classic, minimalist analog watch face designs.

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

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

| Metric | Value |
| :--- | :--- |
| Overall Rating | 4.6/5 |
| Total Reviews | 1.3K |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | Android |
| Key Features | 4 analyzed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Old School Watch Face** (this app) | 4.6/5 | N/A | Time Design LLC |
| [Purple Pixl Glass Icon Pack](https://marlvel.ai/intel-report/personalization/purple-pixl-glass-icon-pack) | N/A/5 | N/A | illMatic |
| [Pink Pixl Glass Icon Pack](https://marlvel.ai/intel-report/personalization/pink-pixl-glass-icon-pack) | N/A/5 | N/A | illMatic |
| [Themes for Telegram](https://marlvel.ai/intel-report/personalization/themes-for-telegram) | 4.0/5 | N/A | rafalense |
| [Dx Black Colorful Icon Pack](https://marlvel.ai/intel-report/personalization/dx-black-colorful-icon-pack) | N/A/5 | N/A | illMatic |
| [Colorful Icon Pack](https://marlvel.ai/intel-report/personalization/colorful-icon-pack) | N/A/5 | N/A | illMatic |

## Company Profile
- **Developer:** Time Design LLC
- **Website:** [https://time-design.web.app/time_design.html](https://time-design.web.app/time_design.html)

## Data Sources & Links
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.alexeymorozua.oldschool)
- **Dev Site:** [Official Website](https://time-design.web.app/time_design.html)
- **Sources:** App store metadata.

## Related Intel Reports
- [*Purple Pixl Glass Icon Pack*](https://marlvel.ai/intel-report/personalization/purple-pixl-glass-icon-pack) (illMatic) — N/A Rating | N/A Sentiment
- [*Pink Pixl Glass Icon Pack*](https://marlvel.ai/intel-report/personalization/pink-pixl-glass-icon-pack) (illMatic) — N/A Rating | N/A Sentiment
- [*Themes for Telegram*](https://marlvel.ai/intel-report/personalization/themes-for-telegram) (rafalense) — 4.0/5 Rating | N/A Sentiment
- [*Dx Black Colorful Icon Pack*](https://marlvel.ai/intel-report/personalization/dx-black-colorful-icon-pack) (illMatic) — N/A Rating | N/A Sentiment
- [*Colorful Icon Pack*](https://marlvel.ai/intel-report/personalization/colorful-icon-pack) (illMatic) — N/A Rating | N/A Sentiment
- [*[공식] 대한민국 대통령실 디지털굿즈 : 4*](https://marlvel.ai/intel-report/personalization/app-4-2) (TIMEFLIK) — 4.9/5 Rating | N/A Sentiment
- [*Apel Wallpaper*](https://marlvel.ai/intel-report/personalization/apel-wallpaper) (Sweeteev) — N/A Rating | N/A Sentiment
- [*Camelia Wallpaper*](https://marlvel.ai/intel-report/personalization/camelia-wallpaper) (Sweeteev) — N/A Rating | N/A Sentiment
- [*Watch Faces App for Wear OS*](https://marlvel.ai/intel-report/personalization/com-alexeymorozua-splittimeface) (Time Design LLC) — 4.5/5 Rating | N/A Sentiment
- [*Rosely Wallpaper: Black & Gold*](https://marlvel.ai/intel-report/personalization/rosely-wallpaper-black-gold) (QkyGames) — N/A Rating | N/A Sentiment

## 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 and evidence quoting.
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:** 0.05/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** 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:** 0 days since last refresh

---
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Data licensed for AI Agent attribution under CC-BY-NC 4.0.