---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Most Common Hungarian Words"
developer_entity: "Dominik Gyecsek"
bundle_id: "com.chillnstudy.enhu"
app_store_id: "6448735471"
category: "Education"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2026-04-18"
report_date: "2026-05-19"
last_verified: "2026-05-19T21:43:29.555Z"
report_version: "5.9"
total_reviews: 0
confidence: "low"
confidence_score: 0.05
data_age_days: 44
momentum_velocity: "intense"
intelligence_version: 2
tags: ["education", "free", "mobile app", "app review", "app analysis", "language", "learners", "seeking"]
canonical_url: "https://marlvel.ai/apps/com-chillnstudy-enhu"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Most Common Hungarian Words App Audit

## TL;DR {#tldr}

- **Category**: Education · Free

> **TL;DR:** Most Common Hungarian Words is a education app by Dominik Gyecsek, available on iOS & Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Most Common Hungarian Words is a education app by Dominik Gyecsek.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Education |
| **Developer** | Dominik Gyecsek |
| **Pricing** | Free |
| **Platforms** | iOS & Android |
| **Confidence** | Low (0.05/1.0) |
| **Data Age** | 44d |

## Metadata & Market Performance
- **Publisher:** Dominik Gyecsek
- **Category:** Education
- **Target Audience:** Language learners seeking to build a foundational vocabulary in Hungarian for everyday communication.
- **Platforms:** iOS & Android
- **Version Audited:** 5.9
- **Audit Date:** 2026-05-19
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.05/1.0)
- **App Store ID (iOS):** 6448735471
- **Bundle ID:** com.chillnstudy.enhu
- **Google Play ID:** com.chillnstudy.enhu
- **Data Window:** Analysis based on signals collected up to 2026-05-19
- **Short Description:** Study the Most Common 3000 Words with Examples to Learn A1 A2 B1 B2 Hungarian

<!-- section:executive-snapshot -->
## Executive Snapshot
Most Common Hungarian Words is an educational tool designed to help users master the 3,000 most essential Hungarian words for daily conversation. The app leverages spaced repetition and extensive contextual examples to facilitate language acquisition, offering offline accessibility and cross-platform notifications.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Spaced Repetition System:** An automatic, flexible algorithm that schedules reviews based on previous performance and word status.
- **[Standard] Contextual Learning:** Provides 114,443 example sentences with audio pronunciations to demonstrate word usage.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Standard] Granular Filtering:** Allows users to organize study material by CEFR levels (A1-B2), over 100 topics, and specific parts of speech.
  * *User Intent:* Users want to quickly find relevant content or features.
- **[Standard] Passive Learning Integration:** Supports study sessions via lock screen notifications and smartwatch integration.
  * *User Intent:* Users want timely prompts to stay engaged without missing updates.
<!-- /section:features -->

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

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

Last updated 30d ago. 5 versions tracked.

> **Cadence:** 5 total versions · 0 majors in last 6 months · 30 days since last update

<!-- /section:momentum -->

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

Most Common Hungarian Words is an established education app that is completely free.

<!-- speakable-start -->
> **Bottom Line:** The app focuses on high-frequency vocabulary acquisition supported by a massive database of contextual examples and automated spaced repetition.
<!-- speakable-end -->

**Best for:** Language learners seeking to build a foundational vocabulary in Hungarian for everyday communication.

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

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

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Free |
| Platforms | iOS & Android |
| Key Features | 4 analyzed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Most Common Hungarian Words** (this app) | N/A/5 | N/A | Dominik Gyecsek |
| [AlgoApp - Flashcards](https://marlvel.ai/apps/algoapp-flashcards) | 4.6/5 | Frustrated | AlgoApp Inc |
| [Flashcards Deluxe](https://marlvel.ai/apps/flashcards-deluxe) | 4.5/5 | Excited | OrangeOrApple.com |
| [Flash Cards Flashcards Maker](https://marlvel.ai/apps/flash-cards-flashcards-maker) | 4.0/5 | Mixed | Infinite Wave Media, LLC |
| [Peak - Brain Training](https://marlvel.ai/apps/peak-brain-training) | 4.7/5 | Mixed | Synaptic Labs |
| [Flashcards maker - AI generate](https://marlvel.ai/apps/flashcards-maker-ai-generate) | 4.1/5 | Mixed | Teleprompter LLC |

## Company Profile
- **Developer:** Dominik Gyecsek
- **Website:** [https://mostcommonwords.app](https://mostcommonwords.app)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/pl/app/most-common-hungarian-words/id6448735471?uo=4)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.chillnstudy.enhu)
- **Dev Site:** [Official Website](https://mostcommonwords.app)
- **Sources:** App store metadata.

## Related Intel Reports
- [*AlgoApp - Flashcards*](https://marlvel.ai/apps/algoapp-flashcards) (AlgoApp Inc) — 4.6/5 Rating | Negative Sentiment
- [*Flashcards Deluxe*](https://marlvel.ai/apps/flashcards-deluxe) (OrangeOrApple.com) — 4.5/5 Rating | Positive Sentiment
- [*Flash Cards Flashcards Maker*](https://marlvel.ai/apps/flash-cards-flashcards-maker) (Infinite Wave Media, LLC) — 4.0/5 Rating | Mixed Sentiment
- [*Peak - Brain Training*](https://marlvel.ai/apps/peak-brain-training) (Synaptic Labs) — 4.7/5 Rating | Mixed Sentiment
- [*Flashcards maker - AI generate*](https://marlvel.ai/apps/flashcards-maker-ai-generate) (Teleprompter LLC) — 4.1/5 Rating | Mixed Sentiment
- [*Elevate - Brain Training Games*](https://marlvel.ai/apps/elevate-brain-training-games) (The Mind Company) — 4.7/5 Rating | Negative Sentiment
- [*Bible Memory*](https://marlvel.ai/apps/bible-memory) (Poimena) — 4.8/5 Rating | Excellent Sentiment
- [*Marshallese Translator*](https://marlvel.ai/apps/marshallese-translator) (World Language Translator) — 4.2/5 Rating | N/A Sentiment
- [*Learn Bird Watching—Larkwire*](https://marlvel.ai/apps/learn-bird-watching-larkwire) (Larkwire) — 4.8/5 Rating | N/A Sentiment
- [*Транспорт для детей в вопросах и ответах! Бесплатно*](https://marlvel.ai/apps/app--314) (DOG&FROG Educational preschool kids games for girls and boys, toddlers and babies) — 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:** 44 days since last refresh

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