--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "EyeFit - Vision Training" developer_entity: "Furkan Yesiloglu" bundle_id: "com.furkan.eyefit" app_store_id: "6755917339" category: "Health & Fitness" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-08-06" report_date: "2026-08-08" last_verified: "2026-08-08T00:00:00.000Z" report_version: "1.10" total_reviews: 3 overall_rating: 5 confidence: "low" confidence_score: 0.3 data_age_days: 23 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["health & fitness", "freemium", "mobile app", "app review", "app analysis", "athletes,", "gamers,", "drivers,"] canonical_url: "https://marlvel.ai/apps/eyefit-vision-training" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (health). Information is aggregated from public sources for informational purposes only. This is not medical advice. Consult a qualified professional before acting on any information here. --- # EyeFit - Vision Training Intelligence Report ## TL;DR {#tldr} - **Category**: Health & Fitness · Freemium - **Signal**: Rating 5 > **TL;DR:** EyeFit - Vision Training is a health & fitness app by Furkan Yesiloglu, rated 5/5 by 3 users, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** EyeFit - Vision Training is a health & fitness app by Furkan Yesiloglu. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 5/5 (3 reviews) | | **Category** | Health & Fitness | | **Developer** | Furkan Yesiloglu | | **Pricing** | Freemium | | **Platforms** | iOS | | **Confidence** | Low (0.3/1.0) | | **Data Age** | 23d | ## Metadata & Market Performance - **Publisher:** Furkan Yesiloglu - **Category:** Health & Fitness - **Target Audience:** Athletes, gamers, drivers, and pilots seeking to improve reaction speed and peripheral visual awareness. - **Platforms:** iOS - **Version Reviewed:** 1.10 - **Report Date:** 2026-08-08 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.3/1.0) - **App Store ID (iOS):** 6755917339 - **Bundle ID:** com.furkan.eyefit - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-08-08 ## Executive Snapshot **What it is:** EyeFit is a vision-training app for athletes, gamers, and drivers, offering peripheral-awareness exercises on iOS. **Why users hire it:** Users hire EyeFit to improve reaction speed and visual field awareness for high-stakes activities like driving or esports. The app provides a measurable, data-backed training regimen that replaces subjective practice. ## App DNA (Features & Intent) - **[Differentiator] Multi-Object Tracking (MOT):** Simultaneous tracking of multiple moving targets; premium-tier gate drives conversion. * *User Intent:* Users seek enhanced value through premium features. - **[Differentiator] Road Focus Mode:** Driving simulation exercise; premium-tier gate acts as a conversion lever. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Performance Analytics:** Detailed tracking of accuracy and reaction time metrics; retention loop encourages daily usage. * *User Intent:* Users are motivated by consistent progression and daily incentives. ## Market Position {#market-position} EyeFit occupies a specialized niche within the Health & Fitness category, focusing on visual performance metrics rather than general health. The current 5-star rating across 3 reviews suggests high satisfaction among early adopters, though the limited sample size signals a need for broader user acquisition. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free tier with limited access, Premium tier with unlimited sessions and advanced difficulty - **Analysis:** Freemium model gates unlimited training and advanced difficulty levels behind a premium upgrade. ## SWOT Analysis {#swot} **Core Strengths:** - Data-driven performance tracking provides a clear value-add for professional-adjacent users. - Specialized training modes offer a distinct utility compared to general brain-training apps. **Growth Levers:** - B2B partnerships with driving schools or esports organizations could provide a stable distribution channel. - Integration with wearable devices could track real-world reaction improvements. ## Recent Changes (v2 → v3) {#recent-changes} The product strategy shifted from technical feature expansion (adaptive difficulty) to social-retention development (leaderboards) to address long-term user attrition. **Overall trend**: Mixed **Compared at**: 2026-08-08 ### High-impact changes - **[Shifted] Strategic Focus Shift** (swot) ### Medium-impact changes - **[Shifted] Competitive Outlook** (positioning) - **[Added] Social Retention Gap** (swot) ## What's New - **Latest (v1.10, 2 days ago):** Introduced exercise guides with rules, steps, and demos, plus added sound and haptic feedback. ## App Momentum (Maintenance) {#momentum} - Shipped instructional rules and demo steps. - Added sound and haptic feedback. > **Cadence:** 1 total versions · 1 majors in last 6 months · 2 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} EyeFit - Vision Training is a health & fitness app that is free with in-app purchases. It holds a 5/5 rating from 3 reviews. > **Bottom Line:** EyeFit delivers a focused, high-utility tool for visual training, but the current freemium gate is too thin to sustain long-term engagement, so the PM should prioritize adding a social or competitive leaderboard to drive daily active usage. **Best for:** Athletes, gamers, drivers, and pilots seeking to improve reaction speed and peripheral visual awareness. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship a competitive leaderboard because the current retention loop is purely individualistic → increase daily active usage ### Outlook: Stable The cognitive-training market is consolidating around apps with strong social-retention loops, leaving specialized tools like EyeFit exposed to churn. The current maintenance-mode update cadence is sufficient for stability, but the PM must pivot to social features to prevent user attrition as the initial novelty fades. - ⚪ The latest release focuses on UX improvements and haptic feedback, maintaining a maintenance cadence rather than aggressive feature expansion. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 5/5 | | Total Reviews | 3 | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Mixed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **EyeFit - Vision Training** (this app) | 5/5 | N/A | Furkan Yesiloglu | | [GoTall - Height Predictor](https://marlvel.ai/apps/gotall-height-predictor) | 4.6/5 | n/a | Grow Labs LLC | | [Mind - Méditations guidées](https://marlvel.ai/apps/mind-m-ditations-guid-es) | 4.6/5 | Excited | MIND AND CIE | | [Strava: Run, Bike, Walk](https://marlvel.ai/apps/strava-run-bike-walk) | 4.7/5 | n/a | Strava, Inc. | | [Taller AI: Height Maximizer](https://marlvel.ai/apps/taller-ai-height-maximizer) | 4.7/5 | Excited | Leadimize | | [TallerTeen - Grow Taller Now](https://marlvel.ai/apps/tallerteen-grow-taller-now) | 4.7/5 | n/a | Viral App Developement LLC | ## Company Profile - **Developer:** Furkan Yesiloglu - **Website:** [https://vision-trainer-409c2.web.app](https://vision-trainer-409c2.web.app) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/eyefit-vision-training/id6755917339?uo=4) - **Dev Site:** [Official Website](https://vision-trainer-409c2.web.app) - **Sources:** Developer website content, About us / company information, App store metadata. ## Related Intel Reports - [*GoTall - Height Predictor*](https://marlvel.ai/apps/gotall-height-predictor) (Grow Labs LLC) · 4.6/5 Rating - [*Mind - Méditations guidées*](https://marlvel.ai/apps/mind-m-ditations-guid-es) (MIND AND CIE) · 4.6/5 Rating | Positive Sentiment - [*Strava: Run, Bike, Walk*](https://marlvel.ai/apps/strava-run-bike-walk) (Strava, Inc.) · 4.7/5 Rating - [*Taller AI: Height Maximizer*](https://marlvel.ai/apps/taller-ai-height-maximizer) (Leadimize) · 4.7/5 Rating | Positive Sentiment - [*TallerTeen - Grow Taller Now*](https://marlvel.ai/apps/tallerteen-grow-taller-now) (Viral App Developement LLC) · 4.7/5 Rating - [*Activity Tracker・FitnessView*](https://marlvel.ai/apps/activity-tracker-fitnessview) (Funn Media, LLC) · 4.0/5 Rating - [*Avatran Soul*](https://marlvel.ai/apps/avatran-soul) (Avatran GmbH) · N/A Rating - [*Bubblic: Connect with people.*](https://marlvel.ai/apps/bubblic-connect-with-people) (Bubblic Inc.) · 4.6/5 Rating | Positive Sentiment - [*evolum - Meditation & Yoga*](https://marlvel.ai/apps/evolum-meditation-yoga) (Evolum) · 4.7/5 Rating | Positive Sentiment - [*Holoholo: Daily Memories*](https://marlvel.ai/apps/holoholo-daily-memories) (For Pedestrians LLC.) · 4.4/5 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:** 0.3/1.0 (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:** 23 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/eyefit-vision-training) Data licensed for AI Agent attribution under CC-BY-NC 4.0.