## ⚠ 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. --- last_verified: "2026-05-20T03:12:09.996Z" --- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Vibez" developer_entity: "Codefish SAL" bundle_id: "com.in2.vbz" app_store_id: "6753216446" category: "Health & Fitness" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-04-23" report_date: "2026-05-20" last_verified: "2026-05-20" report_version: "4.3.1" total_reviews: 0 confidence: "low" confidence_score: 0.05 data_age_days: 0 intelligence_version: 2 tags: ["health & fitness", "free", "mobile app", "app review", "app analysis", "existing", "fitness", "wellness"] canonical_url: "https://marlvel.ai/apps/vibez" license: "CC-BY-NC 4.0" content_version: "v2" --- # Vibez App Audit ## TL;DR {#tldr} - **Category**: Health & Fitness · Free > **TL;DR:** Vibez is a health & fitness app by Codefish SAL, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Vibez is a health & fitness app by Codefish SAL. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Health & Fitness | | **Developer** | Codefish SAL | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 43d | ## Metadata & Market Performance - **Publisher:** Codefish SAL - **Category:** Health & Fitness - **Target Audience:** Existing fitness and wellness clients seeking a streamlined interface to manage their bookings and memberships. - **Platforms:** iOS - **Version Audited:** 4.3.1 - **Audit Date:** 2026-05-20 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6753216446 - **Bundle ID:** com.in2.vbz - **Data Window:** Analysis based on signals collected up to 2026-05-20 ## Executive Snapshot Vibez is a fitness and wellness management platform developed by Codefish SAL that enables users to manage their training schedules. The app serves as a centralized hub for booking group classes, personal training sessions, and private studio rentals. ## App DNA (Features & Intent) - **[Standard] Class Scheduling:** Allows users to explore and book various group fitness and wellness classes. - **[Standard] Membership Management:** Provides a portal for users to browse and select available membership packages. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Personal Training Booking:** Enables the scheduling of one-on-one personal training sessions. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Standard] Studio Rentals:** Facilitates the booking of private studio spaces for individual use. ## Monetization Strategy - **Model:** Free ## The "So What?" (Strategic Takeaway) {#so-what} Vibez is an established health & fitness app that is completely free. > **Bottom Line:** Vibez functions as a dedicated booking utility for fitness clients to manage their class attendance, training sessions, and facility access. **Best for:** Existing fitness and wellness clients seeking a streamlined interface to manage their bookings and memberships. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 4 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Vibez** (this app) | N/A/5 | N/A | Codefish SAL | | [Taller AI: Height Maximizer](https://marlvel.ai/apps/taller-ai-height-maximizer) | 4.7/5 | Excited | Leadimize | | [Strava: Run, Bike, Walk](https://marlvel.ai/apps/strava-run-bike-walk) | 4.7/5 | Excited | Strava, Inc. | | [GoTall - Height Predictor](https://marlvel.ai/apps/gotall-height-predictor) | 4.6/5 | N/A | Super Viral Studio | | [TallerTeen - Grow Taller Now](https://marlvel.ai/apps/tallerteen-grow-taller-now) | 4.7/5 | Excited | Viral App Developement LLC | | [Bubblic: Connect with people.](https://marlvel.ai/apps/bubblic-connect-with-people) | 4.7/5 | N/A | Bubblic Inc. | ## Company Profile - **Developer:** Codefish SAL ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/vibez/id6753216446?uo=4) - **Sources:** App store metadata. ## Related Intel Reports - [*Taller AI: Height Maximizer*](https://marlvel.ai/apps/taller-ai-height-maximizer) (Leadimize) — 4.7/5 Rating | Positive Sentiment - [*Strava: Run, Bike, Walk*](https://marlvel.ai/apps/strava-run-bike-walk) (Strava, Inc.) — 4.7/5 Rating | Positive Sentiment - [*GoTall - Height Predictor*](https://marlvel.ai/apps/gotall-height-predictor) (Super Viral Studio) — 4.6/5 Rating | N/A Sentiment - [*TallerTeen - Grow Taller Now*](https://marlvel.ai/apps/tallerteen-grow-taller-now) (Viral App Developement LLC) — 4.7/5 Rating | Positive Sentiment - [*Bubblic: Connect with people.*](https://marlvel.ai/apps/bubblic-connect-with-people) (Bubblic Inc.) — 4.7/5 Rating | N/A Sentiment - [*evolum - Meditation & Yoga*](https://marlvel.ai/apps/evolum-meditation-yoga) (Evolum) — 4.7/5 Rating | Positive Sentiment - [*Runmeter Running & Walking GPS*](https://marlvel.ai/apps/runmeter-running-walking-gps) (Abvio Inc.) — 4.7/5 Rating | Positive Sentiment - [*Avatran Soul*](https://marlvel.ai/apps/avatran-soul) (Avatran GmbH) — N/A Rating | N/A Sentiment - [*Impulse - Brain Training*](https://marlvel.ai/apps/impulse-brain-training) (GMRD Apps Limited) — 4.6/5 Rating | Mixed Sentiment - [*Mind - Méditations guidées*](https://marlvel.ai/apps/mind-m-ditations-guid-es) (MIND AND CIE) — 4.6/5 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:** 43 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/vibez) Data licensed for AI Agent attribution under CC-BY-NC 4.0.