--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Wave Forecast" developer_entity: "Paulo Cavalcante de Oliveira" bundle_id: "com.withayon.ayonwave" app_store_id: "6758465517" category: "Weather" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-04-11" report_date: "2026-05-04" report_version: "2.6" total_reviews: 2 overall_rating: 5 confidence: "low" confidence_score: 0.05 data_age_days: 59 intelligence_version: 2 tags: ["weather", "free", "mobile app", "app review", "app analysis", "targets", "beginner", "experienced"] canonical_url: "https://marlvel.ai/apps/wave-forecast" license: "CC-BY-NC 4.0" content_version: "v2" last_verified: "2026-05-04T07:50:27.739Z" --- # Wave Forecast App Audit ## TL;DR {#tldr} - **Category**: Weather · Free - **Signal**: Rating 5 > **TL;DR:** Wave Forecast is a weather app by Paulo Cavalcante de Oliveira, rated 5/5 by 2 users, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Wave Forecast is a weather app by Paulo Cavalcante de Oliveira. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 5/5 (2 reviews) | | **Category** | Weather | | **Developer** | Paulo Cavalcante de Oliveira | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 59d | ## Metadata & Market Performance - **Publisher:** Paulo Cavalcante de Oliveira - **Category:** Weather - **Target Audience:** The app targets both beginner and experienced surfers seeking to understand local ocean conditions before heading out. - **Platforms:** iOS - **Version Audited:** 2.6 - **Audit Date:** 2026-05-04 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6758465517 - **Bundle ID:** com.withayon.ayonwave - **Data Window:** Analysis based on signals collected up to 2026-05-04 ## Executive Snapshot Wave Forecast is a surf-focused weather application that translates complex ocean data into actionable insights for surfers. It prioritizes clarity by converting raw meteorological charts into surf-specific quality ratings and condition explanations to aid session planning. ## App DNA (Features & Intent) - **[Standard] Surf Condition Ratings:** Provides daily quality explanations and ratings to help users interpret wave height, period, and direction. * *User Intent:* Users are motivated by consistent progression and daily incentives. - **[Standard] Seven-Day Forecast Timeline:** Offers a week-long outlook on swell, wind, and tide trends to assist in long-term session planning. - **[Standard] Skill-Level Customization:** Allows users to tailor the app experience to match their specific surfing proficiency. * *User Intent:* Users value self-expression and personalized experiences. - **[Standard] Favorable Condition Alerts:** Notifies users when ocean conditions align with their preferred surfing criteria. * *User Intent:* Users want timely prompts to stay engaged without missing updates. ## Monetization Strategy - **Model:** Free ## The "So What?" (Strategic Takeaway) {#so-what} Wave Forecast is an established weather app that is completely free. With a 5/5 rating from 2 reviews, it shows polarized user reception. > **Bottom Line:** Wave Forecast differentiates itself by focusing on educational, simplified data visualization rather than overwhelming users with raw weather metrics. **Best for:** The app targets both beginner and experienced surfers seeking to understand local ocean conditions before heading out. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 5/5 | | Total Reviews | 2 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 4 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Wave Forecast** (this app) | 5/5 | N/A | Paulo Cavalcante de Oliveira | | [KBZK Montana Weather](https://marlvel.ai/apps/kbzk-montana-weather) | 4.1/5 | N/A | E.W. Scripps Company | | [Poetic Weather](https://marlvel.ai/apps/poetic-weather) | 4.5/5 | N/A | Dor Pascal | | [WILX First Alert Weather](https://marlvel.ai/apps/com-gray-wilx-wilx-weather) | 4.7/5 | N/A | Gray Television Group, Inc. | | [NOAA Snow Live Weather](https://marlvel.ai/apps/noaa-snow-live-weather) | 3.0/5 | N/A | Andrea Bisegna | | [Ty: Storm & Tornado Tracker](https://marlvel.ai/apps/ty-storm-tornado-tracker) | 1.0/5 | N/A | PlatePal | ## Company Profile - **Developer:** Paulo Cavalcante de Oliveira - **Website:** [https://ayonecosystem.com/#products](https://ayonecosystem.com/#products) - **Social:** [Instagram](https://www.instagram.com/ayonwind) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/wave-forecast/id6758465517?uo=4) - **Dev Site:** [Official Website](https://ayonecosystem.com/#products) - **Sources:** App store metadata. ## Related Intel Reports - [*KBZK Montana Weather*](https://marlvel.ai/apps/kbzk-montana-weather) (E.W. Scripps Company) — 4.1/5 Rating | N/A Sentiment - [*Poetic Weather*](https://marlvel.ai/apps/poetic-weather) (Dor Pascal) — 4.5/5 Rating | N/A Sentiment - [*WILX First Alert Weather*](https://marlvel.ai/apps/com-gray-wilx-wilx-weather) (Gray Television Group, Inc.) — 4.7/5 Rating | N/A Sentiment - [*NOAA Snow Live Weather*](https://marlvel.ai/apps/noaa-snow-live-weather) (Andrea Bisegna) — 3.0/5 Rating | N/A Sentiment - [*Ty: Storm & Tornado Tracker*](https://marlvel.ai/apps/ty-storm-tornado-tracker) (PlatePal) — 1.0/5 Rating | N/A Sentiment - [*Weather Screen-Widget & Radar*](https://marlvel.ai/apps/weather-screen-widget-radar) (ideal app team) — 4.6/5 Rating | N/A Sentiment - [*The Fishing Forecast*](https://marlvel.ai/apps/com-the-fishing-forecast) (Roman Kadykov) — 4.7/5 Rating | N/A Sentiment - [*WAND Weather*](https://marlvel.ai/apps/wand-weather) (WDRB) — 3.7/5 Rating | N/A Sentiment - [*TempestOne Weather*](https://marlvel.ai/apps/tempestone-weather) (WeatherFlow) — 4.0/5 Rating | N/A Sentiment - [*14 days Weather*](https://marlvel.ai/apps/14-days-weather) (Tasmanic Editions) — 4.5/5 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:** 59 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/wave-forecast) Data licensed for AI Agent attribution under CC-BY-NC 4.0.