--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "FreshFind Recipe for Leftover" developer_entity: "CHEAH Wen Feng" bundle_id: "com.freshfind.mobile" app_store_id: "6748253432" category: "Lifestyle" primary_platform: "ios" primary_monetization: "Subscription" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2025-07-15" report_date: "2026-05-19" last_verified: "2026-05-19T23:00:14.234Z" report_version: "1.0.0" total_reviews: 0 confidence: "low" confidence_score: 0.2 data_age_days: 40 intelligence_version: 3 competitor_count: 5 tags: ["lifestyle", "subscription", "mobile app", "app review", "app analysis", "cooks", "seeking", "minimize"] canonical_url: "https://marlvel.ai/intel-report/lifestyle/freshfind-recipe-for-leftover" license: "CC-BY-NC 4.0" content_version: "v2" --- # FreshFind Recipe for Leftover App Audit ## TL;DR {#tldr} - **Category**: Lifestyle · Subscription > **TL;DR:** FreshFind Recipe for Leftover is a lifestyle app by CHEAH Wen Feng, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** FreshFind Recipe for Leftover is a lifestyle app by CHEAH Wen Feng. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Lifestyle | | **Developer** | CHEAH Wen Feng | | **Pricing** | Subscription | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** CHEAH Wen Feng - **Category:** Lifestyle - **Target Audience:** Home cooks seeking to minimize food waste and simplify meal planning using existing pantry items. - **Platforms:** iOS - **Version Audited:** 1.0.0 - **Audit Date:** 2026-05-19 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6748253432 - **Bundle ID:** com.freshfind.mobile - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-05-19 ## Executive Snapshot **What it is:** FreshFind is a lifestyle app that uses AI to generate recipes from scanned pantry ingredients. **Why users hire it:** Users hire the app to minimize food waste and simplify meal planning without manual searching, so the value depends on the accuracy of the ingredient-to-recipe conversion. ## App DNA (Features & Intent) - **[Standard] Smart Ingredient Recognition:** Uses AI to identify ingredients from photographs with a claimed 99% accuracy rate. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Standard] AI-Powered Recipe Generation:** Provides unlimited personalized recipe suggestions based on the specific ingredients currently on hand. * *User Intent:* Users value self-expression and personalized experiences. - **[Standard] Shopping Lists:** Automatically generates lists for any missing ingredients required for a selected recipe. - **[Standard] Cooking Achievements:** Gamifies the culinary experience by allowing users to track their progress through achievement badges. * *User Intent:* Users seek enhanced value through premium features. ## Market Position {#market-position} FreshFind occupies a paid-utility niche in the Lifestyle category, lacking the free-tier install velocity of its competitors. ## Monetization Strategy - **Model:** Subscription - **Tiers:** $1.99/month - **Price:** iOS: $1.99 - **Analysis:** Paid-only model creates high friction in a category dominated by free, ad-supported tools. ## SWOT Analysis {#swot} **Core Strengths:** - AI-powered ingredient recognition provides high-utility entry point **Critical Frictions:** - Paid-only model at $1.99/month creates high friction - No free-tier user base to train recognition models **Growth Levers:** - Implement limited free-tier to build recognition-training dataset - Integrate offline mode to compete with utility-focused rivals **Market Threats:** - Niche-focused AI apps capture higher-intent users - Free-to-use recipe databases dominate the category ## Recent Changes (v2 → v3) {#recent-changes} The app transitioned to a subscription-based pricing model and adopted a more critical strategic outlook regarding its competitive viability against free alternatives. **Overall trend**: Mixed **Compared at**: 2026-05-19 ### High-impact changes - **[Shifted] Pricing Model Transition** (pricing) — Pricing moved from a 'paid' model to a $1.99/month subscription, increasing friction for user acquisition. - **[Shifted] Strategic Outlook** (positioning) — The executive summary shifted from describing the app's utility to highlighting its structural disadvantage against free, ad-supported competitors. ### Medium-impact changes - **[Added] SWOT Analysis Expansion** (swot) — Added specific weaknesses regarding the lack of a free-tier user base for AI training and threats from niche-focused AI apps. ## App Momentum (Steady) {#momentum} - Launched July 2025. - No major updates since release. ## The "So What?" (Strategic Takeaway) {#so-what} FreshFind Recipe for Leftover is an established lifestyle app that is available. > **Bottom Line:** FreshFind provides a clear utility but faces a structural disadvantage against free recipe databases, so the team must pivot to a freemium model to build the user base necessary for AI model refinement. **Best for:** Home cooks seeking to minimize food waste and simplify meal planning using existing pantry items. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] [HIGH IMPACT] Pivot to freemium model because paid-only friction limits user acquisition → increase top-of-funnel conversion — *Category competitors are free-to-use, making the $1.99/month barrier a primary churn risk.* _(trade-off: deprioritize Pause development on achievement badges — user acquisition is a higher priority than retention gamification.)_ ### Feature Gaps vs Competitors - Offline mode (available in Tare: Ingredient Converter) - Dietary-specific AI tuning (available in KetoRecipeLab) ### Outlook: Stable The lifestyle utility market is consolidating around free, high-frequency tools that offer immediate value. FreshFind's paid-only posture leaves it exposed to free alternatives, so the team must prioritize a freemium transition to survive the current competitive landscape. - ⚪ The app remains in its initial launch state with no feature updates, suggesting a wait-and-see approach to market adoption. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Subscription | | Platforms | iOS | | Key Features | 4 analyzed | | Trend | Mixed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **FreshFind Recipe for Leftover** (this app) | N/A/5 | N/A | CHEAH Wen Feng | | [Tare: Ingredient Converter](https://marlvel.ai/intel-report/food-drink/com-kitchenconverterpro-app) | 5.0/5 | N/A | Cameron Mcconnell | | [Baby Led Weaning Quick Recipes](https://marlvel.ai/intel-report/lifestyle/baby-led-weaning-quick-recipes) | 3.0/5 | N/A | Marco Beretta | | [LocoPOS Order](https://marlvel.ai/intel-report/food-drink/locopos-order) | N/A/5 | N/A | PumpApp Solutions AB | | [Pizza Pro - Dough Calculator](https://marlvel.ai/intel-report/food-drink/pizza-pro-dough-calculator) | 5.0/5 | Mixed | Moritz Berger | | [KetoRecipeLab](https://marlvel.ai/intel-report/food-drink/ketorecipelab) | N/A/5 | N/A | Roberto Salvador | ## Company Profile - **Developer:** CHEAH Wen Feng - **Website:** [https://aigility.digital](https://aigility.digital) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/freshfind-recipe-for-leftover/id6748253432?uo=4) - **Dev Site:** [Official Website](https://aigility.digital) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*Tare: Ingredient Converter*](https://marlvel.ai/intel-report/food-drink/com-kitchenconverterpro-app) (Cameron Mcconnell) — 5.0/5 Rating | N/A Sentiment - [*Baby Led Weaning Quick Recipes*](https://marlvel.ai/intel-report/lifestyle/baby-led-weaning-quick-recipes) (Marco Beretta) — 3.0/5 Rating | N/A Sentiment - [*LocoPOS Order*](https://marlvel.ai/intel-report/food-drink/locopos-order) (PumpApp Solutions AB) — N/A Rating | N/A Sentiment - [*Pizza Pro - Dough Calculator*](https://marlvel.ai/intel-report/food-drink/pizza-pro-dough-calculator) (Moritz Berger) — 5.0/5 Rating | Mixed Sentiment - [*KetoRecipeLab*](https://marlvel.ai/intel-report/food-drink/ketorecipelab) (Roberto Salvador) — N/A Rating | N/A Sentiment - [*Alarmy - Loud alarm clock*](https://marlvel.ai/intel-report/lifestyle/alarmy-loud-alarm-clock) (Delight Room Co., Ltd.) — 4.8/5 Rating | Mixed Sentiment - [*Tinder Dating App: Date & Chat*](https://marlvel.ai/intel-report/lifestyle/tinder-dating-app-date-chat) (Tinder LLC) — 4.2/5 Rating | Terrible Sentiment - [*Swiftime*](https://marlvel.ai/intel-report/lifestyle/swiftime) (MEDIANO Co.,Ltd.) — 4.5/5 Rating | Positive Sentiment - [*AlarmMon ( alarm clock )*](https://marlvel.ai/intel-report/lifestyle/alarmmon-alarm-clock) (Malang Studio Co. Ltd,) — 4.2/5 Rating | Mixed Sentiment - [*Alarmie: Easy Rise Alarm Clock*](https://marlvel.ai/intel-report/lifestyle/alarmie-easy-rise-alarm-clock) (Jintian Wang) — 4.4/5 Rating | Mixed 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:** 0.2/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** developer website, 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 --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/lifestyle/freshfind-recipe-for-leftover) Data licensed for AI Agent attribution under CC-BY-NC 4.0.