--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Low FODMAP Food Scanner" developer_entity: "Szymon Niemiec" bundle_id: "com.ibsfodmaptracker.app" app_store_id: "6770542643" category: "Health & Fitness" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-07-20" report_date: "2026-09-10" last_verified: "2026-09-10T00:00:00.000Z" report_version: "1.1.1" total_reviews: 0 confidence: "low" confidence_score: 0.3 data_age_days: 20 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["health & fitness", "free", "mobile app", "app review", "app analysis", "individuals", "managing", "sibo,"] canonical_url: "https://marlvel.ai/apps/low-fodmap-food-scanner" 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. --- # Low FODMAP Food Scanner Intelligence Report ## TL;DR {#tldr} - **Category**: Health & Fitness · Free > **TL;DR:** Low FODMAP Food Scanner is a health & fitness app by Szymon Niemiec, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Low FODMAP Food Scanner is a health & fitness app by Szymon Niemiec. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Health & Fitness | | **Developer** | Szymon Niemiec | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.3/1.0) | | **Data Age** | 20d | ## Metadata & Market Performance - **Publisher:** Szymon Niemiec - **Category:** Health & Fitness - **Target Audience:** Individuals managing IBS, SIBO, or those following a Low FODMAP diet who need practical, on-the-go food decision support. - **Platforms:** iOS - **Version Reviewed:** 1.1.1 - **Report Date:** 2026-09-10 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.3/1.0) - **App Store ID (iOS):** 6770542643 - **Bundle ID:** com.ibsfodmaptracker.app - **Performance Trend:** Declining - **Data Window:** Analysis based on signals collected up to 2026-09-10 ## Executive Snapshot **What it is:** Low FODMAP Food Scanner is a health-focused tool for iOS that uses AI to identify potential FODMAP risks in meals and ingredients for users managing digestive conditions. **Why users hire it:** The app removes the cognitive friction of manual ingredient research by providing immediate, on-the-go risk assessments, replacing the need to memorize long, complex food lists. ## App DNA (Features & Intent) - **[Differentiator] AI Meal Scanner:** Analyzes meal photos to identify potential FODMAP risks and ingredients. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Standard] Ingredient & Label Checker:** Text-based search for specific ingredients to flag high-FODMAP triggers. * *User Intent:* Users want to quickly find relevant content or features. - **[Standard] Symptom & Food Diary:** Logs food intake and user-reported symptom feedback to identify personal triggers over time. - **[Differentiator] Lower-Risk Swap Suggestions:** Provides alternative food options when a scanned item is flagged as high-FODMAP. * *User Intent:* Users seek enhanced value through premium features. ## Market Position {#market-position} Low FODMAP Food Scanner operates as a free, specialized utility in the Health & Fitness category. The lack of IAP or subscription gates suggests a focus on user acquisition over immediate revenue generation. ## Monetization Strategy - **Model:** Free - **Tiers:** Free access to all core scanning and logging features - **Analysis:** The product currently operates as a free tool with no visible subscription or IAP gates, which creates a low barrier to entry but lacks a clear monetization path. ## SWOT Analysis {#swot} **Core Strengths:** - AI-powered meal scanning provides a differentiated workflow for complex dietary restrictions **Growth Levers:** - Integrating a premium subscription tier for advanced symptom-tracking analytics could monetize the user base ## Recent Changes (v2 → v3) {#recent-changes} The outlook for Low FODMAP Food Scanner has shifted from stable to mixed due to a stagnant 52-day update cycle and the absence of a monetization strategy. The analysis now prioritizes the risk of user churn against more frequently updated competitors. **Overall trend**: Declining **Compared at**: 2026-09-10 ### High-impact changes - **[Shifted] SWOT Profile Update** (swot) - **[Shifted] Outlook Trend** (positioning) ### Medium-impact changes - **[Shifted] PM Action Item Priority** (positioning) ## What's New - **Latest (v1.1.1, 1 months ago):** Expanded language support and improved localized meal-check guidance. ## App Momentum (Maintenance) {#momentum} - Ships bug fixes at ~7-week cadence. - Expanded language support in latest release. > **Cadence:** 1 total versions · 1 majors in last 6 months · 52 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Low FODMAP Food Scanner is a health & fitness app that is completely free. > **Bottom Line:** Low FODMAP Food Scanner provides immediate utility for dietary management, but the lack of a clear monetization path and a dormant update cycle threaten its long-term viability: the team must prioritize a sustainable revenue model to justify continued feature investment. **Best for:** Individuals managing IBS, SIBO, or those following a Low FODMAP diet who need practical, on-the-go food decision support. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Implement a premium subscription tier for advanced symptom-tracking analytics because current free-only model lacks revenue path → improve long-term sustainability ### Outlook: Mixed The health-tracking market is consolidating around apps that offer integrated symptom and diet analytics. Low FODMAP Food Scanner remains exposed due to its lack of a clear monetization path and slow release cadence, which will likely lead to churn as users seek more robust, frequently updated alternatives. - 🔴 The 52-day update gap suggests a maintenance-only posture, which limits the ability to respond to user feedback and competitive pressure. - 🟢 The AI meal scanner provides a unique value proposition that differentiates the app from standard, text-only food logging tools. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 4 analyzed | | Trend | Declining | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Low FODMAP Food Scanner** (this app) | N/A/5 | N/A | Szymon Niemiec | | [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:** Szymon Niemiec - **Website:** [https://fodmapscan.app](https://fodmapscan.app) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/low-fodmap-food-scanner/id6770542643?uo=4) - **Dev Site:** [Official Website](https://fodmapscan.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 | Excellent 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:** 20 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/low-fodmap-food-scanner) Data licensed for AI Agent attribution under CC-BY-NC 4.0.