--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "DinnerLoop: Meal Planner" developer_entity: "LearningGPT" bundle_id: "com.dinnerloop.app" app_store_id: "6798487883" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Subscription" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-08-14" report_date: "2026-11-01" last_verified: "2026-11-01T00:00:00.000Z" report_version: "1.0" total_reviews: 0 confidence: "low" confidence_score: 0.2 data_age_days: 14 momentum_velocity: "maintenance" intelligence_version: 2 tags: ["food & drink", "subscription", "mobile app", "app review", "app analysis", "families", "households", "looking"] canonical_url: "https://marlvel.ai/apps/dinnerloop-meal-planner" license: "CC-BY-NC 4.0" content_version: "v2" --- # DinnerLoop: Meal Planner Intelligence Report ## TL;DR {#tldr} - **Category**: Food & Drink · Subscription > **TL;DR:** DinnerLoop: Meal Planner is a food & drink app by LearningGPT, available on iOS & Android. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** DinnerLoop: Meal Planner is a food & drink app by LearningGPT. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Food & Drink | | **Developer** | LearningGPT | | **Pricing** | Subscription | | **Platforms** | iOS & Android | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 14d | ## Metadata & Market Performance - **Publisher:** LearningGPT - **Category:** Food & Drink - **Target Audience:** Families and households looking to reduce grocery spending and automate the weekly meal planning process. - **Platforms:** iOS & Android - **Version Reviewed:** 1.0 - **Report Date:** 2026-11-01 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6798487883 - **Bundle ID:** com.dinnerloop.app - **Google Play ID:** com.dinnerloop.app - **Data Window:** Analysis based on signals collected up to 2026-11-01 ## Executive Snapshot **What it is:** DinnerLoop is a subscription-based meal planning app for families that synchronizes shopping lists and meal preferences across household devices. **Why users hire it:** The app removes the cognitive load of nightly meal decisions and reduces grocery costs by automatically scheduling leftovers as ingredients for subsequent meals. ## App DNA (Features & Intent) - **[Differentiator] Leftover Chaining:** AI-driven planning that schedules leftovers as ingredients for future meals, reducing food waste and grocery spend. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Household Voting System:** Multi-user interface allowing family members to influence future meal rotations via thumbs-up or thumbs-down voting. - **[Standard] Consolidated Shopping List:** Auto-generated grocery list grouped by store section with live sync across family devices. * *User Intent:* Users expect seamless access across multiple devices. ## Market Position {#market-position} DinnerLoop occupies the household-utility segment of the Food & Drink category, anchored by a $9.99/month subscription. The lack of updates since the August 2026 launch suggests a static market position compared to more active category incumbents. ## Monetization Strategy - **Model:** Subscription - **Tiers:** 14-day free trial, $9.99/month, $95.99/year - **Analysis:** Subscription model anchored at $9.99/month, targeting the entire household under a single paid account. ## SWOT Analysis {#swot} **Core Strengths:** - Leftover-chaining logic reduces household food waste - Multi-user voting builds shared preference profiles **Growth Levers:** - Expand grocery price comparison to additional retailers ## What's New - **Latest (v1.0.0, 2 months ago):** Launched family meal planning with voting, aisle-grouped shopping lists, live Kroger pricing, and a vacation mode. ## App Momentum (Maintenance) {#momentum} - Launched public version in August 2026. - Inactive development for over two months. > **Cadence:** 2 total versions · 1 majors in last 6 months · 78 days since last update · 7 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} DinnerLoop: Meal Planner is a food & drink app. > **Bottom Line:** DinnerLoop's leftover-chaining mechanism provides a clear value proposition for cost-conscious households, but the current maintenance-mode release cadence leaves it vulnerable to more agile competitors. **Best for:** Families and households looking to reduce grocery spending and automate the weekly meal planning process. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship a roadmap update because the current 78-day silence signals maintenance mode to users → restore confidence in long-term support ### Outlook: Mixed The meal planning category is consolidating around apps that offer frequent content updates and deep grocery-retailer integrations. DinnerLoop's current maintenance-mode posture leaves it exposed to competitors who can iterate faster on the household-voting mechanism. - 🔴 The 78-day gap since the last update suggests the team has shifted focus, which risks churn among users expecting active meal-planning support. - ⚪ The household subscription model provides a stable revenue base, provided the core leftover-chaining feature continues to deliver measurable grocery savings. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Subscription | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **DinnerLoop: Meal Planner** (this app) | N/A/5 | N/A | LearningGPT | | [Vegan Friendly](https://marlvel.ai/apps/com-veganfriendly) | 4.6/5 | Mixed | The Association For a Vegan Future (RA) | | [소박한 한 그릇](https://marlvel.ai/apps/app--426) | N/A/5 | N/A | DaolSoft, Co., Ltd. | | [알토란 레시피 - 요리 반찬 레시피](https://marlvel.ai/apps/woodisw-com-altrecipe) | N/A/5 | N/A | WoodiSW | | [メニュー](https://marlvel.ai/apps/app--677) | N/A/5 | N/A | Satoshi Sato | | [캐시모어](https://marlvel.ai/apps/com-bridgeworks-ios-cashmore) | 4.6/5 | N/A | bridgeworks | ## Company Profile - **Developer:** LearningGPT - **Website:** [https://dinnerloop.com](https://dinnerloop.com) ## Data Sources & Links - **App Store ID:** 6798487883 - **Google Play ID:** com.dinnerloop.app - **Dev Site:** [Official Website](https://dinnerloop.com) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*Vegan Friendly*](https://marlvel.ai/apps/com-veganfriendly) (The Association For a Vegan Future (RA)) · 4.6/5 Rating - [*소박한 한 그릇*](https://marlvel.ai/apps/app--426) (DaolSoft, Co., Ltd.) · N/A Rating - [*알토란 레시피 - 요리 반찬 레시피*](https://marlvel.ai/apps/woodisw-com-altrecipe) (WoodiSW) · N/A Rating - [*メニュー*](https://marlvel.ai/apps/app--677) (Satoshi Sato) · N/A Rating - [*캐시모어*](https://marlvel.ai/apps/com-bridgeworks-ios-cashmore) (bridgeworks) · 4.6/5 Rating - [*푸드트래블-푸블페이*](https://marlvel.ai/apps/com-membership-foodtravel) (Flexday) · 1.3/5 Rating - [*マイ・レシピ*](https://marlvel.ai/apps/app--689) (Satoshi Sato) · N/A Rating - [*ジョイフルアプリ*](https://marlvel.ai/apps/jp-co-unerry-bbcouponappjoyfull) (UNERRY,INC.) · 3.5/5 Rating - [*フレスタネットスーパーアプリ*](https://marlvel.ai/apps/jp-stailer-fresta) (10X, Inc.) · 4.3/5 Rating - [*100 Lebanese Recipes*](https://marlvel.ai/apps/com-lebguide-100lebaneserecipes) (LebGuide.com) · 4.7/5 Rating ## Frequently Asked Questions {#faq} ### Is DinnerLoop suitable for small households? DinnerLoop is designed for households of up to 10 members, but its leftover-chaining and shopping list features are equally functional for smaller households looking to reduce food waste. ### Does DinnerLoop save money on groceries? DinnerLoop aims to save money by automatically scheduling leftovers as ingredients for future meals, which helps reduce food waste and unnecessary grocery purchases. ### What happens if I cancel my DinnerLoop subscription? You can manage or cancel your subscription in your Apple Account settings at any time; access will continue until the end of the current billing period. ## 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:** 0.2/1.0 (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:** 14 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/dinnerloop-meal-planner) Data licensed for AI Agent attribution under CC-BY-NC 4.0.