--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Dinner Cookbook recipes" developer_entity: "Antony Jose" bundle_id: "com.kindrida.recipes.dinner" app_store_id: "6761813732" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: true market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-09-03" report_date: "2026-09-16" last_verified: "2026-09-16T00:00:00.000Z" report_version: "2.12" total_reviews: 0 confidence: "low" confidence_score: 0.2 data_age_days: 14 momentum_velocity: "maintenance" intelligence_version: 2 tags: ["food & drink", "freemium", "mobile app", "app review", "app analysis", "cooks", "professionals", "seeking"] canonical_url: "https://marlvel.ai/apps/dinner-cookbook-recipes" license: "CC-BY-NC 4.0" content_version: "v2" --- # Dinner Cookbook recipes Intelligence Report ## TL;DR {#tldr} - **Category**: Food & Drink · Freemium > **TL;DR:** Dinner Cookbook recipes is a food & drink app by Antony Jose, available on iOS & Android. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Dinner Cookbook recipes is a food & drink app by Antony Jose. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Food & Drink | | **Developer** | Antony Jose | | **Pricing** | Freemium | | **Platforms** | iOS & Android | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 14d | ## Metadata & Market Performance - **Publisher:** Antony Jose - **Category:** Food & Drink - **Target Audience:** Home cooks and busy professionals seeking quick, ingredient-based meal inspiration. - **Platforms:** iOS & Android - **Version Reviewed:** 1.0 - **Report Date:** 2026-09-16 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6761813732 - **Bundle ID:** com.kindrida.recipes.dinner - **Google Play ID:** com.kindrida.recipes.dinner - **Data Window:** Analysis based on signals collected up to 2026-09-16 ## Executive Snapshot **What it is:** Dinner Cookbook Recipes is a meal-planning app for home cooks that provides categorized dinner ideas and AI-driven ingredient-based suggestions on iOS and Android. **Why users hire it:** The app removes the cognitive friction of daily meal planning by matching fridge inventory to specific recipes, reducing the time spent on evening decision-making. ## App DNA (Features & Intent) - **[Differentiator] AI Meal Maker (Rida):** Generates recipe suggestions based on user-provided fridge ingredients and taste preferences, compounding switching costs via learned taste profiles. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Offline Recipe Access:** Downloads the recipe library for use without connectivity, increasing session frequency in kitchen environments and expanding ad-inventory. * *User Intent:* Users want uninterrupted access without internet dependency. - **[Differentiator] User Recipe Uploads:** Allows users to contribute and share personal recipes, lowering acquisition costs via organic community sharing. * *User Intent:* Users seek social connection and competitive engagement with peers. ## Market Position {#market-position} Dinner Cookbook Recipes occupies a niche in the Food & Drink category by prioritizing offline utility and ingredient-based discovery. The lack of recent major updates (122-day average cadence) signals a maintenance-mode posture that limits its ability to compete with high-velocity social cooking apps. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free tier with ad support, In-app purchases available - **Analysis:** The ad-supported freemium model utilizes in-app purchases to monetize the user base, with offline access serving as a core retention lever. ## SWOT Analysis {#swot} **Core Strengths:** - AI-powered ingredient discovery creates personalized switching costs - Offline-first design increases session frequency in kitchen environments **Growth Levers:** - User-contributed recipe uploads offer organic acquisition potential ## What's New - **Latest (v2.12, 1 weeks ago):** Maintenance update focused on UI refinements and general bug fixes. ## App Momentum (Maintenance) {#momentum} - Ships ~3 releases per year. - Quiet 4 months, bug fixes only. > **Cadence:** 2 total versions · 0 majors in last 6 months · 13 days since last update · 122 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Dinner Cookbook recipes is a food & drink app that is free with in-app purchases. > **Bottom Line:** Transitioning from maintenance-mode to a consistent feature-release cycle would unlock the retention potential of the AI-powered meal maker. Prioritizing social-sharing features over UI refinements would better leverage the existing user-upload capability to drive organic growth. **Best for:** Home cooks and busy professionals seeking quick, ingredient-based meal inspiration. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Invest in social-sharing infrastructure for user-uploaded recipes because current organic acquisition is limited by the lack of community features → increase install velocity. ### Outlook: Stable The meal-planning market is shifting toward social-first, community-driven discovery, which places Dinner Cookbook Recipes at a disadvantage due to its current focus on static, offline-first utility. Unless the product pivots to integrate social-sharing loops, it will likely remain a niche tool rather than a category leader. - ⚪ The 122-day update cadence indicates a focus on stability over feature expansion, which limits the ability to capture new market share. - 🟢 AI-powered ingredient discovery provides a unique utility that continues to serve as a primary retention lever for the existing user base. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Dinner Cookbook recipes** (this app) | N/A/5 | N/A | Antony Jose | | [Beyond Menu Food Delivery](https://marlvel.ai/apps/beyond-menu-food-delivery) | 4.6/5 | N/A | BeyondMenu | | [Caviar - Order Food Delivery](https://marlvel.ai/apps/caviar-order-food-delivery) | 4.6/5 | n/a | Caviar, Inc. | | [ChowNow: Local Food Ordering](https://marlvel.ai/apps/chownow-local-food-ordering) | 4.7/5 | n/a | ChowNow | | [Dairy Queen® Food & Treats](https://marlvel.ai/apps/dairy-queen-food-treats) | 4.4/5 | n/a | International Dairy Queen, Inc. | | [EatStreet Local Food Delivery](https://marlvel.ai/apps/eatstreet-local-food-delivery) | 4.7/5 | n/a | EatStreet | ## Company Profile - **Developer:** Antony Jose - **Website:** [https://kindridatech.web.app/](https://kindridatech.web.app/) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/dinner-cookbook-recipes/id6761813732?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.kindrida.recipes.dinner&hl=en&gl=us) - **Dev Site:** [Official Website](https://kindridatech.web.app/) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*Beyond Menu Food Delivery*](https://marlvel.ai/apps/beyond-menu-food-delivery) (BeyondMenu) · 4.6/5 Rating - [*Caviar - Order Food Delivery*](https://marlvel.ai/apps/caviar-order-food-delivery) (Caviar, Inc.) · 4.6/5 Rating - [*ChowNow: Local Food Ordering*](https://marlvel.ai/apps/chownow-local-food-ordering) (ChowNow) · 4.7/5 Rating - [*Dairy Queen® Food & Treats*](https://marlvel.ai/apps/dairy-queen-food-treats) (International Dairy Queen, Inc.) · 4.4/5 Rating - [*EatStreet Local Food Delivery*](https://marlvel.ai/apps/eatstreet-local-food-delivery) (EatStreet) · 4.7/5 Rating - [*Gopuff - Grocery Delivery*](https://marlvel.ai/apps/gopuff-grocery-delivery) (Gopuff) · 4.7/5 Rating | Positive Sentiment - [*Grubhub: Food Delivery*](https://marlvel.ai/apps/grubhub-food-delivery) (GrubHub.com) · 4.6/5 Rating - [*Instacart: Groceries & Food*](https://marlvel.ai/apps/instacart-groceries-food) (Maplebear Inc) · 4.8/5 Rating - [*Postmates - Food Delivery*](https://marlvel.ai/apps/postmates-food-delivery) (Uber Technologies, Inc.) · 4.6/5 Rating - [*Seamless: Local Food Delivery*](https://marlvel.ai/apps/seamless-local-food-delivery) (Seamless North America, LLC) · 4.7/5 Rating ## Frequently Asked Questions {#faq} ### Is Dinner Cookbook Recipes good for beginners? Yes, the app is designed for home cooks who want dependable results without complexity, offering categories like 30-minute meals and five-ingredient dinners. ### Does Dinner Cookbook Recipes work without internet? Yes, the app provides offline access to the recipe library after the initial load, making it useful in kitchen environments with poor connectivity. ### What is the difference between Dinner Cookbook Recipes and standard recipe apps? Dinner Cookbook Recipes distinguishes itself with an AI-powered meal maker that suggests recipes based on your specific fridge inventory, rather than just providing a static list. ## 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/dinner-cookbook-recipes) Data licensed for AI Agent attribution under CC-BY-NC 4.0.