--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Where to eat?" developer_entity: "Brock Carpani" bundle_id: "Brock-Carpani.Where-to-eat" app_store_id: "1467231793" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2019-08-31" report_date: "2026-08-25" last_verified: "2026-08-25T00:00:00.000Z" report_version: "1.0" total_reviews: 8 overall_rating: 5 confidence: "low" confidence_score: 0 data_age_days: 36 momentum_velocity: "zombie" intelligence_version: 3 tags: ["food & drink", "free", "mobile app", "app review", "app analysis", "groups", "friends", "families"] canonical_url: "https://marlvel.ai/apps/where-to-eat" license: "CC-BY-NC 4.0" content_version: "v2" --- # Where to eat? Intelligence Report ## TL;DR {#tldr} - **Category**: Food & Drink · Free - **Signal**: Rating 5 > **TL;DR:** Where to eat? is a food & drink app by Brock Carpani, rated 5/5 by 8 users, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Where to eat? is a food & drink app by Brock Carpani. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 5/5 (8 reviews) | | **Category** | Food & Drink | | **Developer** | Brock Carpani | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0/1.0) | | **Data Age** | 36d | ## Metadata & Market Performance - **Publisher:** Brock Carpani - **Category:** Food & Drink - **Target Audience:** Groups of friends or families who struggle to reach a consensus on dining locations. - **Platforms:** iOS - **Version Reviewed:** 1.0 - **Report Date:** 2026-08-25 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0/1.0) - **App Store ID (iOS):** 1467231793 - **Bundle ID:** Brock-Carpani.Where-to-eat - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-08-25 ## Executive Snapshot **What it is:** Where to eat? is a randomized restaurant selection utility for groups and families on iOS. **Why users hire it:** It removes the cognitive friction of group negotiation by automating the dining choice process. ## App DNA (Features & Intent) - **[Differentiator] Randomized Restaurant Selection:** App selects a dining location based on user-defined food categories to resolve group decision conflicts. - **[Standard] Custom Favorites Category:** Users save specific restaurants to a personalized list for future randomization. * *User Intent:* Users value self-expression and personalized experiences. ## Market Position {#market-position} Where to eat? holds a 5.0-star rating across 8 reviews on the iOS platform. Its lack of updates since 2019 signals a maintenance-only posture in a category now dominated by high-frequency mapping platforms. ## Monetization Strategy - **Model:** Free - **Tiers:** Free - **Analysis:** The app is offered as a free utility with no visible monetization or subscription tiers. ## SWOT Analysis {#swot} **Core Strengths:** - Randomized selection mechanism resolves group decision conflicts **Growth Levers:** - Integration with real-time reservation APIs ## Recent Changes (v2 → v3) {#recent-changes} The report now incorporates a 5.0-star rating across 8 reviews and refines the SWOT analysis to focus on specific API integration opportunities and native platform threats. These additions provide a concrete performance anchor that was previously missing from the analysis. **Overall trend**: Stable **Compared at**: 2026-08-25 ### Medium-impact changes - **[Added] Performance Metrics** (sentiment) - **[Added] Strategic SWOT Refinement** (swot) ## App Momentum (Zombie) {#momentum} - Maintenance mode since August 2019. - Zero updates in 2550 days. > **Cadence:** 1 total versions · 1 majors in last 6 months · 2550 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Where to eat? is a food & drink app that is completely free. It holds a 5/5 rating from 8 reviews. > **Bottom Line:** Where to eat? provides a simple, functional solution to group dining indecision, but its lack of updates since 2019 limits its long-term viability. **Best for:** Groups of friends or families who struggle to reach a consensus on dining locations. ### PM Action Plan (Next Best Moves) - [ ] [MAINTAIN] Audit current API dependencies because the app has not been updated since 2019 → prevent total service failure ### Outlook: Stable The dining discovery market has consolidated around high-frequency platforms that integrate reviews and reservations. Where to eat? remains a niche utility that serves a specific, narrow need for randomized choice, but its lack of updates leaves it vulnerable to platform-level deprecation. - ⚪ The app has remained in a maintenance state for 2550 days, indicating no active development or feature expansion. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 5/5 | | Total Reviews | 8 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 2 analyzed | | Trend | Stable | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Where to eat?** (this app) | 5/5 | N/A | Brock Carpani | | [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:** Brock Carpani ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/where-to-eat/id1467231793?uo=4) - **Sources:** 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 - [*Grubhub: Food Delivery*](https://marlvel.ai/apps/grubhub-food-delivery) (GrubHub.com) · 4.7/5 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 Where to eat? free to use? Yes, Where to eat? is a free utility with no subscription tiers or in-app purchases. ### Does Where to eat? work offline? The app requires internet access to display maps, directions, and restaurant details, as it relies on external data sources. ### What is the main benefit of using Where to eat? It helps groups and families resolve indecision by randomly selecting a dining location based on user-defined food categories. ### Are there alternatives to Where to eat? Users can consider major mapping and review platforms, which offer built-in filtering and discovery tools for dining locations. ## 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:** 0/1.0 (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:** 36 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/where-to-eat) Data licensed for AI Agent attribution under CC-BY-NC 4.0.