--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Doble Queso" developer_entity: "Orionsoft SpA" bundle_id: "com.getjusto.apps.doblequeso" app_store_id: "1493550568" category: "Food & Drink" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-01-29" report_date: "2026-05-21" last_verified: "2026-05-21T22:33:56.675Z" report_version: "4.0.0" total_reviews: 0 confidence: "low" confidence_score: 0.2 data_age_days: 55 momentum_velocity: "maintenance" intelligence_version: 4 nemesis: "Uber Eats: Food & Groceries" competitor_count: 11 tags: ["food & drink", "free", "mobile app", "app review", "app analysis", "local", "customers", "seeking"] canonical_url: "https://marlvel.ai/apps/doble-queso" license: "CC-BY-NC 4.0" content_version: "v2" --- # Doble Queso App Audit ## TL;DR {#tldr} - **Category**: Food & Drink · Free > **TL;DR:** Doble Queso is a food & drink app by Orionsoft SpA, available on iOS & Android. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Doble Queso is a food & drink app by Orionsoft SpA. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Food & Drink | | **Developer** | Orionsoft SpA | | **Pricing** | Free | | **Platforms** | iOS & Android | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 55d | ## Metadata & Market Performance - **Publisher:** Orionsoft SpA - **Category:** Food & Drink - **Target Audience:** Local customers seeking convenient access to burger delivery, catering services, and at-home meal kits. - **Platforms:** iOS & Android - **Version Audited:** 4.0.0 - **Audit Date:** 2026-05-21 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 1493550568 - **Bundle ID:** com.getjusto.apps.doblequeso - **Google Play ID:** com.getjusto.apps.doblequeso - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-05-21 ## Executive Snapshot **What it is:** Doble Queso is a food ordering app for local burger delivery and meal kits on iOS and Android. **Why users hire it:** Users hire the app to order food directly from the restaurant, avoiding the high commission fees associated with third-party delivery aggregators. ## App DNA (Features & Intent) - **[Standard] Direct Ordering:** In-app interface for selecting and purchasing menu items for delivery or pickup - **[Differentiator] Kit DobleQueso:** At-home preparation meal kit option available for purchase * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Standard] Club DobleQueso:** Loyalty program integration for repeat customers * *User Intent:* Users value self-expression and personalized experiences. ## Market Position {#market-position} Doble Queso operates as a niche restaurant-specific ordering tool, lacking the organic discovery volume of marketplace aggregators like Uber Eats. The absence of rating data suggests minimal user engagement, requiring a shift toward active loyalty incentives to drive repeat traffic. ## Monetization Strategy - **Model:** Free - **Tiers:** Free app download, Transaction-based pricing for food items - **Analysis:** The app functions as a direct-to-consumer sales channel for food products with no subscription or IAP gates. ## SWOT Analysis {#swot} **Core Strengths:** - Direct-to-consumer model avoids aggregator commission fees - Kit DobleQueso provides a unique product line for home preparation **Critical Frictions:** - Zero rating count indicates low organic discovery - No active feature updates since the initial release **Growth Levers:** - Integrate POS systems to automate inventory - Expand loyalty program to include personalized marketing **Market Threats:** - Uber Eats' massive user base and logistics network - New entrants offering one-tap reordering features ## Recent Changes (v3 → v4) {#recent-changes} The app shifted its strategic focus toward a commission-free, direct-to-consumer model and identified specific operational gaps in POS integration and reordering friction. **Overall trend**: Mixed **Compared at**: 2026-05-21 ### High-impact changes - **[Shifted] Strategic Value Proposition** (positioning) — Shifted from a generic local ordering utility to a commission-free alternative to third-party delivery aggregators. ### Medium-impact changes - **[Added] Competitive Threats** (swot) — Added Uber Eats' logistics network and one-tap reordering features as primary competitive threats. - **[Added] Operational Opportunities** (swot) — Added POS system integration and loyalty program expansion as key opportunities for operational efficiency. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Doble Queso vs Uber Eats: Food & Groceries — Head to Head - **[Uber Eats: Food & Groceries](https://marlvel.ai/apps/uber-eats-food-groceries)** by Uber Technologies, Inc.: Uber Eats dominates the food delivery market, competing directly with Doble Queso for the same convenience-seeking, on-demand dining audience. - **Key differences:** - Massive multi-category marketplace offers groceries and retail alongside restaurant food delivery options - Uber One subscription creates high switching costs through exclusive discounts and delivery fee waivers - Real-time GPS order tracking provides superior transparency compared to standard restaurant-specific ordering apps - **Where Doble Queso wins:** - ✅ Direct brand relationship avoids the high commission fees charged by third-party delivery aggregators - ✅ Focused menu presentation reduces user decision fatigue compared to the overwhelming Uber Eats interface - **Where Uber Eats: Food & Groceries wins:** - ❌ Unmatched logistics network ensures reliable delivery speed and real-time driver tracking capabilities - ❌ Global brand recognition and massive user base drive significantly higher organic discovery and traffic - **Verdict:** Doble Queso should focus on loyalty and direct-to-consumer incentives to bypass the aggregator's high-fee ecosystem. ### Contenders (Strong Challengers) - **[Pressto!](https://marlvel.ai/apps/pressto)** by Appfront A.I. LTD: Pressto! competes by offering a white-label mobile ordering solution that integrates deeply with restaurant POS systems. - Deep POS integration enables real-time inventory management and automated menu updates for the restaurant - Built-in loyalty and CRM tools allow for personalized marketing campaigns based on order history - **[woso](https://marlvel.ai/apps/woso)** by PumpApp Solutions AB: Woso is a direct functional competitor in the mobile food ordering space, focusing on streamlined transaction flows. - Status notifications provide clear updates on order progress throughout the entire preparation cycle - Simplified in-app payment flow reduces friction during the checkout process for repeat customers - **[Caviar - Order Food Delivery](https://marlvel.ai/apps/caviar-order-food-delivery)** by Caviar, Inc.: Caviar targets the premium food delivery segment, competing for users who prioritize high-quality restaurant experiences. - Curated list of exclusive restaurant partnerships creates a premium brand perception for the user - DashPass integration provides a seamless cross-platform benefit for frequent delivery users - **[ChowNow: Local Food Ordering](https://marlvel.ai/apps/chownow-local-food-ordering)** by ChowNow: ChowNow competes by providing a commission-free ordering infrastructure that appeals to the same restaurant-direct model as Doble Queso. - Provides 24/7 human support for restaurant partners, ensuring technical issues are resolved immediately - Commission-free ordering model allows for better price parity compared to third-party delivery platforms ### Peers (What They Do Better) - **[CookingPal - Connected Cooking](https://marlvel.ai/apps/cookingpal-connected-cooking)** by TecPal Ltd.: CookingPal competes for the user's time in the kitchen by offering a connected, guided cooking experience. - Direct hardware integration with Multo devices creates a unique, automated cooking ecosystem for users - Guided recipe library provides step-by-step instructions that reduce the complexity of home cooking - **[Fermenters Friend](https://marlvel.ai/apps/fermenters-friend)** by Blaze Software: This app occupies the food preparation utility space, targeting users interested in specialized culinary processes. - Specialized brine salt calculator offers precise measurements for specific fermentation and curing needs - Curated suggested brine list provides actionable guidance for users experimenting with new recipes - **[Tare: Ingredient Converter](https://marlvel.ai/apps/com-kitchenconverterpro-app)** by Cameron Mcconnell: While utility-focused, it competes for the same 'Food & Drink' user attention by assisting with kitchen preparation tasks. - Density-aware conversion logic provides higher accuracy for professional-grade recipe scaling and preparation - Full offline functionality ensures the tool remains useful in kitchen environments with poor connectivity - **[Blue Nile Injera](https://marlvel.ai/apps/blue-nile-injera)** by Berhane Asbu Asmelash: This app serves a similar niche of restaurant-specific ordering, focusing on customer retention through loyalty rewards. - Integrated loyalty rewards program incentivizes repeat visits through a clear transaction history dashboard - Dedicated shop menu interface simplifies the ordering process for specific restaurant offerings ### New Kids on the Block (What's Innovative) - **[Honest Johns Pizzeria](https://marlvel.ai/apps/honest-johns-pizzeria)** by Honest John's Pizza, Inc.: This newcomer provides a comprehensive ordering and delivery platform for a specific local restaurant brand. - Hybrid delivery model combines internal service with third-party integration for maximum geographic coverage - **[Annie's Pizzeria MA](https://marlvel.ai/apps/annie-s-pizzeria-ma)** by Avco Industries: A new entrant in the restaurant-specific ordering space, focusing on speed and customization for local diners. - One-tap reordering feature significantly reduces the time required for frequent customers to place orders ## What's New - **Latest (v4.0.0, 3 months ago):** Introduced a complete redesign of the app interface. ## App Momentum (Maintenance) {#momentum} - No notable feature updates since release. - Maintenance-mode status limits user discovery. > **Cadence:** 2 total versions · 1 majors in last 6 months · 112 days since last update · 1 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Doble Queso is an established food & drink app that is completely free. > **Bottom Line:** Doble Queso avoids commission fees through its direct-to-consumer model but lacks the feature cadence to retain users against marketplace aggregators, so the PM should prioritize POS integration to improve operational efficiency and menu accuracy. **Best for:** Local customers seeking convenient access to burger delivery, catering services, and at-home meal kits. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Integrate POS systems because manual inventory management is a barrier to scale → improve menu accuracy — *Competitors like Pressto! use POS integration to automate inventory, a feature currently missing.* _(trade-off: deprioritize Pause the development of new meal kit recipes — POS integration has a higher impact on operational efficiency.)_ - [ ] [PIVOT] [MEDIUM IMPACT] Ship one-tap reordering because it is a standard feature in new entrants like Annie's Pizzeria → increase repeat order frequency — *New entrants are using one-tap reordering to reduce friction for frequent diners.* _(trade-off: deprioritize Deprioritize the loyalty program dashboard refresh — reordering has a more direct impact on conversion.)_ ### Feature Gaps vs Competitors - Real-time inventory management (available in Pressto! but absent here) - One-tap reordering (available in Annie's Pizzeria but absent here) ### Outlook: Stable The local food ordering market is consolidating around platforms that offer both convenience and deep POS integration. Doble Queso remains exposed due to its static feature set, so the PM must transition to an active development cycle to prevent further erosion of its niche market share. - 🔴 The lack of updates since the initial release indicates a maintenance-only posture, which prevents the app from competing with the rapid feature evolution of delivery aggregators. - ⚪ The focus on a direct-to-consumer model provides a stable, commission-free revenue stream, but it limits the app's ability to reach new customers outside the existing brand base. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Trend | Mixed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Doble Queso** (this app) | N/A/5 | N/A | Orionsoft SpA | | [Tare: Ingredient Converter](https://marlvel.ai/apps/com-kitchenconverterpro-app) | 5.0/5 | N/A | Cameron Mcconnell | | [Uber Eats: Food & Groceries](https://marlvel.ai/apps/uber-eats-food-groceries) | 4.8/5 | Frustrated | Uber Technologies, Inc. | | [Caviar - Order Food Delivery](https://marlvel.ai/apps/caviar-order-food-delivery) | 4.8/5 | Excited | Caviar, Inc. | | [ChowNow: Local Food Ordering](https://marlvel.ai/apps/chownow-local-food-ordering) | 4.7/5 | N/A | ChowNow | | [woso](https://marlvel.ai/apps/woso) | N/A/5 | N/A | PumpApp Solutions AB | ## Company Profile - **Developer:** Orionsoft SpA - **Website:** [https://doblequeso.com](https://doblequeso.com) - **Social:** [Instagram](https://www.instagram.com/doble.queso) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/doble-queso/id1493550568?uo=4) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.getjusto.apps.doblequeso&hl=en&gl=us) - **Dev Site:** [Official Website](https://doblequeso.com) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*Tare: Ingredient Converter*](https://marlvel.ai/apps/com-kitchenconverterpro-app) (Cameron Mcconnell) — 5.0/5 Rating | N/A Sentiment - [*Uber Eats: Food & Groceries*](https://marlvel.ai/apps/uber-eats-food-groceries) (Uber Technologies, Inc.) — 4.8/5 Rating | Negative Sentiment - [*Caviar - Order Food Delivery*](https://marlvel.ai/apps/caviar-order-food-delivery) (Caviar, Inc.) — 4.8/5 Rating | Positive Sentiment - [*ChowNow: Local Food Ordering*](https://marlvel.ai/apps/chownow-local-food-ordering) (ChowNow) — 4.7/5 Rating | N/A Sentiment - [*woso*](https://marlvel.ai/apps/woso) (PumpApp Solutions AB) — N/A Rating | N/A Sentiment - [*Fermenters Friend*](https://marlvel.ai/apps/fermenters-friend) (Blaze Software) — 4.5/5 Rating | N/A Sentiment - [*Honest Johns Pizzeria*](https://marlvel.ai/apps/honest-johns-pizzeria) (Honest John's Pizza, Inc.) — N/A Rating | N/A Sentiment - [*Pressto!*](https://marlvel.ai/apps/pressto) (Appfront A.I. LTD) — N/A Rating | N/A Sentiment - [*Annie's Pizzeria MA*](https://marlvel.ai/apps/annie-s-pizzeria-ma) (Avco Industries) — N/A Rating | N/A Sentiment - [*Blue Nile Injera*](https://marlvel.ai/apps/blue-nile-injera) (Berhane Asbu Asmelash) — 5.0/5 Rating | N/A 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:** 55 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/doble-queso) Data licensed for AI Agent attribution under CC-BY-NC 4.0.