--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "ゴミなう" developer_entity: "Jun NAKAJIMA" bundle_id: "app.rork.garbage-reminder-5hlfi76" app_store_id: "6757429932" category: "Lifestyle" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-04-14" report_date: "2026-07-06" last_verified: "2026-07-06T13:51:49.324Z" report_version: "1.0.0" total_reviews: 0 confidence: "low" confidence_score: 0.05 data_age_days: 19 momentum_velocity: "zombie" intelligence_version: 3 nemesis: "Knivsta Avfallsapp" competitor_count: 8 tags: ["lifestyle", "freemium", "mobile app", "app review", "app analysis", "individuals", "struggle", "track"] canonical_url: "https://marlvel.ai/apps/rork-garbage-reminder-5hlfi76" license: "CC-BY-NC 4.0" content_version: "v2" --- # ゴミなう App Audit ## TL;DR {#tldr} - **Category**: Lifestyle · Freemium > **TL;DR:** ゴミなう is a lifestyle app by Jun NAKAJIMA, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** ゴミなう is a lifestyle app by Jun NAKAJIMA. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Lifestyle | | **Developer** | Jun NAKAJIMA | | **Pricing** | Freemium | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 19d | ## Metadata & Market Performance - **Publisher:** Jun NAKAJIMA - **Category:** Lifestyle - **Target Audience:** Individuals who struggle to track local waste collection schedules and require automated reminders to prevent missed pickups. - **Platforms:** iOS - **Version Audited:** 1.0.0 - **Audit Date:** 2026-07-06 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6757429932 - **Bundle ID:** app.rork.garbage-reminder-5hlfi76 - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-07-06 ## Executive Snapshot **What it is:** ゴミなう is a waste-collection reminder app for iOS that helps users manage regional trash schedules via custom notifications and calendar views. **Why users hire it:** Users hire this app to offload the cognitive load of tracking complex, recurring municipal waste rules that vary by neighborhood and waste type. ## App DNA (Features & Intent) - **[Standard] Customizable Collection Schedule:** Configures recurring collection dates for specific waste types including weekly, bi-weekly, and monthly intervals. * *User Intent:* Users value self-expression and personalized experiences. - **[Differentiator] Exception Management:** Tracks holiday closures, collection shifts, and temporary schedule changes on a per-waste-type basis. * *User Intent:* Users want visibility into their own performance and progress. - **[Basic] Pro Subscription:** Removes advertisements from the interface to provide an ad-free experience. * *User Intent:* Users seek enhanced value through premium features. ## Market Position {#market-position} ゴミなう occupies the lifestyle-utility niche, focusing on regions without centralized municipal apps. Its lack of official integration creates a reliance on user-defined scheduling, which differentiates it from municipal-backed rivals but limits its utility for complex waste sorting. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free tier with advertisements, Pro tier (monthly or annual subscription) for ad-free experience - **Analysis:** Freemium model uses ad-removal as the primary conversion lever for the Pro subscription. ## SWOT Analysis {#swot} **Core Strengths:** - Flexible scheduling engine allows for user-defined municipal rules - Clean UI optimized for daily glanceability - Exception management handles holiday shifts effectively **Growth Levers:** - Crowdsourced sorting database could build a community-driven moat - B2B partnerships with local governments could provide official data feeds ## Recent Changes (v2 → v3) {#recent-changes} The analysis shifted focus from onboarding friction to the lack of a searchable sorting database as the primary competitive hurdle. **Overall trend**: Stable **Compared at**: 2026-07-06 ### High-impact changes - **[Added] Sorting Database Gap** (swot) - **[Shifted] PM Roadmap Priority** (features) ### Medium-impact changes - **[Shifted] Market Narrative** (positioning) ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Contenders (Strong Challengers) - **Eco Notify** by Yu Takahashi: Eco Notify competes directly for the same user base by focusing on notification-driven waste management and scheduling. - Focuses on a lightweight notification-first architecture that minimizes user interaction time for daily tasks - Maintains a more recent release cadence, suggesting a more active development cycle for feature iteration ### Peers (What They Do Better) - **LoopCare: Recurring Reminder** by 彬 刘: LoopCare is a direct competitor in the recurring task management space, offering similar notification capabilities. - Offers a highly generalized recurring reminder engine that handles complex intervals better than specialized apps - Maintains a higher user rating, indicating superior reliability and polish in its notification delivery system - **Affirmly** by Kodart OU: Affirmly occupies the lifestyle category by providing recurring habit-based reminders, overlapping with the target's scheduling utility. - Focuses on psychological habit formation rather than the functional utility of household waste management - Employs a motivational UX design that contrasts with the target app's purely utilitarian approach - **[Vera: Relationship Reminders](https://marlvel.ai/apps/vera-relationship-reminders)** by Brayan Alexis Ramirez Martinez: While the domain differs, it competes for the same 'lifestyle reminder' real estate on the user's home screen. - Utilizes smart reconnection algorithms to manage social maintenance rather than physical household chores - Prioritizes contact-centric management which requires a different UX flow than date-based scheduling - **[富士見ごみ分別アプリ](https://marlvel.ai/apps/jp-gomisuke-app-gomisuke0168)** by G-Place Corporation: This app serves the same niche of municipal waste management, specifically targeting users who need localized sorting rules. - Includes an illegal dumping report feature that adds a community-policing layer to waste management - Provides a robust sorting dictionary that acts as a reference tool for complex municipal regulations ### New Kids on the Block (What's Innovative) - **[Notification Girlfriend](https://marlvel.ai/apps/notification-girlfriend)** by BYNET: This app competes for the user's attention through customizable alarms and task management, encroaching on the target's notification space. - Features deep visual customization options that allow users to personalize their reminder experience significantly - **[时空留言-便捷签到、自动发送，还有很多话想对你说，不留遗憾](https://marlvel.ai/apps/check-stillhere)** by 王远菲 邓: This newcomer introduces advanced notification logic and security features that could influence user expectations for reminder apps. - Implements multi-factor security and delayed message delivery, showcasing advanced notification handling capabilities ## App Momentum (Zombie) {#momentum} - Launched initial version in April 2026. - Maintains focused, utility-driven feature set. > **Cadence:** 1 total versions · 0 majors in last 6 months · 82 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} ゴミなう is an established lifestyle app that is free with in-app purchases. > **Bottom Line:** ゴミなう provides a solid, flexible scheduling utility for regions without official support, but it lacks the deep sorting utility of municipal rivals, so the PM should prioritize a searchable waste-classification database to increase daily utility and retention. **Best for:** Individuals who struggle to track local waste collection schedules and require automated reminders to prevent missed pickups. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Ship searchable sorting database because it is the top-requested utility missing from the current feature set → increase daily retention ### Feature Gaps vs Competitors - Searchable sorting dictionary (available in Knivsta Avfallsapp but absent here) ### Outlook: Stable The waste-management market is consolidating around apps that provide both scheduling and classification utility. ゴミなう is currently exposed to disruption by municipal-integrated apps, so its long-term viability hinges on evolving from a simple reminder tool into a comprehensive waste-management resource. - ⚪ The app maintains a stable, utility-focused feature set, but the lack of sorting data limits its ability to compete with municipal-integrated rivals. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Stable | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **ゴミなう** (this app) | N/A/5 | N/A | Jun NAKAJIMA | | [Knivsta Avfallsapp](https://marlvel.ai/apps/se-knivsta-avfallsapp) | 4.9/5 | N/A | Knivsta kommun Avfallsenheten | | [Notification Girlfriend](https://marlvel.ai/apps/notification-girlfriend) | N/A/5 | N/A | BYNET | | [Vera: Relationship Reminders](https://marlvel.ai/apps/vera-relationship-reminders) | 5.0/5 | N/A | Brayan Alexis Ramirez Martinez | | [富士見ごみ分別アプリ](https://marlvel.ai/apps/jp-gomisuke-app-gomisuke0168) | N/A/5 | N/A | G-Place Corporation | | [时空留言-便捷签到、自动发送，还有很多话想对你说，不留遗憾](https://marlvel.ai/apps/check-stillhere) | N/A/5 | N/A | 王远菲 邓 | ## Company Profile - **Developer:** Jun NAKAJIMA ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/%E3%82%B4%E3%83%9F%E3%81%AA%E3%81%86/id6757429932?uo=4) - **Sources:** App store metadata. ## Related Intel Reports - [*Knivsta Avfallsapp*](https://marlvel.ai/apps/se-knivsta-avfallsapp) (Knivsta kommun Avfallsenheten) · 4.9/5 Rating - [*Notification Girlfriend*](https://marlvel.ai/apps/notification-girlfriend) (BYNET) · N/A Rating - [*Vera: Relationship Reminders*](https://marlvel.ai/apps/vera-relationship-reminders) (Brayan Alexis Ramirez Martinez) · 5.0/5 Rating - [*富士見ごみ分別アプリ*](https://marlvel.ai/apps/jp-gomisuke-app-gomisuke0168) (G-Place Corporation) · N/A Rating - [*时空留言-便捷签到、自动发送，还有很多话想对你说，不留遗憾*](https://marlvel.ai/apps/check-stillhere) (王远菲 邓) · N/A Rating - [*Alarmy - Loud alarm clock*](https://marlvel.ai/apps/alarmy-loud-alarm-clock) (Delight Room Co., Ltd.) · 4.8/5 Rating | Positive Sentiment - [*Tinder Dating App: Date & Chat*](https://marlvel.ai/apps/tinder-dating-app-date-chat) (Tinder LLC) · 4.0/5 Rating - [*Alarmie: Easy Rise Alarm Clock*](https://marlvel.ai/apps/alarmie-easy-rise-alarm-clock) (Jintian Wang) · 4.4/5 Rating - [*AlarmMon ( alarm clock )*](https://marlvel.ai/apps/alarmmon-alarm-clock) (Malang Studio Co. Ltd,) · 4.2/5 Rating - [*Swiftime*](https://marlvel.ai/apps/swiftime) (MEDIANO Co.,Ltd.) · 4.5/5 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:** 0.05/1.0 (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:** 19 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/rork-garbage-reminder-5hlfi76) Data licensed for AI Agent attribution under CC-BY-NC 4.0.