--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Landlord" developer_entity: "Weijie Li" bundle_id: "com.appstudio.pc.landlord.landlord" app_store_id: "6480108247" category: "Finance" primary_platform: "ios" primary_monetization: "Free" offline_capable: true market_region: "US" platforms: "iOS" app_last_updated: "2024-05-20" report_date: "2026-08-31" last_verified: "2026-08-31T00:00:00.000Z" report_version: "1.0.9" total_reviews: 0 confidence: "low" confidence_score: 0.05 data_age_days: 31 momentum_velocity: "zombie" intelligence_version: 3 tags: ["finance", "free", "mobile app", "app review", "app analysis", "property", "investors", "landlords"] canonical_url: "https://marlvel.ai/apps/landlord" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (finance). Information is aggregated from public sources for informational purposes only. This is not financial or investment advice. Always do your own research. --- # Landlord Intelligence Report ## TL;DR {#tldr} - **Category**: Finance · Free > **TL;DR:** Landlord is a finance app by Weijie Li, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Landlord is a finance app by Weijie Li. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Finance | | **Developer** | Weijie Li | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 31d | ## Metadata & Market Performance - **Publisher:** Weijie Li - **Category:** Finance - **Target Audience:** Property investors and landlords managing portfolios ranging from single units to large real estate holdings. - **Platforms:** iOS - **Version Reviewed:** 1.0.9 - **Report Date:** 2026-08-31 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6480108247 - **Bundle ID:** com.appstudio.pc.landlord.landlord - **Performance Trend:** Declining - **Data Window:** Analysis based on signals collected up to 2026-08-31 ## Executive Snapshot **What it is:** Landlord is a property management utility for real estate investors to store documents, track expenses, and organize contact lists on iOS. **Why users hire it:** The app removes the connectivity dependency and privacy concerns associated with cloud-native property management platforms by utilizing local storage and personal iCloud backups. ## App DNA (Features & Intent) - **[Differentiator] Offline Data Access:** Local storage of property data and documents without internet connectivity. * *User Intent:* Users want uninterrupted access without internet dependency. - **[Standard] Document Management:** Centralized storage for invoices, lease agreements, and inspection reports. - **[Standard] Expense Tracking:** Categorized logging of rent, insurance, maintenance, and management fees. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. ## Market Position {#market-position} Landlord occupies a niche as a free, local-only property management utility. The 833-day update gap signals a lack of commercial intent, placing the app outside the competitive set of active, subscription-based real estate platforms. ## Monetization Strategy - **Model:** Free - **Tiers:** Free to use - **Analysis:** Landlord is free with no visible subscription or IAP gates, which limits the developer's ability to fund ongoing feature development. ## SWOT Analysis {#swot} **Core Strengths:** - Local-first architecture removes connectivity dependency **Growth Levers:** - Subscription model could fund maintenance ## Recent Changes (v2 → v3) {#recent-changes} The assessment of Landlord has shifted from a neutral observation of a dormant tool to a high-risk warning, driven by the conclusion that the 27-month update gap now threatens data security and future OS compatibility. **Overall trend**: Declining **Compared at**: 2026-08-31 ### High-impact changes - **[Shifted] Risk-focused narrative** (positioning) ### Medium-impact changes - **[Added] OS-level deprecation threat** (swot) - **[Added] Data-loss risk** (swot) ## What's New - **Latest (v1.0.9, 2 years ago):** General UX improvements and bug fixes. ## App Momentum (Zombie) {#momentum} - No updates for 27 months. - Development status is dormant. > **Cadence:** 1 total versions · 0 majors in last 6 months · 833 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Landlord is a finance app that is completely free. > **Bottom Line:** Landlord functions as a local-only utility, but the 27-month update silence makes it a high-risk choice for financial document storage. Investors should migrate to actively maintained platforms to ensure long-term data security. **Best for:** Property investors and landlords managing portfolios ranging from single units to large real estate holdings. ### PM Action Plan (Next Best Moves) - [ ] [SUNSET] Sunset the product because the 27-month update gap indicates abandonment → prevent user data-loss frustration ### Outlook: Declining The property management category is consolidating around cloud-native platforms that provide real-time sync and automated tax reporting. Landlord's lack of development activity leaves it unable to compete, and the app will likely become unusable as future OS updates introduce breaking changes. - 🔴 The 27-month update gap indicates a dormant product, which will eventually lead to broken functionality as iOS evolves. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Declining | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Landlord** (this app) | N/A/5 | N/A | Weijie Li | | [Polymarket](https://marlvel.ai/apps/polymarket) | 4.3/5 | n/a | Polymarket | | [ATLAS:EARTH - Fun Cashback!](https://marlvel.ai/apps/atlas-earth-fun-cashback) | 4.5/5 | n/a | Atlas Reality, Inc. | | [Fidelity Investments](https://marlvel.ai/apps/fidelity-investments) | 4.5/5 | n/a | Fidelity Investments | | [Kalshi: Trade Events & Sports](https://marlvel.ai/apps/kalshi-trade-news-sports) | 4.7/5 | n/a | KalshiEX LLC | | [Webull: Investing & Trading](https://marlvel.ai/apps/webull-investing-trading) | 4.6/5 | n/a | Webull Technologies Pte. Ltd. | ## Company Profile - **Developer:** Weijie Li ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/landlord/id6480108247?uo=4) - **Sources:** App store metadata. ## Related Intel Reports - [*Polymarket*](https://marlvel.ai/apps/polymarket) (Polymarket) · 4.3/5 Rating - [*ATLAS:EARTH - Fun Cashback!*](https://marlvel.ai/apps/atlas-earth-fun-cashback) (Atlas Reality, Inc.) · 4.5/5 Rating - [*Fidelity Investments*](https://marlvel.ai/apps/fidelity-investments) (Fidelity Investments) · 4.5/5 Rating - [*Kalshi: Trade Events & Sports*](https://marlvel.ai/apps/kalshi-trade-news-sports) (KalshiEX LLC) · 4.7/5 Rating - [*Webull: Investing & Trading*](https://marlvel.ai/apps/webull-investing-trading) (Webull Technologies Pte. Ltd.) · 4.6/5 Rating - [*코인원 - 가상자산 거래소(비트코인, 이더리움, 테더)*](https://marlvel.ai/apps/coinone-co-kr-official) (Coinone) · 3.1/5 Rating - [*다트맨 - 전자공시 푸시알림*](https://marlvel.ai/apps/com-coreasset-stockhunter) (ORBIS Investment Advisors Co., Ltd.) · 2.1/5 Rating - [*디지로카(롯데카드)*](https://marlvel.ai/apps/com-lcacapp) (lottecard) · 2.5/5 Rating - [*บเรนนี่ เงินสด*](https://marlvel.ai/apps/com-finance-rennycorpoth) (RENNY CORPORATION COMPANY LIMITED) · N/A Rating - [*ศรีสวัสดิ์*](https://marlvel.ai/apps/com-srisawad-mobileapplications) (Srisawad Power 2014 Company Limited) · 3.8/5 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:** 31 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/landlord) Data licensed for AI Agent attribution under CC-BY-NC 4.0.