--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Commonplace." developer_entity: "Robert Gilchrist Jaros" bundle_id: "chat.commonplace.Commonplace" app_store_id: "6743141224" category: "Social Networking" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-05-01" report_date: "2026-05-15" last_verified: "2026-05-15T22:31:54.624Z" report_version: "0.2.12" total_reviews: 0 confidence: "low" confidence_score: 0.15 data_age_days: 6 momentum_velocity: "maintenance" intelligence_version: 3 nemesis: "Tinder Dating App: Date & Chat" competitor_count: 10 tags: ["social networking", "free", "mobile app", "app review", "app analysis", "individuals", "seeking", "conversational"] canonical_url: "https://marlvel.ai/intel-report/social-networking/commonplace" license: "CC-BY-NC 4.0" content_version: "v2" --- # Commonplace. App Audit ## TL;DR {#tldr} - **Category**: Social Networking · Free > **TL;DR:** Commonplace. is a social networking app by Robert Gilchrist Jaros, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Commonplace. is a social networking app by Robert Gilchrist Jaros. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Social Networking | | **Developer** | Robert Gilchrist Jaros | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.15/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** Robert Gilchrist Jaros - **Category:** Social Networking - **Target Audience:** Individuals seeking conversational social networking matched by automated systems. - **Platforms:** iOS - **Version Audited:** 0.2.12 - **Audit Date:** 2026-05-15 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.15/1.0) - **App Store ID (iOS):** 6743141224 - **Bundle ID:** chat.commonplace.Commonplace - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-05-15 ## Executive Snapshot **What it is:** Commonplace is an AI-matched social networking app for iOS that pairs users for conversation. **Why users hire it:** Users hire the app to bypass the social cost and fatigue of manual swipe-based discovery, seeking higher-quality, algorithmically curated connections. ## App DNA (Features & Intent) - **[Differentiator] AI-Driven Matching:** Algorithm-based pairing of users for conversation * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. ## Market Position {#market-position} Commonplace operates in the social networking space with no current chart presence or rating volume. The lack of visibility signals a pre-traction phase where the primary hurdle is building initial user liquidity. ## Monetization Strategy - **Model:** Free - **Tiers:** Free to download - **Analysis:** The app is currently free to download with no observable subscription or IAP gates. ## SWOT Analysis {#swot} **Core Strengths:** - AI-matching algorithm provides a clear differentiator from volume-based swipe interfaces. **Critical Frictions:** - Zero observable rating count limits social proof for new users. - No monetization model prevents funding for user acquisition. **Growth Levers:** - Niche community targeting could provide a beachhead for growth. **Market Threats:** - Incumbent network effects make user acquisition costs prohibitive. ## Recent Changes (v2 → v3) {#recent-changes} The competitive positioning shifted from a niche focus on Bottled to a direct comparison with Tinder, while the SWOT analysis now explicitly identifies the lack of monetization as a critical weakness. **Overall trend**: Stable **Compared at**: 2026-05-15 ### High-impact changes - **[Shifted] Primary Nemesis Re-alignment** (positioning) — The primary competitive benchmark shifted from Bottled to Tinder, reflecting a move toward positioning against high-liquidity, mass-market incumbents. - **[Added] Monetization and Acquisition Risks** (swot) — Added 'No monetization model' as a weakness and 'Prohibitive user acquisition costs' as a threat, identifying financial sustainability as a core hurdle. ### Medium-impact changes - **[Shifted] Feature Gap Benchmarks** (features) — Feature gaps updated from gamified discovery/video chat to social handle integration, proximity-based discovery, and psychological testing. ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Commonplace. vs Tinder Dating App: Date & Chat — Head to Head - **[Tinder Dating App: Date & Chat](https://marlvel.ai/intel-report/lifestyle/tinder-dating-app-date-chat)** by Tinder LLC: Tinder dominates the social discovery and matching market, representing the primary incumbent for any AI-driven connection platform. - **Key differences:** - Massive global user base creates an insurmountable network effect for new social discovery entrants. - Advanced monetization suite including priority likes and passport features drives significant recurring revenue per user. - Robust photo verification infrastructure establishes a baseline trust level that smaller competitors struggle to replicate. - **Where Commonplace. wins:** - ✅ Commonplace offers a more curated, AI-focused matching experience compared to Tinder's volume-based swipe fatigue. - ✅ Lower barrier to entry for meaningful conversation without the high-pressure environment of traditional dating apps. - **Where Tinder Dating App: Date & Chat wins:** - ❌ Unmatched liquidity in user profiles ensures near-instant matching capabilities regardless of geographic location. - ❌ Decade-long brand recognition makes Tinder the default choice for users seeking new social or romantic connections. - **Verdict:** Commonplace should avoid direct feature competition and instead position itself as a high-intent, quality-first alternative to Tinder's transactional model. ### Contenders (Strong Challengers) - **[Renz - Make New Friends](https://marlvel.ai/intel-report/social-networking/renz-make-new-friends)** by Renz Inc.: Renz is a direct competitor in the social networking space, utilizing swipe-based discovery to facilitate new friendships. - Social handle integration allows users to bridge the gap between anonymous discovery and established social identities. - High-frequency release cadence ensures rapid iteration on user feedback, keeping the product experience fresh and relevant. - **[Clean And Sober Love - CASL](https://marlvel.ai/intel-report/social-networking/clean-and-sober-love-casl)** by Joaquin Barreda: CASL competes by serving a niche, high-intent community that requires specific lifestyle alignment for successful matching. - Sober-only matching creates a high-trust, safe environment that generalist apps like Commonplace cannot easily replicate. - Direct integration with treatment center directories provides tangible utility beyond simple social networking and conversation. - **[Сайт знакомств с иностранцами](https://marlvel.ai/intel-report/social-networking/sait-znakomstv-s-inostrantsami)** by TEAMO.RU, OOO: This app targets users seeking specific, personality-driven connections through psychological testing and structured matching. - Psychological testing integration provides a deeper, data-backed foundation for matching than standard interest-based algorithms. - Premium account model creates a clear path to monetization that prioritizes serious users over casual browsers. - **[iLobby - Find new friends](https://marlvel.ai/intel-report/lifestyle/ilobby-find-new-friends)** by Ercan Fidan: iLobby competes for the same social discovery audience by focusing on proximity-based connection and direct messaging. - Shake-to-discover functionality provides a gamified, low-friction entry point for users seeking immediate social interaction. - Profile highlighting features allow for greater visibility compared to Commonplace's potentially more passive AI-matching approach. ### Peers (What They Do Better) - **[1km -New relationships, Groups](https://marlvel.ai/intel-report/social-networking/1km-new-relationships-groups)** by Malang Studio Co. Ltd,: 1km focuses on hyper-local social networking, competing for users interested in proximity-based community building. - Visitor tracking features provide a sense of real-time activity and social momentum within the local community. - Integrated group and club functionality encourages sustained engagement beyond one-on-one conversations. - **[GameTree - Find Gaming Friends](https://marlvel.ai/intel-report/social-networking/gametree-find-gaming-friends)** by GameTree PBC: GameTree uses AI-driven matchmaking to connect users based on shared interests, specifically within the gaming vertical. - Discord LFG bot integration provides utility directly within the platforms where the target audience already spends time. - Specialized AI matchmaking algorithms are tuned for gaming compatibility, offering higher precision than generalist social apps. - **[Buzz - Make friends](https://marlvel.ai/intel-report/social-networking/buzz-make-friends)** by Mapmate Interactive Limited: Buzz operates in the same social discovery category, leveraging interest-based matching to connect users. - Bitmoji integration provides a personalized, expressive visual layer that enhances the standard chat experience. - Established user base and high rating count signal strong product-market fit for casual social discovery. - **[totwoo](https://marlvel.ai/intel-report/social-networking/totwoo)** by BEIJING XINYOULINGXI TECHNOLOGY CO.LTD: Totwoo focuses on the intersection of technology and interpersonal connection, mirroring Commonplace's goal of facilitating meaningful interaction. - Proprietary 'Love Code' system adds a unique, gamified layer to digital communication between connected users. - Dedicated focus on long-distance relationship maintenance differentiates it from general-purpose social discovery platforms. ### New Kids on the Block (What's Innovative) - **[마주](https://marlvel.ai/intel-report/lifestyle/an-offline-network-where-you-meet-through-qr-codes)** by lvher: A new entrant in the lifestyle category that emphasizes relationship growth and proximity-based connection. - Relationship growth systems incentivize long-term retention by rewarding users for consistent interaction and meeting management. ## What's New - **Latest (v0.2.12, 2 weeks ago):** General bug fixes. ## App Momentum (Maintenance) {#momentum} - Launched on iOS in March 2025. - Maintains minimal update cadence. > **Cadence:** 1 total versions · 0 majors in last 6 months · 14 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Commonplace. is an established social networking app that is completely free. > **Bottom Line:** Commonplace offers a distinct matching mechanism but lacks the user density required for social discovery, so the PM should prioritize building a viral growth loop over further algorithm refinement. **Best for:** Individuals seeking conversational social networking matched by automated systems. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] [HIGH IMPACT] Implement a referral loop because the app lacks organic user liquidity → increase new-user conversion. — *The app has zero rating count and no observable user base.* _(trade-off: deprioritize Pause the AI-matching refinement sprint — matching is useless without users.)_ ### Feature Gaps vs Competitors - Social handle integration (available in Renz) - Proximity-based discovery (available in iLobby) - Psychological testing (available in Teamo) ### Outlook: Stable The social discovery market is consolidating around apps with high network density, leaving low-liquidity entrants like Commonplace at a significant disadvantage. Without a pivot toward a specific niche or a viral growth mechanism, the current matching model will struggle to gain traction against established incumbents. - ⚪ The app remains in a pre-traction phase with no rating activity, indicating that the current matching mechanism has not yet reached a critical mass of users. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 1 analyzed | | Trend | Stable | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Commonplace.** (this app) | N/A/5 | N/A | Robert Gilchrist Jaros | | [Tinder Dating App: Date & Chat](https://marlvel.ai/intel-report/lifestyle/tinder-dating-app-date-chat) | 4.2/5 | N/A | Tinder LLC | | [Renz - Make New Friends](https://marlvel.ai/intel-report/social-networking/renz-make-new-friends) | 4.8/5 | Excited | Renz Inc. | | [Buzz - Make friends](https://marlvel.ai/intel-report/social-networking/buzz-make-friends) | 4.4/5 | Mixed | Mapmate Interactive Limited | | [1km -New relationships, Groups](https://marlvel.ai/intel-report/social-networking/1km-new-relationships-groups) | 4.5/5 | Mixed | Malang Studio Co. Ltd, | | [Сайт знакомств с иностранцами](https://marlvel.ai/intel-report/social-networking/sait-znakomstv-s-inostrantsami) | 4.2/5 | N/A | TEAMO.RU, OOO | ## Company Profile - **Developer:** Robert Gilchrist Jaros - **Website:** [https://www.commonplace.chat](https://www.commonplace.chat) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/commonplace/id6743141224?uo=4) - **Dev Site:** [Official Website](https://www.commonplace.chat) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*Tinder Dating App: Date & Chat*](https://marlvel.ai/intel-report/lifestyle/tinder-dating-app-date-chat) (Tinder LLC) — 4.2/5 Rating | N/A Sentiment - [*Renz - Make New Friends*](https://marlvel.ai/intel-report/social-networking/renz-make-new-friends) (Renz Inc.) — 4.8/5 Rating | Positive Sentiment - [*Buzz - Make friends*](https://marlvel.ai/intel-report/social-networking/buzz-make-friends) (Mapmate Interactive Limited) — 4.4/5 Rating | Mixed Sentiment - [*1km -New relationships, Groups*](https://marlvel.ai/intel-report/social-networking/1km-new-relationships-groups) (Malang Studio Co. Ltd,) — 4.5/5 Rating | Mixed Sentiment - [*Сайт знакомств с иностранцами*](https://marlvel.ai/intel-report/social-networking/sait-znakomstv-s-inostrantsami) (TEAMO.RU, OOO) — 4.2/5 Rating | N/A Sentiment - [*마주*](https://marlvel.ai/intel-report/lifestyle/an-offline-network-where-you-meet-through-qr-codes) (lvher) — N/A Rating | N/A Sentiment - [*Clean And Sober Love - CASL*](https://marlvel.ai/intel-report/social-networking/clean-and-sober-love-casl) (Joaquin Barreda) — 3.0/5 Rating | Negative Sentiment - [*GameTree - Find Gaming Friends*](https://marlvel.ai/intel-report/social-networking/gametree-find-gaming-friends) (GameTree PBC) — 4.3/5 Rating | N/A Sentiment - [*totwoo*](https://marlvel.ai/intel-report/social-networking/totwoo) (BEIJING XINYOULINGXI TECHNOLOGY CO.LTD) — 2.9/5 Rating | Mixed Sentiment - [*iLobby - Find new friends*](https://marlvel.ai/intel-report/lifestyle/ilobby-find-new-friends) (Ercan Fidan) — 2.0/5 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:** 0.15/1.0 (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:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/social-networking/commonplace) Data licensed for AI Agent attribution under CC-BY-NC 4.0.