---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "iLobby - Find new friends"
developer_entity: "Ercan Fidan"
bundle_id: "com.prothon.ilobby"
app_store_id: "1546276010"
google_play_id: "com.getlobby.app"
category: "Lifestyle"
primary_platform: "ios"
primary_monetization: "Freemium"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2026-03-06"
report_date: "2026-05-15"
last_verified: "2026-05-15T14:50:26.467Z"
report_version: "1.0"
total_reviews: 3
overall_rating: 2
confidence: "low"
confidence_score: 0.2
data_age_days: 7
momentum_velocity: "zombie"
intelligence_version: 3
nemesis: "Tinder Dating App: Date & Chat"
competitor_count: 10
tags: ["lifestyle", "freemium", "mobile app", "app review", "app analysis", "individuals", "seeking", "social"]
canonical_url: "https://marlvel.ai/intel-report/lifestyle/ilobby-find-new-friends"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# iLobby - Find new friends App Audit

## TL;DR {#tldr}

- **Category**: Lifestyle · Freemium
- **Signal**: Rating 2

> **TL;DR:** iLobby - Find new friends is a lifestyle app by Ercan Fidan, rated 2/5 by 3 users, available on iOS & Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** iLobby - Find new friends is a lifestyle app by Ercan Fidan.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 2/5 (3 reviews) |
| **Category** | Lifestyle |
| **Developer** | Ercan Fidan |
| **Pricing** | Freemium |
| **Platforms** | iOS & Android |
| **Confidence** | Low (0.2/1.0) |
| **Data Age** | 0d |

## Metadata & Market Performance
- **Publisher:** Ercan Fidan
- **Category:** Lifestyle
- **Target Audience:** Individuals seeking social connections or dating opportunities through location-based discovery and direct messaging.
- **Platforms:** iOS & Android
- **Version Audited:** 1.0
- **Audit Date:** 2026-05-15
- **Signal Count:** 3 reviews analyzed
- **Confidence:** Low (0.2/1.0)
- **App Store ID (iOS):** 1546276010
- **Bundle ID:** com.prothon.ilobby
- **Google Play ID:** com.getlobby.app
- **Performance Trend:** Declining
- **Data Window:** Analysis based on signals collected up to 2026-05-15

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** iLobby is a social discovery application for iOS and Android that facilitates direct messaging between users without requiring mutual matches.
**Why users hire it:** Users hire iLobby to bypass the psychological friction of traditional dating app matching systems, seeking immediate, low-stakes social interaction.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] Shake-to-Discover:** Physical phone movement triggers discovery of nearby users
  * *User Intent:* Users want to quickly find relevant content or features.
- **[Differentiator] Direct Messaging:** Initiate chats with any user without waiting for a mutual match
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
- **[Standard] Profile Highlighting:** Boosts profile visibility in the discovery feed for premium users
  * *User Intent:* Users want to quickly find relevant content or features.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

iLobby maintains a minimal footprint in the Lifestyle category with a 2.0 rating on iOS and no active user base on Android. The lack of review volume signals that the app has failed to gain traction against established discovery platforms.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Freemium
- **Tiers:** Free tier with ad support, Premium tier with profile highlighting and advanced search filters
- **Analysis:** Freemium model gates visibility and discovery tools behind a premium subscription to monetize user intent.

<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- Direct messaging model removes the psychological barrier of waiting for mutual matches

**Critical Frictions:**
- 2.0★ iOS rating on 3 reviews signals poor initial user experience
- No safety verification infrastructure

**Growth Levers:**
- Niche community focus on specific interests could differentiate from broad-market discovery apps

**Market Threats:**
- Tinder's massive user liquidity creates a barrier to entry
- Wizz's mandatory ID verification creates a safer environment for users

<!-- /section:swot -->
## Recent Changes (v2 → v3) {#recent-changes}

The app has pivoted its roadmap toward safety and interest-based matching to combat low user trust and high churn, while updating its competitive benchmarking to reflect current market threats.

**Overall trend**: Declining
**Compared at**: 2026-05-15

### High-impact changes
- **[Shifted] Strategic Roadmap Pivot** (positioning) — PM action items shifted from general trust-building to specific mandates: mandatory photo verification and interest-based matching.
- **[Shifted] Competitive Threat Re-calibration** (swot) — Threats updated from generic network effects to specific competitor benchmarks: Tinder's liquidity and Wizz's mandatory ID verification.
- **[Shifted] Competitive Landscape Refresh** (positioning) — The competitive set was replaced, moving from legacy players like Badoo and Skout to high-growth discovery apps including Tinder, Wizz, and Renz.

### Medium-impact changes
- **[Shifted] Feature Gap Focus** (features) — Feature gaps updated from generic live video/verification to specific missing mechanisms: mandatory ID verification and interest-based filtering.

<!-- section:rivals -->
## Rivals Landscape {#rivals}

> Competitive positioning identified by AI analysis of app features, category, and market signals.

### iLobby - Find new friends 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 global social discovery and dating market, directly competing with iLobby's goal of connecting users for chat without traditional friction.
  - **Key differences:**
    - Global scale and massive user liquidity create a network effect iLobby cannot currently match.
    - Advanced safety features like photo verification provide a trust layer that iLobby lacks entirely.
    - Passport and Priority Likes monetization models offer premium discovery tools beyond basic chat access.
  - **Where iLobby - Find new friends wins:**
    - ✅ Offers immediate, uninhibited chat access without the psychological barrier of waiting for a mutual match.
    - ✅ Lower barrier to entry for users who find traditional swipe-based dating apps overly gamified or frustrating.
  - **Where Tinder Dating App: Date & Chat wins:**
    - ❌ Unrivaled brand recognition and massive active user base ensure high-quality, localized connection opportunities.
    - ❌ Robust safety and verification infrastructure significantly reduces the risk of spam and bot interactions.
  - **Verdict:** iLobby should pivot toward a 'no-match-required' niche community strategy to avoid direct feature-parity battles with Tinder's massive scale.

### Contenders (Strong Challengers)
- **[Wizz App - chat now](https://marlvel.ai/intel-report/social-networking/wizz-app-chat-now)** by VLB: Wizz is a direct threat in the instant-chat discovery space, offering a similar 'chat now' value proposition to a younger demographic.
  - Implements mandatory ID verification to maintain a safer environment for younger users seeking instant chat.
  - High-frequency release cadence allows for rapid UX iteration based on real-time user engagement data.
- **[Renz - Make New Friends](https://marlvel.ai/intel-report/social-networking/renz-make-new-friends)** by Renz Inc.: Renz is a high-growth social discovery app that competes for the same 'make new friends' user intent as iLobby.
  - Leverages social handle integration to verify identity and build credibility across multiple digital platforms.
  - Utilizes interest-based filtering to ensure higher quality connections compared to iLobby's open chat model.
- **[Clean And Sober Love - CASL](https://marlvel.ai/intel-report/social-networking/clean-and-sober-love-casl)** by Joaquin Barreda: CASL competes for the same social networking demographic but narrows the focus to a specific lifestyle-based community.
  - Provides a highly specialized sober-only matching environment that builds deep trust within a specific niche.
  - Includes utility-focused features like a treatment center directory that adds value beyond simple social interaction.
- **[Сайт знакомств с иностранцами](https://marlvel.ai/intel-report/social-networking/sait-znakomstv-s-inostrantsami)** by TEAMO.RU, OOO: This app targets users seeking international connections, overlapping with iLobby's promise of global chat accessibility.
  - Integrates psychological testing to improve compatibility, whereas iLobby relies on open-ended user discovery.
  - Focuses on a structured premium account model that prioritizes serious relationship seekers over casual chatters.

### 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 discovery, competing for users who want to find people in their immediate vicinity.
  - Features visitor tracking and group-based social discovery that encourages community building rather than just 1-on-1 chat.
  - Offers a mature ecosystem of '1km' branded features that provide a comprehensive suite of social tools.
- **[GameTree - Find Gaming Friends](https://marlvel.ai/intel-report/social-networking/gametree-find-gaming-friends)** by GameTree PBC: GameTree serves the social discovery market by narrowing the scope to gaming, a common interest for iLobby's target demographic.
  - Uses AI-driven matchmaking to pair users based on gaming preferences and personality traits, increasing retention.
  - Provides a Discord LFG bot integration that bridges the gap between app discovery and external community platforms.
- **[Buzz - Make friends](https://marlvel.ai/intel-report/social-networking/buzz-make-friends)** by Mapmate Interactive Limited: Buzz operates in the casual social discovery category, utilizing swipe mechanics to facilitate new friend connections.
  - Integrates Bitmoji to allow for more expressive and personalized communication within the chat interface.
  - Uses interest-based matching algorithms to reduce the randomness of discovery found in iLobby.
- **[totwoo](https://marlvel.ai/intel-report/social-networking/totwoo)** by BEIJING XINYOULINGXI TECHNOLOGY CO.LTD: Totwoo targets the relationship-building space, focusing on digital-to-physical connection features for couples and friends.
  - Combines hardware-linked 'Love Code' features with app-based communication to create a unique physical-digital hybrid experience.
  - Focuses on long-term relationship maintenance rather than the casual, short-term discovery model used by iLobby.

### 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 proximity-based connections and relationship growth systems.
  - Introduces a gamified relationship growth system that rewards users for sustained interaction and meeting management.

<!-- /section:rivals -->
<!-- section:whats-new -->
## What's New

- **Latest (v3.2.12, 2 months ago):** General bug fixes and performance improvements.
<!-- /section:whats-new -->

<!-- section:momentum -->
## App Momentum (Zombie) {#momentum}

- Released Android build in Dec 2025.
- No significant feature updates since launch.

> **Cadence:** 2 total versions · 0 majors in last 6 months · 70 days since last update · 1821 days avg between updates

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

iLobby - Find new friends is an established lifestyle app that is free with in-app purchases.
With a 2/5 rating from 3 reviews, it shows polarized user reception.

<!-- speakable-start -->
> **Bottom Line:** iLobby offers a low-friction alternative to swipe-based apps, but its lack of safety verification prevents it from building a sustainable user base, so the PM must prioritize trust-building features to prevent total churn.
<!-- speakable-end -->

**Best for:** Individuals seeking social connections or dating opportunities through location-based discovery and direct messaging.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [INVEST] [HIGH IMPACT] Ship mandatory photo verification — *Lack of trust is the primary barrier to user retention in social discovery apps.* _(trade-off: deprioritize Pause the development of new discovery filters to prioritize safety infrastructure.)_
- [ ] [PIVOT] [MEDIUM IMPACT] Pivot discovery algorithm to interest-based matching — *Current random discovery leads to low-quality connections and high churn.* _(trade-off: deprioritize Deprioritize the Shake-to-Discover feature maintenance.)_
<!-- /section:pm-actions -->

<!-- section:feature-gaps -->
### Feature Gaps vs Competitors

- Mandatory ID verification (available in Wizz App but absent here)
- Interest-based filtering (available in Renz but absent here)
<!-- /section:feature-gaps -->

<!-- section:outlook -->
### Outlook: Declining

The social discovery market is consolidating around apps that prioritize safety and high-quality connections. iLobby's current trajectory is unsustainable due to the lack of user liquidity and safety features, so the PM must pivot to a niche community strategy to survive.

- 🔴 The lack of Android rating activity post-launch suggests zero new user acquisition, which limits the potential for network effects.
- 🔴 The 2.0 rating on iOS indicates that the core chat experience is failing to meet user expectations, accelerating churn.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 2/5 |
| Total Reviews | 3 |
| Confidence | Low |
| Pricing Model | Freemium |
| Platforms | iOS & Android |
| Key Features | 3 analyzed |
| Trend | Declining |
| Outlook | Declining |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **iLobby - Find new friends** (this app) | 2/5 | N/A | Ercan Fidan |
| [Tinder Dating App: Date & Chat](https://marlvel.ai/intel-report/lifestyle/tinder-dating-app-date-chat) | 4.2/5 | Mixed | Tinder LLC |
| [Wizz App - chat now](https://marlvel.ai/intel-report/social-networking/wizz-app-chat-now) | 4.2/5 | Upset | VLB |
| [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, |

## Company Profile
- **Developer:** Ercan Fidan

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/ilobby-find-new-friends/id1546276010?uo=4)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.getlobby.app&hl=en&gl=us)
- **Sources:** App store metadata, User reviews.

## 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 | Mixed Sentiment
- [*Wizz App - chat now*](https://marlvel.ai/intel-report/social-networking/wizz-app-chat-now) (VLB) — 4.2/5 Rating | Terrible 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

## 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:** 3
- **Data Sources:** user reviews, 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/lifestyle/ilobby-find-new-friends)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.