---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Http Screen Mirror"
developer_entity: "Leszek Szary"
bundle_id: "com.ls.Http-Screen-Mirror"
app_store_id: "1581565640"
category: "Utilities"
primary_platform: "ios"
primary_monetization: "Paid"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2025-12-15"
report_date: "2026-04-08"
report_version: "1.1.2"
total_reviews: 25
overall_rating: 4.84
sentiment: "Thrilled"
sentiment_score: 90
confidence: "low"
confidence_score: 0.6
data_age_days: 0
intelligence_version: 2
nemesis: "Replica"
competitor_count: 11
tags: ["utilities", "paid", "thrilled sentiment", "mobile app", "app review", "app analysis", "users", "simple,", "privacy-focused"]
canonical_url: "https://marlvel.ai/intel-report/utilities/http-screen-mirror"
license: "CC-BY-NC 4.0"
---

# Http Screen Mirror App Audit

> **TL;DR:** Http Screen Mirror is a utilities app by Leszek Szary, rated 4.84/5 by 25 users, with Thrilled user sentiment (90/100), available on iOS.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Http Screen Mirror has Thrilled user sentiment with a 4.84/5 rating from 25 reviews.
<!-- speakable-end -->

## Metadata & Market Performance
- **Publisher:** Leszek Szary
- **Category:** Utilities
- **Target Audience:** Users who need a simple, privacy-focused way to display their iPhone screen on other devices without relying on cloud services or complex software installations.
- **Platforms:** iOS
- **Version Audited:** 1.1.2
- **Audit Date:** 2026-04-08
- **Signal Count:** 25 reviews analyzed
- **Confidence:** Low (0.6/1.0)
- **App Store ID (iOS):** 1581565640
- **Bundle ID:** com.ls.Http-Screen-Mirror
- **Data Window:** Analysis based on signals collected up to 2026-04-08

## Executive Snapshot
Http Screen Mirror is a privacy-focused iOS utility that allows users to mirror their screens to any device with a web browser via a local HTTP stream. By operating entirely over Wi-Fi without external servers, it provides a secure and offline-capable alternative to traditional mirroring apps. It targets users who need cross-platform compatibility without the friction of installing receiver software, positioning itself as a premium, one-time purchase tool.

## App DNA (Features & Intent)
- **[Differentiator] Browser-based Screen Mirroring:** Mirrors the iPhone screen to any device equipped with a web browser via local network.
- **[Differentiator] Local Network Connectivity:** Operates entirely over Wi-Fi without requiring an active internet connection or external servers.
- **[Standard] Cross-Platform Compatibility:** Supports mirroring to computers, Smart TVs, and other mobile devices through standard web browsers.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.

## Monetization Strategy
- **Model:** Paid
- **Tiers:** One-time purchase of $3.99
- **Price:** iOS: $3.99
- **Analysis:** The app utilizes a straightforward, one-time purchase model, positioning itself as a low-cost utility tool without the recurring friction of subscriptions or the privacy concerns of ad-supported models.

## 🟢 User Sentiment (Low Confidence: 25 reviews)
- **Overall Rating:** 4.84/5
- **Platform Split:** iOS 4.8/5 (25 ratings)
- **Overall Sentiment:** Thrilled

## SWOT Analysis

**Core Strengths:**
- High user rating (4.84) indicating technical stability
- Privacy-first local-only architecture
- No receiver-side software installation required
- Transparent one-time purchase model

**Critical Frictions:**
- No support for audio streaming
- Low review volume (25 ratings)
- iOS-only availability
- Minimal social media or marketing presence

**Growth Levers:**
- Targeting education and secure corporate environments
- Developing low-latency audio support
- Expanding to the Android market
- Capitalizing on the growing demand for privacy-centric apps

**Market Threats:**
- Native OS features like AirPlay to Mac
- Freemium competitors with aggressive user acquisition
- Advancements in browser-based casting standards

## Rivals Landscape

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

### Http Screen Mirror vs Replica — Head to Head
- **Replica** by Tiago Martinho: The leading direct competitor focusing on mirroring iPhone screens to web browsers and TVs with a similar emphasis on simplicity.

### Contenders (Strong Challengers)
- **Screen Mirroring App** by 2kit consulting: A long-standing competitor that uses the same browser-based receiver model to bypass the need for specialized hardware.
- **Mirroring360 Sender** by Splashtop Inc.: An enterprise-focused alternative that provides reliable local network mirroring to computers and web browsers.
- **DoCast** by Luni: A highly-rated utility that simplifies mirroring to various receivers, competing on ease-of-use and connection stability.
- **Mirror for PC & Mac** by AirBeamTV BV: Specifically targets the 'mirror to computer' use case using local network streaming similar to the analyzed app.

### Peers (What They Do Better)
- **TeamViewer QuickSupport** by TeamViewer Germany GmbH: While focused on support, it provides the same core 'screen sharing' job for users needing to show their screen to a remote device.
- **AnyDesk** by AnyDesk Software GmbH: A broader remote access tool that users often turn to for high-performance screen sharing over local and external networks.
- **Cast for Chromecast** by Benjamin Somer: A popular utility in the same category that handles local network casting, though focused on Chromecast hardware.
- **VNC Viewer** by RealVNC: A technical alternative for users who want to view mobile or desktop screens over a local network.

### New Kids on the Block (What's Innovative)
- **Screen Mirroring - Cast to TV** by Vulcan Labs: A fast-growing competitor with high update frequency and aggressive user acquisition in the screen sharing space.
- **Mirroring - Screen Mirroring** by Appofit: A newer entry focusing on a streamlined UI and quick local network discovery for mirroring.

## The "So What?" (Strategic Takeaway)

Http Screen Mirror is a market-leading utilities app that is a paid app.
With a 4.84/5 rating from 25 reviews, it delivers strong user satisfaction.

**Strategic Opportunity:** While Http Screen Mirror benefits from high user rating (4.84) indicating technical stability, its vulnerability lies in no support for audio streaming. A challenger could exploit this by focusing on targeting education and secure corporate environments.

**Best for:** Users who need a simple, privacy-focused way to display their iPhone screen on other devices without relying on cloud services or complex software installations.

## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 4.84/5 |
| Total Reviews | 25 |
| Sentiment | Thrilled (90/100) |
| Confidence | Low |
| Pricing Model | Paid |
| Platforms | iOS |
| Key Features | 3 analyzed |

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Http Screen Mirror** (this app) | 4.84/5 | Thrilled | Leszek Szary |
| [Potatso](https://marlvel.ai/intel-report/utilities/potatso) | 4.4/5 | Frustrated | Potatso Lab LTD |
| [Quantumult X](https://marlvel.ai/intel-report/utilities/quantumult-x) | 3.9/5 | Frustrated | Cross Utility Ltd |
| [Free VPN by Free VPN .org™](https://marlvel.ai/intel-report/utilities/free-vpn-by-free-vpn-org) | 4.5/5 | Mixed | Free VPN LLC |
| [V2Box - V2ray Client](https://marlvel.ai/intel-report/utilities/v2box-v2ray-client) | 4.7/5 | Mixed | techlaim |
| [SmartHomeQR](https://marlvel.ai/intel-report/utilities/smarthomeqr) | 5.0/5 | N/A | Vishut Dhar |

## Company Profile
- **Developer:** Leszek Szary
- **Website:** [https://omomomo.com/app/hsm/](https://omomomo.com/app/hsm/)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/http-screen-mirror/id1581565640?uo=4)
- **Dev Site:** [Official Website](https://omomomo.com/app/hsm/)
- **Sources:** Developer website content, App store metadata, User reviews.

## Related Intel Reports
- [*Potatso*](https://marlvel.ai/intel-report/utilities/potatso) (Potatso Lab LTD) — 4.4/5 Rating | Negative Sentiment
- [*Quantumult X*](https://marlvel.ai/intel-report/utilities/quantumult-x) (Cross Utility Ltd) — 3.9/5 Rating | Negative Sentiment
- [*Free VPN by Free VPN .org™*](https://marlvel.ai/intel-report/utilities/free-vpn-by-free-vpn-org) (Free VPN LLC) — 4.5/5 Rating | Mixed Sentiment
- [*V2Box - V2ray Client*](https://marlvel.ai/intel-report/utilities/v2box-v2ray-client) (techlaim) — 4.7/5 Rating | Mixed Sentiment
- [*SmartHomeQR*](https://marlvel.ai/intel-report/utilities/smarthomeqr) (Vishut Dhar) — 5.0/5 Rating | N/A Sentiment
- [*QQ通讯录-最快最智能的通讯录*](https://marlvel.ai/intel-report/utilities/qq-1) (Tencent Mobile International Limited) — 2.3/5 Rating | Terrible Sentiment
- [*Gboard – the Google Keyboard*](https://marlvel.ai/intel-report/utilities/gboard-the-google-keyboard-1) (Google) — 4.0/5 Rating | Positive Sentiment
- [*nasin sitelen Wakalito*](https://marlvel.ai/intel-report/utilities/nasin-sitelen-wakalito) (Theodore Dubois) — 3.8/5 Rating | N/A Sentiment
- [*Upfun*](https://marlvel.ai/intel-report/utilities/com-mengdong-cookiecam) (香港萌动科技集團有限公司) — N/A Rating | N/A Sentiment
- [*Modulus Calculator*](https://marlvel.ai/intel-report/utilities/modulus-calculator) (Theodore Dubois) — 4.8/5 Rating | Excellent Sentiment

## Methodology

This report was generated by Marlvel.ai's 3-stage AI intelligence pipeline:

1. **Feature & Positioning Extraction** — Analyzes app metadata, developer website content, and version history to identify key features, target audience, and competitive positioning.
2. **Sentiment Analysis** — Processes user reviews (minimum 5 reviews required) to extract praise themes, complaint themes, and overall sentiment with evidence quotes.
3. **Intelligence Synthesis** — Combines stages 1 & 2 with App Store rankings to produce SWOT analysis, executive summary, and actionable insights.

- **Confidence Score:** 0.6/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 25
- **Data Sources:** user reviews, 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/utilities/http-screen-mirror)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.