---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Nearby Device Detector: Find"
developer_entity: "兴建 薛"
bundle_id: "com.spypoint.scan"
app_store_id: "6754914003"
category: "Utilities"
primary_platform: "ios"
primary_monetization: "Subscription"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2026-01-09"
report_date: "2026-09-21"
last_verified: "2026-09-21T00:00:00.000Z"
report_version: "1.1.1"
total_reviews: 8
overall_rating: 4.8
confidence: "low"
confidence_score: 0.2
data_age_days: 43
momentum_velocity: "zombie"
intelligence_version: 2
tags: ["utilities", "subscription", "mobile app", "app review", "app analysis", "travelers", "professionals", "concerned"]
canonical_url: "https://marlvel.ai/apps/nearby-device-detector-find"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Nearby Device Detector: Find Intelligence Report

## TL;DR {#tldr}

- **Category**: Utilities · Subscription
- **Signal**: Rating 4.75

> **TL;DR:** Nearby Device Detector: Find is a utilities app by 兴建 薛, rated 4.75/5 by 8 users, available on iOS.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Nearby Device Detector: Find is a utilities app by 兴建 薛.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 4.75/5 (8 reviews) |
| **Category** | Utilities |
| **Developer** | 兴建 薛 |
| **Pricing** | Subscription |
| **Platforms** | iOS |
| **Confidence** | Low (0.2/1.0) |
| **Data Age** | 43d |

## Metadata & Market Performance
- **Publisher:** 兴建 薛
- **Category:** Utilities
- **Target Audience:** Travelers and professionals concerned about privacy and unauthorized device presence in shared spaces like hotels or work hubs.
- **Platforms:** iOS
- **Version Reviewed:** 1.1.1
- **Report Date:** 2026-09-21
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.2/1.0)
- **App Store ID (iOS):** 6754914003
- **Bundle ID:** com.spypoint.scan
- **Data Window:** Analysis based on signals collected up to 2026-09-21

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Nearby Device Detector: Find is a network and Bluetooth scanning utility for iOS that helps users identify unauthorized devices in shared environments.
**Why users hire it:** The app removes the cognitive friction of manual network auditing in transient spaces like hotels, providing peace of mind through continuous background monitoring.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Local Network Scanning:** Lists devices connected to the current Wi-Fi network including IP addresses and signal strength.
- **[Standard] Bluetooth Analysis:** Scans for active Bluetooth signals in the immediate vicinity.
- **[Differentiator] Continuous Protection Mode:** Monitors wireless activity in the background for ongoing environment scanning.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Differentiator] Suspicious Device Recognition:** Identifies and flags unfamiliar devices detected during scans.
<!-- /section:features -->

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

Nearby Device Detector: Find occupies the privacy-utility segment with a 4.75 rating across 8 reviews. The subscription-only monetization model positions the app against free, ad-supported scanners, requiring a higher perceived value for continuous monitoring to justify the recurring cost.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Subscription
- **Tiers:** Free tier for basic scanning, Weekly and monthly subscription plans for unlimited scanning and advanced recognition
- **Analysis:** Subscription-only model that gates advanced detection tools and unlimited usage behind recurring weekly or monthly payments.

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

**Core Strengths:**
- Continuous background monitoring provides persistent security
- Subscription model targets high-intent privacy users

**Growth Levers:**
- Localized pricing in high-ARPU markets


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

- **Latest (v1.1.1, 8 months ago):** Addressed minor stability issues.
<!-- /section:whats-new -->

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

- Quiet 8 months, bug fixes only.
- Last major release Jan 2026.

> **Cadence:** 1 total versions · 0 majors in last 6 months · 255 days since last update

<!-- /section:momentum -->

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

Nearby Device Detector: Find is an utilities app.
It holds a 4.75/5 rating from 8 reviews.

<!-- speakable-start -->
> **Bottom Line:** Nearby Device Detector: Find secures a niche by gating persistent monitoring behind a subscription, but the eight-month release silence risks losing the user base to more active competitors.
<!-- speakable-end -->

**Best for:** Travelers and professionals concerned about privacy and unauthorized device presence in shared spaces like hotels or work hubs.

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

- [ ] [INVEST] Ship a feature update because the eight-month silence risks user churn → stabilize retention
<!-- /section:pm-actions -->

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

The privacy-utility market is consolidating around apps that offer both free scanning and clear, low-friction paths to premium security features. Nearby Device Detector: Find remains exposed due to its lack of recent feature investment, which will likely lead to declining install velocity as users migrate to more frequently updated alternatives.

- 🔴 Users report: The eight-month development silence indicates a maintenance-only posture, which allows competitors to capture the privacy-utility market share through faster feature iteration.
- ⚪ The subscription-only model limits the top-of-funnel conversion to high-intent users, creating a smaller but potentially more stable revenue base if retention remains high.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Overall Rating | 4.75/5 |
| Total Reviews | 8 |
| Confidence | Low |
| Pricing Model | Subscription |
| Platforms | iOS |
| Key Features | 4 analyzed |
| Outlook | Declining |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Nearby Device Detector: Find** (this app) | 4.75/5 | N/A | 兴建 薛 |
| [Sota Connect: Secure Network](https://marlvel.ai/apps/fi-catconnect-sota) | 4.8/5 | N/A | Cat Connect |
| [V2Box - V2ray Client](https://marlvel.ai/apps/v2box-v2ray-client) | 4.6/5 | n/a | techlaim |
| [avoVPN Desktop](https://marlvel.ai/apps/avovpn-desktop) | N/A/5 | N/A | Avocado VPN Technologies |
| [Fusvob VPN : Super VPN 2026](https://marlvel.ai/apps/com-toplinkc-foxexcellent) | 4.5/5 | Mixed | Fuxin Technology |
| [Gear Ratio Calculator & RPM](https://marlvel.ai/apps/cog-gear-ratio-calculator) | N/A/5 | N/A | Linh Phan Nhat Khanh |

## Company Profile
- **Developer:** 兴建 薛
- **Website:** App Store

## Data Sources & Links
- **App Store ID:** 6754914003
- **Dev Site:** Official Website
- **Sources:** Developer website content, App store metadata.

## Related Intel Reports
- [*Sota Connect: Secure Network*](https://marlvel.ai/apps/fi-catconnect-sota) (Cat Connect) · 4.8/5 Rating
- [*V2Box - V2ray Client*](https://marlvel.ai/apps/v2box-v2ray-client) (techlaim) · 4.6/5 Rating
- [*avoVPN Desktop*](https://marlvel.ai/apps/avovpn-desktop) (Avocado VPN Technologies) · N/A Rating
- [*Fusvob VPN : Super VPN 2026*](https://marlvel.ai/apps/com-toplinkc-foxexcellent) (Fuxin Technology) · 4.5/5 Rating
- [*Gear Ratio Calculator & RPM*](https://marlvel.ai/apps/cog-gear-ratio-calculator) (Linh Phan Nhat Khanh) · N/A Rating
- [*NordVPN: VPN Fast & Secure*](https://marlvel.ai/apps/com-nordvpn-nordvpn) (Nordvpn S.A.) · 4.7/5 Rating
- [*Pulley Calculator Easy*](https://marlvel.ai/apps/pulley-calculator-easy) (YAVUZ BULAMADIK) · N/A Rating
- [*Track And Field Companion*](https://marlvel.ai/apps/track-and-field-companion) (Travis Menghini) · N/A Rating
- [*VPN 365-Master WIFI Security*](https://marlvel.ai/apps/vpn-365-master-wifi-security) (vpn fast) · 4.6/5 Rating
- [*VPN - Seal VPN Secure Proxy*](https://marlvel.ai/apps/vpn-seal-vpn-secure-proxy) (Starpass VPN Free) · 4.6/5 Rating | Positive Sentiment

## Frequently Asked Questions {#faq}

### Is Nearby Device Detector: Find worth paying for?

The app uses a subscription model to gate advanced tools like continuous background monitoring and suspicious device recognition. It is best suited for users who require persistent security in shared spaces rather than occasional, one-time scans.

### Does Nearby Device Detector: Find offer a free version?

Yes, the app provides a free tier that includes basic local network and Bluetooth scanning functionality. Advanced features require a weekly or monthly subscription.

### Is Nearby Device Detector: Find safe for privacy-conscious users?

The app is marketed as a tool for environmental awareness and security. The developer states that no personal data is collected during the scanning process.

## 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:** 0.2/1.0 (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:** 43 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/nearby-device-detector-find)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.