--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "SOTA Log" developer_entity: "Christopher Hunt" bundle_id: "com.sotalog.app" app_store_id: "6759876471" category: "Utilities" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-06-02" report_date: "2026-06-30" last_verified: "2026-06-30T00:00:00.000Z" report_version: "1.7" total_reviews: 2 overall_rating: 5 confidence: "low" confidence_score: 0.2 data_age_days: 58 momentum_velocity: "maintenance" intelligence_version: 3 competitor_count: 6 tags: ["utilities", "free", "mobile app", "app review", "app analysis", "amateur", "radio", "operators"] canonical_url: "https://marlvel.ai/apps/sota-log" license: "CC-BY-NC 4.0" content_version: "v2" --- # SOTA Log Intelligence Report ## TL;DR {#tldr} - **Category**: Utilities · Free - **Signal**: Rating 5 > **TL;DR:** SOTA Log is a utilities app by Christopher Hunt, rated 5/5 by 2 users, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** SOTA Log is a utilities app by Christopher Hunt. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 5/5 (2 reviews) | | **Category** | Utilities | | **Developer** | Christopher Hunt | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 58d | ## Metadata & Market Performance - **Publisher:** Christopher Hunt - **Category:** Utilities - **Target Audience:** Amateur radio operators participating in SOTA and POTA programs who require rapid, field-ready logging tools. - **Platforms:** iOS - **Version Reviewed:** 1.7 - **Report Date:** 2026-06-30 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6759876471 - **Bundle ID:** com.sotalog.app - **Performance Trend:** Mixed - **Data Window:** Analysis based on signals collected up to 2026-06-30 ## Executive Snapshot **What it is:** SOTA Log is a specialized amateur radio utility for rapid, single-field contact logging on iOS. **Why users hire it:** Operators hire this tool to minimize time spent on device menus while activating remote summits, ensuring they spend more time on the air. ## App DNA (Features & Intent) - **[Differentiator] One-Field Logging:** Parses callsign, RST, frequency, mode, and references from a single text input line - **[Differentiator] SOTACat Radio Sync:** Automates frequency and mode synchronization with Elecraft KX2, KX3, and KH1 hardware * *User Intent:* Users expect seamless access across multiple devices. - **[Differentiator] SOTAmat SMS Spotting:** Enables self-spotting via SMS protocol without requiring cellular data connectivity * *User Intent:* Users seek enhanced value through premium features. ## Market Position {#market-position} SOTA Log occupies the specialized Utilities sub-segment for amateur radio, focusing on field-logging speed rather than the database-heavy planning tools of incumbents. The lack of monetization signals a hobbyist-first development posture that prioritizes utility over market share. ## Monetization Strategy - **Model:** Free - **Tiers:** Fully free application with no ads or paid gates - **Analysis:** The app operates as a free, privacy-focused utility with no current monetization or subscription model. ## SWOT Analysis {#swot} **Core Strengths:** - Single-field input mechanism reduces logging time - SOTACat hardware sync creates specialized workflow **Growth Levers:** - Integration with SOTAwatch3 would bridge database gap - Expansion into multi-operator logging ## Recent Changes (v2 → v3) {#recent-changes} The app shifted its strategic focus from hardware-specific synchronization to database integration to better compete with established incumbents. **Overall trend**: Mixed **Compared at**: 2026-06-30 ### High-impact changes - **[Shifted] Strategic Roadmap Pivot** (positioning) - **[Added] Competitive Threat Identification** (swot) ### Medium-impact changes - **[Added] Weakness Identification** (swot) ## What's New - **Latest (v1.7, 3 weeks ago):** Fixed callsign count accuracy and added support for standard reference forms in the parser. ## App Momentum (Maintenance) {#momentum} - Ships frequent updates for Elecraft hardware - Maintains offline-first utility focus > **Cadence:** 1 total versions · 0 majors in last 6 months · 27 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} SOTA Log is an established utilities app that is completely free. With a 5/5 rating from 2 reviews, it shows polarized user reception. > **Bottom Line:** SOTA Log excels at rapid field logging through its streamlined input mechanism, but the lack of a revenue model and database integration leaves it vulnerable to incumbents, so the PM should prioritize SOTAwatch3 integration to secure long-term utility. **Best for:** Amateur radio operators participating in SOTA and POTA programs who require rapid, field-ready logging tools. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Integrate SOTAwatch3 database because it is the industry standard for activation planning → reduce reliance on manual entry. ### Feature Gaps vs Competitors - Real-time DX spot notifications (available in DX Cluster monitor) ### Outlook: Stable The amateur radio utility market is consolidating around apps that offer both logging and real-time database access. SOTA Log remains a strong niche tool but faces pressure to integrate with external data sources to remain relevant for power users. - 🟢 The offline-first architecture ensures consistent performance in remote locations, which sustains the app's reputation as a reliable field tool. - 🔴 The absence of a monetization strategy limits the ability to scale development, which risks stagnation against better-funded competitors. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 5/5 | | Total Reviews | 2 | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Mixed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **SOTA Log** (this app) | 5/5 | N/A | Christopher Hunt | | [DX Cluster monitor](https://marlvel.ai/apps/cz-kucik-dxclusterapp) | 1.0/5 | N/A | Martin Kuera | | [RCForb Client](https://marlvel.ai/apps/com-remotehams-rcforb-client) | 4.2/5 | N/A | RemoteHams.com | | [SOTA Goat](https://marlvel.ai/apps/sota-goat) | 4.5/5 | Mixed | Rockwell Schrock | | [Robot72 - SSTV Decoder](https://marlvel.ai/apps/robot72-sstv-decoder) | N/A/5 | N/A | 晨阳 段 | | [APRS TV](https://marlvel.ai/apps/aprs-tv) | N/A/5 | N/A | Matthew Miller | ## Company Profile - **Developer:** Christopher Hunt - **Website:** [https://sotalog.nn6g.com](https://sotalog.nn6g.com) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/sota-log/id6759876471?uo=4) - **Dev Site:** [Official Website](https://sotalog.nn6g.com) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*DX Cluster monitor*](https://marlvel.ai/apps/cz-kucik-dxclusterapp) (Martin Kuera) · 1.0/5 Rating - [*RCForb Client*](https://marlvel.ai/apps/com-remotehams-rcforb-client) (RemoteHams.com) · 4.2/5 Rating - [*SOTA Goat*](https://marlvel.ai/apps/sota-goat) (Rockwell Schrock) · 4.5/5 Rating - [*Robot72 - SSTV Decoder*](https://marlvel.ai/apps/robot72-sstv-decoder) (晨阳 段) · N/A Rating - [*APRS TV*](https://marlvel.ai/apps/aprs-tv) (Matthew Miller) · N/A Rating - [*Record Shelf: CD & Vinyl*](https://marlvel.ai/apps/record-shelf-cd-vinyl) (Funattic Studio Ltd) · N/A Rating - [*Free VPN by Free VPN .org™*](https://marlvel.ai/apps/free-vpn-by-free-vpn-org) (Free VPN LLC) · 4.4/5 Rating - [*V2Box - V2ray Client*](https://marlvel.ai/apps/v2box-v2ray-client) (techlaim) · 4.5/5 Rating | Positive Sentiment - [*Quantumult X*](https://marlvel.ai/apps/quantumult-x) (Cross Utility Ltd) · 3.8/5 Rating - [*Potatso*](https://marlvel.ai/apps/potatso) (Potatso Lab LTD) · 4.4/5 Rating | Positive 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 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:** 58 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/sota-log) Data licensed for AI Agent attribution under CC-BY-NC 4.0.