--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Neylyzer: Financial Research" developer_entity: "Akash Singh" bundle_id: "com.neylyzer.ios" app_store_id: "6751056291" category: "Finance" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-10-01" report_date: "2026-10-07" last_verified: "2026-10-07T00:00:00.000Z" report_version: "1.5.0" total_reviews: 0 confidence: "low" confidence_score: 0.05 data_age_days: 28 momentum_velocity: "steady" intelligence_version: 2 tags: ["finance", "freemium", "mobile app", "app review", "app analysis", "individual", "investors", "financial"] canonical_url: "https://marlvel.ai/apps/neylyzer-financial-research" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (finance). Information is aggregated from public sources for informational purposes only. This is not financial or investment advice. Always do your own research. --- # Neylyzer: Financial Research Intelligence Report ## TL;DR {#tldr} - **Category**: Finance · Freemium > **TL;DR:** Neylyzer: Financial Research is a finance app by Akash Singh, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Neylyzer: Financial Research is a finance app by Akash Singh. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Finance | | **Developer** | Akash Singh | | **Pricing** | Freemium | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 28d | ## Metadata & Market Performance - **Publisher:** Akash Singh - **Category:** Finance - **Target Audience:** Individual investors and financial analysts who require AI-assisted fundamental research and portfolio tracking. - **Platforms:** iOS - **Version Reviewed:** 1.5.0 - **Report Date:** 2026-10-07 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 6751056291 - **Bundle ID:** com.neylyzer.ios - **Data Window:** Analysis based on signals collected up to 2026-10-07 ## Executive Snapshot **What it is:** Neylyzer is an AI-native financial research platform for individual investors, providing tools for fundamental analysis, earnings call tracking, and portfolio management on iOS. **Why users hire it:** The platform removes the cognitive friction of manual financial research by grounding AI-generated insights in live earnings transcripts and historical data, displacing fragmented browser-based research workflows. ## App DNA (Features & Intent) - **[Differentiator] AI Research Lab:** Generates research threads grounded in financial data, transcripts, and user-uploaded documents with citations. * *User Intent:* Users want to quickly find relevant content or features. - **[Differentiator] Earnings Call Playback:** Provides live and recorded earnings call audio with background playback and searchable transcripts. * *User Intent:* Users want to quickly find relevant content or features. - **[Differentiator] Private Thesis Notes:** Records user notes on companies with automatic share-price tagging at the time of entry. * *User Intent:* Users seek social connection and competitive engagement with peers. ## Market Position {#market-position} Neylyzer enters the Finance category as a specialized research tool, competing with broader financial news and data platforms. Its focus on AI-grounded fundamental analysis differentiates it from general-purpose stock trackers that lack deep transcript integration. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free: 10 prompts/month, 5 company follows, Pro: 300 prompts/month, 20 company follows, Pro+: Unlimited prompts, unlimited company follows - **Analysis:** Freemium model gates AI research volume and portfolio size to drive conversion to Pro and Pro+ tiers. ## SWOT Analysis {#swot} **Core Strengths:** - AI-native research threads grounded in real-time earnings transcripts provide a defensible research workflow. - Private thesis notes with automatic price-tagging increase user switching costs. - Integrated earnings call playback with searchable transcripts creates a high-utility research environment. **Growth Levers:** - Social research feed creates a community-driven acquisition loop. - Integration of user-uploaded PDFs allows for personalized research workflows. - Expansion of historical data beyond US public companies could capture international investor interest. ## What's New - **Latest (v1.5.0, 6 days ago):** Introduced private company notes with historical share price tracking, long-press AI queries for companies, and watchlist sorting by recent follows. ## App Momentum (Steady) {#momentum} - Shipped private note-taking feature. - Integrated AI-powered quick research queries. - Ships updates every ~43 days. > **Cadence:** 2 total versions · 1 majors in last 6 months · 6 days since last update · 43 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Neylyzer: Financial Research is a finance app that is free with in-app purchases. > **Bottom Line:** Neylyzer's focus on grounded AI research and earnings call integration creates a high-utility tool for long-term investors. The platform's ability to maintain this technical edge against larger incumbents will determine its long-term viability. **Best for:** Individual investors and financial analysts who require AI-assisted fundamental research and portfolio tracking. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Expand free-tier company follow limit because current 5-company cap restricts portfolio tracking utility → increase user retention. ### Outlook: Stable The financial research market is consolidating around AI-assisted workflows, and Neylyzer's focus on grounded, transcript-based research positions it well for serious investors. Continued development of the social research feed will be critical to building a network effect that protects the platform from larger, general-purpose financial news incumbents. - 🟢 The latest release introduces private note-taking and AI quick queries, signaling active feature investment rather than maintenance mode. - ⚪ The freemium model effectively gates high-value AI research, which should support long-term revenue growth as the user base matures. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Neylyzer: Financial Research** (this app) | N/A/5 | N/A | Akash Singh | | [Banksola: Budget Planner](https://marlvel.ai/apps/banksola-budget-planner) | 4.6/5 | Mixed | Quickdollarapp, Inc | | [DEGIRO: Investing & Trading](https://marlvel.ai/apps/degiro-investing-trading) | 4.1/5 | Mixed | DEGIRO - Online Trading App | | [Hourly: Freelance Tracker](https://marlvel.ai/apps/hourly-freelance-tracker) | N/A/5 | N/A | Albert Lewinski | | [SureShotFX - Pip Calculator](https://marlvel.ai/apps/sureshotfx-pip-calculator) | 4.0/5 | Excited | SureShotFX | | [Tikker - Live Income Tracker](https://marlvel.ai/apps/tikker-live-income-tracker) | 5.0/5 | N/A | Mis Asja OU | ## Company Profile - **Developer:** Akash Singh ## Data Sources & Links - **App Store ID:** 6751056291 - **Sources:** App store metadata. ## Related Intel Reports - [*Banksola: Budget Planner*](https://marlvel.ai/apps/banksola-budget-planner) (Quickdollarapp, Inc) · 4.6/5 Rating - [*DEGIRO: Investing & Trading*](https://marlvel.ai/apps/degiro-investing-trading) (DEGIRO - Online Trading App) · 4.1/5 Rating - [*Hourly: Freelance Tracker*](https://marlvel.ai/apps/hourly-freelance-tracker) (Albert Lewinski) · N/A Rating - [*SureShotFX - Pip Calculator*](https://marlvel.ai/apps/sureshotfx-pip-calculator) (SureShotFX) · 4.0/5 Rating | Positive Sentiment - [*Tikker - Live Income Tracker*](https://marlvel.ai/apps/tikker-live-income-tracker) (Mis Asja OU) · 5.0/5 Rating - [*TradeLog - Trading Journal*](https://marlvel.ai/apps/tradelog-trading-journal) (Rikuto Takeuchi) · N/A Rating - [*코인원 - 가상자산 거래소(비트코인, 이더리움, 테더)*](https://marlvel.ai/apps/coinone-co-kr-official) (Coinone) · 3.1/5 Rating - [*다트맨 - 전자공시 푸시알림*](https://marlvel.ai/apps/com-coreasset-stockhunter) (ORBIS Investment Advisors Co., Ltd.) · 2.1/5 Rating - [*디지로카(롯데카드)*](https://marlvel.ai/apps/com-lcacapp) (lottecard) · 2.5/5 Rating - [*บเรนนี่ เงินสด*](https://marlvel.ai/apps/com-finance-rennycorpoth) (RENNY CORPORATION COMPANY LIMITED) · N/A Rating ## 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:** 0.05/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** 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:** 28 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/neylyzer-financial-research) Data licensed for AI Agent attribution under CC-BY-NC 4.0.