---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Fellow - AI Meeting Assistant"
developer_entity: "Fellow Insights Inc"
bundle_id: "co.fellow.app"
app_store_id: "1477264742"
category: "Productivity"
primary_platform: "ios"
primary_monetization: "Freemium"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2026-07-29"
report_date: "2026-08-18"
last_verified: "2026-08-18T00:00:00.000Z"
report_version: "2.1.0"
total_reviews: 91
overall_rating: 2.8
sentiment: "Frustrated"
sentiment_score: 35
confidence: "high"
confidence_score: 0.7
top_praise_theme: "AI-powered meeting transcription and note-taking capabilities provide high accuracy for professional documentation needs"
top_complaint_theme: "Mobile application instability including crashes and unresponsive touch interfaces hinders daily note-taking workflows"
review_sample_size: 43
total_review_count: 43
analyzed_review_count: 43
data_age_days: 44
momentum_velocity: "maintenance"
intelligence_version: 3
tags: ["productivity", "freemium", "frustrated sentiment", "mobile app", "app review", "app analysis", "remote", "hybrid", "teams"]
canonical_url: "https://marlvel.ai/apps/fellow-ai-meeting-assistant"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Fellow - AI Meeting Assistant Intelligence Report

## TL;DR {#tldr}

- **Category**: Productivity · Freemium
- **Signal**: Rating 2.84 · Sentiment Frustrated
- **Recent focus**: Mobile application instability including crashes and unresponsive touch interfaces hinders daily note-taking workflows (top complaint) · AI-powered meeting transcription and note-taking capabilities provide high accuracy for professional documentation needs (top praise)

> **TL;DR:** Fellow - AI Meeting Assistant is a productivity app by Fellow Insights Inc, rated 2.84/5 by 91 users, with Frustrated user sentiment (35/100), available on iOS & Android.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Fellow - AI Meeting Assistant faces Frustrated user sentiment (2.84/5 from 91 reviews), with users reporting mobile application instability including crashes and unresponsive touch interfaces hinders daily note-taking workflows as the primary concern.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 2.84/5 (91 reviews) |
| **User Mood** | Frustrated |
| **Category** | Productivity |
| **Developer** | Fellow Insights Inc |
| **Pricing** | Freemium |
| **Platforms** | iOS & Android |
| **Confidence** | High (0.7/1.0) |
| **Data Age** | 44d |

## Metadata & Market Performance
- **Publisher:** Fellow Insights Inc
- **Category:** Productivity
- **Target Audience:** Remote and hybrid teams in regulated industries (finance, legal) requiring strict data governance.
- **Platforms:** iOS & Android
- **Version Reviewed:** 2.1.3
- **Report Date:** 2026-08-18
- **Signal Count:** 43 reviews analyzed
- **Confidence:** High (0.7/1.0)
- **App Store ID (iOS):** 1477264742
- **Bundle ID:** co.fellow.app
- **Google Play ID:** co.fellow.app
- **Performance Trend:** Mixed
- **Data Window:** Analysis based on signals collected up to 2026-08-18

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Fellow is an AI-powered meeting assistant for remote and hybrid teams that records, transcribes, and summarizes meetings on iOS and Android.
**Why users hire it:** The platform removes the friction of manual documentation in regulated environments where data retention and audit logs are mandatory requirements.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] AI Meeting Notetaker:** Records and summarizes meetings via integration with Google Meet, MS Teams, and Zoom.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
- **[Differentiator] Botless In-Person Recording:** Captures audio for physical meetings without a virtual bot participant.
- **[Differentiator] Compliance-First Governance:** Enforces data retention policies and audit logs for regulated sectors.
<!-- /section:features -->

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

Fellow maintains a 3.17-star rating across 91 total ratings. The reliance on a web-wrapper interface for mobile users creates a performance gap compared to native-first productivity rivals.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Freemium
- **Tiers:** Free tier for individual use, Enterprise tier with advanced compliance and security
- **Analysis:** Freemium model drives individual adoption, while security features are gated to force enterprise-wide B2B sales.

<!-- section:sentiment -->
## 🔴 User Sentiment (High Confidence: 43 of 43 reviews analyzed) {#user-sentiment}
- **Overall Rating:** 2.84/5
- **Platform Split:** iOS 3.2/5 (24 ratings) | Android 2.7/5 (67 ratings)
- **Overall Sentiment:** Frustrated

### Top Praises
- **AI-powered meeting transcription and note-taking capabilities provide high accuracy for professional documentation needs**
- **Cross-platform integration with calendar and project management tools keeps meeting agendas and tasks organized**

### Top Complaints (Impact Areas)

- **Mobile application instability including crashes and unresponsive touch interfaces hinders daily note-taking workflows**

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

**Core Strengths:**
- Compliance-first governance enforcements for regulated sectors create a defensible barrier
- Botless in-person recording capability captures physical meeting data without virtual participant friction

**Growth Levers:**
- Native mobile build would resolve the touch-interface responsiveness complaints currently driving negative sentiment


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

Fellow has shifted its strategic narrative to acknowledge that its web-wrapper mobile architecture is a primary driver of user churn. This pivot highlights a growing tension between maintaining cross-platform parity and meeting the stability expectations of individual users.

**Overall trend**: Mixed
**Compared at**: 2026-08-18

### High-impact changes
- **[Shifted] Mobile Architecture Risk** (positioning)
- **[Added] Commoditization Threat** (swot)

### Medium-impact changes
- **[Shifted] SWOT Consolidation** (swot)

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

- **Latest (v2.1.0, 1 months ago):** Introduced mobile audio recording for Android and added a manual management tool for failed upload recovery.
<!-- /section:whats-new -->

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

- Shipped mobile audio recording for Android.
- Implemented failed audio upload recovery.
- Ships updates roughly every 1.5 months.

> **Cadence:** 2 total versions · 1 majors in last 6 months · 19 days since last update · 19 days avg between updates

<!-- /section:momentum -->

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

Fellow - AI Meeting Assistant is a productivity app that is free with in-app purchases.
With a 2.84/5 rating from 91 reviews, it faces significant user friction.

<!-- speakable-start -->
> **Bottom Line:** Fellow must prioritize a native mobile build to resolve the stability issues currently driving churn among individual users. Addressing this technical debt would stabilize the retention funnel, allowing the team to focus on the enterprise compliance features that differentiate the product.
<!-- speakable-end -->

**Best for:** Remote and hybrid teams in regulated industries (finance, legal) requiring strict data governance.

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

- [ ] [INVEST] Rebuild mobile interface as a native app because the current web-wrapper is the top-cited cause of crashes and churn → improve retention
<!-- /section:pm-actions -->

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

The productivity market is consolidating around native-first AI assistants, leaving Fellow's web-wrapper approach increasingly exposed. If the team does not transition to a native build, the churn pressure from individual users will likely offset the gains made in the enterprise compliance segment.

- 🔴 Mobile instability and crashes during active note-taking sessions erode the daily habit, which compounds the rating drag already visible on Android.
- 🟢 The latest release (v2.1.0) introduced mobile audio recording for Android, signaling that the team is still actively expanding core functionality.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Overall Rating | 2.84/5 |
| Total Reviews | 91 |
| Sentiment | Frustrated (35/100) |
| Confidence | High |
| Pricing Model | Freemium |
| Platforms | iOS & Android |
| Key Features | 3 analyzed |
| Trend | Mixed |
| Outlook | Mixed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Fellow - AI Meeting Assistant** (this app) | 2.84/5 | Frustrated | Fellow Insights Inc |
| [Mitsu: AI Life Coach](https://marlvel.ai/apps/mitsu-ai-life-coach) | N/A/5 | N/A | C2 Insights |
| [ChatGPT](https://marlvel.ai/apps/chatgpt) | 4.8/5 | n/a | OpenAI OpCo, LLC |
| [HitWave](https://marlvel.ai/apps/ciendor-applications-hitwave) | 2.6/5 | Mixed | Ciendor Holdings Corp. LTD |
| [Paper: Sketch, Draw & Create](https://marlvel.ai/apps/paper-sketch-draw-create) | 4.6/5 | N/A | Evernote Corporation |
| [Pattrn - Discipline Tracker](https://marlvel.ai/apps/pattrn-discipline-tracker) | 4.8/5 | Thrilled | Pedro Schott |

## Company Profile
- **Developer:** Fellow Insights Inc
- **Website:** [https://fellow.app/](https://fellow.app/)
- **Social:** [Instagram](https://instagram.com/FellowAInotes) · [Facebook](https://facebook.com/fellowmeetings) · [X/Twitter](https://twitter.com/FellowAInotes) · [YouTube](https://youtube.com/@fellow-ai) · [LinkedIn](https://www.linkedin.com/in/aydinmirzaee)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/fellow-ai-meeting-assistant/id1477264742?uo=4)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=co.fellow.app&hl=en&gl=us)
- **Dev Site:** [Official Website](https://fellow.app/)
- **Sources:** Developer website content, About us / company information, App store metadata, User reviews.

## Related Intel Reports
- [*Mitsu: AI Life Coach*](https://marlvel.ai/apps/mitsu-ai-life-coach) (C2 Insights) · N/A Rating
- [*ChatGPT*](https://marlvel.ai/apps/chatgpt) (OpenAI OpCo, LLC) · 4.8/5 Rating
- [*HitWave*](https://marlvel.ai/apps/ciendor-applications-hitwave) (Ciendor Holdings Corp. LTD) · 2.6/5 Rating
- [*Paper: Sketch, Draw & Create*](https://marlvel.ai/apps/paper-sketch-draw-create) (Evernote Corporation) · 4.6/5 Rating
- [*Pattrn - Discipline Tracker*](https://marlvel.ai/apps/pattrn-discipline-tracker) (Pedro Schott) · 4.8/5 Rating | Excellent Sentiment
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- [*통화관리솔루션 (부평구청용)*](https://marlvel.ai/apps/byto-bupyeong) (BYTO) · N/A Rating

## Frequently Asked Questions {#faq}

### Is Fellow suitable for individual users?

Fellow is primarily designed for remote and hybrid teams. While there is a free tier, recent reviews suggest individual users may find the current monetization and mobile performance limitations frustrating compared to dedicated personal note-taking tools.

### Does Fellow work without an internet connection?

Fellow requires an internet connection for its primary AI transcription and cloud-syncing features. While the app allows for recording, users report that authentication and data access often fail without a stable connection.

### What is the main difference between Fellow and general AI note-takers?

Fellow distinguishes itself through compliance-first governance, including audit logs and data retention policies tailored for regulated industries like finance and legal, whereas many competitors focus primarily on general-purpose meeting summaries.

## 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:** 0.7/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 43
- **Data Sources:** user reviews, developer website, company about page, 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:** 44 days since last refresh

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