---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "No Thanks app"
developer_entity: "BashSquare Korlatolt Felelossegu Tarsasag"
bundle_id: "com.bashsquare.nothanks"
app_store_id: "6476206516"
google_play_id: "com.bashsoftware.boycott"
category: "Utilities"
primary_platform: "ios"
primary_monetization: "Free"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2026-01-08"
report_date: "2026-05-20"
last_verified: "2026-05-20T05:19:52.829Z"
report_version: "3.4.21"
total_reviews: 380689
overall_rating: 4.88
sentiment: "Thrilled"
sentiment_score: 85
confidence: "high"
confidence_score: 0.7
top_praise_theme: "Barcode scanning utility provides rapid and accurate ethical shopping data for daily consumer decisions"
top_complaint_theme: "Barcode scanning errors lead to incorrect product identification or missing database entries"
top_request_theme: "In-app reporting feature for incorrect barcode scans would improve database accuracy over time"
review_sample_size: 50
total_review_count: 50
analyzed_review_count: 50
data_age_days: 42
momentum_velocity: "maintenance"
intelligence_version: 3
nemesis: "Yuka - Food & Cosmetic Scanner"
competitor_count: 6
tags: ["utilities", "free", "thrilled sentiment", "mobile app", "app review", "app analysis", "conscious", "consumers", "seeking"]
canonical_url: "https://marlvel.ai/intel-report/utilities/no-thanks-app"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# No Thanks app App Audit

## TL;DR {#tldr}

- **Category**: Utilities · Free
- **Signal**: Rating 4.88 · Sentiment Thrilled
- **Recent focus**: Barcode scanning errors lead to incorrect product identification or missing database entries (top complaint) · Barcode scanning utility provides rapid and accurate ethical shopping data for daily consumer decisions (top praise) · In-app reporting feature for incorrect barcode scans would improve database accuracy over time (top request)

> **TL;DR:** No Thanks app is a utilities app by BashSquare Korlatolt Felelossegu Tarsasag, rated 4.88/5 by 380.7K users, with Thrilled user sentiment (85/100), available on iOS & Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** No Thanks app maintains Thrilled user sentiment (4.88/5 from 380.7K reviews), with users consistently praising barcode scanning utility provides rapid and accurate ethical shopping data for daily consumer decisions.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 4.88/5 (380.7K reviews) |
| **User Mood** | Thrilled |
| **Category** | Utilities |
| **Developer** | BashSquare Korlatolt Felelossegu Tarsasag |
| **Pricing** | Free |
| **Platforms** | iOS & Android |
| **Confidence** | High (0.7/1.0) |
| **Data Age** | 0d |

## Metadata & Market Performance
- **Publisher:** BashSquare Korlatolt Felelossegu Tarsasag
- **Category:** Utilities
- **Target Audience:** Conscious consumers seeking to identify and avoid specific brands during their retail shopping process.
- **Platforms:** iOS & Android
- **Version Audited:** 3.4.21
- **Audit Date:** 2026-05-20
- **Signal Count:** 50 reviews analyzed
- **Confidence:** High (0.7/1.0)
- **App Store ID (iOS):** 6476206516
- **Bundle ID:** com.bashsquare.nothanks
- **Google Play ID:** com.bashsoftware.boycott
- **Performance Trend:** Mixed
- **Data Window:** Analysis based on signals collected up to 2026-05-20
- **Short Description:** Scan barcodes & search serial numbers

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** No Thanks App is a utility tool for iOS and Android that allows users to scan barcodes and search serial numbers to identify brands associated with boycott movements.
**Why users hire it:** Users hire this app to align their retail purchasing habits with personal ethical values, replacing manual research with a high-speed scanning mechanism.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] Barcode Scanner:** Camera-based barcode recognition for instant product identification against boycott lists
  * *User Intent:* Users seek enhanced value through premium features.
- **[Standard] Serial Number Search:** Manual input field for product serial numbers to verify brand status
  * *User Intent:* Users want to quickly find relevant content or features.
- **[Standard] Lightweight Architecture:** Low-footprint app design optimized for minimal device storage usage
<!-- /section:features -->

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

The app maintains a niche utility position in the Tools category, with recent rankings including #75 Grossing in Tunisia and #105 in Bahrain. This regional traction suggests the app's mission-driven value proposition resonates in markets where boycott participation is high.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Free
- **Tiers:** Free to download and use
- **Analysis:** Monetization relies on ad-supported traffic given the absence of subscription or IAP price points.

<!-- section:sentiment -->
## 🟢 User Sentiment (High Confidence: 50 of 50 reviews analyzed) {#user-sentiment}
- **Overall Rating:** 4.88/5
- **Platform Split:** iOS 4.9/5 (15.4K ratings) | Android 4.9/5 (365.2K ratings)
- **Overall Sentiment:** Thrilled

### Top Praises
- **Barcode scanning utility provides rapid and accurate ethical shopping data for daily consumer decisions**
- **Ethical alternative recommendations empower users to align their purchasing habits with personal values**
- **Community-driven mission fosters a sense of collective impact among socially conscious shoppers**

### Top Complaints (Impact Areas)
- **Barcode scanning errors lead to incorrect product identification or missing database entries**
- **Increased application launch times following the latest update impact user experience on newer devices**
- **Limited brand and item coverage in specific international markets restricts regional utility**

### Top Requests (What Users Want)
- **In-app reporting feature for incorrect barcode scans would improve database accuracy over time**
- **Personalized shopping lists would allow users to prepare for trips more efficiently**
- **Improved navigation for alternative product discovery without exiting the current scan view**

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

**Core Strengths:**
- Mission-driven focus creates high-retention user base
- Barcode scanner utility drives daily active usage
- Lightweight architecture reduces install friction

**Critical Frictions:**
- Lack of user-driven reporting for scan errors
- Increased launch times following latest update
- Limited database coverage in specific regions

**Growth Levers:**
- Implement crowdsourced database reporting
- Expand regional brand coverage
- Add personalized shopping lists

**Market Threats:**
- Yuka's high-velocity release schedule
- Think Dirty's mature safety-rating system
- Data-accuracy erosion without feedback loops

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

The app has repositioned itself as a mission-driven ethical shopping tool, but is currently facing technical performance regressions and user concerns regarding data accuracy.

**Overall trend**: Mixed
**Compared at**: 2026-05-20

### High-impact changes
- **[Shifted] Mission-driven repositioning** (positioning) — The app shifted from a general-purpose product utility to a niche tool for ethical shopping and boycott tracking.
- **[Declined] Launch-time performance regression** (sentiment) — New user complaints indicate increased application launch times following the latest update.

### Medium-impact changes
- **[Added] Data accuracy complaints** (sentiment) — Users report inaccurate barcode results and a lack of reporting mechanisms for bad data, creating a new friction point.
- **[Added] Competitive threat identification** (swot) — Added Yuka and Think Dirty as specific competitive threats due to their higher-velocity release cycles and mature feature sets.

<!-- section:rivals -->
## Rivals Landscape {#rivals}

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

### No Thanks app vs Yuka - Food & Cosmetic Scanner — Head to Head
- **[Yuka - Food & Cosmetic Scanner](https://marlvel.ai/intel-report/health-fitness/yuka-food-cosmetic-scanner)** by Yuca: Directly competes in the ethical/health-conscious scanning niche with a high-frequency release cadence of 10 updates in six months.
  - **Moat strength:** Medium — durable but contestable
  - **Key differences:**
    - Provides detailed health impact analysis for food and cosmetics beyond simple brand boycott status
    - Maintains a high-velocity release schedule that consistently introduces new product categories for scanning

### Contenders (Strong Challengers)
- **[Think Dirty – Shop Clean](https://marlvel.ai/intel-report/health-fitness/think-dirty-shop-clean)** by Think Dirty Inc. [Moat: High]: Dominates the ethical shopping space with a mature, feature-rich platform and 12 releases in the last six months.
  - Offers a comprehensive ingredient-level safety rating system that builds deep user trust and loyalty
  - Aggressive update cycle ensures compatibility and feature parity across evolving mobile operating system standards

### Peers (What They Do Better)
- **[Ecosia: Search to plant trees](https://marlvel.ai/intel-report/utilities/com-ecosia-ecosiaapp)** by Ecosia GmbH: Shares the mission-driven, ethical consumerism focus but operates primarily as a search-based utility rather than a barcode scanner.
  - Leverages a massive, established user base driven by environmental impact rather than product-specific boycott data
  - Integrates search-to-plant functionality that creates a persistent, daily-use habit loop for environmentally conscious users
- **[QR Code Reader ·](https://marlvel.ai/intel-report/utilities/com-pastapizza-qrcode)** by App Lock LLC: A high-utility, high-volume competitor in the scanning space that lacks the specific ethical-boycott mission of the target.
  - Focuses exclusively on high-speed, multi-format QR scanning performance without any secondary ethical or brand data
  - Provides a streamlined, single-purpose utility experience that minimizes friction for users needing rapid barcode processing
- **[Scanner](https://marlvel.ai/intel-report/utilities/com-tapmedialtd-scanner)** by TapMedia Ltd: A generic utility competitor that dominates the scanning category through broad, non-niche functionality.
  - Optimized for document digitization and high-fidelity image capture rather than retail product barcode lookup
  - Maintains a massive, general-purpose user base that does not overlap with the ethical-boycott target audience
- **[QR Reader for iPhone](https://marlvel.ai/intel-report/utilities/com-tapmedialtd-qrreader)** by TapMedia Ltd: A legacy utility app that serves as a baseline for scanning performance in the App Store ecosystem.
  - Provides a foundational, no-frills scanning experience that lacks the specialized database integration of the target
  - Operates as a generic utility tool without any mission-driven content or ethical brand filtering capabilities

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

- **Latest (v3.2.2+53, 2 years ago):** Added the store page.
<!-- /section:whats-new -->

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

- Ships regular performance and bug fixes.
- Maintains high user sentiment scores.

> **Cadence:** 5 total versions · 2 majors in last 6 months · 131 days since last update · 35 days avg between updates

<!-- /section:momentum -->

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

No Thanks app is a market-leading utilities app that is completely free.
With a 4.88/5 rating from 380.7K reviews, it delivers strong user satisfaction.

<!-- speakable-start -->
> **Bottom Line:** The app secures high retention through its clear mission, but the lack of a user-reporting loop for scan errors threatens long-term data reliability, so the PM should prioritize crowdsourced verification to defend against churn.
<!-- speakable-end -->

**Best for:** Conscious consumers seeking to identify and avoid specific brands during their retail shopping process.

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

- [ ] [INVEST] [HIGH IMPACT] Ship in-app reporting feature for incorrect scans because users report inaccurate results → improve database accuracy — *Top complaint theme identifies lack of reporting mechanism for incorrect barcode data.* _(trade-off: deprioritize Push personalized shopping lists to Q3 — database integrity has higher retention impact.)_
- [ ] [MAINTAIN] [MEDIUM IMPACT] Audit launch-time performance because users report delays on current builds → reduce churn — *Launch-time complaints emerged as a new point of friction in recent feedback.* _(trade-off: deprioritize Same-quarter capacity available — no major lever displaced.)_
<!-- /section:pm-actions -->

<!-- section:feature-gaps -->
### Feature Gaps vs Competitors

- Ingredient-level safety ratings (available in Think Dirty but absent here)
- Detailed health impact analysis (available in Yuka but absent here)
<!-- /section:feature-gaps -->

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

The ethical shopping category is consolidating around apps that provide both boycott status and health-impact data. The subject app remains advantaged by its specific boycott focus, but the lack of a feedback loop for data errors leaves it exposed to competitors with higher-velocity update cycles.

- 🔴 Launch-time regressions in the latest update erode the daily active habit, which compounds the rating drag already visible on Android.
- 🟢 High user sentiment as a core utility for ethical shopping drives strong retention, signaling the mission-driven model remains viable.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Overall Rating | 4.88/5 |
| Total Reviews | 380.7K |
| Sentiment | Thrilled (85/100) |
| Confidence | High |
| Pricing Model | Free |
| Platforms | iOS & Android |
| Key Features | 3 analyzed |
| Trend | Mixed |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **No Thanks app** (this app) | 4.88/5 | Thrilled | BashSquare Korlatolt Felelossegu Tarsasag |
| [Ecosia: Search to plant trees](https://marlvel.ai/intel-report/utilities/com-ecosia-ecosiaapp) | 4.7/5 | Excited | Ecosia GmbH |
| [QR Reader for iPhone](https://marlvel.ai/intel-report/utilities/com-tapmedialtd-qrreader) | 4.7/5 | Mixed | TapMedia Ltd |
| [QR Code Reader ·](https://marlvel.ai/intel-report/utilities/com-pastapizza-qrcode) | 4.7/5 | Frustrated | App Lock LLC |
| [Scanner](https://marlvel.ai/intel-report/utilities/com-tapmedialtd-scanner) | 4.7/5 | Mixed | TapMedia Ltd |
| [Yuka - Food & Cosmetic Scanner](https://marlvel.ai/intel-report/health-fitness/yuka-food-cosmetic-scanner) | 4.8/5 | Excited | Yuca |

## Company Profile
- **Developer:** BashSquare Korlatolt Felelossegu Tarsasag
- **Website:** [https://bashsquare.com](https://bashsquare.com)
- **Social:** [Instagram](https://www.instagram.com/bashsquarellc) · [X/Twitter](https://twitter.com/BashSquareLLC) · [LinkedIn](https://www.linkedin.com/company/bashsquare)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/no-thanks-app/id6476206516?uo=4)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.bashsoftware.boycott&hl=en&gl=us)
- **Dev Site:** [Official Website](https://bashsquare.com)
- **Sources:** Developer website content, App store metadata, User reviews.

## Related Intel Reports
- [*Ecosia: Search to plant trees*](https://marlvel.ai/intel-report/utilities/com-ecosia-ecosiaapp) (Ecosia GmbH) — 4.7/5 Rating | Positive Sentiment
- [*QR Reader for iPhone*](https://marlvel.ai/intel-report/utilities/com-tapmedialtd-qrreader) (TapMedia Ltd) — 4.7/5 Rating | Mixed Sentiment
- [*QR Code Reader ·*](https://marlvel.ai/intel-report/utilities/com-pastapizza-qrcode) (App Lock LLC) — 4.7/5 Rating | Negative Sentiment
- [*Scanner*](https://marlvel.ai/intel-report/utilities/com-tapmedialtd-scanner) (TapMedia Ltd) — 4.7/5 Rating | Mixed Sentiment
- [*Yuka - Food & Cosmetic Scanner*](https://marlvel.ai/intel-report/health-fitness/yuka-food-cosmetic-scanner) (Yuca) — 4.8/5 Rating | Positive Sentiment
- [*Think Dirty – Shop Clean*](https://marlvel.ai/intel-report/health-fitness/think-dirty-shop-clean) (Think Dirty Inc.) — 4.8/5 Rating | N/A Sentiment
- [*V2Box - V2ray Client*](https://marlvel.ai/intel-report/utilities/v2box-v2ray-client) (techlaim) — 4.6/5 Rating | N/A Sentiment
- [*Quantumult X*](https://marlvel.ai/intel-report/utilities/quantumult-x) (Cross Utility Ltd) — 3.8/5 Rating | N/A Sentiment
- [*Free VPN by Free VPN .org™*](https://marlvel.ai/intel-report/utilities/free-vpn-by-free-vpn-org) (Free VPN LLC) — 4.3/5 Rating | Mixed Sentiment
- [*Potatso*](https://marlvel.ai/intel-report/utilities/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 and evidence quoting.
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:** 50
- **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/no-thanks-app)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.