Unbias Labs

Website

getunbias.com

Pricing URL

Official Unbias Labs Pricing

$ Details

paid £49.0 / One-off (Single page Audit)

Release Date

2026 March

Categories

#Conversion Optimization #Generative Engine Optimization (GEO) #Website Optimization #A/B Testing #Marketing Tools #Answer Engine Optimization (AEO)

Startup details

Country

United Kingdom

State

Surrey

City

London

Founder(s)

Marcello Pasqualucci

Employees

1 - 9

@imqueue

Website

imqueue.org

Pricing URL

-

$ Details

-

Release Date

-

Categories

#Developer Tools #Realtime Backend / API #Tech #App Development #Data Integration #Web Service Automation

Unbias Labs features and specs

• Proprietary Behavioural Database
  Cross-references your live website against a hardcoded, 50+ point matrix of cognitive biases (e.g., Paradox of Choice, Curse of Knowledge, Endowment Effect) to identify the exact psychological friction causing users to bounce.
• Weighted Severity Scoring
  Grades every identified cognitive leak on a strict impact scale: Active Friction (-10), Declining Effectiveness (-8), Moderate Bias (-6), or Minor Friction (-4). You see exactly what is bleeding the most revenue.
• ICE-Scored Experiment Roadmap
  Translates abstract psychological flaws into a highly actionable, step-by-step testing plan. Every recommended fix is ranked by Impact, Confidence, and Ease (ICE) so your team knows exactly what to build next.
• Generative Engine Optimisation (GEO) Audit
  Scans your site's JSON-LD schema and entity density to ensure your architecture is perfectly structured for ingestion by conversational AI models like ChatGPT and Google AI Overviews.
• Zero-Code Integration
  Operates entirely from the outside using only your URL. Requires no JavaScript snippets, no sensitive user data collection, and zero dev-team bandwidth to execute.
• Competitor Benchmarking
  Maps your identified cognitive friction points directly against market rivals to highlight your psychological advantages and architectural vulnerabilities.
• Automated PDF Diagnostic Reports
  Generates a comprehensive, 5-section boardroom-ready audit document in under 3 minutes, translating complex neuroscience into plain-English UX and copy fixes.

@imqueue features and specs

• TypeScript-first design
  imqueue is built with TypeScript at its core, providing strong typing, better IDE support, and compile-time error checking, which helps catch bugs early and improves the developer experience when building microservices.
• RPC-style messaging abstraction
  It simplifies inter-service communication by abstracting away the complexities of message queue protocols, allowing developers to make calls that feel like local function calls while the underlying complexity of message passing is handled by the framework.
• Built on RabbitMQ
  By leveraging RabbitMQ as its message broker, imqueue benefits from a mature, battle-tested messaging system with reliable delivery guarantees, clustering support, and a large ecosystem of tools and documentation.
• Code generation and tooling
  imqueue provides CLI tools and code generation capabilities that can automatically create service clients and boilerplate code, reducing repetitive work and helping maintain consistency across microservices.
• Microservices-focused architecture
  The framework is specifically designed for building distributed microservices systems, offering features like service discovery and structured communication patterns that address common challenges in distributed system design.

Possible disadvantages of @imqueue

• Smaller community and ecosystem
  Compared to more mainstream microservices frameworks, imqueue has a relatively small user base and community, which can mean fewer third-party resources, tutorials, Stack Overflow answers, and community-contributed plugins or extensions.
• Limited documentation depth
  While basic documentation exists, some users report that advanced use cases, edge cases, and troubleshooting guides are not as thoroughly documented as more established frameworks, requiring more trial-and-error or direct code inspection.
• RabbitMQ dependency lock-in
  Being tightly coupled to RabbitMQ means teams must adopt and manage this specific message broker, which could be a limitation for organizations that prefer or already use alternative messaging systems like Kafka, NATS, or AWS SQS.
• Learning curve for framework-specific patterns
  Developers need to learn imqueue's specific conventions, decorators, and architectural patterns, which adds an additional learning curve on top of understanding TypeScript and general microservices concepts.
• Potential scalability concerns for very large systems
  As with many queue-based RPC frameworks, extremely high-throughput or very large-scale distributed systems may encounter performance bottlenecks or require significant additional configuration and tuning of the underlying RabbitMQ infrastructure.

Analysis of Unbias Labs