HaulHQ.app

Website

haulhq.app

Pricing URL

Official HaulHQ.app Pricing

$ Details

paid Free Trial $1.5 (Per job)

Platforms

Web iPhone Android

Release Date

2026 June

Categories

#Field Service Management #Appointments and Scheduling #Dispatch Management #Waste Management

Startup details

Country

United States

State

AZ

City

Tucson

Founder(s)

John Crist

Employees

1 - 9

@imqueue

Website

imqueue.org

Pricing URL

-

$ Details

-

Platforms

-

Release Date

-

Categories

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

HaulHQ.app features and specs

• Built for both verticals
  Run junk removal and dumpster rental from one system. The only platform that handles both.
• Job scheduling & dispatch
  Book, schedule, and assign jobs to crews from a single board.
• Driver PWA
  Crews work from any phone through the browser. No app download, no per-seat fee.
• Role-based permissions
  Owners control exactly what each driver sees, including job pricing and customer details, configured per business.
• Online booking
  Customers book jobs and dumpster rentals directly from your website.
• 24/7 AI chatbot
  Captures and qualifies leads on your site around the clock, even after hours.
• Estimates & quoting
  Build and send branded estimates by text or email with one-tap approve or decline.
• In-field payments
  Collect card payments on site through Stripe or record cash. The job closes itself once paid.
• Invoicing & tracking
  Send invoices and see what's paid and what's outstanding at a glance.
• Lead & customer CRM
  Track every lead from first contact through completed job.
• Pay-per-job pricing
  No subscription. $1.50 per completed job, 1.5% on card payments, capped at $149/mo per service line.
• Before/after photo capture
  Drivers document each job for proof and dispute protection.

@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 HaulHQ.app