Find Me Board: cloud-native, AI-driven contractor marketplace
Find Me Board is a digital marketplace where homeowners can find vetted local contractors across diverse trades, such as plumbing, electrical, HVAC, and handyman work. AgileEngine helped bring the company’s core product to life, turning it from an ambitious plan into a cloud-native, AI-enabled minimum viable product (MVP).
Industries
E-commerce, Retail, Consumer goods, Digital marketplace, PropTech
Services
Cloud architecture, DevOps, AI engineering, Full-stack development, Product discovery, UX/UI design, Prototyping, PM/PO
Solutions
Online marketplace, Cloud, CI/CD, Serverless architecture, AI integration, AI-powered classification, MVP, Workflow orchestration, Matching engine, Subscription billing, Security
Technologies
AWS (Lambda, API Gateway, Step Functions, S3, CloudFront, RDS, SQS, EventBridge, WAF, Secrets Manager, KMS, VPC, RDS Proxy, CloudWatch, X-Ray, CloudTrail, IAM), SST (Serverless Stack Toolkit), Better-auth, OpenTelemetry, Cloudflare Turnstile, OpenNext, Node.js, React.js, Next.js, Prisma, Stripe, Twilio, Storybook
AI tools that powered our workflow
Claude Code, Figma MCP
Outcomes
and highlights
- 200+ proposed features narrowed into a clear MVP scope
- 30 days from greenfield to a fully provisioned cloud infrastructure and CI/CD pipelines
- 40–70% lower projected infrastructure costs at launch versus traditional always-on setups
- Same-day launch of new locations, no infrastructure deployment required
Solutions overview
Turning 200+ features into a shippable MVP
Find Me Board came to us with a sprawling vision: more than 200 documented features, a highly complex matching engine, and requirements that kept shifting past the original scope. AgileEngine ran a structured, iterative discovery process to bring this scope back to a realistic timeline.
During a focused 3-week inception phase, our team worked with stakeholders to rebuild the product specification and resolve open product and architectural questions. This work turned a projected 6–9 month build into a clear 3-month MVP roadmap. From there, we rapidly built the MVP, including cloud architecture, AI capabilities, and the required security solutions.
Key deliverables
- A 3-week inception phase that turned outdated baseline requirements into a complete, buildable MVP specification
- A four-tier feature inventory separating in-scope, out-of-scope, deferred, and future work
- Full-stack MVP build covering authentication, onboarding, the matching engine, subscription billing, notifications, and admin tools
- Cloud architecture design and AWS infrastructure setup
- AI solutions enabling trade classification, personally identifiable information (PII) removal, cost estimation, and more
- UX wireframes for both mobile and desktop
- A comprehensive product specification spanning homeowner and contractor flows, admin features, and core system logic
- Continued product partnership involving requirements refinement, technical guidance, and stakeholder alignment
Cloud-native foundation for rapid growth
The AgileEngine team designed and provisioned the client’s AWS infrastructure in 30 days, building an efficient serverless foundation for rapid expansion. With the systems we put in place, the company can rapidly launch new geographic markets, without new infrastructure or additional cloud resources required.
Running entirely on AWS managed services, the new platform scales automatically with demand, stays resilient during traffic spikes, and minimizes resource use during quiet periods. Its event-driven architecture handles homeowner requests, contractor responses, billing events, notifications, and operational workflows asynchronously through AWS-native services.
Key deliverables
- Cloud-native marketplace architecture, fully provisioned within 30 days
- Serverless backend running on AWS Lambda and Amazon API Gateway
- Infrastructure as Code (IaC) via SST (Serverless Stack Toolkit), keeping the entire environment version-controlled and reproducible
- Event-driven architecture built on Amazon EventBridge and Amazon SQS
- AWS Step Functions handling orchestration for long-running business workflows
- CI/CD pipelines built with GitHub Actions and OIDC federation
- Multi-AZ Amazon RDS for PostgreSQL deployment with Amazon RDS Proxy
- Edge caching and content delivery through Amazon CloudFront
- Direct-to-S3 media upload flow using pre-signed URLs
- Config-driven same-day expansion functionality: administrators can launch new ZIP codes with no infrastructure deployment
- Monitoring, audit logging, and distributed tracing built on Amazon CloudWatch, AWS CloudTrail, and AWS X-Ray
Technologies
AWS Lambda, AWS Step Functions, Amazon API Gateway, Amazon EventBridge, Amazon SQS, Amazon RDS for PostgreSQL, Amazon RDS Proxy, Amazon S3, Amazon CloudFront, SST, OpenNext, Next.js, Prisma, GitHub Actions
AI-driven matching engine
AI is central to the Find Me Board user experience. Homeowners describe their issues in free text, and AI matches each request to the right contractor pool while suggesting price estimates. It also summarizes homeowner requests for contractors, stripping out personally identifiable information (PII).
Our team integrated these AI workflows into the platform’s core, isolating them behind a thin internal service layer on AWS Lambda. We also built a custom matching engine using event-driven AWS workflows, combining real-time responsiveness with asynchronous processing.
The resulting architecture is provider-agnostic, extensible, and efficient in its use of compute resources.
Key deliverables
- AI-driven trade classification engine that reads homeowner requests and routes them to the right contractor pool
- AI-based PII removal and sanitization that clears sensitive contact details before contractor dispatch
- AI-generated price estimates with cost ranges based on trade, job description, and ZIP code
- Event-driven matching architecture for high-volume dispatch, with sub-second alerts via Amazon EventBridge and Amazon SQS
- Hybrid matching model that pairs real-time notifications with response windows of up to 60 minutes
- Tiered ranking model: round-robin for new markets, moving to merit-based contractor ranking once markets mature
- AWS Step Functions managing orchestration for both AI workflows and the full job lifecycle
- Modular, provider-agnostic AI service layer built for future portability
- Foundation for adding new AI-driven ranking and recommendation features down the line
Technologies
Anthropic Claude API, AWS Lambda, AWS Step Functions, Amazon API Gateway, Amazon EventBridge, Amazon SQS, Twilio
Security and monetization
Find Me Board operates as a trust-based marketplace, pairing simple onboarding with multiple layers of security. Every user completes phone verification and ZIP-code validation, and contractors go through vetting, license checks, and admin review before they can go live. AWS WAF, Cloudflare Turnstile, encryption, phone masking, and other AWS-native security services work together to protect data and prevent abuse.
On the monetization side, the model keeps memberships and subscriptions separate, so contractors can work across multiple trades without complicating billing. Stripe processes payments, while AWS services handle entitlement updates, workflow automation, notifications, and other operational state changes.
Key deliverables
- Smooth onboarding for homeowners and contractors, with logic tailored to each role
- Phone-based one-time password (OTP) verification and ZIP code validation
- Contractor vetting with secure license capture and manual review queues for admins
- Admin tools for marketplace oversight, role-based access, and market-level configuration
- AWS WAF and AWS Secrets Manager for endpoint protection, plus Cloudflare Turnstile to block bot signups
- Phone masking for private communications, handled through Twilio
- End-to-end encryption for data in transit and at rest, using AWS KMS across Amazon RDS and Amazon S3
- A least-privilege Identity and Access Management (IAM) setup
- A private-network database architecture that keeps Amazon RDS off the public internet
- Multi-trade contractor subscription model with membership-based pricing
- Stripe-based subscription management, with upgrades, downgrades, and pauses handled via API Gateway and Lambda
Technologies
AWS WAF, AWS KMS, AWS Secrets Manager, AWS IAM, Amazon VPC, Amazon CloudWatch, AWS CloudTrail, AWS X-Ray, Amazon API Gateway, AWS Lambda, Amazon EventBridge, Amazon SQS, Amazon RDS for PostgreSQL, Cloudflare Turnstile, Twilio, Stripe
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