All work

Case study · Equestrian recruitment

Yehaww.

In 2023, our team collaborated on building a first-of-its-kind SaaS recruitment platform tailored for the global equestrian industry.

What we built
SaaS recruitment marketplace with admin dashboard
Stack
Next.js 12.2.4, CSS Modules (styling), Axios (HTTP client), Node.js (runtime environment)
Services
SaaS platformAI CV parsingCandidate rankingVideo interviewsSubscription billing
Tilted laptop showing a job applicants dashboard with shortlist counts

About the project

What is Yehaww?

In 2023, our team collaborated on building a first-of-its-kind SaaS recruitment platform tailored for the global equestrian industry. The platform was designed to connect employers, such as barn managers, trainers, and horse care providers, with skilled job seekers ranging from riders to caretakers. The solution not only created a central hub for the equine community but also introduced AI-driven automation, smart candidate ranking, and video interview features, providing a modern digital infrastructure to a niche industry that had not previously experienced this level of technology adoption.

The problem

What was slowing them down.

  1. 01

    Time-consuming sign-up processes

    The candidate onboarding form was lengthy and discouraged job seekers from completing registrations.

  2. 02

    Limited access to candidate history

    Employers needed structured access to detailed candidate profiles, but not all could justify paying premium fees without real value.

  3. 03

    Inefficient hiring workflows

    Searching through candidate data and scheduling interviews was manual, inconsistent, and prone to inefficiencies.

The solution

What we built.

Two-Sided Marketplace

  • Employers: Post jobs such as horse rider, barn manager, caretaker, etc.
  • Job Seekers: Create profiles, apply to jobs, and showcase experience.

AI-Powered Candidate Onboarding

  • Integrated OpenAI API to allow candidates to simply upload a CV.
  • The system automatically extracted and pre-filled profile details, significantly reducing friction in sign-up.
  • Result: Higher registration rates and improved user retention.

Subscription Model (Plus Membership)

  • Free employers: Basic candidate access.
  • Paid employers: Access to detailed candidate history, enhanced search features, and AI-driven profile insights.

Smart Candidate Ranking Algorithms

Matching engine sorted candidates based on job requirements and relevance, making it easier for employers to shortlist applicants.

    Built-in Communication

    Built-in video interview functionality for employers to connect directly with candidates, eliminating the need for external tools.

      Results

      What changed.

      Employers and job seekers

      • User Retention Boost

        AI-powered CV parsing reduced drop-offs during registration, increasing candidate sign-ups.

      • Employer Value

        Subscription-based employers gained powerful hiring insights, making the Plus plan more attractive and improving monetization.

      • Time Savings

        Automated data extraction and candidate ranking reduced the time required for employers to find suitable applicants.

      • First-Mover Advantage

        Established a unique SaaS recruitment model within the equestrian industry, creating new digital opportunities in a niche market.

      Key challenges

      The hard parts, and how we solved them.

      • Candidate drop-off at registration

        Integrated AI-based CV parsing to auto-fill sign-up forms.

      • Convincing employers to upgrade to paid plan

        Added exclusive Plus features like candidate history access and smarter ranking tools.

      • Complex candidate search & filtering

        Designed and implemented ranking algorithms to simplify talent discovery.

      • Communication without external tools

        Built-in video calling feature, eliminating dependency on third-party apps.

      Laptop showing an admin jobs table with status badges and salariesTablet showing a candidate reference page with star ratings

      Tech stack

      What it runs on.

      Frontend
      Next.js 12.2.4CSS Modules (styling)Axios (HTTP client)
      Backend
      Node.js (runtime environment)Nodemailer (email functionality)
      Database
      MongoDB (NoSQL database)Mongoose (MongoDB ODM)
      Authentication & Security
      JWT (JSON Web Tokens)bcryptjs (password hashing)
      AI/ML
      OpenAI API (CV upload parsing & AI onboarding automation)

      Process

      How we got there.

      1. 01Candidate Onboarding

        Upload CV · AI auto-fills sign-up form

      2. 02Employer Registration

        Post jobs (free or Plus membership)

      3. 03AI Matching

        Candidates ranked by relevance

      4. 04Interview Stage

        Video calls scheduled and conducted within the platform

      5. 05Hiring Decision

        Employers access candidate history & finalize hires

      Building something like Yehaww?