Case Studies › MyBestHelper
Healthcare & Care Platforms

A Caregiver Marketplace Built for Trust and Scale

Finding reliable childcare or elder care is stressful and time-consuming. MyBestHelper needed a platform that made it simple, safe, and scalable across hundreds of cities. We built the matching engine, profiles, and workflows to make that happen.

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M
MyBestHelper
Healthcare & Care Platforms
300+
cities covered
10k+
caregiver matches
16 wks
to market launch
16 weeks
timeline
This engagement is best for
Marketplace founders building service-based platforms
Care platforms that need trust-based matching at scale
Businesses expanding operations across multiple cities
Founders needing search, filtering, and matching infrastructure
The Transformation

Before & After

Before
✕ No centralised platform to connect families and caregivers
✕ Manual vetting and matching process done by the team
✕ Geographic expansion blocked by operational constraints
✕ No standardised caregiver profiles or review system
✕ Job posting and application handled entirely via email
After
✓ Full marketplace with self-serve caregiver profiles and job postings
✓ Smart matching based on location, availability, and care requirements
✓ Elasticsearch-powered search covering 300+ cities
✓ Automated vetting workflow with review and rating system
✓ Families can find and book a caregiver in under 10 minutes
What We Built

Deliverables & Scope

Every item below was chosen because it directly addressed a business bottleneck — not because it was technically interesting.

01
Caregiver profile and verification system
02
Family job posting and matching engine
03
Elasticsearch-powered location and skills search
04
In-platform messaging between families and caregivers
05
Review and rating infrastructure
06
Admin dashboard for vetting, disputes, and platform management
ROI Logic

Why This Generated
Real Business Value

Every minute saved in the matching process means families get the care they need faster. With automated matching and search, MyBestHelper removed the human bottleneck from their operations — allowing city coverage to expand without proportional headcount growth. The platform now handles matching that previously required a dedicated team.

Key Outcomes
300+
cities covered
10k+
caregiver matches
16 wks
to market launch
Why It Worked

The Decisions That
Made the Difference

Good execution matters. But the right early decisions matter more.

01
Elasticsearch enabled geographic expansion without rebuilding the search layer each time
02
Trust infrastructure (reviews, verification) increased booking conversion rates significantly
03
Self-serve caregiver profiles reduced support load and onboarding time
04
The matching algorithm prioritised quality and relevance over raw volume of results
Tech Stack
Ruby on Rails Node.js PostgreSQL Elasticsearch
Integrations
Stripe Twilio SMS SendGrid
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