Delivered engagementAI & Agents · $15k – $25k
Twine

Scaling Global Talent Infrastructure

Delivered engagement. Coralsoft designed and built this product end to end; figures below retain their evidence level.

WebNext.js (App Router)ReactTypeScript
twine.example / dashboard
Twine — product interface
The situation

What was in place before we started.

Twine is a global freelance hiring platform connecting companies with vetted creative, technical, and AI talent — trusted by Netflix, Amazon, Experian, Intuit, and Avast.

Twine is a global freelance hiring platform connecting companies with vetted creative, technical, and AI talent — trusted by Netflix, Amazon, Experian, Intuit, and Avast.

Engagement
4 months reconstructed
Team
7 people
Budget
$15k – $25k reconstructed
Trusted by
Netflix · Amazon · Experian · Intuit
Network
Large distributed freelancer network
Marketplace
Multi-category talent network
Verticals
AI & ML developer talent
Implementation architecturereconstructed
Next.js (App Router)ReactTypeScriptTailwind CSSTanStack QueryReact Hook Form + ZodVercel AI SDKpgvectorTypesenseNode.js + HonoDrizzle ORM + PostgreSQLRedis
Challenges

Each constraint, and what we did about it.

Constraint

Slow talent discovery & weak search relevance

What we did

AI-assisted talent matching

Constraint

High hiring friction across the funnel

What we did

Faster freelancer discovery

Constraint

Fragmented freelancer workflows

What we did

Unified hiring workflows

Constraint

Low recruiter visibility

What we did

Scalable search infrastructure

Constraint

Mobile UX inconsistencies

What we did

Mobile-first marketplace experience

Constraint

Hard to scale marketplace operations

What we did

Operational analytics systems

Modern hiring marketplaces need speed, discoverability, and scalable infrastructure to serve both talent and enterprise clients.

Results

Outcome, with the source of every figure.

4-month engagement
+27%
Freelancer profile engagement.
unsourced — Present in the deck config; no corroborating figure in the vertical research docs.
+19%
Hiring conversion improvement.
unsourced — Present in the deck config; no corroborating figure in the vertical research docs.
43%
Faster talent discovery workflows.
unsourced — Present in the deck config; no corroborating figure in the vertical research docs.
+31%
Mobile session duration.
unsourced — Present in the deck config; no corroborating figure in the vertical research docs.
500k+
Freelancer network scalability
unsourced — Present in the deck config; no corroborating figure in the vertical research docs.
+24%
Faster application completion
unsourced — Present in the deck config; no corroborating figure in the vertical research docs.
↑
Improved recruiter retention
unsourced — Present in the deck config; no corroborating figure in the vertical research docs.
AI
Better matching relevance
unsourced — Present in the deck config; no corroborating figure in the vertical research docs.

By modernizing marketplace infrastructure and talent discovery workflows, Twine improved freelancer engagement and hiring efficiency while preparing the platform for long-term growth.

Showcase

How the system fits together.

4 of 7 views
twine.example
Twine — product interface
twine.example
Twine — product screenshot
twine.example
Twine — product screenshot
twine.example
Twine — product screenshot
Roadmap

How it was sequenced.

4 monthsreconstructed delivery
Month 1

Discovery & shaping

Marketplace audit, UX analysis, search & funnel planning.

  • Marketplace Frontend
  • Talent Discovery & Search
  • Marketplace Operations
Months 2–3

Core build

Frontend modernization, search & filtering, mobile UX, MVP.

Month 4

Launch & iterate

AI matching, search indexing, recruiter workflows, analytics, hardening.

  • Hiring Workflow
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Every case study is a Coralsoft delivery story, with the evidence behind each figure kept visible.