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Careers SaaS · AI · 2026
ApplyFlow

An AI CV platform shipped on shared infrastructure.

A structured CV builder with Claude-powered rewriting, a job feed aggregator, auto-apply workflows, and subscription-gated AI — all delivered as a tenant on the Orriq core in weeks rather than quarters.

ApplyFlow
Shared core
Auth & billing
Claude + Gemini
AI providers
Weeks
Time to launch
The challenge

ApplyFlow wanted to launch quickly, but off-the-shelf SaaS starters locked them into rigid data models and templated auth flows. They needed structured CV entities (experience, education, skills), AI rewriting that respected job-specific context, and auto-apply capability — none of which fit a generic starter.

The build

Spun up as a tenant on the Orriq core, inheriting auth, billing, analytics, and observability. Structured CV entities with AI-assisted content generation. Claude API for context-aware rewriting. Job listing aggregator with multi-source feeds. Auto-apply workflow matching profiles to opportunities. Subscription-tier gating on application limits.

ApplyFlow UI screen

Platform screenshot · demo data

Inside the build

Every feature shipped, line by line.

CV builder
  • Structured Experience, Education, Skills entities
  • AI-suggested rewrites per section
  • Live A4-style preview
  • Multiple CV profiles per user
AI
  • Claude API for context-aware content rewriting
  • Gemini for visual asset generation
  • Token usage metering per user
  • Per-job CV tailoring
Job feed
  • Multi-source job aggregator
  • Match scoring to user profile
  • Public job detail pages
  • Application initiation flow
Platform
  • Subscription tier gating
  • Application tracking dashboard
  • Shared Orriq auth + billing
  • Vercel edge deployment
Outcomes
01
From concept to live product in weeks, not quarters
02
Shared infrastructure cost amortised across the Orriq platform
03
AI costs predictable and observable per-user
04
Candidate data owned, never syndicated
Next.js
Supabase
Claude API
Gemini
Vercel

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