An AI-first recruitment MVP shipped in under 8 months
A startup concept with no code became a launch-ready, mobile-first recruitment product built around four AI workflows, delivered by a 6-person Rollout IT team in under 8 months.
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Snapshot
| Field | Detail |
|---|---|
| Client | Reelu |
| Industry | HRTech / recruitment |
| Region | Spain |
| Company stage | Startup, MVP from zero |
| What we built | Mobile-first AI recruitment platform and career assistant |
| Tech stack | Next.js, Vercel, Supabase, GPT-based generative AI, matching models |
| Time-to-value | Release-candidate MVP by July 2025, under 8 months from kick-off |
| Headline KPIs | Under 8-month delivery – 4 AI-powered core features – 6-person integrated team |
The challenge
Reelu came to Rollout IT with a concept and no existing assets. The ambition was broad: a polished, mobile-first recruitment platform with generative AI at the center of the experience, not bolted on at the edges. The assistant had to feel like a career guide, not a form. That raised the bar on delivery, because acceptance testing could no longer stop at “does the button work.” The team also had to judge whether each AI response was useful, in context, and consistent across multi-step reasoning, all while moving fast enough to hit an investor-relevant launch window.
Why Reelu chose Rollout IT
Reelu needed more than standard MVP execution. The choice came down to a partner who could run design, frontend, backend, and AI-workflow development in parallel while keeping product decisions visible to the founders. Rollout IT fielded a dedicated six-person team spanning product management, design, full-stack engineering, and AI engineering, so the founders got product thinking and delivery in one place.
The solution
We started UX/UI design on day one while backend, frontend, and AI work ran in parallel, which meant real AI outputs could be tested and calibrated during the build rather than after it. The platform ships with four differentiating AI capabilities: an AI CV Transformer that converts uploaded CVs into a clean internal format, an AI Career Coach that runs an interactive Q&A to surface missing skills and achievements, a matching engine that pairs candidates with relevant roles from their context, and a storyboard generator that turns the analysis into a richer career profile.
The stack, Next.js on Vercel with Supabase for data and auth, was chosen so the architecture could keep absorbing model updates after launch, because AI quality improves through iteration, not a one-time handoff. As a partner rather than a staffing line item, Rollout IT owned the AI testing and tuning loop and handed it back as a repeatable routine the team can run itself.
Results
- A production-ready, mobile-first AI recruitment MVP, delivered in under 8 months.
- Four AI-powered features that separate the product from a standard job board.
- A repeatable AI review-and-tuning process the Reelu team can run after launch.
| Metric | Before | After | Timeframe |
|---|---|---|---|
| Product state | Startup concept, no assets | Production-ready MVP release candidate | Under 8 months |
| Candidate workflow | Static CV submission | AI CV transformation plus guided Q&A | MVP scope |
| Role matching | Manual job-board browsing | Contextual AI-assisted matching | MVP scope |
| AI output quality | Unmeasured | Dedicated AI review and tuning cycles | Throughout build |
The AI angle
AI shaped the product, the workflow, and the testing strategy. The assistant transforms candidate data, asks sharper questions, and supports matching decisions, giving employers richer profiles and helping candidates tell a clearer career story. The business value is not “AI for its own sake”: it is a differentiated candidate experience that a template job board cannot match.
What’s next
The strongest proof will come from adoption after launch: profile-completion rate, AI-assisted application rate, employer shortlist quality, and candidate-to-role fit feedback. Rollout IT and Reelu are set up to keep tuning the models against that live data, which is where an AI product earns its edge.
FAQ
How long did the Reelu MVP take to build? Under 8 months from kick-off to a production-ready release candidate, reached by July 2025.
What AI features does the platform include? Four: an AI CV Transformer, an AI Career Coach (interactive Q&A), a contextual matching engine, and a storyboard generator for richer career profiles.
What technology is it built on? Next.js on Vercel, Supabase for database and authentication, and GPT-based generative AI with custom matching models.
Can Rollout IT build an AI-first MVP from scratch? Yes. Reelu started with no code; Rollout IT delivered design, frontend, backend, and AI workflows with a single integrated team.
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