AI as the interface, not a feature.
Match scores appear on every job the candidate sees, everywhere. Not tucked into a settings page or a marketing splash — the AI is the way the product works.
Case Study · 2025 · Product · AI
A recruiting platformwith AI at the center.
TalentBridge is a hiring platform built as a product, not a one-off. A candidate uploads one resume and gets ranked matches across every employer on the platform — with the skills that matched called out on every card. Employers post roles and see the same scores. Built end-to-end: product design, front-end, and the AI that scores every application against every role.
The Brief
Uploading a resume shouldn't feel like sending it into a void.
Job boards are a black box. A candidate uploads a resume, then scrolls pages of unrelated listings hoping something matches. Employers get hundreds of applications a week from people who were never a fit. Both sides lose, and every company running its own careers page rebuilds the same broken loop from scratch. TalentBridge exists to fix that loop once and license it: upload a resume, and the platform immediately shows the roles you actually qualify for — ranked by fit, across every employer on it, with the reasoning visible.
- Product
- TalentBridge
- Type
- Multi-tenant SaaS · licensable
- Role
- Product Design · Front-End · AI Integration
- Year
- 2025
- Stack
- Next.js · Supabase · Vercel · OpenAI
The Approach
Five moves that shaped the build.
Built as a product from day one — multi-tenant, brandable, and organized around a single center of gravity: the AI match. Every decision started there.
Show the work.
Every match includes 'why we matched you' — a list of the specific skills, experience, and preferences the AI pulled from the resume. If the AI can't defend the score, it doesn't get to display one.
Under 30 seconds from upload to matches.
The whole loop — resume upload, parse, score against every open role, rank, render — completes in the time it takes to switch tabs. Anything slower breaks the trust of the interaction.
One system, many companies, any industry.
Candidates, employers, and platform admins all read the same score from the same model — no parallel truths. Employers onboard themselves, post roles, and manage their own pipeline behind role-based access and row-level security, so one deployment serves every company on it. Nothing in the data model, the taxonomy, or the matching assumes a single sector: the same platform runs a software company, a hospital network, and a restaurant group side by side.
Ship it end-to-end.
Design, front-end, AI wiring, deployment. No hand-off across half a dozen teams. The person shipping the pixel is the person shipping the prompt is the person shipping the deploy.
The AI Moment
Upload once. See the roles you fit.
A candidate uploads their resume. The AI parses it into structured signal — experience, skills, certifications, seniority, location and work preferences. That signal is scored against every open role from every employer on the platform, in any industry. The top matches surface immediately, with the matched skills highlighted on each card. No scroll-and-hope.
01Upload the resume
Drag and drop. PDF, DOC, or DOCX up to 5MB. Encrypted at rest, only visible to employers the candidate applies to.
02Analyzing
The AI parses the resume in seconds. Skills, experience, education, contact info — all extracted for pre-fill and matching.
03Ready to match
Confirmation, security messaging, and the option to auto-fill the profile from the parsed resume in one click.
The payoff
Ranked matches, with reasoning.
Every match shows the score, the pay range, and the specific skills that matched — and the roles come from five different employers. One resume, one upload, the whole marketplace ranked. That is the part a single company's careers page can never do.
The Product
Every surface, built around the match.
A tour of the candidate flow, from job detail through applications tracking, plus the platform admin surface. Every screen reads the same AI score, and every role carries its own employer.
01Job Detail
Match reasoning on every job.
The candidate opens a role from one of the employers on the platform. The 96% match score is right there. Underneath: a full list of the specific signals from their resume the AI matched on. Certifications, years of experience, commuting radius, shift tolerance — each one confirmed or bonus.
- Sparkle-icon AI badge with big match percentage
- Eight-signal reasoning panel: 'why we matched you'
- Save / Apply CTAs in a fixed action strip
- Responsibilities and requirements below the fold
02Applications
One place to track everything.
Every role the candidate applied to — across seven different employers — in one list, sorted by status. Match scores travel with each application so candidates can revisit the reasoning at any point. Filter chips mirror the pipeline stages employers use.
- Filter row: All, In review, Interviewing, Offer, Closed
- Match score chip on every row — score never leaves the candidate view
- Status pill per row, color-coded to pipeline stage
- Last-update timestamp so nothing feels stale
03Admin
Same AI score, operator view.
The platform admin sees the applications feed across every employer in real time, with the exact same match scores the candidate sees. Roles needing attention — under-applied, aging past five days — surface automatically. Applicant flow, matching quality, and role health, all on one page.
- Four KPIs at the top: candidates, applications, avg match score, roles open
- Live applications feed — every new apply with its match score
- 'Roles that need attention' panel: aging or under-applied roles surface automatically
- Left rail collapses to admin-only routes; same design system as candidate
Under the Hood
Built end-to-end.
Next.js 15Framework · App Router
TypeScriptTypes across the codebase
Tailwind CSSDesign system implementation
SupabaseAuth, database, storage
VercelDeploy target, edge runtime
OpenAI APIResume parsing + match scoring
In Detail
Selected screens.
Extra detail on the design system, the AI flow, and the admin surface. Screens are recreations of the shipped build, drawn to its real design system. Every employer shown is fictional demo data, drawn from a different industry on purpose — the platform is not built for one vertical.
Have a product that could use this level of AI integration?
Let's build the next one.
Product design, front-end, and AI integration, treated as one connected practice — not three vendors. If that's the conversation you're trying to have, this is where it starts.