Recruitment & Hiring Management
Build an AI-powered job matching and hiring platform
Kliv is an AI app builder. Describe your niche hiring platform, and it builds candidate profiles, job posts, semantic matching, employer pipelines, screening transcripts, and subscription plans.
Just enter your idea into the text box and AI will build it for you
What is Kliv?
Kliv isn’t a generic job board product with fixed candidate fields — it’s an AI that builds software for you.
You describe the app you need in plain words, and Kliv builds it: the profiles, job posts, matching logic, employer accounts, payments, and public pages. What you get is a real app that’s yours. You can run it on your own domain, use your own Stripe account for employer plans, and change it later by asking. It isn’t a template.
On this page, that app is a niche job matching and hiring platform. Kliv builds all kinds of web apps; this is one example.
Why build your own hiring platform?
Large job boards are built for broad keyword matching. A niche recruiter knows the fields that matter: certificates, sea time, systems, dates, license expiry, and role-specific requirements.
Kliv can build the platform that encodes that niche. Candidate profiles use the fields your market needs, matching combines hard requirements with meaning-based search, and employer accounts pay for access to a pool you curate.
What the system knows
The expertise becomes fields, rules, and employer-specific workspaces.
Candidate profiles
Profiles store certificates with expiry dates, sea time by vessel type, systems experience, and availability windows.
Job posts
Posts carry requirements as data, such as required certificates, minimum sea time, and rotation length, so matching can compare facts.
The match index
Profiles and posts are semantically indexed, so a candidate can surface even when the wording differs from the job post.
Employer pipelines
Each employer organization works its own pipeline with shortlists, notes, and interview stages hidden from other employers.
The screening assistant
The assistant answers candidate questions from the posting and employer requirements, collects availability, and stores transcripts.
Plans and postings
An employer plan such as $299 per month for five active posts can enforce posting limits as subscription entitlements.
An example: Selma’s maritime crewing platform
Here’s how one niche hiring business might use a job matching platform built with Kliv. It’s only an example — you would describe your own candidates, employers, matching rules, and plans.
A role becomes structured requirements
A fleet operator posts a chief-engineer role with required certificates, sea time, and rotation length. The plan covers it, and the active-post counter updates.
Matching combines facts and meaning
The first pass finds eleven candidates, including two whose profiles use different wording but describe the right experience.
Screening answers routine questions
Candidates ask about rotation and start dates. The assistant answers from the post and collects availability, leaving transcripts for Selma.
The employer works a private pipeline
Four candidates move into the operator’s pipeline. Notes, stages, and documents stay inside that employer’s workspace.
The hire closes the post
When the offer is accepted, the post archives and the candidate profile marks placed. The employer’s subscription renews without manual invoicing.
Describe what you want to build
Kliv builds from your description, so the more detail you give, the closer the first version. Include candidate fields, job requirements, matching rules, employer limits, and pricing. Here are three to build on:
Maritime crewing board
Certificates, sea time, vessel matching.
“Build a job platform for maritime crewing with candidate profiles tracking certificates with expiry dates, sea time by vessel type, systems experience, and availability. Match against vessel requirements, and sell employer plans at $299 per month for five active posts.”
Healthcare locum platform
Licenses, shifts, and expiring documents.
“Build a locum staffing platform where clinicians list licenses, specialties, shift availability, and document expiry dates; facilities post shifts with credential requirements; and matching flags expired or soon-expiring documents.”
Film crew directory
Credits, kit, and date conflicts.
“Build a crew-matching platform where production companies post projects by role, location, and dates; crew profiles carry credits, kit, and union status; and bookings check date conflicts before a shortlist is sent.”
How it comes together
Employers are organizations. A crewing manager can invite colleagues, and roles decide who may shortlist and who may only view. Sign-in can support email, Google, passkeys, and two-factor.
Plans are entitlements with billing attached. The platform checks the posting limit when post six is created. Upgrades can prorate and open capacity immediately. Kliv doesn’t price by how many candidates or employers your platform holds; subscription revenue can land on your own Stripe account.
Public posts can be found. Every public job page can ship with an auto-generated sitemap and prerendered snapshots for crawlers, so niche roles can rank for searches broad boards miss.
Charging other businesses for software access involves trials, upgrades, failed payments, and tax. SaaS on Kliv covers that discipline.
Common questions
What exactly is Kliv?
Kliv is an AI that builds custom web apps from a description. For hiring, it can build candidate profiles, job posts, matching, employer pipelines, screening transcripts, and subscription plans.
Do I get a real app, or a template?
A real app. Kliv builds the data, matching behavior, employer workspaces, public pages, and payment rules for your niche.
Can I change it after it’s built?
Yes. Add profile fields, change posting limits, revise matching, or add a new employer role by asking for changes.
How does the matching actually work?
Hard requirements can be structured filters, such as certificate present and valid. The rest can use semantic search over profiles and posts in your own database.
Can employers see each other’s candidates or notes?
Employer pipelines, notes, and shortlists can be walled per employer organization. What the shared talent pool exposes is your product decision.
What does the screening assistant know?
It answers from the job post, the employer’s uploaded requirement documents, and the signed-in user’s allowed context, with conversations stored as transcripts.
How are posting limits enforced?
As subscription entitlements. The app checks the limit when a post is created instead of relying on a manual policy.
Can employers invite teammates?
Yes. Employer accounts can be organizations with roles for viewers, recruiters, and admins.
Will public job pages show up in search?
Yes. Public pages can be prerendered for crawlers and included in an auto-generated sitemap.
Does Kliv take a cut of employer subscriptions?
No. Employer payments can run through your own Stripe account; card processing fees are between you and Stripe.
Can I move off Kliv later?
Yes. The app source can sync to your own Git repository, and candidate, employer, and job records remain yours.
Can matching use niche-specific fields?
Yes. That is the point: certificates, sea time, licenses, dates, kit, credits, or whatever your market actually uses can be part of the schema.
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Build the hiring platform your niche needs
Describe your candidate fields, employer roles, matching rules, and plans. Kliv builds the platform around that knowledge.
