Job-to-profile matching
A relevance model that ranks candidates for recruiters and roles for members, learning from application and hire outcomes.
AI-Built LinkedIn Clone
An AI-first build of the professional network pattern: candidate-to-job matching that learns from recruiter behavior, fake-profile detection that keeps the graph credible, and feed ranking tuned for industry conversation. Three synced panels ship white-label with 100% source code. The almost-ready AI build goes live in 6 working days; a custom build takes 3 to 4 weeks.
Launch-ready from
$4,599
Synced panels
Almost-ready AI launch
Custom build
Source-code ownership
Canonical Moxace facts behind every build.
overview
A LinkedIn clone app is a professional networking platform: career profiles with experience and skills, an industry feed, connection-based networking, and a two-sided jobs marketplace where recruiters post roles and manage applicants through a hiring pipeline. Ours is built AI-first, with job matching, profile trust scoring, and feed relevance running as model-driven services in the platform core. It ships as a member app, a recruiter panel, and an admin console under your brand.
The business problem it solves is focus. General professional networks flatten every profession into one feed and one job board, while an owned network can serve one industry, one region, or one licensed profession with verification rules, job categories, and content that fit exactly.
Recruiter revenue is the engine. Employers pay for job slots, applicant tooling, and search access, which means the platform earns from the side of the marketplace that already budgets for hiring, while members join free and build the graph recruiters pay to reach.
Vertical professional networks, from healthcare staffing to skilled trades, keep demonstrating that recruiters will pay for a candidate pool matched to their niche, which is the durable market context behind this product category.
The summary layer above the member, recruiter, and admin panels detailed below.
A relevance model that ranks candidates for recruiters and roles for members, learning from application and hire outcomes.
Email-domain verification, behavioral anomaly detection, and review queues that keep the network credible.
Experience, skills, endorsements, and privacy controls, with verification tiers that match professional expectations.
Consent-based first-degree graphs with introductions and second-degree reach powering recruiter search.
Article posting, company follows, and topic threads ranked for professional relevance rather than virality.
Applicant tracking, faceted candidate search, bulk shortlist messaging, and interview scheduling.
Employer accounts with role-based access, so agencies and hiring teams work in one workspace.
Job promotion, sponsored feed content, and premium member tiers, all admin-configurable.
Every profile on this list can reach a candidate pool the general networks flatten into noise.
Turning candidate relationships in one industry into a recurring-revenue network instead of a search-fee treadmill.
Pairing credentials verification with a jobs board so the network serves members and the budgets of their employers.
Extending an existing ATS with a network layer that feeds it, on infrastructure they own.
Building professional communities for markets and languages the global platforms underserve.
Connecting graduates to employers in the verticals they certify for, monetizing placement rather than tuition alone.
Members, recruiters, and operators each get a purpose-built surface.
A career-focused profile and feed experience that stays useful between job moves.
The hiring side of the marketplace, priced as your core revenue engine.
Network operations, trust, and billing under one console.
Four consoles, one view of the network's members, hiring flow, and revenue.
Member verification and flagging tools, fake-profile and spam detection queues, behavioral anomaly thresholds tuned per deployment, and IP bans with reasons and expiries for abuse that survives account deletion.
Job listing approval workflows with state visibility, recruiter seat administration, company page and claims oversight, and report triage where the content and the reporter are both in view before an action.
Reports, actions, and appeals as separate records with their own statuses, actions attributed to the named moderator who took them, and a feature-flag console for staged module rollout to tiers or cohorts.
Subscription state with payment failures visible and manual intervention immediate, revenue and cohort analytics, tax and invoice reporting, API rate-limit configuration, and GDPR export and deletion request pathways.
The two-sided journey members and recruiters take through a professional network.
A professional signs up, builds a profile with experience and skills, and verifies their email domain to strengthen network credibility.
Members send connection requests, accept introductions, and follow companies and topics to shape their feed.
Members post articles and updates, comment on industry threads, and earn visibility inside their professional graph.
A member searches roles, saves alerts, and applies in one tap using profile data, with screening questions routed to the recruiter.
The employer posts the job, screens the applicant pool with faceted search, shortlists candidates, and moves them through an tracking pipeline to interview scheduling.
Fake-profile detection, job listing approval, and report triage keep both sides of the marketplace trustworthy as it scales.
Five model-driven systems working the same professional graph. Each ships pre-tuned for professional networking and sharpens as your data compounds.
Ranks roles for members and candidates for recruiters from skills, experience, and outcome history on both sides.
Profile data, job requirements, application outcomes, recruiter behavior
Higher application-to-interview conversion for recruiters
Scores profiles for authenticity signals and flags anomalies for review, protecting recruiter trust in the graph.
Email domains, career timelines, behavioral patterns, report history
A candidate pool recruiters pay to search
Orders faceted search results by predicted fit and activity, so shortlists form in minutes rather than days.
Search filters, profile completeness, availability signals
Faster shortlists and higher recruiter seat retention
Ranks posts by professional value to each member, keeping the feed useful between job moves.
Connections, topics followed, engagement history, industry signals
A feed members check weekly, not only when job hunting
Summarizes applicant fit against screening questions so recruiters triage pipelines faster.
Profile data, screening answers, job requirements
Less time in review, more time interviewing
platform concepts
Professional networks run on a different graph than consumer social. Connections are consent-based and degree-aware: first-degree connections see each other's activity directly, while second-degree reach powers introductions and recruiter search. Every edge is intentional, which is what keeps the feed relevant between job moves.
Jobs are state machines too: a listing moves from draft through approval to published, then filled or closed, and each application holds its own status inside the recruiter's pipeline. The two state machines meet at apply, where profile data flows into the recruiter's review without retyping.
Verification underpins both sides. Email-domain checks, behavioral anomaly detection, and a manual review queue decide whether a profile and a job listing can be trusted, and those thresholds are yours to tune in the admin panel.
Four groups, each mapped to the part of the professional promise it protects.
Profiles with every professional section and a completeness indicator, consent-based connections with pending and accepted states, directional follows, recommendations, profile views, and mentions as first-class records.
A feed with posts, comments, reactions, polls, and collections, company pages with admin oversight and claims, and per-post analytics rendered from the live tables the platform runs on.
Jobs moving through a seven-transition hiring pipeline with per-application status, recruiter search across second-degree reach, and outreach metered against an InMail credit wallet instead of unmetered messaging.
Course delivery that writes completed credentials back to the member profile, so learning compounds identity rather than living in a separate silo, plus sales lead lists with team sharing for revenue teams.
revenue model
The proven model translates directly: recruiter subscriptions for job slots and applicant tools, sponsored jobs and promoted feed posts, premium member tiers with profile insights, and featured company pages. Lines are admin-configurable, so you can launch free and switch monetization on once the network has density.
Since 100% of the source code transfers to you, subscription billing runs through your own gateway. Vertical networks often pair this engine with our dating app development matching patterns when member-to-member fit matters.
insight
Professional networking platforms serve close to a billion members globally according to widely published industry figures, and B2B-focused recruitment spend keeps shifting toward platforms that own the identity graph. A professional network's economics differ from consumer social: members accept subscription pricing because the network is a career asset, not entertainment.
The wedge for a regional or sector operator is the entitlement ladder: free members form the graph, premium tiers sell insights and reach, and recruiter and sales seats monetize the intent around it. Credential verification tuned to your sector is what makes the network worth paying into. The revenue table below quantifies the lines.
revenue model
The proven model translates directly: recruiter subscriptions for job slots and applicant tools, sponsored jobs and promoted feed posts, premium member tiers with profile insights, and featured company pages. Lines are admin-configurable, so you can launch free and switch monetization on once the network has density.
Since 100% of the source code transfers to you, subscription billing runs through your own gateway. Vertical networks often pair this engine with our dating app development matching patterns when member-to-member fit matters.
Six monetization lines across the network, quantified against published industry benchmarks. Every rate is admin-configurable; the figures here are modelling inputs, not projections of your platform's earnings.
| Criteria | Revenue line | How it is charged | Typical range | What sets the ceiling |
|---|---|---|---|---|
| Premium member tiers | Monthly or annual tiers with profile insights and reach | Premium tiers commonly $15 to $60+ per month | Insight value. Members renew when the data helps their career | |
| Recruiter seats | Subscription seats with job slots and applicant tools | Recruiter plans commonly $100 to $800+ per month per seat | Pipeline outcomes. Seats renew where the hiring pipeline actually fills | |
| Sales and outreach seats | Sales-tier seats with lead lists, team sharing, and InMail credits | Sales tiers commonly $60 to $150+ per month per seat | Response quality. Metered outreach earns while messages land with real prospects | |
| InMail credits | Prepaid credits metering outreach beyond connections | Per-message or credit-bundle pricing | Relevance. Recipients answer what is targeted, which keeps credits selling | |
| Sponsored jobs and promoted posts | Job promotion and feed placement sold per posting or period | Per-posting or per-day pricing, admin-set minimums | Graph density. Promotion earns where the right candidates actually browse | |
| Company presence | Featured company pages and employer-brand tools | Company plans commonly $50 to $500+ per month | Talent brand value. Pages earn while oversight keeps them credible |
Standard inclusions on every engagement, almost-ready or custom. Nine things you never have to ask for.
Member app, recruiter panel, and admin console transfer fully on delivery, with documentation and deployment scripts.
Your brand on every app and panel, deployed on your hosting under your accounts.
Both apps prepared and submitted to Apple and Google under your developer accounts, with production monitoring on.
Stripe, PayPal, and regional gateways configured for recruiter subscriptions, sponsored jobs, and premium tiers.
Job matching, trust scoring, and feed relevance arrive configured for professional networking, not as raw APIs.
Languages, currencies, and regional job taxonomies configured during the launch window.
Containerized services with Elasticsearch-powered search, Redis caching, and autoscaling for peak hiring seasons.
Revenue, cohort, and trust dashboards plus CSV exports so your team starts informed on day one.
Included support window plus product updates covering bug fixes, OS compatibility, and version upgrades.
Search quality and profile trust are the engineering center of gravity.
Flutter or React Native clients with native notification handling for job alerts.
Node.js or Python services, Postgres relational core, and Redis caching for profile reads.
Elasticsearch powering recruiter search with faceted filters on skills, tenure, and location.
Job-to-profile relevance scoring, email-domain verification, and anomaly detection on recruiter behavior.
Payment gateways, resume parsers, email and calendar providers, ATS import APIs, and analytics ship as configured integrations.
Role-based access, append-only audit logs, encrypted traffic and secrets, and data-residency options come standard for enterprise buyers.
The almost-ready AI build, day by day. Store review can add a short buffer outside our control.
Industry focus, job categories, and verification rules locked with a written scope, and your identity applied across all panels.
Subscription tiers, search facets, payment gateways, and notification services configured and tested against your live accounts.
Starter members, companies, and job listings imported, then profile, feed, apply, and recruiter pipeline flows tested end to end.
App store submissions with review buffers accounted for, production monitoring on, and full launch with post-launch support and product updates included.
Both tracks ship the same matching core. The difference is time, price structure, and how much you want to change.
| Criteria | Almost-Ready AI Launch | Custom Build |
|---|---|---|
| Time to live | 6 working days from branding handoff | 3 to 4 weeks, scoped before work starts |
| Pricing | Fixed written quote after a short scoping call, no hourly meter | Estimated per module after the discovery call |
| Source code and IP | 100% ownership on delivery | 100% ownership on delivery |
| AI layer | Job matching, trust scoring, and feed relevance pre-tuned for professional networking | AI services designed around your workflows and data |
| Jobs marketplace | Posting, pipeline, and sponsored jobs out of the box | Custom hiring workflows and ATS integrations to your spec |
| Best for | Operators who want to launch this quarter | Teams with bespoke workflows or a unique model |
| After launch | Post-launch support and product updates included | Post-launch support and product updates included |
$ moxace launch --nowBook a demo and we will show job matching, recruiter search, and the trust console on a live build, then send the written scope.
Share your idea
a quick call, no deck required
See the live demo
every screen, admin to user
Launch with source
full code, your brand, your servers
No two professional networks price the same. These are the factors that shape the written quote you receive after scoping.
Member profiles, company pages, and job posting ship standard. Recruiter workspaces, assessments, or premium subscription tiers beyond the core are scoped work.
Multi-language profiles, regional data-protection compliance, and per-market job taxonomies are configured at launch.
Applicant tracking systems, calendar and email providers, and payment gateways for subscriptions are wired during the build.
Matching models for jobs and candidates arrive pre-tuned. Tuning them on your member graph and hiring data is a separately scoped workstream.
Extend the LinkedIn-style build once the core identity graph is running.
Sector-specific badge schemes with document and issuer verification, so the credential that matters in your field is provable rather than self-declared.
Skill assessments with results written back to profiles as verifiable badges, giving recruiters a filter that means something and members a reason to demonstrate.
Professional event listings, registration, and attendee networking under the same identity graph, connecting the network to the rooms where deals happen.
Pushes of applicants and sales leads into external CRM and ATS systems with failure logging and retries, because the pipeline has to survive contact with the tools your clients already run.
Two-person approval on bans and an escalation tier above moderation, the governance depth regulated sectors and enterprise deployments ask for.
Deploy the network for associations, agencies, or sector bodies under their own brands, with per-tenant entitlement tiers and revenue configuration.
Ready-made speed with custom-build engineering discipline.
Connection graphs, introductions, and feed relevance are core architecture, not plugins bolted onto a directory.
The employer panel is designed as a paid product from day one, with seat management and usage analytics built in.
One hundred percent of the source code transfers to you. No per-seat royalties, no black-box dependencies.
The same team ships consumer-scale social products, including our social media app development engagements.
Canonical deployments from our own portfolio. Metrics are reported from live platforms, not projections.
A high-traffic consumer platform our team ships and operates at national-carrier scale, the same bar every build is held to.
A high-concurrency gaming platform from the same engineering system, proving the infrastructure holds under sustained load.
Tap a card to see how the network defends its members and its process.
InMail-style outreach is metered against a credit wallet rather than unmetered messaging, so paid reach stays scarce, priced, and accountable instead of collapsing into spam.
A report, the moderator's action, and an appeal each carry their own status and audit trail, which is what stops a ban from being final by accident and lets every decision be reviewed later.
Listings move through approval to filled or closed, and each application holds its status inside the recruiter's pipeline through seven transitions, so no candidate falls between stages.
Five entitlement tiers are enforced in middleware rather than interface rules, so a lapsed plan loses reach the moment its state changes, not after a sync.
GDPR export and account deletion requests run through separate intake and execution records, with deletion distinct from the request queue, so data rights are honored rather than acknowledged.
Feature flags let a module go live to one tier or cohort before the whole network, so new surfaces are proven on a bounded audience instead of everyone at once.
the process
You start with a demo call and leave with scope and a fixed quote in writing. From there the almost-ready AI build configures your brand, job categories, verification rules, and subscription tiers for a launch in 6 working days; custom recruiter tooling runs as a scoped engineering sprint with staged reviews.
Handover includes operator training on the recruiter panel and admin console, backed by 60 days of support and 12 months of updates. The first 90 days are about marketplace density: recruiting founding members before courting employers, seeding the feed with industry content worth returning for, and tuning verification thresholds as application and report data comes in. Networks that respect this sequencing scale; those that chase recruiter revenue before density stall.
Open the web app, sign in with the printed demo credentials, or install the Android build — no signup, no sales call. What you see is what you launch.
Free: [email protected] | demo1234
Premium: [email protected] | demo1234
$ moxace launch --nowDemo, scope, and a fixed quote in one working session with the build team.
Share your idea
a quick call, no deck required
See the live demo
every screen, admin to user
Launch with source
full code, your brand, your servers
Moxace is an independent software development company. We are not affiliated with, sponsored by, or endorsed by LinkedIn.
The phrase “LinkedIn clone” is used descriptively. It is how the software industry refers to building a platform with similar functionality, and how buyers search for one.
The design and codebase are built entirely by our in-house team. Nothing is taken from the LinkedIn website, applications, or brand assets.
LinkedIn and all third-party names and marks remain the property of their respective owners, referenced here only to describe the category of software we build.
Read the full legal notice on our disclaimer page.