Moxace

AI-Built LinkedIn Clone

LinkedIn Clone App Development

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

  • Live in 6 working days
  • 60 days support
  • Complete source codes
  • Complete rebranding
  • White-labeling
  • 1 year free updates
  • Synced panels

  • Almost-ready AI launch

  • Custom build

  • Source-code ownership

Trusted by the brands we build for

  • Etihad
  • Heineken
  • Marvel Studios

Proof before the pitch

Canonical Moxace facts behind every build.

  • /01
    2010
    Operating Since
    15+ years shipping apps
  • /02
    9,000+
    Projects Delivered
    across 35+ industries
  • /03
    3,900+
    Apps Published
    in 25+ countries
  • /04
    120+
    AI Products in Production
    98% model accuracy

overview

What is a linkedIn clone app?

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.

Main features of our LinkedIn-style platform

The summary layer above the member, recruiter, and admin panels detailed below.

Job-to-profile matching

A relevance model that ranks candidates for recruiters and roles for members, learning from application and hire outcomes.

Profile trust scoring

Email-domain verification, behavioral anomaly detection, and review queues that keep the network credible.

Career profiles

Experience, skills, endorsements, and privacy controls, with verification tiers that match professional expectations.

Degree-aware connections

Consent-based first-degree graphs with introductions and second-degree reach powering recruiter search.

Industry feed

Article posting, company follows, and topic threads ranked for professional relevance rather than virality.

Recruiter pipeline

Applicant tracking, faceted candidate search, bulk shortlist messaging, and interview scheduling.

Team seats and permissions

Employer accounts with role-based access, so agencies and hiring teams work in one workspace.

Sponsored revenue tools

Job promotion, sponsored feed content, and premium member tiers, all admin-configurable.

Who should launch a LinkedIn-style platform?

Every profile on this list can reach a candidate pool the general networks flatten into noise.

Staffing and recruitment founders

Turning candidate relationships in one industry into a recurring-revenue network instead of a search-fee treadmill.

Industry associations

Pairing credentials verification with a jobs board so the network serves members and the budgets of their employers.

HR technology companies

Extending an existing ATS with a network layer that feeds it, on infrastructure they own.

Regional operators

Building professional communities for markets and languages the global platforms underserve.

Training providers

Connecting graduates to employers in the verticals they certify for, monetizing placement rather than tuition alone.

Feature panels built for professional use

Members, recruiters, and operators each get a purpose-built surface.

module

Member app

A career-focused profile and feed experience that stays useful between job moves.

  • ✓Rich profiles with experience and skills
  • ✓Industry feed with ranked topics
  • ✓Job search with ranked matches and alerts
  • ✓One-tap apply with profile data
  • ✓Connection graph with introductions
  • ✓Endorsements and skill badges
  • ✓Direct messaging with archived threads
  • ✓Follow companies and topics
  • ✓Profile-view privacy controls
module

Recruiter & employer panel

The hiring side of the marketplace, priced as your core revenue engine.

  • ✓Job posting with screening questions
  • ✓Ranked candidate matches
  • ✓Applicant tracking pipeline
  • ✓Faceted profile search with filters
  • ✓Bulk messaging to shortlists
  • ✓Interview scheduling tools
  • ✓Team seats and role permissions
  • ✓Job performance analytics
  • ✓Sponsored job promotion controls
module

Admin panel

Network operations, trust, and billing under one console.

  • ✓Member verification and flagging tools
  • ✓Fake-profile and spam detection queue
  • ✓Job listing approval workflows
  • ✓Recruiter subscription management
  • ✓Sponsored content manager
  • ✓Revenue and cohort analytics
  • ✓Tax and invoice reporting
  • ✓API rate-limit configuration

The admin control plane: running the network as an operator

Four consoles, one view of the network's members, hiring flow, and revenue.

module

Identity and trust console

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.

module

Hiring and content console

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.

module

Moderation due process console

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.

module

Revenue and compliance console

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.

How linkedIn works: from profile to hire

The two-sided journey members and recruiters take through a professional network.

pipeline
  1. 01

    Member onboarding

    A professional signs up, builds a profile with experience and skills, and verifies their email domain to strengthen network credibility.

    ✓ step 01 complete
  2. 02

    Connection building

    Members send connection requests, accept introductions, and follow companies and topics to shape their feed.

    ✓ step 02 complete
  3. 03

    Feed participation

    Members post articles and updates, comment on industry threads, and earn visibility inside their professional graph.

    ✓ step 03 complete
  4. 04

    Job search and apply

    A member searches roles, saves alerts, and applies in one tap using profile data, with screening questions routed to the recruiter.

    ✓ step 04 complete
  5. 05

    Recruiter pipeline

    The employer posts the job, screens the applicant pool with faceted search, shortlists candidates, and moves them through an tracking pipeline to interview scheduling.

    ✓ step 05 complete
  6. 06

    Network oversight

    Fake-profile detection, job listing approval, and report triage keep both sides of the marketplace trustworthy as it scales.

    ✓ step 06 complete

AI inside the platform

Five model-driven systems working the same professional graph. Each ships pre-tuned for professional networking and sharpens as your data compounds.

Job matching

Ranks roles for members and candidates for recruiters from skills, experience, and outcome history on both sides.

Reads

Profile data, job requirements, application outcomes, recruiter behavior

Changes

Higher application-to-interview conversion for recruiters

Fake-profile detection

Scores profiles for authenticity signals and flags anomalies for review, protecting recruiter trust in the graph.

Reads

Email domains, career timelines, behavioral patterns, report history

Changes

A candidate pool recruiters pay to search

Recruiter search ranking

Orders faceted search results by predicted fit and activity, so shortlists form in minutes rather than days.

Reads

Search filters, profile completeness, availability signals

Changes

Faster shortlists and higher recruiter seat retention

Feed relevance

Ranks posts by professional value to each member, keeping the feed useful between job moves.

Reads

Connections, topics followed, engagement history, industry signals

Changes

A feed members check weekly, not only when job hunting

Application screening support

Summarizes applicant fit against screening questions so recruiters triage pipelines faster.

Reads

Profile data, screening answers, job requirements

Changes

Less time in review, more time interviewing

platform concepts

Concepts that run a professional network

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.

Feature groups that decide whether professionals stay

Four groups, each mapped to the part of the professional promise it protects.

module

Identity and graph

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.

module

Publishing and presence

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.

module

Hiring and outreach

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.

module

Learning and growth

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

How your professional network earns

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

The market numbers behind the professional network opportunity

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

How your professional network earns

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.

Revenue lines, typical ranges, and what sets each ceiling

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.

analysis
CriteriaRevenue lineHow it is chargedTypical rangeWhat sets the ceiling
Premium member tiersMonthly or annual tiers with profile insights and reachPremium tiers commonly $15 to $60+ per monthInsight value. Members renew when the data helps their career
Recruiter seatsSubscription seats with job slots and applicant toolsRecruiter plans commonly $100 to $800+ per month per seatPipeline outcomes. Seats renew where the hiring pipeline actually fills
Sales and outreach seatsSales-tier seats with lead lists, team sharing, and InMail creditsSales tiers commonly $60 to $150+ per month per seatResponse quality. Metered outreach earns while messages land with real prospects
InMail creditsPrepaid credits metering outreach beyond connectionsPer-message or credit-bundle pricingRelevance. Recipients answer what is targeted, which keeps credits selling
Sponsored jobs and promoted postsJob promotion and feed placement sold per posting or periodPer-posting or per-day pricing, admin-set minimumsGraph density. Promotion earns where the right candidates actually browse
Company presenceFeatured company pages and employer-brand toolsCompany plans commonly $50 to $500+ per monthTalent brand value. Pages earn while oversight keeps them credible

Every build ships with

Standard inclusions on every engagement, almost-ready or custom. Nine things you never have to ask for.

  • 100% source code, full IP

    Member app, recruiter panel, and admin console transfer fully on delivery, with documentation and deployment scripts.

  • White-label branding

    Your brand on every app and panel, deployed on your hosting under your accounts.

  • Store submission and launch

    Both apps prepared and submitted to Apple and Google under your developer accounts, with production monitoring on.

  • Payment integrations

    Stripe, PayPal, and regional gateways configured for recruiter subscriptions, sponsored jobs, and premium tiers.

  • AI models Pre-tuned

    Job matching, trust scoring, and feed relevance arrive configured for professional networking, not as raw APIs.

  • Multi-language and Multi-currency

    Languages, currencies, and regional job taxonomies configured during the launch window.

  • Scalable cloud infrastructure

    Containerized services with Elasticsearch-powered search, Redis caching, and autoscaling for peak hiring seasons.

  • Admin analytics and reports

    Revenue, cohort, and trust dashboards plus CSV exports so your team starts informed on day one.

  • Post-launch support and updates

    Included support window plus product updates covering bug fixes, OS compatibility, and version upgrades.

Stack choices for professional platforms

Search quality and profile trust are the engineering center of gravity.

/01

Mobile

Flutter or React Native clients with native notification handling for job alerts.

/02

Backend

Node.js or Python services, Postgres relational core, and Redis caching for profile reads.

/03

Search

Elasticsearch powering recruiter search with faceted filters on skills, tenure, and location.

/04

Matching and trust

Job-to-profile relevance scoring, email-domain verification, and anomaly detection on recruiter behavior.

/05

Integrations

Payment gateways, resume parsers, email and calendar providers, ATS import APIs, and analytics ship as configured integrations.

/06

Security and compliance

Role-based access, append-only audit logs, encrypted traffic and secrets, and data-residency options come standard for enterprise buyers.

Your launch timeline: live in 6 working days

The almost-ready AI build, day by day. Store review can add a short buffer outside our control.

pipeline
  1. 01

    Days 1-2: scoping and branding

    Industry focus, job categories, and verification rules locked with a written scope, and your identity applied across all panels.

    ✓ step 01 complete
  2. 02

    Days 3-4: configuration and integration

    Subscription tiers, search facets, payment gateways, and notification services configured and tested against your live accounts.

    ✓ step 02 complete
  3. 03

    Days 5-6: network seeding and pilot

    Starter members, companies, and job listings imported, then profile, feed, apply, and recruiter pipeline flows tested end to end.

    ✓ step 03 complete
  4. 04

    Days 7-9: store review and go live

    App store submissions with review buffers accounted for, production monitoring on, and full launch with post-launch support and product updates included.

    ✓ step 04 complete

Almost-ready AI launch or custom build for your network

Both tracks ship the same matching core. The difference is time, price structure, and how much you want to change.

analysis
CriteriaAlmost-Ready AI LaunchCustom Build
Time to live6 working days from branding handoff3 to 4 weeks, scoped before work starts
PricingFixed written quote after a short scoping call, no hourly meterEstimated per module after the discovery call
Source code and IP100% ownership on delivery100% ownership on delivery
AI layerJob matching, trust scoring, and feed relevance pre-tuned for professional networkingAI services designed around your workflows and data
Jobs marketplacePosting, pipeline, and sponsored jobs out of the boxCustom hiring workflows and ATS integrations to your spec
Best forOperators who want to launch this quarterTeams with bespoke workflows or a unique model
After launchPost-launch support and product updates includedPost-launch support and product updates included
$ moxace launch --now

Walk the network before you commit.

Book a demo and we will show job matching, recruiter search, and the trust console on a live build, then send the written scope.

launch.sequence3 steps
  1. 01

    Share your idea

    a quick call, no deck required

  2. 02

    See the live demo

    every screen, admin to user

  3. 03

    Launch with source

    full code, your brand, your servers

What moves your quote for a LinkedIn-style platform

No two professional networks price the same. These are the factors that shape the written quote you receive after scoping.

module

Scope of customization

Member profiles, company pages, and job posting ship standard. Recruiter workspaces, assessments, or premium subscription tiers beyond the core are scoped work.

module

Zones, cities, and markets

Multi-language profiles, regional data-protection compliance, and per-market job taxonomies are configured at launch.

module

Integrations

Applicant tracking systems, calendar and email providers, and payment gateways for subscriptions are wired during the build.

module

AI tuning depth

Matching models for jobs and candidates arrive pre-tuned. Tuning them on your member graph and hiring data is a separately scoped workstream.

Add-on modules that deepen the network

Extend the LinkedIn-style build once the core identity graph is running.

module

Credential verification workflows

Sector-specific badge schemes with document and issuer verification, so the credential that matters in your field is provable rather than self-declared.

module

Assessments and skill tests

Skill assessments with results written back to profiles as verifiable badges, giving recruiters a filter that means something and members a reason to demonstrate.

module

Events and conferences layer

Professional event listings, registration, and attendee networking under the same identity graph, connecting the network to the rooms where deals happen.

module

CRM and ATS integrations

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.

module

Four-eyes approval and escalations

Two-person approval on bans and an escalation tier above moderation, the governance depth regulated sectors and enterprise deployments ask for.

module

White-label network reseller

Deploy the network for associations, agencies, or sector bodies under their own brands, with per-tenant entitlement tiers and revenue configuration.

/22

Why operators pick our LinkedIn-style build

Ready-made speed with custom-build engineering discipline.

Network-Native

Connection graphs, introductions, and feed relevance are core architecture, not plugins bolted onto a directory.

Recruiter revenue first

The employer panel is designed as a paid product from day one, with seat management and usage analytics built in.

Full ownership

One hundred percent of the source code transfers to you. No per-seat royalties, no black-box dependencies.

Proof from platforms we have shipped

Canonical deployments from our own portfolio. Metrics are reported from live platforms, not projections.

Etihad Airways

A high-traffic consumer platform our team ships and operates at national-carrier scale, the same bar every build is held to.

1M+
Monthly Users
40%
Engagement Lift

PragPlay

A high-concurrency gaming platform from the same engineering system, proving the infrastructure holds under sustained load.

500K+
Players
99.9%
Uptime

LinkedIn clone FAQs

It depends on scope. The almost-ready AI build is the most economical path and is quoted as a fixed price after a short scoping call; custom recruiter tooling is estimated per sprint. Share your requirements and we will send a written quote.

Security and integrity

Tap a card to see how the network defends its members and its process.

flip

Outreach Runs on Credits

detail

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.

flip

Reports, Actions, and Appeals Are Separate Records

detail

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.

flip

The Hiring Pipeline Keeps Its State

detail

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.

flip

Entitlements Are Checked in Middleware

detail

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.

flip

Deletion Is a Real Pathway

detail

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.

flip

Dark Launches Before Rollouts

detail

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.

Frequently asked questions

Yes. The entitlement model ships with five tiers checked in middleware, covering free members through premium insights and recruiter or sales seats. Tier boundaries, pricing, and what each tier unlocks are admin-configurable, and payment failures take effect immediately rather than after a sync.

the process

What to expect from the build 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.

Live in action

See It Live Before You Talk to Us

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.

$ moxace launch --now

Build the professional network your industry lacks.

Demo, scope, and a fixed quote in one working session with the build team.

launch.sequence3 steps
  1. 01

    Share your idea

    a quick call, no deck required

  2. 02

    See the live demo

    every screen, admin to user

  3. 03

    Launch with source

    full code, your brand, your servers

Independent Build

Moxace is an independent software development company. We are not affiliated with, sponsored by, or endorsed by LinkedIn.

Why This Name

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.

Who Built This

The design and codebase are built entirely by our in-house team. Nothing is taken from the LinkedIn website, applications, or brand assets.

Trademarks

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.