Build your own LinkedIn.
A complete AI build prompt for a professional network with connections, a feed, and private job applications. Your own code, identity, and workflow.
What your LinkedIn-inspired app will do
Build an original professional community called Peerwork, inspired by LinkedIn. A focused group creates professional profiles, forms mutual connections, shares updates, and applies to original jobs posted by approved organizations. Start with one professional niche and clearly separated profile, employer, and moderator permissions.
- Profiles and organizations: maintain experience, skills, portfolio links, and approved organization pages. Give users visibility controls and let only verified organization members edit its information or jobs.
- Connections: send, accept, decline, withdraw, and remove connection requests with a unique pair state. Blocked users cannot find private profiles, re-request, or contact the blocker.
- Professional feed: publish text and bounded original images, show updates from connections/followed organizations, add comments/reactions, and paginate chronologically with real counts.
- Jobs and applications: publish original role listings with state and deadline, save jobs, apply once with a private profile snapshot and permitted resume, and let authorized hiring members update application status.
- Search and moderation: search visible people/jobs, report abusive or fraudulent content, remove posts/listings, and export or delete your own data. Job applications must not become publicly searchable activity.
Is a DIY LinkedIn alternative right for you?
Choose this brief when professional identity, mutual connections, and jobs are central. The Facebook-style brief focuses on broader social groups.
A useful first project: A small professional niche sharing work and original opportunities with a bounded hiring workflow.
Start with a smaller version
Create an organization, publish a job, connect two members, and submit one application. Verify that a non-hiring member cannot view its resume or private status.
Know the tradeoffs
Profile visibility, organization roles, and applicant privacy require consistent backend permissions and search behavior. Automated recruiting judgments are outside the project.
Understand the build-vs-buy tradeoffsBuilding your own LinkedIn: useful answers
Is this a ready-to-use LinkedIn alternative?
This page provides a customizable build brief for a professional network with connections, a feed, and private job applications. It is not a hosted app. Your AI coding agent implements the software; you then need to test, run, and maintain it.
Can I customize the LinkedIn clone prompt?
Yes. Choose Product & audience, Design, Features, Tech stack, or Data & behavior in the editor. Save and copy the complete assembled prompt, or download it as Markdown. Edits are saved in this browser.
What does the starting version leave out?
Test crossed connection requests, blocked-profile search, unauthorized company edits, duplicate applications, closed jobs, private resume downloads, and profile deletion. Exclude scraping LinkedIn, automated outreach, paid recruiting systems, background checks, and algorithmic hiring or eligibility decisions.
Original software. Familiar inspiration.
Use your own brand, code, layout, and assets. Clone4.me is independent and is not affiliated with LinkedIn. Read our approach.
Curated by Clone4.me · AI-assisted build briefs · Scope reviewed October 15, 2026
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The complete LinkedIn clone prompt
# Build an original app inspired by LinkedIn
You are an experienced product designer and full-stack engineer. Build a working, polished MVP from the brief below. Implement the core journeys end to end; a static mockup is not sufficient. Inspect the current environment, make sensible implementation decisions, and get started. Ask a question only if a missing answer genuinely blocks implementation.
Starting platform: Web. Explicit customized Product & audience and Tech stack requirements take precedence over this starting target.
## Product & audience
Build an original professional community called Peerwork, inspired by LinkedIn. A focused group creates professional profiles, forms mutual connections, shares updates, and applies to original jobs posted by approved organizations. Start with one professional niche and clearly separated profile, employer, and moderator permissions.
## Design
Use an original professional layout with a concise feed, profile sections, connection invitations, organization pages, and a readable job detail/application view. Make profile visibility and application privacy explicit. Avoid fake activity counts, scraped headshots, or implied endorsements.
## Features
1. Profiles and organizations: maintain experience, skills, portfolio links, and approved organization pages. Give users visibility controls and let only verified organization members edit its information or jobs.
2. Connections: send, accept, decline, withdraw, and remove connection requests with a unique pair state. Blocked users cannot find private profiles, re-request, or contact the blocker.
3. Professional feed: publish text and bounded original images, show updates from connections/followed organizations, add comments/reactions, and paginate chronologically with real counts.
4. Jobs and applications: publish original role listings with state and deadline, save jobs, apply once with a private profile snapshot and permitted resume, and let authorized hiring members update application status.
5. Search and moderation: search visible people/jobs, report abusive or fraudulent content, remove posts/listings, and export or delete your own data. Job applications must not become publicly searchable activity.
## Tech stack
Use a TypeScript frontend, Python/Django API, PostgreSQL, and private object storage for resumes. Enforce organization and applicant permissions at the query layer, maintain transactional connection state, and keep search indexes consistent with visibility changes.
## Data & behavior
User; Profile {visibility}; Experience; Skill; Organization; OrganizationRole; Connection {canonicalPair, state}; Post; Reaction; Comment; Job {organizationId, state, deadline}; Application {applicantId, jobId, profileSnapshot, resumeKey, state}; Block; Report.
Acceptance checks and scope:
Test crossed connection requests, blocked-profile search, unauthorized company edits, duplicate applications, closed jobs, private resume downloads, and profile deletion. Exclude scraping LinkedIn, automated outreach, paid recruiting systems, background checks, and algorithmic hiring or eligibility decisions.
## Originality and assets
The named product is a reference for general workflows only. Use an original product name, visual identity, wording, layout, and assets. Do not copy proprietary code, branded logos, distinctive screens, private APIs, paid templates, or protected media. Use original or appropriately licensed sample data and assets. Build from this brief rather than scraping the reference service. Do not imply affiliation with the referenced company.
## Implementation quality
- Make every visible control work, with clear loading, success, empty, validation, and failure states. Remove controls for unimplemented features.
- Support the target platform and responsive or resizable layouts where appropriate. Use platform-appropriate accessibility semantics, labels, keyboard operation, visible focus, sufficient contrast, and reduced-motion preferences. Provide alternatives for drag-only interactions.
- Validate inputs at the relevant boundary. Treat imported or user-generated content as untrusted; render it safely. Confirm destructive actions or offer undo.
- Keep state changes reliable across navigation and reloads. Never silently lose edits. Handle persistence and network errors with an actionable message.
- Keep the scope realistic. Prioritize the complete primary journey. If a custom Features section differs from the baseline, update the data model, design, and acceptance checks to match it; explicit custom requirements take precedence over baseline assumptions.
- Provide realistic original sample content and a useful empty state. Keep sample data clearly separate from user-created data.
## Delivery and verification
1. Inspect the repository and outline the implementation in a few sentences.
2. Implement the app and connect its actual data flow. Continue until the primary journey works.
3. Run appropriate checks and test the acceptance cases above on the target platform. Verify responsive layouts and keyboard navigation when browser tools are available. For native projects, build with the available SDK and test an emulator or device when possible; report any missing native verification honestly. For games, verify the rules and gameplay loop, not only the menus.
4. Fix observed failures, then provide the runnable result, setup/run instructions, a brief explanation of what is implemented, and any specific configuration or verification limits.
This is a focused MVP. Do not add billing, AI services, or unrelated features unless explicitly requested in the brief. Start building now.
Change just what matters. Customize a section and keep the rest of the brief included.