Social media · United States · USD
Cost to build an app like LinkedIn
A LinkedIn-like app is a search and graph product wearing a social skin. People come to find someone, something or a job, so relevance quality is the product. The feed matters less than most teams assume; the search index and the connection graph matter far more.
What you are actually building
An app like LinkedIn is three or four screens people recognise sitting on a great deal of engineering they never see. These are the screens that define the shape — and the part of each one that costs real money.
The feed
Fan-out, pagination, caching and read state. A feed still fast past a few thousand follows is a backend problem, not a UI one.
Media upload
Client-side compression, resumable uploads, transcode, thumbnails and a CDN. The upload path fails in more ways than any other screen.
Moderation
Reporting, review queues, automated classification and appeals. Not optional the moment strangers can post to each other.
Price your own version
The calculator below is preloaded with the LinkedIn template — its features, architecture and a planning scale for year one. Remove what you do not need, add what you do, and the estimate follows.
Building an app like LinkedIn
A starting template, not a specification. Every feature, number and technology choice below is yours to change.
Reference template
A LinkedIn-like app is a search and graph product wearing a social skin. People come to find someone, something or a job, so relevance quality is the product. The feed matters less than most teams assume; the search index and the connection graph matter far more.
- Preloaded features
- 13
- Category
- Social media
The feed
Fan-out, pagination, caching and read state. A feed still fast past a few thousand follows is a backend problem, not a UI one.
Media upload
Client-side compression, resumable uploads, transcode, thumbnails and a CDN. The upload path fails in more ways than any other screen.
Moderation
Reporting, review queues, automated classification and appeals. Not optional the moment strangers can post to each other.
What makes a LinkedIn-like app expensive
Three things dominate this shape of product. Everything else is comparatively ordinary app development.
Search relevance
People, companies and jobs each need their own ranking model, filters and synonym handling. Tuning is continuous work, not a one-off task.
The connection graph
Degrees of separation, mutual connections and "people you may know" are graph traversals that get expensive quickly at scale.
Two revenue surfaces
Recruiter tooling and premium subscriptions are effectively separate B2B products with their own permissions, billing and admin.
Cost breakdown for the default template
Before you change anything. Costed at the midpoint of a $118–$155/hr blended US rate.
Features in a LinkedIn-like app
The starting list, longest build first — each bar is that feature’s share of the biggest one, so you can see where the hours actually go. Every row is a checkbox in the calculator above: this is a template, not a specification.
Core features (11)
630h totalAdvanced features (2)
283h totalIntegrations (5)
- Stripe
- SendGrid / Resend (email)
- AWS
- Amplitude / Mixpanel
- Sentry / Datadog (monitoring)
How long, and who builds it
The $564,000–$921,000 figure assumes this schedule and this team. Both scale with the answers in the calculator above — and neither is a quote.
Delivery timeline — 7–11 months
- Discovery & product definition3–5 wks
- UI/UX design5–7 wks
- Development (app + backend)17–24 wks
- Integrations & infrastructure4–6 wks
- QA & security testing4–6 wks
- Store submission & launch2–3 wks
The team — 7 people
- Product manager1×
- UI/UX designer1×
- Mobile developer1×
- Backend developer1×
- DevOps / SRE1×½
- QA engineer1×
- Data / ML engineer1×
The phases add to more than the total on purpose: design starts before discovery finishes and QA runs alongside development rather than after it. 7 people is about 6.5 full-time equivalents — a smaller team takes proportionally longer, and a much larger one does not go proportionally faster. The two roles most often missing from a first plan are DevOps and QA, which together are 16% of this build.
Technology considerations
A stack that would serve this product shape well. A recommendation for what you could build — not a claim about what LinkedIn runs.
| Layer | Suggestion |
|---|---|
| Mobile | React Native or native, depending on how much of the product is feed versus messaging |
| Backend | Java or Node.js services, with the graph isolated behind its own API |
| Database | PostgreSQL plus a graph-capable store for connection traversal |
| Cache | Redis for feed and profile reads |
| Search | OpenSearch with heavy relevance tuning across people, jobs and companies |
| Real-time | WebSocket for messaging and notifications |
| Cloud | AWS or Azure |
| CDN | CloudFront |
| Monitoring | Datadog with search-relevance and messaging-delivery dashboards |
| ML serving | A managed inference endpoint (SageMaker, Vertex AI) with an offline evaluation pipeline |
Top cost drivers
- 1
Medium scale traffic and usage20% of the build
Caching, queues and real monitoring become mandatory. That is real engineering: caching layer (redis or equivalent) in front of hot reads; background job queue for anything slower than a request; read replicas and query-level database tuning. Lower your year-one traffic assumptions and this shrinks immediately.
- 2
Advanced backend architecture12% of the build
Needed when traffic is high enough, or spiky enough, that a single service cannot absorb it and a slow endpoint takes the whole product down with it.
- 3
5 third-party integrations5% of the build
Every external service is code you write, failure modes you handle and an API that will change without asking you. The ones you can defer are the cheapest scope cuts available.
- 4
COPPA compliance work3% of the build
Engineering and evidence work to make an audit survivable. Certification fees, legal review and auditor time are separate costs that this estimate excludes.
- 5
React Native2% of the build
A shared codebase covers both stores, with native work still required around hardware, payments and background processing.
Infrastructure and maintenance
Neither of these is part of the build figure, and neither of them stops.
Cloud infrastructure
$1K – $11K/month
- Baseline environment$120–$420
- Application compute$675–$2,400
- Database$27–$108
- Object storage$105–$130
- CDN & bandwidth$8–$19
- Caching layer$60–$700
Annual maintenance
$85K – $230K/year
15–25% of build cost per year: bug fixes, iOS and Android version updates, SDK and dependency upgrades, security patching and small improvements. Cloud costs are the separate figure alongside.
Building an app like LinkedIn — common questions
How much does it cost to build an app like LinkedIn?
Using this site's default profile — 13 features, react native, a advanced backend and medium scale traffic — the estimate is $564,000 to $921,000 for a US team, or roughly 5,308 engineering hours at a blended $118–$155 per hour. That figure covers design, both apps, backend, infrastructure, integrations, security, QA, DevOps and project management. It excludes cloud hosting, vendor fees, marketing and legal. Change any answer in the calculator on this page and the number moves with it.
How long does it take to build an app like LinkedIn?
About 7–11 months with the team this estimate assumes — 7 people, roughly 6.5 full-time equivalents. Discovery and design run first and partly in parallel, development takes about half the calendar, and QA overlaps the back half rather than following it. A smaller team takes proportionally longer; a much larger one does not go proportionally faster, which is why compressing this schedule costs more than it saves below a certain point.
What team do you need to build an app like LinkedIn?
1× product manager, 1× ui/ux designer, 1× mobile developer, 1× backend developer, 1× devops / sre (part-time), 1× qa engineer, 1× data / ml engineer. That is what 5,308 hours of work distributed across 10 disciplines actually requires. The roles people most often leave out of their own plan are DevOps and QA, which together are about 16% of this build.
What does an app like LinkedIn cost to run each month?
Cloud infrastructure is estimated at $1,475 to $10,927 per month at the scale this profile assumes, driven mainly by compute and database. Third-party services add $100 to $5,000. Separately, budget $85,000 to $230,000 a year for maintenance — bug fixes, OS and SDK updates and security patching. None of these are part of the build figure.
What is the hardest part of a professional network?
Cold start. Search and matching only work with a populated graph, so the first version needs a plan for supply — usually a narrow industry or geography — that engineering cannot solve on its own.
Do I need a jobs board in version one?
If jobs are the reason people show up, yes, and it adds roughly 500–800 hours for posting, application tracking and employer tooling. If networking is the reason, defer it.