How much does it cost to build an app like Duolingo?
Estimated US development cost, the features and surfaces involved, the team and timeline it takes, the infrastructure it needs at scale, and what it costs to run once it is live.
A language learning app built around short exercises, immediate feedback and game mechanics — streaks, hearts, experience points and competitive leagues. Content is organised into progressive units, with speaking and listening exercises alongside written ones.
What this build involves
Gamified language learning- Features listed
- 36
- Sides served
- 3
- Industry
- Education
- Sensitivity
- 4/5
The calculator returns
It is not one app — it is 3
The most common reason a budget for something like this comes in low is counting one application when the product needs several, plus the shared platform underneath that nobody sees.
Applications people use — 3
Learner app
iOS · Android · Web
Language learners
Lessons, exercises, speaking practice, streaks, leagues and subscription management.
Course authoring tools
Web
Internal curriculum teams
Building and versioning courses across many language pairs, with audio production pipelines.
Experimentation platform
Web
Internal product and data teams
Continuous A/B testing on retention mechanics. In a product like this, it is core infrastructure.
Shared platform underneath — 9
Backend & API
The shared data model, business rules and the API every side reads and writes through. Built once, and the single largest line in almost every estimate.
Identity & permissions
Sign-in, sessions, second factors and a role model enforced on the server. Multi-sided products need one identity system that understands several kinds of user.
Payments & money movement
Charging, refunding, paying out, reconciling and surviving audit. Never just an SDK call — the ledger and the failure paths are the work.
Notification system
Templating, preferences, delivery across push, email and SMS, retries, and the suppression rules that stop a product becoming spam.
Media pipeline
Upload, transcode, storage, delivery and the CDN in front of it. Egress is usually the largest single running cost in a media product.
AI services & governance
Model access, retrieval over your own content, evaluation and guardrails. The governance half is the part that gets cut and then rebuilt after an incident.
Admin & operations console
Where your own staff fix what customers cannot: account issues, refunds, overrides, escalations. Consistently underbudgeted, and consistently the reason support costs balloon.
Analytics & reporting
Event instrumentation, a warehouse and the dashboards the business actually runs on. Retrofitting instrumentation costs several times what building it in does.
Infrastructure & delivery
Environments, pipelines, secrets, monitoring, alerting and on-call. The work that makes everything above deployable more than once a month.
What has to be built
Split by the phase each capability realistically lands in. The MVP column is priced as its own configuration above, so the split is a real costing decision rather than a diagram.
MVP features
12The smallest set that is still this product.
- Email & password sign-in
- Google & Apple sign-in
- User profiles
- Guided onboarding
- Courses & curriculum
- Lesson player
- Quizzes & assessment
- Progress tracking
- Streaks & gamification
- Push notifications
- Audio streaming & player
- Transactional email
Advanced features
13What a credible competitor is expected to have.
- Subscriptions & recurring billing
- Card payments
- Apple Pay & Google Pay
- Follows & connections
- Speech-to-text & voice
- Offline media download
- Multi-language support
- Accessibility (WCAG 2.2 AA)
- Recommendations
- Notification centre
- Product analytics instrumentation
- Promotions & discounts
- Certificates & credentials
Enterprise features
11Scale, governance and the work nobody demos.
- Advertising & monetisation
- Admin console
- Content management
- Feature flags & remote config
- Self-service report builder
- Data warehouse pipeline
- Text generation & summarisation
- AI evaluation & guardrails
- Content moderation
- Support tooling
- Audit logging
The same features, by who uses them
Customer experience
What the people you are building for actually touch.
- Email & password sign-in
- Google & Apple sign-in
- User profiles
- Guided onboarding
- Courses & curriculum
- Lesson player
- Quizzes & assessment
- Progress tracking
- Streaks & gamification
- Audio streaming & player
- Subscriptions & recurring billing
- Card payments
- Apple Pay & Google Pay
- Offline media download
- Promotions & discounts
- Certificates & credentials
- Advertising & monetisation
- Content management
- Content moderation
- Audit logging
Communication
How the product reaches people and how they reach each other.
- Push notifications
- Transactional email
- Notification centre
Operations & staff
The consoles your own team lives in. Rarely demoed, always needed.
- Follows & connections
- Admin console
- Support tooling
Data & intelligence
Reporting, analysis and anything model-driven.
- Speech-to-text & voice
- Recommendations
- Product analytics instrumentation
- Self-service report builder
- Data warehouse pipeline
- Text generation & summarisation
- AI evaluation & guardrails
Platform
The cross-cutting obligations — access, languages, configuration.
- Multi-language support
- Accessibility (WCAG 2.2 AA)
- Feature flags & remote config
Technology a build like this would use
Derived from the platforms and capabilities above.
These are typical choices for building a product of this shape today. They are derived from the platforms and capabilities described above — not a claim about what Duolingo actually runs on. We do not publish other companies’ internal technology, and you should be sceptical of anyone who does.
Mobile
- React Native or Flutter (one codebase)
- Swift / SwiftUI (native iOS)
- Kotlin / Jetpack Compose (native Android)
Two native codebases buy platform fidelity and cost roughly 66–70% more on the client than one shared codebase. Cross-platform is the default unless a specific capability forces native.
Web
- TypeScript
- React with Next.js
- Tailwind CSS or a component library
Server rendering matters here if the pages need to be indexed; if the web surface is an authenticated console only, it does not.
Backend
- Node.js / TypeScript
- Python (Django or FastAPI)
- Go or Java for throughput-critical services
Language choice matters far less than team familiarity. A modular monolith is the right default until traffic or team size forces separation.
Data
- PostgreSQL (primary transactional store)
- Redis (cache, sessions, queues)
- Snowflake or BigQuery (analytics warehouse)
One relational database plus a cache covers more products than teams expect. Add a specialist store when a real query pattern demands it, not in anticipation.
Cloud & delivery
- AWS, Google Cloud or Azure
- Containers on a managed orchestrator
- Terraform or equivalent for infrastructure as code
- GitHub Actions or similar for CI/CD
The architecture tier this product needs is driven by traffic, not preference — see the scale section below.
Payments
- Stripe, Adyen or Braintree
- Apple Pay and Google Pay via the platform SDKs
- Reconciliation against processor settlement reports
Using a processor keeps card data out of your systems and shrinks PCI scope dramatically. It does not remove the need for your own reconciliation.
Messaging & notifications
- APNs and FCM for push, usually via a delivery service
- Twilio for SMS and voice
- SES, SendGrid or Resend for email
Deliverability is an operational discipline: warm-up, domain authentication, bounce handling and suppression lists. It is not solved by picking a vendor.
AI
- A hosted model provider (Anthropic, OpenAI) or Bedrock
- Prompt and context management
- Evaluation harness and output guardrails
Token cost scales with usage, so unit economics need modelling before launch. The evaluation and guardrail layer is what separates a demo from a product.
Observability
- Sentry for errors
- Datadog, Grafana or an equivalent for metrics and traces
- Structured logging with retention matched to your compliance regime
Instrumentation is cheapest when added during the build. Retrofitting it after the first production incident costs several times more.
How an app like Duolingo works
The learning content is only half the product; the retention machinery is the other half. Streaks, leagues, notifications and reward loops are engineered systems with their own data models and experimentation infrastructure, and they are why people return. Meanwhile the exercise engine must support many exercise types across dozens of language pairs, with speech recognition and audio for each — a content production and localisation problem as much as a software one.
In costing terms that shape matters more than the feature count. A learning & content in education inherits obligations before anyone designs a screen — this sector rates 4 out of 5 for regulatory and procurement difficulty on this site, and that rating is what drives the security posture, the audit work and the integration surface any estimate has to carry.
MVP versus the full product
A first version of this is a materially smaller build than the mature product, and the calculator will show you by how much. It gets there by shipping fewer features, on fewer surfaces, at a launch-sized audience rather than the traffic the mature product carries.
What it does not cut is compliance. A regulated product is regulated from its first user, so the primary regime stays in the MVP even though almost everything else is deferred. Teams that defer it discover that retrofitting audit logging, access control and data retention costs several times what building them in would have.
Monetisation
How products of this shape make money
- Freemium with an ad-supported free tier
- Subscription removing ads and limits
- Family plans
- Language proficiency testing
Generic to the category, not a description of Duolingo’s commercial arrangements.
What these numbers are, and are not
This page carries no figures deliberately. What it sets out is the shape of the build — the sides, the tiers, the stack, the compliance — because that is what an estimate is derived from and what you can check. The calculator turns your own version of that shape into a planning estimate with a stated confidence band; use it to decide the order of magnitude, then spend two to four weeks on a technical specification and get a real quote against that document.
Nothing here is a statement about Duolingo as a company. We do not know and do not publish what any business spent building its product, what it earns, how many people it employs, or what technology it runs on. What we describe is the product shape any user can observe — the surfaces it presents, the roles it serves, the capabilities it evidently has — and what building that shape would cost in the United States today.
Building an app like Duolingo, answered
How much does it cost to build an app like Duolingo?
There is no one figure, because "an app like Duolingo" covers three very different builds: a first version with only the essential features, a complete and credible competitor, and a rebuild of everything the mature product does at the traffic it carries. Those are several-fold apart. What this page gives you is the shape of each — the sides, the feature tiers, the stack and the compliance — and the calculator turns whichever one you actually mean into a cost range, hours and a timeline.
Why is an app like Duolingo more expensive than a typical app?
Because it is not one app. It is 3 separate applications — learner app, course authoring tools, experimentation platform — sharing one backend, each with its own design, release cycle and test matrix. Most quotes that come in low have counted one of them. Retention mechanics are real engineering: Streaks, leagues, hearts and reward loops need consistent state across devices and time zones, integrity against manipulation, and constant experimentation. They are not UI polish; they are the product's core systems.
Could I build a cheaper version first?
Yes, and you should. A first version ships the essential feature tier rather than all three, on fewer surfaces, at a launch-sized audience — materially less than the full product, and the calculator will show you by how much. What it does not cut is compliance: education obligations apply from the first user, so those stay in whatever else is deferred.
How long would it take to build?
It depends on the same three things the cost does — which tier of the product you mean, how many surfaces you ship, and how settled the scope is. The calculator returns a timeline alongside the cost, derived the same way: hours divided across a realistic team shape, never a target date worked backwards from.
What does it cost to run once it is live?
Cloud infrastructure, third-party services and annual maintenance, and the calculator reports all three separately from the build. They are kept out of the build figure deliberately: they are operating expenditure rather than capital, and adding the two together produces a number that means nothing. Maintenance in particular is not optional — an app that receives none stops working within about a year as OS releases and SDK deprecations accumulate.
Are these real figures for Duolingo?
This page carries no figures at all, and nobody outside the company has real ones. What it describes is the product SHAPE, observed from what any user can see — the sides, the feature tiers, the stack, the compliance. Nothing here describes what Duolingo actually spent, earns, employs or runs on. The calculator prices building something of that shape today, for the United States market, at our own blended delivery rate.
Do we need FERPA and COPPA compliance?
FERPA applies if you handle student education records on behalf of a US school. COPPA applies if any user is under 13, and it is the more consequential of the two: it requires verifiable parental consent and restricts data collection and advertising outright, which changes your product and business model rather than adding a checkbox. Determine which applies before you design signup, because retrofitting consent flows is expensive and sometimes requires re-onboarding your existing users.
How accurate is this estimate?
It is a planning estimate, not a quote. The band shown is roughly plus or minus 15–20% for a well-defined scope, and wider while requirements are still moving. It is built from engineering hours per discipline, converted at our blended delivery rate, so the hours are directly comparable to a real proposal line by line — but a firm price needs a technical specification, which is the step after budgeting.
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Products with a comparable shape. Each has its own breakdown.
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