"An app like Strava" is three different budgets depending on which part of Strava you mean. The GPS recorder is a well-understood engineering problem. The segment leaderboards are a data problem. The reason people open it is a network problem, and no build budget solves that one.
This page tears down three named apps into the components you would actually have to build, prices a credible version one of each using our published prices, and is explicit about the parts that a cheque cannot buy. If you are earlier than this and still deciding what to build, start with how to build a fitness app.
Why "an app like X" is the wrong unit of estimation
Every mature fitness app is three layers, and only one of them is a build cost.
The mechanism. The thing the app does when you press the button. Recording a run. Logging a meal. Generating tomorrow's session. This is engineering, it is estimable, and it is usually the cheapest of the three.
The corpus. The data or content the mechanism runs on. A food database. A segment library. An exercise library with media. This is licensing, content production or years of user contribution. It is often more expensive than the mechanism and is almost never in a competitor's estimate.
The network. The reason a user opens it rather than the alternative. Friends, history, streaks, habit. This cannot be purchased and does not appear in any quote. It is bought with distribution, time, and being genuinely better at one thing.
When someone quotes you a Strava clone, ask which layers the number covers. It is nearly always layer one.
Strava: a GPS engine with a social graph bolted to it
What it is made of, observably: continuous background GPS recording with autopause, route maps and elevation, segment matching against recorded routes with leaderboards, a social feed with follows and kudos, clubs, challenges, wearable and device imports from a long list of platforms, and a subscription tier gating parts of the analysis and segment features.
What is hard about it, in order:
- Continuous background location. Not the API call. The battery budget. A run tracker that leaves a user with a nearly-flat phone after a long ride gets deleted, and getting the drain down to something users tolerate is weeks of tuning against real devices, not an afternoon with a location manager.
- GPS smoothing and autopause. Raw location data is noisy. Distance computed naively from raw points is wrong, and users compare your distance against a watch they already trust. Getting agreement with a Garmin is a specific, unglamorous engineering goal.
- Segment matching. Deciding that this recorded track counts as an attempt on that segment is geospatial matching at scale, plus anti-cheat, plus the flagging system you need the moment a leaderboard has a prize on it.
- Device imports. Strava's value depends on accepting data from everything. Each platform is its own integration with its own auth, rate limits and edge cases, which is why we price them at $3,500 per platform.
- The feed. Trivial to build, expensive to run. Moderation, blocking, reporting and privacy for location data are the actual work. Publishing where someone runs every morning is a safety feature, not a display feature.
A credible version one: activity recording, maps, history, one or two device imports, a follow graph and a simple feed. That is an MVP build starting at $12,000, plus $3,500 per wearable platform, and realistically it sits in the full custom band from $25,000 once the GPS tuning and the moderation surface are done properly rather than demoed.
What that does not buy: the segment corpus. Strava's segments exist because a decade of users rode and ran them. You can generate segments from your own users' activity, which means your leaderboards are empty until you have activity, which is the network problem again.
MyFitnessPal: a search problem disguised as a food diary
What it is made of, observably: a very large food database with user-contributed entries, barcode scanning, macro and calorie targets, recipe import and custom foods, exercise logging, and a subscription tier gating parts of the analysis and planning.
What is hard about it, in order:
- The database. This is the whole product and it is not an engineering line item. You either license a nutrition database or you build a contribution system and moderate it. Licensing has per-call costs, attribution requirements and terms that shape your UI, so the commercial negotiation has to happen before the design, not after.
- Search relevance. A user types "chicken" and expects their chicken. A tracker that cannot find someone's regular breakfast in under five seconds is uninstalled the same week. Relevance tuning on food data is a real, ongoing job.
- Portion and recipe maths. Custom foods, recipes containing recipes, serving conversions, per-100g versus per-serving. This is where the bugs live and where users lose trust, because a wrong macro total is visibly wrong.
- Logging friction. The competitive axis is seconds-per-entry. Barcode scanning, recent foods, meal copying and quick-add exist because every extra tap costs you a retained user.
A credible version one: database integration, search, barcode scanning, macro targets, custom foods and history. From $12,000 as an MVP build, on top of whatever the database licence costs.
What that does not buy: the user-contributed corpus, or the decade of habit that makes people log breakfast without thinking about it.
The honest note: calorie tracking as a standalone product is one of the hardest categories in consumer fitness. The incumbents are free at the point of use, the switching cost is a user's entire logged history, and the differentiator has to be something other than "the same thing, nicer." If your plan is a better MyFitnessPal, the plan needs a sentence explaining why someone abandons three years of data.
Fitbod: a small app with an expensive brain
What it is made of, observably: a workout generator that produces each session based on your history and recovery state, muscle-group recovery visualisation, an exercise library with demonstrations, equipment-aware substitutions, logging with weight recommendations, and a subscription.
What is hard about it, in order:
- The generation engine. This is the product. Everything else is packaging. The rules that decide today's session, progress the load, rotate the stimulus and handle a missed week are the intellectual property, and they need a strength coach in the room, not just engineers.
- The recovery model. Representing muscle-group fatigue in a way that is both defensible and legible to a user is a modelling problem with no single right answer. It also has to be honest: presenting a model as if it measures something it infers is where health apps get into trouble.
- Equipment awareness. "You are in a hotel gym with dumbbells only" has to produce a coherent session, not a session with holes. Substitution logic is deceptively deep.
- The exercise library. Consistent, well-shot demonstrations for hundreds of movements is a content production budget, not a development budget.
A credible version one: generation engine, logging, exercise library, recovery display, paywall. From $12,000 for the software as an MVP build, and the honest add is content production plus coaching expertise on top.
What that does not buy: the programming knowledge. Fitbod's engine is a coaching philosophy expressed in code. If you do not have that philosophy, you are building a random workout generator, and users detect it within two weeks.
Side by side
| Strava-like | MyFitnessPal-like | Fitbod-like | |
|---|---|---|---|
| Hardest layer | GPS accuracy + battery | Database + search relevance | Generation and progression logic |
| Corpus you must acquire | Segments (user-generated) | Nutrition database (licensed) | Exercise library (produced) |
| Non-software cost | Map tiles, ongoing | Database licence, ongoing | Video/photo production, one-off |
| Wearable dependency | High | Low | Medium |
| Version-one software | from $25,000 | from $12,000 | from $12,000 |
| Wearables | $3,500 per platform | $3,500 per platform | $3,500 per platform |
| The part money cannot buy | The social graph | Users' logged history | Coaching credibility |
All prices are Zee Palm published prices; the full list is on the pricing page. If your product is a narrower version of one of these three rather than the whole thing, the app cost calculator is the faster way to see what dropping the social layer, the second platform or four of the six wearables actually does to the number. Note what the table says about the cheapest option: the Fitbod-shaped product has the smallest software surface and the highest requirement for genuine domain expertise. That is usually good news for a founder who is a coach and bad news for one who is not.
The three things a clone budget never includes
Content and data acquisition. Exercise demonstrations, nutrition data, program libraries. Budget for this separately, and get the licensing terms before the design starts.
Ongoing platform costs. Map tiles, nutrition API calls, video encoding and delivery, model inference. These scale with users and they never stop. A build price is a one-off; these are a P&L line.
Maintenance. iOS and Android ship breaking changes annually, health platforms evolve, store policies move. Our app maintenance starts at $1,000/mo, QA from $799/mo. An app without a maintenance line is an app that will be broken in eighteen months.
What we would actually recommend
Do not build any of the three. Build the narrow version of one of them for an audience the incumbent serves badly.
The incumbents are general-purpose because generality is how they got large. Generality is also their weakness: a rehab patient, a masters-category cyclist, a postpartum lifter and a client of your specific gym all get a slightly wrong experience from the general app. A version one that is unambiguously correct for one of those groups needs a fraction of the features, competes on a dimension the incumbent will not chase, and can be built inside the $12,000 MVP band.
That also changes what you buy first. Before commissioning a build, a five-day planning sprint at $1,500 produces the scope, architecture options and a real estimate, credited in full toward the build. It is the cheapest way to find out that your Strava clone is really a coaching platform with a map in it.
If you know which of the three shapes you are, tell us the audience and the differentiator and we will come back with a package, a price and a date.
Frequently asked questions
How much does it cost to build an app like Strava?
A credible version one with activity recording, maps, history, a follow graph and one or two device imports sits in the full custom band, from $25,000, plus $3,500 per wearable platform. A stripped-back recorder without the social layer can start from $12,000 as an MVP build. Neither number includes map tile costs, which are recurring.
How much does it cost to build an app like MyFitnessPal?
From $12,000 for the software: database integration, search, barcode scanning, macro targets, custom foods and history. The nutrition database itself is licensed separately and priced by the vendor, and it is the decision that shapes the product, so settle it before design.
How much does it cost to build an app like Fitbod?
From $12,000 for the software. The real cost is the generation and progression logic, which requires strength-coaching expertise, and the exercise media library, which is a content production budget rather than an engineering one.
Can I build a Strava clone cheaply?
You can build the recording and mapping cheaply. You cannot cheaply build the segment corpus, the social graph or the trust in the distance number, and those are the reasons people use Strava. A cheap clone is a functioning app nobody opens twice.
Do I need wearable integrations to compete with these apps?
For a Strava-shaped product, yes: users expect data from the watch they already own to appear. For nutrition and strength products it is often optional at launch. We price each platform at $3,500 and generally recommend building only the one your target users actually wear. The wearable integrations page explains why it is per platform.
What is the cheapest way to test the idea before spending $12,000?
A clickable or coded prototype on synthetic data, from $3,500, or a $1,500 planning sprint that gives you scope, architecture and an estimate you can take to any studio. Both are designed to stop you buying the wrong version one, which is a far more expensive mistake than either.