Health, home and travel decision

Freeletics

A capable developer can build a useful pared-down Freeletics-style planner and tracker in a week and keep it running cheaply, but they won't reproduce Freeletics' proprietary session data, massive scale, sports-science curation, or brand advantage—so building makes sense for a smaller scope but paying remains rational for a full-featured experience.

Visit website
You pay

$11.99/mo

$144/yr

Not verified against a pricing page.

You’d pay instead

$50one-off30 h to build

$50/mo10 h/mo upkeep

On cash alone, building overtakes the subscription at 5 seats.

No open-source build does this yet

Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.

What a replacement has to do

  • Generate a personalized multi-week strength workout plan from user inputs, present daily sessions, collect user feedback/results, and adapt future sessions based on that feedback.

What it still won’t have

  • Large proprietary dataset of millions of completed sessions and in-app behavior
  • Scale, polished mobile apps and app-store presences
  • Sports-science team-curated training methodology and ongoing updates
  • Brand trust and large active user base/community
  • Advanced personalization derived from long-term user history and A/B testing at scale

What remains hard

  • Proprietary data450 million TRAINING SESSIONS COMPLETED
  • Proprietary data4 trillion IN-APP WORKOUT COMBINATIONS
  • Brand trustDigital fitness coaching trusted by 60 million users
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 5 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal web-based AI-assisted strength-training coach using: Next.js frontend, PostgreSQL, Node.js/Express API, S3-compatible storage for media, and an LLM API (OpenAI). Scope: user sign-up and profile (goals, equipment, availability), exercise metadata + media gallery, rule-based workout-plan generator (multi-week periodization), daily session UI that records results and feedback, adaptation engine that updates the plan based on recent feedback, and a progress dashboard. Out of scope: mobile native apps, social features, payment billing, and large-scale telemetry. Include input validation, error handling, and unit/integration tests for API endpoints.
How we checked2 sources · 2/3 runs agreed · evidence score 50

How the score was reached

  • Partly verdict base52
  • 2 cited sources+1
  • Hard moats found in the evidence-3
  • Evidence score50

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 2

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

! Price not confirmed on the page - this pricing page renders its price in the browser! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 3 moats quoted from the page