What is Hypertune?

Hypertune lets you make your code configurable to let teammates like PMs and marketers quickly change features flags, in-app and landing page content, pricing plans and more.
Watch the 5 minute demo below for a quick introduction.
The 5 minute demo

How it works

1) Define your schema

Write a configuration schema in GraphQL to define what parts of your code are configurable.
Use Boolean for feature flags, Int for limits, timeouts, etc, String for in-product copy, Enum for multivariate flags and custom types for more complex configuration.

2) Define your logic

Define your configuration logic with our visual, functional programming language that has A/B testing, event logging and machine learning built in.
Set up feature flag targeting, optimize prices and limits, translate and personalize copy, and manage complex content.

3) Generate code with the SDK

Install the TypeScript SDK and write a GraphQL query so it initializes with just the configuration logic you need.
Run npx hypertune to auto-generate type-safe methods you can call from any code on your frontend or backend.
Get code completion in your IDE, prevent runtime errors due to flag typos and easily find all references of flags in your codebase.
Optionally embed a build-time snapshot of your configuration logic for guaranteed, instant SDK initialization with no network latency.

4) Share with your team

Share a link to your flag with your nontechnical colleagues so they can see how it's configured and update it themselves.
Update configuration logic instantly without a code update, build, deployment, app release or service restart.

Use cases

  • Type-safe feature flags
  • In-app content management
  • Landing page optimization
  • Pricing plans
  • Rules and limits
  • Magic numbers
  • Backend configuration
  • Any other kind of code configuration

Why make your code configurable

  • Update configuration logic instantly without a code update, build, deployment, app release or service restart
  • Empower business users to update and optimize your product themselves, saving developers time
  • Optimize configuration with A/B testing and machine learning
  • Unify configuration logic across different codebases into a single source of truth
  • Make your code cleaner, smaller and more flexible
  • Reduce engineering complexity by separating the concerns of code and configuration

Get started