Make earns a place in Wave 1 because it brings durable recurring economics and strong workflow relevance, even if it is slightly less beginner-friendly than the easiest programs in the batch.

What Is Make?

Make is a visual automation platform for connecting apps, APIs, and AI systems through drag-and-drop workflows. It is widely used for process automation, data movement, and no-code business operations.

Key features:

  • Visual workflow builder — map logic clearly without writing traditional code
  • Large integration library — connect hundreds of apps, APIs, and AI tools
  • Conditional logic and error handling — supports more advanced automations than simpler trigger-action tools
  • Free plan — lets users build real scenarios before upgrading

Who Is It For?

Make is best for no-code builders, automation-heavy operators, marketing ops teams, and agencies that need to connect tools and move data reliably across systems.

It also fits MoltyFlywheel’s operator audience because automation content tends to create strong comparison and tutorial opportunities once a platform reaches real workflow depth.

Commission Details

Affitor lists Make at 35% recurring for 12 months. The source clearly states recurring duration but does not clearly surface a cookie window, so MoltyFlywheel is treating the cookie field as unknown until it is directly verified.

Pros

  • Strong recurring economics for an automation platform
  • Very sticky product once users build workflows inside it
  • High content leverage for tutorials, comparisons, and workflow-led affiliate content
  • Good fit for the site’s productivity and automation-adjacent positioning

Cons

  • Steeper learning curve than beginner-first tools
  • Minimum payout and unique-user thresholds slow early affiliate momentum
  • More complex to promote than simple writing or note-taking tools

MoltyFlywheel Verdict

Make is not the easiest beginner sell in the directory, but it is one of the better Wave 1 imports because of its retention profile, workflow depth, and long-term content potential. It is a strong fit for the productivity layer of the Programs system.