SimpStackSimpStack
Stacked
Fan Platforms Legit 65/100

Stacked

Creator platform with 90% take-home on subs, PPV, and paid chat

A creator subscription platform that takes 10% (creators take home 90%), with subscriptions, pay-to-view, pay-to-chat, group chats and Discord role integrations. Coming soon: creator coins with 2.5% cash back on every purchase.

Stacked is a creator-subscription platform aimed squarely at the share-of-revenue question most creators actually care about. The core claim is explicit on the landing page: "Take home 90%" of earnings, a 10% platform cut, versus OnlyFans' 20% or Fansly's comparable range. That's the product's headline lever. Feature-wise it covers the creator-monetisation stack: subscriptions for exclusive content, pay-to-view content (PPV), pay-to-chat with fans, group chats for community building, Direct Support from the Stacked team and Discord role integrations. The Discord integration is notable because it's less common in this tier, most creator-subscription platforms treat community-chat as an afterthought. "Coming soon" includes creator token earnings and a 2.5% loyalty-rewards cash-back in creator coins from every purchase. The token mechanic is reminiscent of Friend.tech,style incentive layers, whether it actually drives retention depends on real-world pricing, but the architectural positioning is different from pure-subscription incumbents. Target audience is broad: "Whether you're an established creator or just getting started." For creators comparing net take-home on a six-figure income, the 10%-vs-20% platform cut on $100K/year is $10K of difference, which is why Stacked's revenue split is the first thing to check before dismissing a platform switch.

Built for: Content creators, adult performers, influencers

What you'll use it for

  • Monetizing exclusive content
  • Building fan communities
  • Selling digital content

Signals we picked up

  • Professional website
  • Clear business model
  • Operating in established industry

Discussed in these guides

Real pull-quotes from our guides. Editorial context, not algorithmic recommendations.

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