Can I use this to optimize an existing app's pricing?

Absolutely. It is specifically designed to analyze existing repositories to identify 'hidden' feature costs and recommend more profitable tier structures.

Does it generate the code for pricing tiers?

Yes, it provides production-ready implementation patterns for feature gating, subscription state management, and Stripe checkout flows.

How does it calculate service costs?

It scans your codebase for configuration files, cloud SDK dependencies, and API usage (such as OpenAI or AWS) to estimate per-user fixed and variable costs.

Can this skill help me choose between Stripe and Paddle?

Yes, Revenue Optimizer provides a comparison of payment providers based on your business needs, considering factors like tax compliance, global reach, and integration complexity.

Revenue Optimizer

Name: Revenue Optimizer
Author: acaprino

byacaprino

E-commerce Solutions

Analyzes codebases to calculate service costs, model usage patterns, and implement optimized pricing strategies and payment systems.

About

Revenue Optimizer is a comprehensive monetization assistant designed to turn software projects into profitable products. It scans your repository to discover features, calculates exact costs for services like OpenAI or AWS, and models user consumption patterns to suggest data-driven pricing tiers. Whether you are setting up Stripe subscriptions, performing break-even analysis, or optimizing checkout flows for higher conversion, this skill provides the financial insights and implementation patterns needed to maximize margins and scale recurring revenue.

Key Features

0 GitHub stars
Feature gating and entitlement logic generation for SaaS applications
Automated feature discovery and cost mapping across cloud services
Data-driven pricing tier design based on usage percentiles
Full-stack subscription and payment system implementation for Stripe and Paddle
Detailed revenue modeling including ARPU, LTV, and Churn projections

Use Cases

Setting usage limits for a free tier to ensure sustainable profit margins
Implementing multi-tier subscription billing with Stripe integration
Determining the break-even price point for an AI-powered SaaS application

About

Key Features

0 GitHub stars
Feature gating and entitlement logic generation for SaaS applications
Automated feature discovery and cost mapping across cloud services
Data-driven pricing tier design based on usage percentiles
Full-stack subscription and payment system implementation for Stripe and Paddle
Detailed revenue modeling including ARPU, LTV, and Churn projections

Use Cases

Setting usage limits for a free tier to ensure sustainable profit margins
Implementing multi-tier subscription billing with Stripe integration
Determining the break-even price point for an AI-powered SaaS application