Video summary

This is How I Code To Make Money

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Key takeaways

Business

Summary (business-focused)

The video presents a personal “framework” for turning API code into recurring revenue by moving through: idea → API build → deployment → marketplace/standalone SaaS marketing → sales. The speaker claims the approach generated $6,000 in one month and says other developers have used it to reach $10k–$100k+ per month (five- to six-figure range).


Framework / playbook: “Turn code into profit” (end-to-end)

  1. Idea generation

    • Find “problems groups of people are having” on communities like Reddit.
    • Copy or adapt an existing product that already solves a large problem with enough demand.
    • Improve the product enough that customers have a reason to switch.
    • For APIs specifically:
      • Research popular APIs on marketplaces.
      • Build offerings that aggregate functionality from multiple APIs.
  2. Validate and plan the API build

    • Use external data providers by finding a suitable service (example: IPLocate).
    • Check provider capabilities (example: the free plan includes 1,000 requests/day).
    • Obtain an API key (providers track usage and client behavior per key).
  3. Build the API (with AI-assisted coding)

    • Use API documentation and/or prompt ChatGPT to generate integration code.
    • Example target endpoint: “given an IP address, return a user’s location/address.”
    • Implement with TypeScript for type safety.
    • Fix AI-generated errors and polish the code to work locally.
  4. Optimize for distribution

    • The speaker references an “optimized codebase” for:
      • faster response times
      • better fit for API marketplaces
  5. Deploy and publish

    • Deploy the API (example: Vercel from a GitHub repo) so it’s publicly accessible.
    • Test the deployed endpoint (example tooling: Postman).
  6. Monetize

    • List on an API marketplace once public.
    • Optionally sell as a standalone SaaS (advanced route includes):
      • a landing page
      • Stripe checkout
      • billing for an API product

Concrete example (worked walkthrough)

  • Use case: API returns location/address based on the requester’s IP.
  • External dependency: iplocate.io via their lookup endpoint.
  • Workflow shown:
    • Sign up for the provider to get an API key
    • Call the lookup endpoint using the API key
    • Use an AI coding tool (Cursor) to generate the TypeScript API integration
    • Deploy to Vercel
    • Verify responses from Postman after deployment

Offers / scaling paths (business model options)

The speaker references three products/material tiers:

  • Free: intro version of the method
  • Marketplace training: “good for 80% of people” to build and start selling
  • Advanced SaaS guide: to scale toward a “million-dollar business,” including:
    • full SaaS setup
    • landing page
    • Stripe checkout tied to an API

Metrics & targets mentioned

  • Revenue claim: $6,000 in one month (“during this year”)
  • Scaling outcomes (reported by other developers): five to six figures per month (i.e., $10k–$100k+/mo)
  • Usage/tier example: 1,000 requests/day free plan for the IP provider used in the demo
  • No explicit marketing KPIs (e.g., CAC/LTV/churn) or conversion targets are stated in the provided subtitles.

Actionable recommendations (implied from steps)

  • Start with demand signals (marketplaces + communities like Reddit).
  • Avoid reinventing everything: aggregate existing APIs where possible.
  • Use provider docs plus AI assistance to accelerate integration coding.
  • Choose a tech/UX-friendly implementation approach (example: TypeScript, public deployment).
  • Monetize quickly by:
    • first listing on an API marketplace
    • then scaling to SaaS + Stripe when ready

Presenters / sources

  • Presenter: the video’s creator/speaker (name not provided in the subtitles)
  • Sources / services mentioned:
    • iplocate.io / IPLocate
    • Google (to find existing services)
    • Reddit (idea discovery)
    • Postman (testing)
    • Cursor (AI-assisted coding tool)
    • ChatGPT (code/integration assistance)
    • Vercel (deployment)
    • GitHub (repository source)
    • Stripe (checkout/billing for SaaS route)

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