How Did 23-Year-Old Blake Anderson Make $2.4M With His First App, Riz GPT?

TL;DR

Blake Anderson made millions from his first app by using ChatGPT to build Riz GPT and promoting it through highly relevant social media creators. Two $50 promotions generated almost 200,000 downloads in under a week and lifted monthly revenue to $80,000; it later exceeded $200,000 per month. Read on to see how the app worked, why its simple use case resonated, and how the promotion strategy accelerated growth.

Transcript

in the past year I've made about 5 million in Revenue it really was as simple as asking chat GPT how do I build a mobile app there have been a lot of people that are like you can't just build an app with like 95% chat GPT and I'm like no you actually can those two videos generated almost 200,000 downloads in less than a week and shot us to $80,000 ... Read More

Key Insights

• Blake Anderson built a successful app with minimal coding experience using ChatGPT, highlighting AI's role in democratizing app development.
• The app, Riz GPT, uses optical character recognition and AI to generate responses for dating app users, addressing a clear market need.
• Effective social media marketing, including influencer partnerships, was crucial in achieving rapid app downloads and revenue growth.
• Blake emphasizes the importance of solving clear problems with simple solutions to achieve significant market impact.
• He believes in rapid iteration and split testing in app development to refine product offerings and marketing strategies.
• Blake's approach to influencer marketing focuses on engagement and viewership rather than follower count for effective promotion.
• He plans to reinvest profits into a new venture, Apex, focusing on holistic self-improvement and personal development.
• Blake's journey underscores the potential for young entrepreneurs to leverage AI and social media to create impactful tech solutions.

Questions & Answers

Q: How did 23-year-old Blake Anderson make millions with his first app?

Blake Anderson built Riz GPT, an app that suggested replies to dating-app conversations, with ChatGPT handling much of his technical guidance. Two $50 social media promotions generated almost 200,000 downloads in less than a week, and the app later surpassed $200,000 in monthly revenue.

Q: What does Riz GPT do?

Riz GPT lets users upload screenshots of dating-app messages and receive suggested responses. Users can generate another option or adjust a “spice meter” to make the reply more flirtatious, then copy and paste it into their conversation.

Q: How did Blake Anderson build an app without extensive coding experience?

Before Riz GPT, Blake had only done basic Python work, including simple for loops and data analytics, and had never built software. He asked ChatGPT how to build a mobile app and said roughly 95% of the app could be built with its help.

Q: How does Riz GPT turn a screenshot into suggested replies?

The app uses OCR, or optical character recognition, to extract the messages from an uploaded screenshot. It sends the resulting conversation transcript through ChatGPT with a tailored prompt, then returns possible responses to the user.

Q: How did Blake make ChatGPT’s dating replies sound less robotic?

His first test produced decent but robotic responses. He refined the prompt with detailed instructions so the output sounded more human and had the flirtatious quality he described as “Riz.”

Q: How did two influencer promotions affect Riz GPT’s growth?

Blake paid $50 for each of two promotions from creators already publishing dating-conversation content. Their videos received a few million views each, produced almost 200,000 downloads in less than a week, and pushed the app to $80,000 in monthly revenue.

Q: How much revenue did Riz GPT generate?

The app jumped to $80,000 in monthly revenue after its early promotions. Over the following months, it scaled to a little over $200,000 per month, remained near that level for about 10 months, and approached $2.5 million in total revenue.

Q: What was Blake Anderson’s main product lesson from Riz GPT?

Blake emphasized building something with a clear use case that solves a clear problem people already have. Riz GPT was intentionally simple: users uploaded a screenshot, generated a reply, and copied it into their dating conversation.

Summary & Key Takeaways

• Blake Anderson, at 23, built a successful app using ChatGPT, generating $2.4 million in revenue. Despite limited coding experience, he leveraged AI tools to create Riz GPT, an app that aids dating app users in generating conversation responses.

• The app's success was driven by effective social media marketing and influencer partnerships, achieving rapid downloads and revenue growth. Blake emphasizes solving clear problems with simple solutions for market impact.

• Blake plans to reinvest profits into Apex, a venture focused on self-improvement and personal development. His journey highlights AI's role in democratizing app development and the potential for young entrepreneurs to create impactful tech solutions.