Company case study · 3 podcast episodes
Gemini
Gemini is a state-of-the-art AI model developed by Google, designed to help users build applications and games through a process called vibe coding. It came up on 3 podcast episodes (Koerner Office, Startup Ideas Podcast) between November 18, 2025 and July 14, 2026.
At a glance
| Discussed on | 3 episodes: Koerner Office, Startup Ideas Podcast |
|---|---|
| First and latest | November 18, 2025 to July 14, 2026 |
| Revenue and traction | The model is free to use within limits, with a pricing structure of $2 per million input tokens and $12 per million output tokens, which is competitive compared to other models. |
| Category | Education |
Figures and claims are as told on the episodes, summarized from the transcript. Check the date: they describe the company at the time it aired.
What Koerner Office said
I Asked 5 AIs to Make Me Money (One Dominated) - Ep. #317 · aired July 14, 2026 · hosted by Chris Koerner
Why it works
It has access to a vast amount of search data, which can give insights into market trends.
The playbook
Gemini started with higher-risk investments but ended up losing money, showing a pattern of chasing losses.
Also mentioned
Gemini managed to lose more than half of the initial investment and has been compared unfavorably against other AI models.
What Koerner Office said
The Easiest Way to Profit From AI Right Now⏐Ep. #278 · aired February 27, 2026 · hosted by Chris Koerner
Why it works
It provides advanced capabilities for analyzing complex data sets, making it valuable for businesses looking to derive insights.
The playbook
Gemini is used in conjunction with other AI tools to conduct thorough analyses and audits, enhancing the decision-making process.
Also mentioned
The speaker mentions using Gemini alongside other models to refine product planning and implementation.
What Startup Ideas Podcast said
I got a private lesson on Google's NEW Gemini 3.0 AI Model · aired November 18, 2025 · hosted by Greg Isenberg
Why it works
Gemini's ability to allow users to create complex applications and games quickly and intuitively makes it accessible for both experienced developers and novices. Its integration with Google services enhances its functionality and reach.
Revenue and traction
The model is free to use within limits, with a pricing structure of $2 per million input tokens and $12 per million output tokens, which is competitive compared to other models.
The playbook
Key strategies include providing a user-friendly interface for building applications, allowing for real-time coding and iteration, and leveraging AI to enhance the coding experience.
Also mentioned
Gemini is available across various Google platforms, including AI Studio, and focuses on making AI tools accessible for a wide array of users.