Company case study · 2 podcast episodes

CalShi

CalShi is a prediction market platform that allows users to wager on the outcomes of events, effectively creating a marketplace for predictions. It came up on 2 podcast episodes (My First Million, Startup Ideas Podcast) between October 13, 2025 and February 9, 2026.

At a glance

CalShi at a glance
Discussed on2 episodes: My First Million, Startup Ideas Podcast
First and latestOctober 13, 2025 to February 9, 2026
Revenue and tractionThey generate revenue based on a small percentage of the betting volume, which is significant given the high volume of transactions.
CategoryAgency

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 My First Million said

6 Trends You’ve Never Heard Of (That Might Explode) · aired February 9, 2026 · hosted by Sam Parr and Shaan Puri

Why it works

The model works due to the accurate forecasting of events based on user wagers, which can be more reliable than traditional news sources.

Revenue and traction

They generate revenue based on a small percentage of the betting volume, which is significant given the high volume of transactions.

The playbook

They utilize the principle of market dynamics, allowing users to engage based on their convictions and research, which enhances engagement and accuracy.

Also mentioned

CalShi is noted to be involved in both political and sports prediction markets.

What Startup Ideas Podcast said

How I use Veo3 + Sora 2 to create Viral AI Videos (300M+ views) · aired October 13, 2025 · hosted by Greg Isenberg

Why it works

The ad created for CalShi utilized a historical narrative approach that resonated with viewers, leading to high engagement.

The playbook

The advertising strategy focuses on creating relatable and inspiring content that connects historical events with the brand's message.

Also mentioned

An ad for CalShi received 50 million views, showcasing the potential of their advertising approach.

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