How Podcuts.ai Started — and Why It Pivoted (Twice)

How Podcuts.ai Started — and Why It Pivoted (Twice !)

Podcuts.ai didn’t start as a startup.

It started as a freelancing project.

Long before AI, before ChatGPT, and before “AI video tools” became a category, we were building internal systems for a trading company. The problem was straightforward—but painful:

Hours of video content were being produced, yet almost none of it was searchable, reusable, or easy to extract value from.

Content was created once, watched once, and then forgotten.

The First Product: Video Search for Crypto

Our first serious product attempt was a video search platform focused on cryptocurrencies.

The vision was ambitious for its time:

• Search across long-form videos

• Instantly understand what was being said about specific coins or topics

• Navigate hours of content without watching everything manually

To make this work, we built a scalable AWS Lambda–based architecture capable of processing and indexing large volumes of video efficiently.

From a technical perspective, it worked.

But timing matters.

This was pre-LLMs, pre-modern AI. Without strong semantic understanding, the experience fell short of what users intuitively wanted. Despite solid infrastructure, the product couldn’t deliver the clarity and usefulness needed to truly break through.

It never fully saw the light of day.

The First Pivot: Capit.live

Then AI started moving fast.

Suddenly, understanding video content at a semantic level wasn’t theoretical—it was practical.

That shift led to our first real pivot: Capit.live.

Capit.live focused on helping users:

• Interact with long-form video

• Ask questions about recordings

• Understand content without scrubbing timelines

For the first time, people could talk to their videos.

And that’s when we noticed something critical.

The Real Problem Wasn’t Understanding — It Was Output

Users didn’t stop at asking questions.

They kept asking:

• “Which parts should I clip?”

• “What moments would work on social?”

• “How do I turn this into short-form content consistently?”

The real pain wasn’t access to information.

It was leverage.

People didn’t want to just understand their content—they wanted to multiply it.

The Second Pivot: Podcuts.ai

That insight became Podcuts.ai.

The focus shifted from analysis to distribution.

From understanding content to making it travel further.

Podcuts.ai helps creators and teams:

• Extract high-impact clips automatically

• Generate spoken, scroll-stopping hooks

• Style captions for short-form platforms

• Score clips by virality potential

• Chat with their content to refine, regenerate, and explore ideas

• Eliminate hours of manual editing and decision-making

All built around one simple idea:

One episode in.
A week of clips out.

What Stayed the Same

Across every pivot, one belief never changed:

Content shouldn’t be created once and forgotten.

Podcuts.ai is the result of years of building, failing, observing real workflows, and adapting—until the technology finally caught up with the problem we were trying to solve from day one.

What’s Next

In upcoming posts, we’ll go deeper into:

• Why timing matters more than ideas

• What building pre-AI taught us

• How we think about virality without clickbait

• Where Podcuts goes beyond podcasts

For now, this is where the story stands.

One episode in.
A week of clips out.

Where We’re Headed

Podcuts is still evolving.

What started with podcasts now applies to:

• Long-form video

• Educational content

• Interviews

• Talks and presentations

• Internal knowledge and media libraries

Anywhere valuable content exists,
Podcuts helps it travel further.

One episode in.
A week of clips out.