Ex-MrBeast Staffer Built an AI Co-Pilot for 50M Creators

01 /The Concept

The founder of today's startup is 21 years old – but he's been making short videos for a decade, obsessively tracking what makes people finish a video versus drop off. He applied those findings to the next video, kept iterating, and at 18 landed a job at MrBeast. He left recently to build his own startup.

That startup is Palo, billed on its homepage as "the world's first personal AI co-pilot for creators."

The first function: helping creators build new content. A creator starts by connecting their existing accounts so the platform can analyze their body of work and understand their individual style. The goal is an AI co-pilot that helps produce content that sounds and looks like it came from that specific creator.

From there, the co-pilot can brainstorm ideas for new videos on a given topic, or develop promising angles from past successful videos. When a good idea emerges, it can be expanded into a concept and then a full script.

If a creator prefers to write the script themselves, the co-pilot shifts into a supporting role – surfacing relevant facts, jokes, and visuals that fit the creator's tone and voice.

The second function is what Palo calls "analytics that actually thinks"

The platform aggregates performance data across all social accounts and videos. The distinctive part: it cross-references completion rates and view counts against the actual scripts – identifying which creative choices in the content correlate with which results.

This produces a list of actionable insights for future videos. Some are granular ("adding a stretchy cheese moment increases average views by 5 million"); others are structural narrative patterns that can be applied across topics.

The third function is community navigation. This is still early-stage, covering friend connections, a social feed, and direct and group messaging.

The most interesting already-live feature: finding other creators whose style matches yours. Since the AI has already analyzed every community member's body of work, you can discover potential collaborators or freelancers whose aesthetic is genuinely compatible with your own – rather than hoping a portfolio holds up on inspection.

During the closed beta, Palo worked with 40 creators, each with more than 1 million subscribers. It's now opening to creators with 100,000+ subscribers and plans to move users from free to paid tiers at $250/month.

Palo has raised $3.8M to fund this expansion.

02 /Why It Matters

When the founder still worked at MrBeast, one show involved offering people a flight to Paris to bring back a fresh baguette. MrBeast started at $100, increased to $300 when the person declined, and kept escalating.

This is the "offer ladder" formula – a structure that hooks viewers and keeps them watching, because everyone wants to find out at what price someone finally says yes. The key insight is that once you identify a formula that works, you can apply it to videos on completely different topics.

The entire point of the MrBeast operation, as the founder recalls it, was finding these formulas and putting them on a production line. That's the soul of Palo's AI co-pilot: analyze a creator's successful videos, extract the formulas, and make them available for future content.

Formulas can apply to any element of a video – what hooks viewers in the first few seconds, how to build tension, what a strong ending looks like, and which small details to deploy along the way.

Once formulas are identified, the co-pilot surfaces them in the simplest, most usable form – so the creator can actually apply them without needing to reverse-engineer their own past work.

As the founder puts it: AI should not replace creators – it should help them understand what they're creating and draw useful conclusions from it.

Y Combinator's current batch includes Bluma ([related review](/review/jetot-recept-prodvizhenija-byl-ochevidnym)), which operates on a similar principle but for branded advertising: its AI analyzes viral videos and the client's own content, creates templates from the extracted patterns, and lets the client generate ad videos directly on the platform.

Palo's community feature – finding creators who work in a compatible style – is reminiscent of Roster ([related review](/review/a-takih-marketplejsov-poka-net)), a freelancer marketplace for the creative industry. Roster's AI analyzes portfolios to understand each freelancer's aesthetic. A creator looking for help uploads links to their own work, and the platform returns not just a list of qualified freelancers – but qualified freelancers who work in a matching style.

03 /Opportunities

Content production is no longer an art. It's a craft – increasingly industrialized.

The core driver: the sheer volume of content competing for attention online means you need to produce consistently to stay visible. Which is why companies have started building in-house "content factories" capable of publishing thousands of videos per month – including the same core video reformatted for different platforms and accounts.

Managing those factories is expensive and painful. So AI platforms have emerged to automate, simplify, and reduce the cost of running them.

Most have focused on paid advertising for brands. GetCrux ([related review](/review/kak-sozdat-jeffektivnuju-reklamu)) and Extuitive (covered separately) are examples of this category.

Palo's differentiation: it targets creators, not brands. Creators have different success metrics – impressions and subscriber growth rather than conversion rates. And their content is held to a higher standard: it needs to be genuinely interesting and, most critically, recognizably theirs. Their audience follows them for a distinct voice, not a product catalog.

Building an AI content engine for creators is harder than building one for advertisers. But as today's review shows, it's also solvable.

This makes creator-focused AI tooling a distinct segment within the broader content automation trend. And with roughly 50 million online influencers worldwide, this segment is substantial – arguably larger than most standalone markets.

The overwhelming majority of those influencers are small and mid-sized creators without budgets for human content teams. But they can stretch to afford AI-powered tools that help them survive – and potentially grow. In aggregate, that spending adds up to serious money worth pursuing.