Introducing the Pamba blog

Pamba is the engine behind hundreds of AI creator accounts posting to TikTok and Instagram every day. That vantage point generates a lot of learning: which hooks hold attention, how posting cadence changes distribution, what makes an AI avatar read as authentic, and how to run all of it without a content team.

Until now that learning stayed inside the product and our customers' strategy sessions. This blog is where we start writing it down.

What we'll publish

• Playbooks: concrete, reproducible tactics for short-form growth with AI creators, from hook structure to account warming.
• Data notes: patterns we see across the videos our platform generates and posts, shared with real context (and clearly labeled when illustrative).
• Build logs: how the product works under the hood, from video generation pipelines to posting from physical devices.

Expect posts with charts and screenshots, not stock-photo listicles. Here is the kind of thing we like: a simple view of how watch time and follower growth move together as an account finds its format (illustrative data, not a real account):

• Avg watch time (%)
• New followers (per day)

The pattern in that chart is the one we see most often: retention improves first, distribution follows. When a post's average watch time crosses roughly the halfway mark, the algorithm starts testing it against bigger audiences, and follower growth stops being linear.

Why we're writing

Short-form is moving fast and most advice about it is recycled. We run the experiments anyway, at scale, across niches. Writing the results down keeps us honest and gives you something usable whether or not you ever try Pamba.

New posts land at pamba.app/blog. If you want to see the product the data comes from, the demo is the fastest tour.