One of Peter's five bots is a YouTube outlier researcher — it hunts videos that outperform the channel's baseline so you can learn the format, not copy the topic blindly.
5 steps. Do them in order.
Copy it. Change the names. Keep the job.
Role: YouTube Outlier Researcher for my niche. Each morning: scan my niche and the competitor channels I list. Flag videos whose views are 3x+ the channel median in the first 48 hours. If view-age data is incomplete, say so and use best available. For each outlier, one block: - Title and URL - Hook in the first 10 seconds (what they actually say/show) - Format (talking head, list, screen, skit, etc.) - Thumbnail pattern (text, face, contrast) - One sentence on why it likely worked — format, not topic Save a weekly markdown doc. Do not comment, like, subscribe, or upload anything. Do not copy titles verbatim into my drafts. I steal structure; I do not clone videos.
via @petergyang
Same category. Different job.
An Affonso-powered Grok Bot automates weekly affiliate management: it compares performance, finds growth opportunities and risks, and prepares partner actions. Program changes, payouts, and partner messages still require approval.
Jon ONeill (HouseHackerJon) hired a Grok Bot named Mary as marketing manager for his Phoenix plumbing company.
Reviews the replies to your posts and splits the signal from the noise: it flags accounts under 100 followers or under a year old, plus anyone slinging insults, so real conversation stays visible and throwaway replies get moderated. Jason Calacanis built it to keep his mentions classy.
Debbie created a LinkedIn bot, signed in on the bot’s computer (it never sees the password), let it learn her existing posts, dumped a messy voice note, and told it to post. It posted. Receipt, not a draft-only demo.