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TBPN is a 7k-live-viewer pod that sold to OpenAI for $200M because their average clip gets 257k views. Everyone's talking about the strategy. Here's the structure: 1. Format is engineered for clippability, not the other way around 3 hours/day, live, 5 days a week — massive raw inventory to mine Guest call-ins (6–8 per show) = built-in 5–10 min self-contained segments. Every guest segment is a pre-packaged clip candidate with a hook, arc, and payoff Hosts read tweets live on air → instant meme fodder + the tweet author shares the clip back (distribution loop) "High and low" aesthetic: mahogany desk + cinematic lighting + suits, BUT content is group-chat casual. Makes clips feel premium + authentic at the same time 2. The clip itself - consistent visual grammar Aspect ratio mix: native horizontal on X (where they're platform-native), 9:16 re-cut for TikTok/Shorts/Reels Opening 3 seconds: hard cut to the punchline or hot take. No intro, no ramp Captions: burned-in, large, two-color (speaker name + quote), word-level highlight Lower-third branding: TBPN bug + topic tag always visible → instant brand recognition even if muted Length: 30-90 seconds sweet spot. Guest clips run longer (2-3 min) when the take is meaty End frame: guest's handle + "@TBPN" — clip becomes an ad for itself 3. The caption/tweet wrapper Format: "[quote]" - @[guest] — always attribution-forward Second line: context (what show, what topic) — usually one sentence Never an explainer or thread. The clip does the work. Posted from @tbpn main account AND the guest usually quote-RTs → dual distribution 4. Volume + cadence ~8-15 clips per episode posted across the day (not dumped at once) Each clip tests a different hook/angle from same episode "Most popular clips of the last 2 weeks" recap posts = second-wave distribution on the winners Weekend: compilation content, "best of" threads 5. The real edge The clips aren't actually why TBPN wins - they're a symptom. The real skill is "timeline control": reading when a topic is peaking, coining phrases that spread, getting the right guest on the day a story breaks. Clips are the delivery vehicle for a bigger game of being the center-of-gravity account for tech Twitter. It seems like a no-brainer to at least try to figure out how to adapt this if you create content.

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Coaching and higher tier content ideation - Scans daily number 1 priority and top 3 things done yesterday and scores people individually, in front of everyone via Slack. Also sends a leaderboard at the end of each month to see how everyone did. - Sits in internal calls and pulls 'compelling content ideas' to be used for organic social. Oftentimes, your best ideas will come from passionate internal dialogues. - Coaches people on running L10 meetings, sales meetings, client meetings, etc. This would be annoying work that someone would have to micromanage but it's now 'new work' that an AI can handle. And the best part? No one can get offended at the AI for its feedback. 😉

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@FitFounder A silk sleep mask. A white noise machine. A meditation pillow. A 5-minute journal. A pair of blue light-blocking glasses. A 10000 lux light to use in the morning. A set of sleep supplements such as glycine and l-theanine.

Here’s a breakdown of TBPN’s clipping strategy that got them to $30M in ad revenue that led to a $200M exit to OpenAI. A lot more people will start to do this so you might as well start now:

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715 stars and counting on our revenue-generating skills repo. One skill alone has already recovered $500k in savings for us. Another one resurrects lost deals. Best part is it's completely free.

SpaceX, Tesla, PayPal, etc. are amazing gifts to humanity from @elonmusk. But I think an even greater gift would be for him to reveal how he gets so much done in a day. How does he break down his day into 5-minute increments? Hell, even understanding his frameworks for hiring people to grind Diablo 4 for him would be a helpful window into his work style. First principles are about understanding what's actually true. If we can understand what's true in his head, more Elon-esque people will spawn.

@awilkinson OpenAI Connector to Google Calendar to give me a table breakdown of how I've spent my time in the last 6 months and recommendations on how I should optimize it based on everything we've workshopped via memory.

@petergyang @getlindy

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@levelsio 15g

@alexisohanian How did it know? 🤔

Yes, you can only afford to hire people who use AI but we must define what that means. - Unacceptable: "I love using ChatGPT." - Capable: someone who is using Claude Cowork or Claude Skills. - Adaptive: someone who is using Claude code - Transformative: someone who is building end-to-end workflows (perhaps using one of the Claws) If you fail to define this clearly, you will end up hiring bozos.

@FitFounder The highest leverage/most reused ones: Silk sleep mask Sleep tape Reverse osmosis filter Yeti water bottles (16, 32, 60 oz) Bruder eye mask

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Most companies are still A/B testing with live traffic like it's 2019. You can score 100+ variants before a single person hits the page. Here's how: