Writing Hooks
Writing Hooks - Create Viral Content
About
100+ proven hooks used by top 1% creators to grab attention, grow audience, and turn readers into fans.
Each hook includes a ready-to-use template, so you can easily apply the same formula to your own content.
What you can do:
- Discover hooks from top creators like Nicolas Cole, MrBeast, and Alex Hormozi
- Filter hooks by platform (X, LinkedIn, YouTube, Reels, Newsletter)
- Browse by category and niche
- Save your favorite hooks for later
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Write scroll-stopping LinkedIn posts Use proven hooks to start your posts in a way that grabs attention instantly. Just pick a hook, use the template, and plug in your own idea
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Create high-converting email subject lines Turn boring emails into ones people actually open. Use hook templates to write subject lines that spark curiosity and clicks
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Make attention-grabbing ads & content Whether it’s YouTube, Reels, or X, use these hooks to stop the scroll. Follow the same formulas used by top creators and adapt them using templates
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
Ladder's web2app isn't primarily about fees. It's about getting purchase signal back to TikTok and Instagram fast enough to train the algorithm. On iOS you're waiting 3, 7, 14 days for SKAdNetwork windows. On web you get the signal in hours. That changes what the algorithm can do for you.
Early signal feedback to TikTok/Instagram — not fee saving — is what makes Ladder's web2app work
Petit cites Ladder (the strength training app) as the clearest example of web2app as a paid acquisition infrastructure play. iOS attribution delays prevent the ad algorithms from learning which creatives and audiences convert to buyers — web payments collapse that window from days to hours. Faster signal enables the algorithm to optimise spend more accurately, improving ROAS independent of any fee savings.
instead of asking people to rank things on a scale what you do is you give them some list of attributes categories and you say out of this list what's the most important to you and what's the least important to you and then you calculate tally all of that up
Use MaxDiff instead of 1-5 ranking to actually prioritize features
Likert-scale feature rankings bunch every option at 'kinda important' and tell you nothing. Use MaxDiff instead: force respondents to pick the MOST important and LEAST important from a list, then score each item as most-count minus least-count. One founder ran this and found his planned roadmap scored near zero while a harder, unsexy feature scored highest.
There's a play for whatever you're stuck on.
Read all 2722 playbooks
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