ChatGPT writes LinkedIn posts. They just don’t sound like you.
ChatGPT is a general-purpose tool. It doesn't know what you did this week, what your company sounds like, or what makes a LinkedIn post actually work. Say Something does.
General purpose vs. built for one thing.
“Excited to share that we just hit a major milestone! 🎉 This wouldn’t have been possible without our incredible team. Leadership is about empowering others to achieve greatness. What milestones are you celebrating this week? Drop them below! 👇”
We crossed 1,000 paying customers last Thursday. It took us 22 months. For context, our first 100 took 14 of those months. The inflection point wasn’t a marketing campaign or a product launch. It was when three customers started recommending us in Slack communities we’d never heard of.
The lesson I keep coming back to: the best distribution channel is a product people actually talk about when you’re not in the room.
It doesn't ask what happened to you.
No interview step
ChatGPT takes a prompt and writes. Say Something asks you questions first — pulling out the specific details that make a post worth reading.
No kill list
ChatGPT defaults to emojis, engagement bait, and performative modesty. Say Something has a 13-rule kill list that blocks all of it before you see a draft.
No LinkedIn expertise
ChatGPT doesn't know that hashtags are dead, that 'how I' beats 'how to', or that stories outperform tips. Say Something was built on those rules.
ChatGPT is great. Just not for this.
ChatGPT is genuinely useful for research, brainstorming, and a hundred other tasks. But LinkedIn posts have specific rules — what works, what gets suppressed by the algorithm, what makes people scroll past. A general-purpose tool can’t enforce those rules because it’s designed to do everything.
Say Something does one thing: turns what happened in your week into a post that sounds like you wrote it on your best day. That’s it. Grade your current posts or see examples of what good looks like.