Bloomberry uses Claude Sonnet to generate structured, high-performing LinkedIn posts — with your voice memory built in so you stop rewriting AI output before you publish.
Most AI writing tools forget who you are. Tools like ChatGPT, Jasper, and Copy.ai generate content based on the prompt you give them in that moment. Bloomberry works differently. It builds a memory layer that learns your voice over time, so Claude can write LinkedIn posts that sound like you — not like generic AI. You also get to choose your model: Bloomberry also lets you choose your AI model depending on the type of writing you're doing.
Real examples of what Bloomberry generates.
The most dangerous signal in early-stage startups isn't churn. It's false product-market fit. Customers who use the product but only because it's free, or because switching costs are high, not because it solves a real problem. I've seen three startups spend 12 months building features for customers who were never going to pay. The signal is subtle: Engagement goes up. Revenue stays flat. Sales conversations always need "one more feature." The fix: Build for the customer who pays without negotiating, not for the one who has the most feedback.
The biggest go-to-market mistake I made: hiring a sales rep before I had a repeatable sales process. I assumed the rep would figure it out. They didn't. A sales rep can execute a process. They cannot create one. Building the first 10 deals yourself before hiring is not slow. It's the actual job. You're learning what to tell the rep, not what to learn from them.
Three steps from idea to published post.
See how Bloomberry compares on the things that matter.
Your voice profile is built once and applied to every generation.