Paste a blog post or podcast transcript. Get platform-ready Twitter threads, LinkedIn posts, and newsletter hooks — in seconds. All processed locally. Your content never leaves your machine.
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We spent 6 months building a feature nobody wanted.
Not because we were lazy. Because we trusted surveys over behavior.
Here's the $200K lesson in 5 tweets 🧵
The most expensive code I ever wrote worked perfectly.
It compiled. It passed tests. Users just didn't care about it.
After 6 months of building in a vacuum, here's what I'd tell every PM about the gap between "what users say" and "what users do"...
Subject: The $200K feature nobody opened
Last quarter we shipped something beautiful, tested, and completely irrelevant. This week I'm sharing the framework that would have saved us 6 months.
Blog post, podcast transcript, newsletter, video script — anything with substance. Signal works best with long-form content (1,000+ words).
Twitter threads, LinkedIn posts, newsletter hooks, Instagram captions. Select one or all — each output is tuned for its platform's algorithm and culture.
Our local AI model identifies the highest-signal moments in your content — the contrarian takes, surprising data points, and emotional peaks — then crafts platform-native posts around them.
Review the output, edit inline if needed, and copy to clipboard. Your content calendar just went from empty to full in 30 seconds.
Your content never leaves your machine. Signal runs AI models on your own hardware. No API keys, no data leaks, no vendor dependency.
Most tools just summarize. Signal identifies the most shareable moments — the hooks that stop the scroll — and builds posts around them.
Twitter wants punchy. LinkedIn wants professional. Newsletter wants intimate. Each output is tuned for how the platform actually works, not generic reformatting.
Start creating from leverage.