AI content engine that knows your product, learns your voice, and turns shipping updates into social posts founders actually want to share.

Founders know building in public works - but between shipping features, talking to users, and running a business, content is always the first thing to drop. And when they do try AI tools, they end up re-explaining their product every single time just to get back generic posts that sound like everyone else.

Ravah fixes this. It's a product-aware content engine that deeply understands what you're building, who it's for, and what you shipped this week. Set up your product context once, train it on your real writing style, and every time you log an update — a new feature, a hard lesson, a pivot - Ravah turns it into a full content plan across LinkedIn, X (more soon).

No templates. No copy-paste prompts. No "write me a LinkedIn post about..." - just your product, your progress, your voice.

Why Ravah?

You ship something cool on Monday. By Wednesday you think "I should post about that." By Friday it's too late and you've moved on. Repeat every week.

The tools that exist today - ChatGPT, ContentIn, Kleo, Jasper - they don't know your product. Every session starts from zero. You paste in context, explain your audience, describe your voice, and get back something that sounds like it was written by a marketing intern who skimmed your landing page.

Ravah remembers. Your product context, your audience, your stage, your voice - it's all stored and evolving. Week 12 content is dramatically better than Week 1 because Ravah has been learning alongside you.

Ravah starts from your product, not from trends. Other tools chase LinkedIn virality with hook templates and trending formats. Ravah generates from what you're actually building. The content is real because the source is real.

Ravah learns how you write. Paste in posts you've written before, and Ravah extracts your tone, sentence rhythm, vocabulary, hooks style, and structure. Content comes out sounding like you wrote it - because it was trained on how you write.

Features

product context engine
voice training
update-to-content pipeline
multi-platform
export to csv

Use Cases

Founders building in public
Indie hackers launching products
Solo founders who can't afford to hire a content person
SaaS founders growing on LinkedIn and X
Pre-launch founders building an audience before launch
Technical founders who hate writing marketing content

ravah

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