Paste any URL and LayerProof generates ready-to-post content for LinkedIn, X, Instagram, TikTok, and Facebook, formatted natively for each platform, with every claim traceable to your source. No hallucinations. Free to try.
Repurpose social media posts with unique content per format
Paste any URL and LayerProof generates ready-to-post content for LinkedIn, X, Instagram, TikTok, and Facebook, formatted natively for each platform, with every claim traceable to your source. No hallucinations. Free to try.
Hey Product Hunt 👋 I'm Nathan, and together with my team - Chan, Neel, and Ha. We built LayerProof because repurposing content across social platforms is one of those tasks that sounds simple but eats hours every week. You write a blog post. Now you need a LinkedIn post, an X thread, an Instagram carousel, and something for Facebook. Each platform has different formats, different lengths, different vibes. So you either spend an hour manually adapting each one, or you copy-paste the same text eve
I am a (french) podcast host and also work as a Spartan! Congrats on the launch. LayerProof helped me create an Instagram carousel post out of a YouTube video in minutes. It one shotted it everything, including using by brand (font, logo). You can steer it as much as needed and gives you variations to pick from. Then I extended my post to the other platforms and again it one shotted it. Will keep using it in my workflow to save time. Thank you Chan, Neel, and Ha! PS: Feedback you could autogener
The interesting part here feels like what happens right after generation. Getting multiple versions per platform is useful, but it can also turn into more decisions instead of fewer. Early on, I’d be curious how often people actually take one and post it as is, vs going back to edit or not using it at all.
This is super handy. Does it keep the original tone?
Hey everyone 👋, I’m Chan, founder of LayerProof! We’ve spent a lot of time building with LLMs, and one thing became clear: great output doesn’t come from better prompts alone, it comes from better input. And better input is a system: data > patterns > insights . The insight is where the real leverage is, because it compounds over time. Instead of building another content generator, we took a different path and focused on curating the right data before it ever reaches the LLM, so what comes
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.