Create meaningful replies 10x faster in 2 minutes with AI Replai is the easiest way to connect with the community, look clever, funny, and professional on social media, appear smarter, and grow your audience with 10x less effort.
GPT-4 replies for 10x growth for LinkedIn & Twitter
Create meaningful replies 10x faster in 2 minutes with AI Replai is the easiest way to connect with the community, look clever, funny, and professional on social media, appear smarter, and grow your audience with 10x less effort.
Hi, Product Hunters 👋 Today is day X for us. We are finally launching our best GPT-4 replies generator — Replai.so Here is the story. 1️⃣ Why have we built it? Getting bigger on Twitter, LinkedIn is not a piece of cake You have a brilliant tweet. You build the perfect LinkedIn bio. And then happens the worst — your profile stops growing. Few subscribers, you are not known in the community; others grow faster. Your social media profile deserves a better future. Let’s change it. 2️⃣ How does it he
Am I the only guy who doesn't want to read all these generated comments/posts on social media websites?
Hi Sergey, Congratulations on launching Replai! It sounds like a fantastic tool for boosting engagement on social media with a personal touch. The custom reactions feature seems particularly useful for varied and authentic interactions. Is there a feature in the pipeline that allows for analytics to track the growth and engagement resulting from using Replai?
Hi, guys. Good product. I definitely will try it in my daily work with socials
Congrats on the launch, and good luck!
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.