Build a powerful help center for your app with Semope. Customize your knowledge base, improve support, and reduce support tickets—all in one place.
Build a public help center in minutes
Build a powerful help center for your app with Semope. Customize your knowledge base, improve support, and reduce support tickets—all in one place.
Hey Hunters! I originally built Semope to solve my own need — but I quickly realized it could be useful for others too. Whether you're a solo founder or part of a small team, you can set up a branded Help Center in minutes. Publish unlimited articles, organize them with categories, and give your users a place to find answers 24/7. What you can do with Semope for free: ✅ Create a public Help Center for your app. 📂 Add categories and organize your content. 📝 Publish unlimited articles and updates.
I think focusing on developing just the help center was a great decision! If AI support is added, it will make it even easier to use.
One-click setup is a game-changer for help centers!😄
Looks great! I like the visual minimalistic feel of the homepage - clean. I am in the process of thinking about help docs solution for a SaaS app I am building, so can comment on some questions that popped up as I was reading though the homepage: - How does the publishing work? Is there versioning? - Can I embed code sections? Gave it a quick try and found a little issue: when editing a title of a category or just typing anywhere, using Shift+T lets say triggers the shortcut for delete rather th
This is cool! Can definitely see it being used in a lot of places. How do you train its knowledge base?
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.