Enjo Help Center
AI auto-builds your help centers that learn from your team
100 followers
AI auto-builds your help centers that learn from your team
100 followers
Enjo generates a full help center from just your website URL. Pick a template, answer 2 questions, and you're live. When customers ask questions it can't answer, Enjo learns from the resolution and writes new articles automatically.
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Hey Product Hunt! 👋
I'm Rashmi, cofounder at Troopr Labs. We make Enjo, used by 600+ companies including Netflix, Snowflake, and Grammarly for support automation. We're launching Enjo Help Center today.
Here's a conversation we've had with dozens of support teams:
"We know we need a help center. We've been meaning to set one up. But nobody has time to sit down and write 20 articles from scratch."
So the help center never gets built. Or it gets built once and nobody maintains it. Customers can't find answers, they file tickets, and the team answers the same questions every day.
We asked ourselves: what if you didn't have to write anything? What if you just pointed the AI at your website, answered a couple of questions, and got a working help center?
That's what Enjo does. Pick a template, paste your URL, and the AI generates your articles, organizes them into collections, and gives your customers a portal that actually answers questions.
But here's the part I'm most excited about: it gets smarter on its own.
When a customer asks something your help center can't answer, Enjo escalates it to your team. When they resolve it, the AI drafts a new article from that resolution. Next customer with the same question? Answered. No ticket needed.
Every conversation makes the help center more complete. Escalations go down over time, not because someone wrote more docs, but because the system learned from your team's real answers.
Free to start. All features, 200 AI replies/month, no credit card. Your help center stays live even after AI replies are used up. Starter plan is $95/mo when you need more.
What's been the biggest thing stopping your team from building a help center, or keeping the existing one from going stale? Genuinely curious what the blockers look like for people here.
Rajesh here, CEO at Troopr Labs 👋
Building a help center is the easy part. Keeping it alive is what kills you.
Every team we talked to had the same story. Built one, it was great for a month, then it slowly rotted. Nobody had time to maintain 40 articles.
The core idea behind Enjo is that a help center should be a compounding knowledge base. Sources go in, AI compiles articles, customers query, and every interaction feeds back to make it more complete. When a question gets resolved by your team, that resolution becomes a new article. The loop closes. Coverage grows from use, not from someone manually writing docs.
To keep that loop running long term, we built the Help Center Agent. Tell it "rewrite all billing articles for our new pricing" or "reorganize everything by user journey." One prompt, bulk changes. You review and approve.
The website URL is the fastest path in, but not the only one:
→ Zendesk/Intercom/Freshdesk tickets? Enjo extracts articles from your team's repeated answers.
→ Docs in Notion, Google Drive, Confluence? Connect them directly.
→ Most teams end up combining 2-3 sources.
We've been building support infra since 2019. Same AI layer that Netflix, Snowflake, and Grammarly run on daily.
Ask me anything. Genuinely.
I tried Enjo Help Center today and was genuinely impressed by how quickly it understood our product. Right after signup, it automatically generated a clean, well-structured set of help articles using our website and documentation. The content was surprisingly relevant and saved us a significant amount of manual setup time.
@niyati_dhingra That's great to hear Niyati, thanks for trying it out! As your portal gets real customer questions, you'll see the self-improving loop start filling in the gaps on its own. Let us know how it goes 🙏
Great to see this live! The closed-loop system where team resolutions automatically become draft articles is definitely the right way to think about knowledge management. It shifts the burden from writing to just reviewing. Congrats to the Troopr team!
@vickyonit Spot on. The knowledge already exists in resolved conversations, it just disappears into ticket history. We close that loop. Thanks for the support 🙏
Really excited to finally see how teams use Enjo 🚀.
We actually built this to solve our own support headaches first, and used it internally before deciding to launch because we wanted to be sure it genuinely worked in everyday support workflows.
Would genuinely love to hear what resonates, what doesn’t, and how other teams end up using it. Let’s go 🙌
Really excited to see companies start using this!
We've been building it for months, so there's a lot to explore but the best part is we made sure resolved conversations don't just disappear, they become the raw material for the next article.
Would love to hear how it lands for your team! 🙌🏻
Wow, this is how help desk should be redesigned AI-first, ground up. Love that it can build articles from customer quieries. Congrats @raj42 @rashjbp and the team!
@rashjbp @itzsuresh Thanks Suresh! That was exactly the bet. Most help center tools bolt AI onto a manual-first architecture. We started with AI as the foundation and built everything around it. Appreciate the love 🙏