Enjo Help Center
AI auto-builds your help centers that learn from your team
Enjo Help Center launched on May 14, 2026 with 87 votes, #401 of 20,538 launches that month and more than 95% of that year's launches.
What it does
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.
Deploy an AI support agent that resolves repetitive tickets safely, escalates the rest with full context, and includes a free inbox and help center with unlimited seats. No credit card required.
Point Enjo at your website, your docs or your ticket history and it writes the articles. Readers get an answer with the source cited, not ten blue links. Your domain, your branding, 100+ languages. No credit card. 200 AI replies every month. Unlimited agent seats. The content already exists. It is on your site, in your docs, and in three years of resolved tickets. Give it a URL. Enjo crawls the site and you select which pages become articles. Generate from Notion, Google Drive, Confluence or SharePoint. Confluence import filters by space, page or a CQL query. Generate from recurring ticket patterns in Zendesk, Intercom and Freshdesk, so the questions you keep getting become the articles…from enjo.ai
Does a similar job
all alternatives →



Frontdesk AIMay 2026 · myaifrontdesk.com · ▲234AI COO to run your business like a Fortune 500 enterprise

More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art

PixVerse R2▲381A real-time world model you can explore and change
AI · 28d ago · world.pixverse.video
Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com