Virtuans AI
Chatbots wait for people to click. Most visitors never do. So I built one that watches how you browse and offers help when you actually need it. How it works: 1. Tracks basic behavior: time on page, scroll depth 2. Detects patterns: "spending lots of time on pricing page” 3. Sends patterns to an LLM at the backend + gets a response 4. Shows helpful popup: "Want me to customize the plan for your needs?" 4. Leads to full conversation if they engage (meeting booked eventually…) Example: Someone reads pricing for 15 seconds → AI offers to help pick the right plan. Results we have seen so far: 3x…
Virtuans AI launched on May 27, 2025 with 105 votes, #451 of 7,905 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Poor lead engagement is the #1 profit killer for growing businesses. But Virtuans AI agents instantly engage every lead like a human - 24/7 on WhatsApp. They qualify, book meetings, update CRM & follow up automatically so you ever lose another lead.
Deploy AI voice and chat agents that automate inbound inquiries, qualify leads, and book meetings 24/7. Connect with WhatsApp, voice calls, and meta channels simultaneously. Live in 48 hours.
Deploy voice & chat AI agents that respond, qualify leads, book meetings, and follow-up 24/7 so you can generate more sales. Your AI Workers manage communication across multiple channels and automatically answers questions within seconds — even after hours. Answers calls 24/7 with no hold time and can even make outbound calls. Reaches out via WhatsApp, making communications easy, even on-the-go. Manages inboxes, responds to incoming messages and can handle following up. Responds to requests from prospects and residents right from your website. AtlasCRM centralizes calls, texts, WhatsApp, and all lead interactions with detailed records in one place; built for salespeople to streamline tasks…from virtuans.ai
In the maker’s words, at launch
Chatbots wait for people to click. Most visitors never do. So I built one that watches how you browse and offers help when you actually need it. How it works: 1. Tracks basic behavior: time on page, scroll depth 2. Detects patterns: "spending lots of time on pricing page” 3. Sends patterns to an LLM at the backend +…
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