Founding Agent: Voice AI for Websites with Fast Retrieval

Moss, a company focused on retrieval speed, built a voice AI agent for their own website to handle repetitive questions from visitors. The agent answers questions about pricing, integrations, implementation, and product capabilities — grounded in the company's website, documentation, FAQs, presentations, and internal knowledge. Responses happen in milliseconds. Visitors talk naturally, no forms or chat windows.
Problem and Approach
Most websites are static pages. Visitors who are interested but not ready to book a meeting click around or leave. Moss wanted retrieval that felt conversational — fast enough for real-time Q&A. They built a voice agent directly on their site. It uses Moss's retrieval infrastructure to pull answers from company content instantly.
Result and Productization
After going live, visitors started asking the same questions Moss founders answer daily — about infrastructure, integrations, pricing, etc. — but the agent answered them. This reduced repetitive work and led to better qualified conversations. Other companies asked if they could use it too. That's how Founding Agent was born.
Features
- Voice AI agent on your website, no forms or chat windows
- Trained on your company, products, documentation, FAQs, internal knowledge
- Millisecond responses via Moss's retrieval infrastructure
- Qualifies prospects and gives every visitor an immediate conversation
Early Access
Founding Agent is in early access. The agent is live on Moss's website — you can try it by asking anything. For teams interested in adding it to their own site, there's a waitlist.
📖 Read the full source: HN AI Agents
👀 See Also

Claude Code v2.1.170: Claude Fable 5 Model Access and VS Code Session Fix
Claude Code v2.1.170 adds Claude Fable 5, a Mythos-class model with unprecedented capabilities, and fixes session transcript saving in VS Code integrated terminal.

Automating Social Media with OpenClaw: Possibilities and Discussions
A discussion on Reddit explores the potential of automating social media tasks using OpenClaw.

GPT-5.5 on OpenClaw: Users Report 5-Hour Limit Burned in 3 Prompts, Broken Code
Reddit user reports GPT-5.5 on OpenClaw consumed 5-hour limit in 3 prompts, introduced bugs; DeepSeek V4 Pro fixed the mess.

Claude Code takes on QNX Big Kernel Lock removal, starting with userspace contention stats
A developer asked Claude Code to redesign QNX's microkernel to remove the Big Kernel Lock. Claude estimated 3 months for a top human developer, then began by designing /proc-like locking statistics and fixing kernel subsystems one by one.