返回 2026-09-25 编辑版
发现与解读中文优先 · EN 原文AI 创业公司

Y Combinator 发布:Vapi 语音 Agent 平台年处理约十亿通电话

Vapi (@Vapi_AI) 是用于构建和部署语音 AI 代理的平台。它目前为包括亚马逊、优步和Intuit在内的公司提供每年约十亿次呼叫,帮助企业通过 AI 自动化电话呼叫。 语音正在成为企业与客户之间的默认界面,但让代理达到生产环境所需的可靠性仍然比看起来困难得多。 在本期《创始人炉边谈》中,联合创始人@jordan_dearsley和@nikhilro_与@gustaf坐下来分享了产品市场契合的漫长路径,从超过十几次的转型,到打造一款AI治疗师,这款产品最终成为 Vapi 的基础。他们解释了为什么语音是第一个感觉不可避免的想法,以及在技术尚未准备好时坚持这种信念最终如何获得回报。 00:05 — 支持每年十亿次通话 02:12 — 为什么语音AI突然开始奏效 04:57 — 超过十几次的转型 09:08 — 从日历应用到AI笔记记录工具 13:23 — 在旧金山重新开始 14:14 — 成为 Vapi 的AI治疗师 17:56 — 发现 PMF 22:47 — 为什么模型实验室不会取代 Vapi 26:49 — 语音的未来 AI

查看英文原文

Vapi (@Vapi_AI) is the platform for building and deploying voice AI agents. It now serves about a billion calls a year for companies including Amazon, Uber, and Intuit, helping businesses automate phone calls with AI. Voice is becoming the default interface between businesses and their customers, but getting agents reliable enough for production is still much harder than it looks. In this episode of Founder Firesides, co-founders @jordan_dearsley and @nikhilro_ sit down with @gustaf to share the long path to product-market fit, from pivoting more than a dozen times to building an AI therapist that eventually became the foundation for Vapi. They explain why voice was the first idea that felt inevitable, and how sticking with that conviction before the technology was ready eventually paid off. 00:05 — Powering a billion calls a year 02:12 — Why voice AI suddenly started working 04:57 — More than a dozen pivots 09:08 — From calendar app to AI note taker 13:23 — Starting over in San Francisco 14:14 — The AI therapist that became Vapi 17:56 — Finding PMF 22:47 — Why the model labs won’t replace Vapi 26:49 — The future of voice AI

Vapi (@Vapi_AI) is the platform for building and deploying voice AI agents. It now serves about a billion calls a year for companies including Amazon, Uber, and Intuit, helping businesses automate phone calls with AI. Voice is becoming the default interface between businesses and their customers, but getting agents reliable enough for production is still much harder than it looks. In this episode of Founder Firesides, co-founders @jordan_dearsley and @nikhilro_ sit down with @gustaf to share the long path to product-market fit, from pivoting more than a dozen times to building an AI therapist that eventually became the foundation for Vapi. They explain why voice was the first idea that felt inevitable, and how sticking with that conviction before the technology was ready eventually paid off. 00:05 — Powering a billion calls a year 02:12 — Why voice AI suddenly started working 04:57 — More than a dozen pivots 09:08 — From calendar app to AI note taker 13:23 — Starting over in San Francisco 14:14 — The AI therapist that became Vapi 17:56 — Finding PMF 22:47 — Why the model labs won’t replace Vapi 26:49 — The future of voice AI

企业 Agent 开始用呼叫量、政府合同、融资与单位成本证明采用

为什么值得看

市场信号开始从演示转向高频调用、公共部门采购、资本投入和单位经济性,但这些数字仍需要区分合同总额、公司收入、实际使用和效率口径。

最强反方

四组数字都来自公司或其直接传播网络;合同上限不等于 Knowtex 已确认收入,呼叫量不等于付费留存,ARR、毛利和效率也未获独立审计。

原始出现与传播对照

1 条出现 · 本次 AIHOT 未精确命中

发现与解读

Vapi (@Vapi_AI) 是用于构建和部署语音 AI 代理的平台。

Vapi (@Vapi_AI) 是用于构建和部署语音 AI 代理的平台。它目前为包括亚马逊、优步和Intuit在内的公司提供每年约十亿次呼叫,帮助企业通过 AI 自动化电话呼叫。 语音正在成为企业与客户之间的默认界面,但让代理达到生产环境所需的可靠性仍然比看起来困难得多。 在本期《创始人炉边谈》中,联合创始人@jordan_dearsley和@nikhilro_与@gustaf坐下来分享了产品市场契合的漫长路径,从超过十几次的转型,到打造一款AI治疗师,这款产品最终成为 Vapi 的基础。他们解释了为什么语音是第一个感觉不可避免的想法,以及在技术尚未准备好时坚持这种信念最终如何获得回报。

查看英文原文

Vapi (@Vapi_AI) is the platform for building and deploying voice AI agents. It now serves about a billion calls a year for companies including Amazon, Uber, and Intuit, helping businesses automate phone calls with AI. Voice is becoming the default interface between businesses and their customers, but getting agents reliable enough for production is still much harder than it looks. In this episode of Founder Firesides, co-founders @jordan_dearsley and @nikhilro_ sit down with @gustaf to share the long path to product-market fit, from pivoting more than a dozen times to building an AI therapist that eventually became the foundation for Vapi. They explain why voice was the first idea that felt inevitable, and how sticking with that conviction before the technology was ready eventually paid off. 00:05 — Powering a billion calls a year 02:12 — Why voice AI suddenly started working 04:57 — More than a dozen pivots 09:08 — From calendar app to AI note taker 13:23 — Starting over in San Francisco 14:14 — The AI therapist that became Vapi 17:56 — Finding PMF 22:47 — Why the model labs won’t replace Vapi 26:49 — The future of voice AI

Vapi (@Vapi_AI) is the platform for building and deploying voice AI agents. It now serves about a billion calls a year for companies including Amazon, Uber, and Intuit, helping businesses automate phone calls with AI. Voice is becoming the default interface between businesses and their customers, but getting agents reliable enough for production is still much harder than it looks. In this episode of Founder Firesides, co-founders @jordan_dearsley and @nikhilro_ sit down with @gustaf to share the long path to product-market fit, from pivoting more than a dozen times to building an AI therapist that eventually became the foundation for Vapi. They explain why voice was the first idea that felt inevitable, and how sticking with that conviction before the technology was ready eventually paid off. 00:05 — Powering a billion calls a year 02:12 — Why voice AI suddenly started working 04:57 — More than a dozen pivots 09:08 — From calendar app to AI note taker 13:23 — Starting over in San Francisco 14:14 — The AI therapist that became Vapi 17:56 — Finding PMF 22:47 — Why the model labs won’t replace Vapi 26:49 — The future of voice AI

直接发布标题Y Combinator@ycombinator打开该层出处 ↗

Vapi (@Vapi_AI) is the platform for building and deploying voice AI agents. It now serves about a billion calls a year for companies including Amazon, Uber, and Intuit, helping businesses automate phone calls with AI. Voice is becoming the default interface between businesses and their customers, but getting agents reliable enough for production is still much harder than it looks. In this episode of Founder Firesides, co-founders @jordan_dearsley and @nikhilro_ sit down with @gustaf to share the long path to product-market fit, from pivoting more than a dozen times to building an AI therapist that eventually became the foundation for Vapi. They explain why voice was the first idea that felt inevitable, and how sticking with that conviction before the technology was ready eventually paid off. 00:05 — Powering a billion calls a year 02:12 — Why voice AI suddenly started working 04:57 — More than a dozen pivots 09:08 — From calendar app to AI note taker 13:23 — Starting over in San Francisco 14:14 — The AI therapist that became Vapi 17:56 — Finding PMF 22:47 — Why the model labs won’t replace Vapi 26:49 — The future of voice AI

来源
X @ycombinator · x-ycombinator
证据角色
x_project_network
时间状态
known
用户判决
未判
查看该来源原文raw/x-ycombinator.jsondb2572b8d88a930832f192e84d0af1483743f1319dc62f5842950503c1e3ebcd
Cluster IDevt_7bda223e672f28bbc7ac292e精确去重依据canonical_url事件状态未判