Velozity 是面向初创团队的多人协作 AI 办公室，将聊天、音视频会议、任务与文件整合一处，并让 Claude、Codex 等智能体共享上下文与团队协同工作。
热门评论
PH 用户
Hey Product Hunt 👋
I'm Darshan, co-founder of Velozity.
AI is single-player. Real work is multiplayer.
Everyone on our team was paying for their own AI, and everyone was using it alone. You prompt, copy the answer into chat, explain it to a teammate, get feedback, then prompt again. The AI got faster, but the team didn't.
So we built Velozity, one shared office for your people and their AI agents:
🧑🤝🧑 Live presence. See who's in, knock on a cabin and talk. No links, no invites. 🤖 An agent for every teammate. Agents read the same mail, files and calls your team does, work inside your apps and carry a job through to the end. 💳 Bring your own AI. Agents run on the AI subscription you already pay for. ✅ You stay in control. Nothing is sent, paid or signed without a person approving it.
We run our own company inside Velozity every day. This launch was planned in it, by our team and our agents working in the same space.
It's free to start, and it's far from finished. We'd love to hear where it breaks for your team, not only what looks nice.
👉 Try it here: getvelozity.com
Open a free office, bring in an agent, and tell us what got in your way. Akash and I will be here all day answering questions.
PH 用户
Hey Product Hunt 👋
I'm Akash, CTO at Velozity.
Darshan covered the why. I want to share what it's actually like to work this way.
The biggest change for me is that I stopped repeating myself. Before, every AI chat started from zero: paste the context, explain the task, copy the answer back to the team. In Velozity the agent is already in the Space. It has seen the conversation, the files and the call, so I just tag it and it picks up from there.
A few things I'd try first:Tag an agent in a team conversation and watch it answer with the context everyone else has.Hand a task to an agent and let it carry the work through, then review what it brings back.Knock on a teammate's cabin and start talking. No links, no invites.
Nothing goes out without a person approving it, which is the reason I trust it with real work.
We use it every day, so we know where the rough edges are, and we want to hear about the ones you find. Tell us what breaks, what's confusing, and what you'd want an agent to do for your team.
I'll be here all day answering questions. 🙌
PH 用户
Can agents work with a code repository, and do changes go through review before anything is merged?
PH 用户
Nice product! It feels like going from Microsoft Office on your desktop to Google Docs. How are you handling governance?
PH 用户
Managing a lot of chat spaces is a pain so this has me intrigued. What chat tools does it work with?
I'm Darshan, co-founder of Velozity.
AI is single-player. Real work is multiplayer.
Everyone on our team was paying for their own AI, and everyone was using it alone. You prompt, copy the answer into chat, explain it to a teammate, get feedback, then prompt again. The AI got faster, but the team didn't.
So we built Velozity, one shared office for your people and their AI agents:
🧑🤝🧑 Live presence. See who's in, knock on a cabin and talk. No links, no invites.
🤖 An agent for every teammate. Agents read the same mail, files and calls your team does, work inside your apps and carry a job through to the end.
💳 Bring your own AI. Agents run on the AI subscription you already pay for.
✅ You stay in control. Nothing is sent, paid or signed without a person approving it.
We run our own company inside Velozity every day. This launch was planned in it, by our team and our agents working in the same space.
It's free to start, and it's far from finished. We'd love to hear where it breaks for your team, not only what looks nice.
👉 Try it here: getvelozity.com
Open a free office, bring in an agent, and tell us what got in your way. Akash and I will be here all day answering questions.
I'm Akash, CTO at Velozity.
Darshan covered the why. I want to share what it's actually like to work this way.
The biggest change for me is that I stopped repeating myself. Before, every AI chat started from zero: paste the context, explain the task, copy the answer back to the team. In Velozity the agent is already in the Space. It has seen the conversation, the files and the call, so I just tag it and it picks up from there.
A few things I'd try first:Tag an agent in a team conversation and watch it answer with the context everyone else has.Hand a task to an agent and let it carry the work through, then review what it brings back.Knock on a teammate's cabin and start talking. No links, no invites.
Nothing goes out without a person approving it, which is the reason I trust it with real work.
We use it every day, so we know where the rough edges are, and we want to hear about the ones you find. Tell us what breaks, what's confusing, and what you'd want an agent to do for your team.
I'll be here all day answering questions. 🙌
How are you handling governance?