Launching today
Velozity
The workspace where your team and AI agents work together
537 followers
The workspace where your team and AI agents work together
537 followers
Your team chats in one app, meets in another, and every AI works alone. Velozity brings it all into one place. Chat, audio and video calls with transcripts, tasks, calendar and files, plus AI agents (Claude, Codex, etc.) on the subscriptions you already pay for. Every agent shares the same context, so work moves between people and agents without having to re-explain. For startups, teams in dev, product, sales, and ops, or solo users juggling several AIs. No second AI bill. Free to start.
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.
@ishudarshan Love the "AI is single-player, real work is multiplayer" line. The approval part is what I'd look at first, honestly. In my own support, AI drafts the reply and I check it and send it myself, which is how everyone gets an answer within a day. So nothing leaving the Space without a person saying yes makes a lot of sense to me.
@hisashispace Thank you, Hisashi. You've described exactly the model we built around: the AI drafts, and a person decides what goes out. Your support workflow is a great example of why that works. People get fast answers, and nobody receives something a human hasn't read. In Velozity, the same rule applies to anything leaving the Space, so the speed never comes at the cost of trust. If you try it for your support replies, I'd love to hear how it compares with your current setup.
@ishudarshan Hey, congrats. Could you explain how the approval stage works?
@swati_paliwal Thanks, Swati! It works in three steps:
The agent prepares the work, for example, an email or a message, and puts it in the space as a draft. Nothing has gone out yet.
The person the agent is working for reads the draft. They can approve it, ask for changes, or reject it.
Only after that person approves does it get sent.
The rest of the team can see the draft too, so nothing happens behind anyone's back. And if the draft changes after approval, it needs to be approved again.
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. 🙌
Can agents work with a code repository, and do changes go through review before anything is merged?
@anoushkavk
Yes, agents can make changes in the repo, raise a PR, and have those changes go through your normal review approval process before anything is merged.
You can also set up routines to run these agents on a recurring basis for ongoing tasks.
Does it show how work is spread across the team, so managers can spot who is overloaded?
@yagya_bainola Partly, yes. Tasks are assigned by person, so you can see who is holding what; admins get a team activity dashboard on Pro, and you can ask an agent who has the most open tasks. A dedicated view that flags overload automatically isn't there yet, so I'd love to hear how you'd want it to work.
shared context sounds useful, but not every teammate should see the same files. do agents inherit each person's access, or does adding a file to a space make it available to every agent there?
@jeetendra_kumar2 Good question, and the honest answer is "both, depending on what kind of data".
A file added to a space belongs to that space. Everyone in the space can open it, and any agent working in that space can read it. There are no per-file permissions inside a space today.
The space is the boundary. An agent sees only the files in the space it is working in. It cannot reach into another space's files, and a private space is limited to the people added to it.
Personal data follows the person. Your connected email, calendar, and meeting notes are read-only by your own agents, never by a teammate's. Files you attach in your private assistant chat stay private too.
Agents never widen anyone's access. Each agent runs only for its owner, and only in spaces that owner already belongs to.
So the practical rule: put a file in a space only if everyone there should see it, and use a smaller private space for anything sensitive.
How does the approval step work? If an agent drafts an email, who gets to say yes before it goes out?
@pankajsinghh1318 Great question, Pankaj. The agent prepares the email and brings it back to the team as a draft; nothing goes out until someone approves it. That person is someone on your team, usually whoever asked the agent to do the work, and it's visible to the rest of the Space too. So the agent does the writing and follow-up, and a human decides what leaves the workspace. Is there a particular kind of approval you're thinking about, such as emails, payments, or sign-offs?
@pankajsinghh1318 Adding the builder's side to what Ishu said, Pankaj. We designed approval around one idea: an agent can prepare anything, but a person decides what actually leaves the workspace. So for an email, the agent drafts it, the team can see the draft in the shared Space, and it only goes out once someone approves. The same goes for anything that gets paid or signed. I'd rather the agent be a fast, tireless teammate that still asks before acting on your behalf. If you have a workflow in mind where you'd want a different kind of approval, tell me. That's exactly the kind of feedback we're collecting today.
Nice product! It feels like going from Microsoft Office on your desktop to Google Docs.
How are you handling governance?
@ilyasb Thanks, Ilyas, and great comparison. Governance was our starting point, not an add-on. The main rule is that a person approves anything that leaves the workspace, so agents can draft and prepare, but nothing is sent, paid, or signed without someone on the team saying yes. Agents also work in the same shared Spaces as your people, so what they do is visible to the whole team instead of happening out of sight. And they run on the AI plans your team already pays for. What should governance look like for your team? I'd like to hear what matters most to you.