Velozity - The Multiplayer AI Office where your team and agents work
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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.
Replies
What apps in my stack are you replacing? How can a new user manage that friction ?
@bengeekly Great question. Here's what Velozity takes over in a typical stack:
Team chat and video calls: one shared workspace with built-in conferencing.
Meeting notes (Fireflies, Granola): transcription and AI notes on every call.
Task tracking (ClickUp, Jira, Notion): tasks created for you from your meetings and chats.
Scheduling (Calendly, Reclaim): a built-in calendar.
AI assistants and automations (Lindy, Notion AI, Zapier plus agents): an AI coworker that picks up the work.
On friction: you don't have to switch everything on day one. Your existing apps connect to Velozity, so your agents can read and act in them while you move over at your own pace. Most teams start with one thing, usually meetings turning into tasks, and let the rest follow.
It's free to start, no card needed. What's in your stack today? Happy to tell you where we'd fit and where we wouldn't.
@bengeekly
Adding to what Ishu said: the simplest way in is to keep your current tools as they are and run just your meetings through Velozity for a week. The notes and tasks show up on their own, so there is nothing to migrate and nothing to unlearn. If it earns its place, you retire the old apps one at a time, when you are ready.
How long does it take a team of ten to get set up and see value in the first week?
@suryasnigdha_ghosh1 Setup is short: each person signs up, joins the workspace, and gets a working assistant straight away, with no configuration.
Connecting a calendar or email takes a couple of minutes and is what makes the daily briefs and meeting prep useful. Custom agents take longer because each person brings their own Claude or ChatGPT subscription.
Most teams see the first value from meeting prep and task capture, then add agents for specific jobs.
Can different people on the same team use different AI subscriptions?
@ronak_pandya1 Yes
@ronak_pandya1 Each agent is set up on its own, and whoever owns it picks which AI tool it uses and signs in with their own account. So one teammate can run their agent on one provider's subscription while another uses a different one. Any usage or limits count against the subscription that agent is signed in to, not a shared team plan.
Can agents look inside code repository, and make presentation of product or demo videos based on the features and functions of the product for launches and sales?
@varidhi1 Yes, and this is honestly one of the best superpowers of the platform right now.
You can connect a code repository to a space, and the agents in that space read the actual code. So they work from what the product really does, not from a brief someone wrote months ago.
For launches and sales, that means you can ask an agent to go through the repo and come back with a feature-by-feature product presentation, a launch one-pager, sales talking points, or a demo script with the exact flow to show. It hands the result back as a file your team can open and edit together in the same space.
For demo videos, the agent gives you the script, storyboard, and walkthrough of what to record, all tied to real features. You still own the recording and final edit for now.
Happy to show you this on your own repo if you want to try it.
Does it work for calls and meetings too, or mainly chat?
@priyam_aryan Thanks for asking, Priyam. Both! Calls, meetings, and chat live in the same space, and your team and AI agents can act on what was agreed on a call.
@priyam_aryan
Thanks Priyam! It works for calls and meetings too, not just chat. Velozity has audio calls and video meeting rooms built in, and calls can be transcribed so your agents can work from what was actually said. From there they can prep you before a meeting, pull out tasks and draft the follow-ups afterwards, all alongside your chat and calendar.
Do the agents work while we're offline, and where do I see the results the next morning?
@preetam6 Great question, Preetam. Yes, they can. It depends on where the agent runs: on your own computer, it works while your device is on and the app is open, and on a cloud computer, it keeps going while you're offline.
For overnight work, you set it up as a routine (daily, weekly, or one-time). The results post in the same shared space where the routine lives, so in the morning you open that space, and the work is waiting in the conversation for your team to review. There's also a morning brief that sums up what happened.
Anything that needs to go out, like an email, waits for someone to approve it.
@preetam6
Great question, Preetam.
Yes, you can set an agent up with a routine (a scheduled job), and if that agent runs on a cloud computer it keeps working while your laptop is closed. An agent placed on your own device only runs while that device is on and the app is open.
Next morning, the results are waiting in the Space where you set the routine up, posted right in the conversation. You can also ask your Chief of Staff what your agents did overnight for a quick catch-up across all your Spaces.
What's the first thing you'd hand to an AI agent in a shared space with your team?
@23abhirupbasu The follow-through after a call. Every team meeting ends with "I'll send the notes" and "someone should own that", and half of it quietly dies.
That's the first thing I'd hand over: the agent reads the call, turns decisions into tasks with owners, drafts the follow-up email, and posts it where the whole team can see it.
It's a good first job because it's low risk and easy to check. Everyone was in the room, so they could tell at a glance whether the agent got it right, and nothing goes out without a human approving it. Once the team trusts it there, handing over bigger work gets a lot easier.
@23abhirupbasu
The follow-through after a team call. In a shared Space the agent already has the transcript, the files and the conversation, so it can pull out the tasks, assign them to the right people and draft the follow-up, with nothing going out until someone approves it. It's the work everyone agrees matters and nobody wants to own, and it's low risk, which makes it a good first thing to trust an agent with. After that, the natural next step is a morning catch-up on what moved in the Space overnight.
This looks cool! Congrats
@louislecat Thank you so much, Louis! Please give it a spin. I'd be happy to give you three months of Pro on us. Just sign up and drop me a note here, and I'll switch it on. Would love to hear what you think once you've tried it with your team.
@louislecat
Thanks Louis, means a lot coming from a fellow maker. Ishu's offer stands, and if you do try it with the Upstream team, the quickest way to see the point is to run one real meeting through it and watch the follow-ups turn into tasks. Honest feedback welcome, including what did not land.
Setting it up was straightforward, and I didn't need to change the AI subscription I already use.
@surendra_meena1 Thank you, Surendra! That's exactly how we wanted it to feel: quick to set up and no second AI bill, since your agents run on the subscription you already have. What's the first thing you've handed to an agent?
@surendra_meena1
Glad the setup felt easy, Surendra! Bringing your own AI subscription was one of our earliest decisions: you keep the tool you already trust, and Velozity gives it a team, shared context and a place to work. If you haven't picked a first task yet, a good one is the follow-up after a team call. It's low risk and you see the value the same day.
The part I like is that agents sit alongside my teammates, so I don't have to move work between tools by hand.
@shreya_verma12 Thank you, Shreya! That's the part we care about most. Moving work between tools by hand is a hidden tax on every team, and it disappears once agents sit in the same place as your teammates. Which handoff has saved you the most time so far?
@shreya_verma12 Adding to Ishu's note: the reason it works is that the agent already has the context your teammates have, so there is nothing to copy over or explain again. A decision made in a call is already where the agent picks up the task. Curious which hand-off you would like us to make smoother next.