Viktor.comAn AI coworker that actually does the work
Launched this week
Offloop is a shared workspace where teammates and AI agents plan, execute, and track multi-step work together. Channels keep conversations and decisions visible to the whole team. Flow gives every stage a clear owner and brings people in for key decisions, so work keeps moving across handoffs instead of restarting in a new AI chat. Offloop officially launches on August 24.
Readever
Hi Product Hunt 👋 We’re the team behind Offloop. AI made individuals faster, but team progress still breaks at the organizational layer. We built Offloop to turn useful AI results into team progress.
For small AI-native teams, that means:
1）A workspace built for people and Agents. Both are first-class participants: they share Channels, can be @ mentioned, own work, review results, and hand off to the next owner.
2）An org-level harness. Context, files, decisions, tool activity, and artifacts stay attached to the work. Owners, approvals, and next steps remain durable and traceable.
3）Privacy and human control. Workspace-scoped identity, exact access grants, isolated runs, approval gates, and revocable connections govern what each Agent may see and do.
4）Bring your own subscription and choose the right model. Connect a supported model account with no Offloop model-usage markup on BYOP runs, then set a workspace default or choose a different model for a specific Agent.
5）Reusable execution. Turn successful Agents and Flows into repeatable operating capacity across retries, waits, schedules, and handoffs—not just one prompt at a time.
Offloop is live on the web today. Create a workspace, invite your teammates, and your whole team gets free AI credits for the first 30 days.
If AI already helps individuals on your team, what still breaks when their work needs to become team progress?
Wizstar
Congrats on today’s launch! Can you walk us through a real Offloop workflow from request to handoff? Curious how you’d explain this to a new team.
Readever
@starry_li Thanks! A simple example is a product launch workflow.
A growth lead opens a shared Channel, adds the brief and files, then @ mentions a Research Agent to analyze customer feedback. The Agent works from that shared context and posts its findings back into the Channel.
CrePal
Congrats on the Product Hunt launch! What kind of team will get the most value from Offloop on day one? I’d be interested to hear how this works in practice.
Readever
@jackyliu Thank you! The best day-one fit is a small, AI-native team that already uses tools like ChatGPT or Claude individually, but still relies on copy-pasting results into Slack, docs, or project tools before anyone else can continue the work.
Brew
Congrats on the launch, Offloop team! Does Offloop replace the tools a team already uses, or work alongside them? Which existing tool does Offloop most often sit next to? Would love to hear the maker team’s take
Congrats, team! Can one Agent pass work to another, or does a person need to step in? How much autonomy do Agents have to make that handoff on their own today? I'd love to understand the tradeoffs here.
TruGen AI
Congratulations on the launch!!
Can an Agent see everything in the workspace, or only what it’s been given access to? Who decides or changes that access? I’d love to understand the tradeoffs here.
LiveDemo
Congrats on today’s launch!
If I already pay for an AI subscription, how does bringing it into Offloop work?
Do I keep paying the provider directly, and what does Offloop charge separately?