Most AI tools are built for one person and one assistant. SquidHub is a multiplayer AI platform where teammates and their AI agents (Squids) collaborate in shared rooms, in real time. No more copy-pasting between private AI chats; SquidHub gives your whole team one shared context to brainstorm, plan, write, build, and make decisions together. Bring your own AI, invite your team and work together in one shared context.
Hey hunters 👋
We built SquidHub because every AI tool we used felt strangely lonely. It's always one person, one chat window, one assistant that forgets the room the moment someone else walks in.
But real work isn't 1:1. It's a group of people in a room, thinking out loud. So we made a place where your AI agents — squids — live in that room with you and your teammates, instead of in a private tab nobody else can see.
We'd genuinely love to hear where it breaks for you. What would your team actually use a room of squids for? Tear it apart in the comments 🦑
multiplayer rooms for humans + squids is a fun take 👏 shared context is the real bottleneck rn
The permission model you described is the most underrated design decision here, a Squid acts with its owner's permissions, not those of whoever's talking to it, so pulling a teammate's Squid into a room gets you its help, not its access.
That's a genuinely hard call to make. Most multi-agent frameworks (like AutoGen or CrewAI) sidestep this entirely by running agents under a single service account, which is fine for demos but a nightmare for real orgs where someone in sales shouldn't be inheriting engineering's database connector just because they invited a Squid.
The thing I'd push on: what happens during async handoffs? If a Squid kicks off a long-running task in a room and its owner goes offline, does the task continue under cached permissions, pause, or fail? That edge case matters a lot for teams using this across time zones and it's the exact scenario where permission inheritance models either earn trust or destroy it.
The framing around AI tools feeling lonely is a good insight. Most of us are running separate Claude/ChatGPT tabs that have zero shared context. Shared rooms with persistent agents is a natural next step. Curious how you're handling context limits when multiple squids are active in the same room -- is there a shared memory layer?
Cool idea and good luck with the launch! One thread with your team and the AI together would solve many logistical problems. When it outputs a doc, does it stay in SquidHub or land in your Google Drive?
Congrats on the launch! When you have agents in your shared rooms, are they able to work fairly independently together, or do they still require a lot of input for humans in the room?
Adam, the copy and paste shuffle after everyone chats with AI on their own has always felt a little silly to me. Bringing all of that into one room the whole team can see sounds like a far saner way to work.
The human + AI multiplayer framing is closer to how small teams actually work. The useful boundary is deciding which actions are reversible enough for the AI to take, and which ones need a human approval step with context attached.
Congrats on the launch! Really like the shared workspace idea. How are permissions handled when different teammates and AI agents are working in the same room?
Congrats on the launch! 🚀
I really like the idea of moving from isolated AI chats to a shared workspace where both people and AI agents collaborate.
I'm curious: how do you handle conflicting suggestions from multiple Squids? Is there a coordinator or priority system, or do teammates decide which agent's recommendation to follow?
Congrats on the launch! I'm curious, how are you currently handling agents behaviour? Are they proactive? Do they have proper turn-taking?
Adam, congrats on the launch! The 1:1 AI silo is a massive bottleneck. Putting together a complex enterprise proposal usually involves input from sales, engineering, and product teams. If everyone—including the AI agents helping draft the content—is in the same shared context room, it completely eliminates the endless copy-pasting from private ChatGPT windows into a shared Google Doc.
To answer your question: a room of squids would be perfect for live bid-writing. Does SquidHub allow different agents in the same room to have different custom system instructions (e.g., one squid acting as a technical architect, another as a copy editor)?
About SquidHub on Product Hunt
“Multiplayer mode for humans and AI”
SquidHub launched on Product Hunt on June 26th, 2026 and earned 123 upvotes and 19 comments, placing #8 on the daily leaderboard. Most AI tools are built for one person and one assistant. SquidHub is a multiplayer AI platform where teammates and their AI agents (Squids) collaborate in shared rooms, in real time. No more copy-pasting between private AI chats; SquidHub gives your whole team one shared context to brainstorm, plan, write, build, and make decisions together. Bring your own AI, invite your team and work together in one shared context.
SquidHub was featured in Productivity (654.8k followers), Artificial Intelligence (472k followers) and Business (8k followers) on Product Hunt. Together, these topics include over 250.6k products, making this a competitive space to launch in.
Who hunted SquidHub?
SquidHub was hunted by Adam Khadzhimuradov. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how SquidHub stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Adam Khadzhimuradov