Clade
AI COO that runs your team in tools you already use
620 followers
AI COO that runs your team in tools you already use
620 followers
Clade is the AI Digital COO for software teams. It lives in Telegram, Slack and iMessage - learns your tone, knows your team, and runs the operational work (standups, follow-ups, decisions, accountability) while you stay focused on clients and delivery. What's different: every fact Clade learns is transparent - you see the source, the confidence, and can confirm or correct it. No black-box memory. Five trust levels, from observer to operator. Free in Telegram. 1 min setup.
This is the 2nd launch from Clade. View more
Clade
Launching today
Clade is your AI COO for teams. It lives in Telegram, Slack, and iMessage, so there's no new dashboard to babysit - you message it like a teammate. Clade chases status updates, keeps client and project work moving, drafts the follow-ups, and flags what's slipping before it becomes a fire. The web app is your cockpit when you want the full picture. Built for teams who'd rather ship than manage.
Free
Launch Team / Built With
Clade
Hey Product Hunt 👋 I'm Rahman, Co-Founder & CEO of Clade.
We first launched Clade on Telegram - an AI Digital COO that lives where you work, learns your team and clients, and runs the ops you keep forgetting: standups, follow-ups, the message you meant to send three days ago.
Then our users told us where they actually run their agencies. Not just Telegram. So today we're launching on iMessage, Slack, and a brand-new web cockpit. Same Clade, now everywhere you already work.
It learns your voice and drafts in your tone, catches the follow-ups that slip when you're juggling five deliveries at once, and runs your standups. No starting over every morning.
And nothing's hidden. Every fact Clade learns shows its source, its confidence, and a button to fix it. No black-box memory.
What you get free:
• iMessage, Slack, Telegram + new web cockpit
• Drafts in your voice, runs your standups
• Automations + unlimited memory
• Five trust levels, from watching to operating
Quick question for the founders here: which channel does your team actually live in? That's the one we built for.
I'll be here all day - tell me where this still falls short.
Try it: https://clade.sh 🙏
Clade
@rahman_bazarov_ Rahim here, the other half of Clade 👋
Rahman covered the what.
Let me add the part I lost the most sleep over: the memory.
The hard problem wasn't making Clade do the work. It was making people trust it enough to actually let it. Our first version remembered everything but people checked every output, so it saved them nothing. We almost shipped a fancy verification queue.
So we rebuilt it around trust, not recall.
Every fact carries a source and a confidence, and you can correct it in one tap. That single shift is what made people stop double-checking and start delegating.
Building this across iMessage, Slack, Telegram and web in one product was the hardest thing we've done. If anything feels rough, tell us, we're both here all day.
Clade
@rahimwws Proud to have built this with you. On to the next chapter 🚀
This is interesting. How does it avoid duplicate syncing when the same project runs across Slack and iMessage?
Clade
@dhiraj_patel5 Good question. The trick is that channels aren't separate stores, they're just different doors into one memory.
Slack and iMessage don't each hold their own copy of the project. They both read and write to the same underlying model of your team and work. So a project isn't "synced" between them, it just exists once and every channel points at it.
When the same fact arrives from two places, we dedupe on the entity, not the message. We resolve who and what it's about, check it against what's already there, and either confirm the existing fact or flag a conflict if they disagree. Same input twice doesn't create two records, it just raises confidence on the one that's there.
Transparent memory is a smart move. Most AI tools "remember," and you never know what they are actually storing.
Curious though, how do the five trust levels work in practice? Does "observer" watch, and "operator" take action?
Asking because for a COO-type tool, the line between helpful and intrusive is thin. 😅
Congrats on the launch.