The coordination layer for teams where people and agents work side by side.
Joined February 2017
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We're live on @ProductHunt today 🚀
Deep Work Plan keeps coding agents from drifting on long tasks. The plan lives in your repo, so an agent can run for hours, resume after a reset, and you can verify what it actually did.
Free + MIT. Your feedback helps 👇
producthunt.com/products/dee…
Still scheduling meetings manually?
Tell Dailybot when and with whom to meet, right from your chat or terminal. 📅
Less back-and-forth. More time to get things done.
Your calendar is packed. Your standup reminder doesn’t have to make it worse.
Aligns check-ins with your Google Calendar, helping your team share updates without interrupting meetings or focus time.
Less interruption. Better timing. 📅
Back-to-back meetings leave little room to actually get work done.
With Google Calendar context, Dailybot can help identify overloaded days and adapt check-ins to protect focus time.
Because being busy isn’t the same as making progress. 🧠
Too many forms, check-ins, and automations to keep track of?
Use Labels in Dailybot to organize everything by team or domain, for example: Engineering, Sales, People, Ops, and more.
Less searching, more organizing. 🏷️
Feedback shouldn't disappear in a conversation.
Collect it, keep it visible, and turn what people say into something you can act on
"How’s it going?” shouldn't require five Slack messages.
Get clear status updates without chasing people for them.
Everyone has a plan, but not everyone can see it.
Bring your priorities together in one place and make coordinating the week easier.
Good ideas shouldn't get lost in the scroll.
Capture them when they happen and give your team a place to act on them.
A blocker is only useful when the team knows about it.
Surface what's getting in the way before it slows everyone down.
AI agents are moving from “cool demos” to actual teammates.
Nvidia is now building safety rails for agents at the hardware level. That says a lot about where work is going: more agents, more autonomy, more need for clear reporting. At Dailybot, we think the future standup includes humans + agents
Every product has a story. Ours started with a simple problem:
How do you keep a team in sync?
Years later, the way we work has completely changed, so we changed too.
This is the story of how Dailybot evolved. ✍️
AI agents can already make purchases for you, but when a platform blocks the bot...
Is it blocking the user or the agent?
What happened with Amazon makes it clear that the challenge isn't simply about getting agents to do more.
It’s about coordinating humans and agents within the same workflow. That is precisely the problem we are addressing at Dailybot.
Blank check-ins are where teams invent five vague questions and wonder why answers are useless.
Dailybot CLI can pull check-in templates so you start from something known-good, then edit for your team.
dailybot.com/developers/api/…
