Timeless - Agents built from your conversations
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Timeless is a platform where your conversations build your agents.
You say “let's follow up” in a conversation, and the follow-up meeting is already scheduled. “Let’s write this up,” and it’s drafted.
You meet with a client, a proposal is ready and the whole conversation is added to your client room, updated and ready to share with your team.
Timeless works across meetings, phone calls, and real-world moments. It hears the moment a task is born and makes it real.
Replies
Really like this action taking approach! I am curious about how is context maintained across multiple conversations that happen across platforms? Do the agents link conversations on the basis of shared participants / topics of discussion?
Product Hunt
Helply
looks great @tommy_bar_av1 . we're using fathom but this looks like a nice upgrade to go beyond 'meeting notes'.
Congrats on the launch! I like the framing of conversations as prompts and the focus on outputs rather than summaries. From a product perspective, how does Timeless decide which outputs to generate from a single conversation, especially when discussions are messy or exploratory, and how do you avoid over-producing tasks or docs that don’t actually need to exist?
Most meeting AIs hand you a summary and call it a day. The precision problem @andrei_romashkov mentions is real... you need the AI to understand which action belongs to whom, what counts as done, and how to nudge without spamming. Curious if Timeless tracks completion across channels or if it's still on users to close the loop.
The idea of a proposal being ready the moment a client meeting ends is a total dream for anyone in sales. I wonder how accurate the drafts actually are like, does it capture the specific tone of the conversation, or is it just a generic template that I’d have to rewrite anyway?
There is a problem point. After transcribing with this, the formed minutes have some deviations, but the recording function is still okay.
Perfect Recall
Awesome launch!! Congrats!
3:57 PM
Interesting concept. So it's listening constantly to trigger actions from natural language? How does it handle context when multiple tasks come up in one conversation, and what's the accuracy like on distinguishing actual requests from casual mentions?
This sounds like such a huge time-saver—auto-scheduling follow-ups when you say “let’s follow up,” drafting docs on the spot, and whipping up client proposals right after meetings? I’m so curious to try it out 🚀. Quick thought: it’d be awesome if we could customize the drafted content’s structure to match team-specific templates!