Chris Messina

Meet-Ting - AI that gives your schedule a brain.

Ting gives your schedule a brain, so it can make decisions for you. It’s an AI availability agent that manages your calendar over email and text. You set your goals and preferences, and Ting learns your patterns every time you CC or message it, building AI intuition over time. Delegate Ting to plan meetings with up to five guests, handling booking, rescheduling, pre-call briefs, and no-shows. Each week, Ting proactively checks in to help align your calendar with what you want to achieve.

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Dan Scalco

I've been using Ting for a bit now and the biggest difference for me is how much less I think about my calendar in general.

Before, it felt like I was constantly doing tiny bits of admin, figuring out when I'm free, replying to back and forth emails, remembering to follow up, chasing no-shows, etc. Ting takes all that off my plate.

@dbul built a really amazing product here.

Dan Bulteel

@danscalco Adding this to the 'comments that made us cry' hall of fame. Thank you so much for writing this up sir. Appreciate it.

Mariana Prazeres

@dbul  @danscalco awesome to hear! Sounds like it really made a difference

Curious Kitty
Trust is the make-or-break factor for an agent that emails on your behalf: what safeguards did you design first (approval modes, tone controls, escalation rules, “when to stop following up”), and how do you help users build confidence without micromanaging every message?
Dan Bulteel

@curiouskitty It's not easy, our earliest users got the worst of Ting because it's so nuanced, and we're still fine-tuning. For example, you can tell the difference between an entry level EA and one who is a 20 year veteran and it's like that with Ting. It started very junior, over-eager on follow ups, no sense of social norms and hierarchy, and is slowly getting better at knowing when to also just not saying anything if dormant in a thread and not needed. We pushed out early and free to drive usage and with that usage learnt a lot. I don't think we'll ever stop learning, but we see Ting getting used more and in higher stake contexts like investor intros and job interviews, so we feel we're on the right path. There's some similar tech that has HITL in each stage, but our decision to go fully autonomous means we need to work harder and hopefully have patient users!

Rui Cheng

Calendly is great, but email threads are messy in real life. This feels like a much more natural way to handle scheduling.

Dan Bulteel
@rui_cheng1 Thanks Rui! Exactly what we’re seeing too, in messy threads, texts and even now LLMs it’s best for agents, but booking links for website integration and inbound still efficient.
Theodore Calafatidis

Congrats on the launch! Actually wanted to try something like this. Very clean idea!

Dan Bulteel
@th_calafatidis Thank you so much for the good vibes. Reading these pumps us up!
shemith mohanan

This is a great take on scheduling. Email is still how most real scheduling happens, and automating that instead of forcing everyone into links feels much more natural. If Ting handles messy threads well, this could remove a lot of back-and-forth friction.

Dan Bulteel

@shemith_mohanan That's the mission for us - you nailed it. Thank you!

Melina Cross

Happy to see this launch today. Building something flexible for growing teams takes real effort. I hope it continues to evolve with user needs.

Alek Gir

Love the concept of an AI that actually reads email threads and handles scheduling back-and-forth! Quick question- how does Ting handle timezone differences when coordinating with international teams? That's always my biggest pain point.

Narasa Reddy

Love this. Email scheduling is one of those low-grade daily pains that never quite got solved, and “human, messy” is exactly the right framing. CC-and-forget feels way more natural than forcing everyone into a Calendly flow. Curious to see how Ting handles real-world chaos—reschedules, vague replies, and the classic “next week works?”—but this sounds genuinely useful.

NanceLu

Using emails/SMS for AI to incrementally learn scheduling habits is a smart approach—much easier to adopt than forcing users to change workflows. The key is whether the model can accurately interpret complex scheduling intent (e.g., multi-person, cross-timezone meetings) while maintaining privacy boundaries. If the learning is reliable and supports rule customization, it could save a ton of coordination time. Watching for API updates.

Mykyta Semenov 🇺🇦🇳🇱

Great project! Does it have access to my contacts? Any integration with email or the phone book?