Hey all,

It s that time of year where if you re not writing a year ahead post, then what are you even doing?

I have a feeling this one *might hit different* for some of you.

I ve been thinking a lot about what I call the founder shadow.

Hey all,

A new feature from Ting that I thought had some learnings for everyone building in AI.

We launched Meet-Ting on Gmail to move fast. It got us out there, but we quickly built up technical debt and a heavy reliance on Google's APIs. 

This was a problem. Our most valuable potential users (the "meeting-heavy" pros) all use Outlook. 

After months of focused work to improve core reliability, it was time to expand our ecosystem. We call it our "Ting everywhere" strategy. Our native Outlook integration is live.

One of the coolest parts of my job is getting a front-row seat to how @marianaprazeres thinks about AI.
Memory feels table stakes in AI right now. But for @Meet-Ting, it s not just a log of the past - it s a living system that shapes how people schedule, work, and want to spend their week.
It s not just logistics - it s patterns around energy, priorities, and relationships over time.

Here are a few things we learned while designing and testing agent memory in production:

Ting's magic has always been in "multiplayer" mode - CC the AI, and it books your meetings with other people.

But we quickly realized a huge part of calendar management is actually "single-player," because: CC'ing an AI adds friction if you don't have a thread going, and digging through an old Ting thread to reschedule is a massive pain. We knew we had to build a way for you to just chat with Ting directly and have it orchestrate all the boring stuff in the background.

We started 1-on-1 emails first, but that felt clunky and slow. The obvious answer for a busy person on the run was WhatsApp. We've had a lot of requests for it, since these days meetings are discussed in many places - not just email, but LinkedIn DMs too.

Hey everyone,

LOTS going on. Google just turned a core part of our product into a feature - which is always fun - BUT, we saw it coming when they added it to Workspace not long ago. Inevitable, really, importance of keeping an eye on the market. The wave of AI scheduling assistants is as validating as it is like white-water rafting...!

Inspired by Lenny s podcast with Ethan Smith (so good, you need to listen - the advice for builders is insane and can't believe it's free...), I wanted to share a few things I ve been seeing going deep into Answer Engine Optimization (AEO) for @Meet-Ting.

I spend a lot of my day in GPT and Gemini, and over the last few months I started getting more curious about how their recommendations are actually pulled from the web. I'm not an expert, listen to the podcast, but I am actively tackling it so have some tactical learnings.

Two months ago, we launched @Meet-Ting here on Product Hunt in closed beta.

And you know what that s meant?

• Lots of new features

• Lots of bugs (oh yes)

• Lots of new users (grateful)