One Month After Our Product Hunt Launch: What Meet-Ting Taught Us About Meetings?
Every now and again you hear a line in a podcast, book or from a boss that sticks with you. For me, it was:
“People don’t want your time. They want your energy.”
Fifteen minutes of full focus beats thirty minutes half-scrolling your phone. That same idea is shaping how we’re building @Meet-Ting - not just another scheduling tool, but a more emotionally intelligent scheduler.
One month into closed beta, Ting’s helped 250+ people get together, averaging just 2.7 emails per booking. Reliability is still not where we need it, it's been our single product focus alongside introducing more feedback loops (first booking for both guest + host, and 3rd booking for host etc.).
But along the way, we’ve also uncovered some weird and wonderful truths about meetings + AI, that I've been dying to write up for fun:
Time zones are fluid in natural language. Nobody says “14:00 GMT.” They say “after lunch” or “when I land.”
Not all calendar blocks are sacred. “Lunch,” “focus time,” “personal”: people book over them constantly. (How do you help AI know the difference?)
Meetings happen everywhere: WhatsApp, LinkedIn, Slack, quick calls etc. then bounce back into email for the booking. (AI trying to follow that trail is fun...)
Async is reality. Calendars change hourly. The system must always match real-time availability with what AI sees. (This is THE problem with legacy tools)
Wild inbox setups. People still use Hotmail. Yahoo too. Gmail dominates, Outlook is huge, and yes... Gmail through Outlook is a thing!
Some people write vaguely: “Let’s do it soon.” Others are ultra-precise, EA-style. I feel that's a bigger life lesson?
Time zones aren’t just technical: they’re social signals (sometimes even power moves) and identity.
And finally, the big one: Meetings aren’t about minutes. They’re about momentum, connection, and energy. Who knew?!
Building Ting is so challenging - every day we uncover something we totally missed. But if we can give people back even a slice of wasted energy, that’s a win.
Funnily enough, I've spoken to several former founders who tried to solve similar customer problems, and they all agree, it's such an amazing target to aim at, even if you get some bruises along the way.
Next up: retention.
If you’re a product mind working in adjacent spaces (or just geeking out on great mechanics), I’d love to learn from you. Drop a comment or DM me, please?
Replies
Love how you framed this — especially the difference between time and energy.when you uncover these patterns, do you find yourself building rules into the product, or letting the AI learn from behavior over time?
Meet-Ting
@viktorgems Thank you so much! We have an eval framework and response tone/style is one objective we test against to make sure it's always how we want it, which is more human, understanding and convenient (I wrote a Substack on this, but also linked to much smarter people in case helpful: https://chiefting.substack.com/p/ai-development-for-dummies-im-the) and on the patterns it definitely inspires features as well, same as customer calls or just putting stuff out there, here or on Reddit. One other feature came from somebody cancelling a meeting due to her childcare falling through all of a sudden, so we thought to ourselves, in that moment wouldn't it be great to have a button (or AI in our case) to press to clear schedule? That will be ready next week and feels already more emotionally intelligent as it matches a real human situation and pain point when your energy needs it most.
@dbulThat’s awesome — simple ideas make all the difference. All the best of luck to you!
Meet-Ting
@viktorgems You too sir - thanks for the great vibes!