I have this super small tiny startup where we have an app and here I am giving it for free. I would love to have some feedback. Please visit our launch today. There you can find the coupon for a subscription for 1 year free. Our name is Panbit. We are both in Apple and Android.
I put together a digest of the last few months building Ting - the good, the meh, and the lessons I can imagine me wanting to tell future founders so they can dodge the bruises and get to the good stuff quicker...
The good: - Nearly 1,000 users - ~50% MoM growth with no ads. - Added Outlook, Teams, Zoom + multi-calendar. - Launched Memories, micro product moments when the AI remembers small details + you feel seen. - Team is now 2 founders, 2 engineers, AI QA + day-one consultant. Oh, and a baby was born yesterday! - Inbound pilots from a top 10 tech company, top 3 ad network, top 3 bank. - Great investor convos at Web Summit + SF.
I ve been talking with a lot of founders and support leaders lately, and something interesting keeps coming up. Many teams want to introduce AI into customer support, but the onboarding and setup process often becomes the biggest hurdle. Not because the tech isn t good enough, but because teams worry about training, accuracy, and maintaining a smooth customer experience during the transition.
I m curious how others are navigating this. Are you rolling AI out gradually? Testing it on internal queries first? Letting it assist agents before going customer-facing? Something else entirely?
Everywhere I look, I see founders and operators investing heavily in their personal brand:
LinkedIn posts every day
X threads
Podcasts, YouTube, newsletters and substacks too
Meanwhile, their CV or portfolio gets updated maybe once a year.
I m wondering if we re heading into a world where your online signal (what you say, who engages with you, what you ship publicly) will matter more than any formal CV or resume.
I noticed this question in one of my discussions and thought it would make sense to share my approach if I were to get in touch with more active users of this platform.
Here s how I would find them and connect with them (via X, LinkedIn or other channel) You can find them :
Check people who log in daily (Streaks).
Look at users who actively comment under discussions and launches.
Connect with active hunters.
You can try reaching out to the internal Product Hunt team.
Explore WA, Telegram, and Signal PH groups where people are active and reach out to them.
Check users who launch a few days before you they re likely to put effort into the platform too, so they still have that "launching vibe".
Hi everyone. I m Miguel, founder of Panbit. One of the reasons I built Panbit was because so many people (me included!) start strong with new habits only to lose momentum after a few days or weeks.
Panbit isn’t just another habit tracker, it adds real accountability. When you miss a habit, a small fee becomes a donation, turning setbacks into impact. You can add “environment changes” with photos you can show that you are changing your environment to make habits easier, set commitment locks to stay focused, and track progress with a fun, supportive system. Panbit makes habits stick by combining psychology, stakes, and positive motivation.
I realised how important videos are in search results.
This and the previous week, we reached out to many creators for custom videos on various topics that include the client's product. (I gained some overview about prices for such a video and need to say that if things go well, it can be a good investment in the long term).
I ve been in SEO since Yahoo ruled the web, and one thing hasn t changed: visibility still decides who wins.
What has changed is who defines that visibility. It s no longer Google s algorithm; it s AI models like ChatGPT, Gemini, and Claude deciding which brands show up in answers.
That s why we built Akii AI Visibility Score. It s a free tool that shows exactly how top AI models perceive your brand, what they get right, what they miss, and how to improve your AI visibility.
We ve seen some surprising results: well-known brands that AI barely recognizes, and smaller ones that dominate because they re training the models right.
