AI is growing faster than ever, and honestly, it feels like we re riding a giant wave of creativity and innovation! From generative art to powerful language models, automation at work, and AI-powered healthcare breakthroughs it s amazing how much is happening. But here s the cool part: different things spark excitement for different people. Maybe it s a tool that made a tough job easier. Maybe it s a crazy new concept that opened your mind to fresh possibilities. Maybe it s just that "OMG" feeling you get when you see AI pull off something wild (like my Auntie, who literally gasped the first time she saw ChatGPT could calculate calories of her plates! ).
I'd love to hear what s making you most excited about AI right now! Big or small moments, drop them below and let's discuss together.
I ve been a user of cloud based password managers for years. But after the LastPass breach, and seeing more leaks every quarter, I started feeling uncomfortable. My passwords, my bank accounts, my private keys all sitting on someone else s server. Even if zero knowledge sounds great, I can t verify it.
So I went the offline route. I tried pass (the standard Unix password manager) but GPG is a nightmare for non tech folks. I also looked at Keepass, but the UI feels like it s from 2005, and syncing between devices is clumsy.
I am working for a 20-person startup. @Linear is our product development system, which we really enjoy.
Currently, our operations team receives support requests via their personal email and then publishes requests in the Slack channel, where developers are picking up issues, but we would like to upgrade to a more comprehensive system with a shared inbox. I would like it to have an integration with Linear, and the ticket creation to be automated as much as possible. It would be great to have a help center (documentation), too, as a part of the offering.
I'm interested in knowing what approaches indie developers and Makers use when getting ready for the final preparation step before submitting their iOS app to Apple for App Store Review.
I'm currently working on my own app, Lina, a task management tool that automatically arranges tasks by their priority and dependencies and uses notifications to help users stick to schedule.
And while preparing my app for submission, I've noticed that reviewing only the App Store Review Guidelines is not enough. There are lots of details that may easily get overlooked.
And if you've launched any iOS apps, I'd be interested in learning your workflows.
I ve been talking to a lot of SaaS and marketing teams lately, and there s a massive recurring theme: everyone is using AI to write, but almost everyone complains that the output sounds generic and lacks personality.
When you give an LLM a prompt like "Write a blog about X," you're giving it a topic, but completely starving it of context. It misses the brand voice, the specific audience positioning, and the terminology that makes a company unique.
I'm curious how other founders and content leads are handling this friction right now. Are you manually pasting your brand guidelines into your prompts every single time? Have you built custom custom GPTs? How are you actually bridging the gap between generic AI text and real, brand-aligned content?
I spent most of last year replacing my own team's manual work. The one that changed everything: a daily pipeline that generates the videos, converts them to GIF with FFmpeg, burns in the logo, watermark and caption, then publishes across 36 client channels. Nobody touches it now. It used to take three people a full morning.
The strange part is that I miss the morning. There was a rhythm to it.
What did you automate, and did you miss any of it?
