We kept building advanced dashboards because we thought power users wanted more depth. Turns out, new signups were getting lost in the setup process before they even hit their first 'aha' moment.

The realization hurt: nobody cares about our fancy analytics if they spend twenty minutes just trying to figure out where to click first.

For founders who have simplified their initial flow: what metrics did you use to measure whether your new onboarding actually reduced friction?

I've tested so many AI Note takers as of late. @Fathom, @Fireflies.ai , BuildBetter, @Grain, and even Google's Transcribing feature. They're all pretty good but lately @Granola has been winning me over.

BuildBetter is really good for teams, has a nice chat function that lets you chat across all your meetings and get good insight from your team members, calls, clients, etc.
But for personal, and individual notes - Granola is a champion. Recently I've been using Granola's new mobile app for in-person convos and it's amazing. Particularly for my conversations in Japanese, where the chances of me misinterpreting something, missing a key note, or simply not knowing a word are higher. Granola captures all key points and topics and WRITES THE NOTES IN ENGLISH.
Literal immediate translating assistant. I'm not sure if other's do this, but Granola has been the easiest to quickly boot up and get my notes in a snap...without needing to translate.
I'm curious what everyone else uses and why!

When it comes down to hardware my X feed is filled with two types of designs.

• Retro/nostalgic 2000's hardware that was defined by Gameboy translucent purples, Colorful macs, Sony's beautiful eclectic electronics, and embracing colors that pop like pink, purple, and orange.

• Sleek, modern, simple designs like the @Humane AI pin, @Limitless, @Friend, or the @omi.

I personally miss the fun days where consumer tech was wacky. Think Tamagotchi, Mini Clips, PSPs, and clear-shelled devices. I do see some like @Burner that have brought back some fun design but I'm curious... what does everyone think?
Should we bring back the weird or embrace the sleek, simple, and modern?

Besides generating text, images and videos for you in a few seconds/minutes, AI can certainly do other things.

What unusual uses of AI have you seen?

I hit a wall last year. The product was not growing, the list was long, and I was tired in a way that sleep was not fixing.

I remember sitting there with my cursor over the delete button, not because I would actually do it, but because I wanted the feeling of an exit.

Something I keep running into building in the hiring space: the moment interviews went remote and AI got good, the format quietly broke. Candidates can pull up the right answer, or paste a polished one, in real time. So a lot of interviews now measure who prepped with ChatGPT, not who can actually do the work.

The usual fixes don t really hold either. Fixed question banks get shared and gamed. Harder questions just raise the bar on who copies best. Going back to in-person doesn t scale.

Curious what people here think. Is the structured Q&A interview finished, or is there a version of it that survives AI? And for anyone hiring right now, how are you actually telling a real answer from a generated one?

My team and I are launching our RFP library tool on Tuesday, but we are doing something entirely unscalable for our beta: we aren't handing our users a login.

We know that AI hallucinates badly on unstructured legacy proposals. So, rather than throwing an AI tool at unorganized files, we are stepping in as a temporary extension of the users' team. We do the heavy lifting of manually organizing their scattered past proposal data into an accurate, verifiable library. We want to ensure that the foundation is flawless before we automate any sort of self-serve onboarding.

Has anyone else launched a high-touch, concierge MVP like this? Did your early users value the hands-on setup, or did the lack of instant access cause too much friction?