Doesn t have to be a start up book (you know the usual suspects: blitzscaling, the lean start up .) it can be though. Can be anything that you feel enhanced your life in any way shape or form. Can even be fiction. I think there is a lot of real world insight to get from fiction as well.
A few years ago, AI at work meant smarter autocomplete or a chatbot on your website.
Now, I m seeing something different.
Companies are experimenting with AI agents as teammates - not just tools. They schedule meetings, file reports, analyze data, and even handle parts of customer support.
I m in the final stages of building a B2B SaaS tool, and I ve hit a wall with the pricing page.
I want to offer a generous free tier to drive adoption, but I m terrified of two things:
Attracting users who will never convert to paid.
Losing out on revenue from users who would have gladly paid from day one.
I ve been looking at how other startups handle this, and I see everything from "reverse trials" (where you get all Pro features for 14 days, then get downgraded) to strict usage caps.
Simple question - as part of your marketing strategy, personal branding, or just maybe some thoughts on paper kind of deal. Would love to hear people who blog and the reasons why Also perhaps a bonus - maybe how you grew your blog if you managed to do so? For me personally, I managed to grow on Medium but it did take some time!
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.
Using AI to spin up new features is awesome for speed, but letting it handle the test suite usually creates a mess of brittle tests. They either pass by mocking out half the application or fail because the agent didn't understand the broader system architecture. Lately I've started treating AI-generated code as untrusted until I manually write or review the tests myself.
What kind of review workflow or safety checks do you use to make sure your test suite doesn't slowly rot away?
Last month I had a small scare on a side project. I fat-fingered a migration on a staging DB and thought, no worries, I have daily backups. Went to restore it and the dump file was 0 KB. Turns out my cron job had been failing silently for almost two months because a password changed and I never updated the script...
The dashboard said "backup enabled" the whole time, and that was the only thing I ever checked. Nothing ever errored or emailed me. If that had been prod, I would've been done...
I wasted months trying to force myself to learn complex financial modeling and detailed project management tools just because I felt I "should" be good at them. I barely got any better but it drained all my creative energy for product building.
Eventually I realized it's way smarter to just hit a basic "good enough" level on your weak spots or bring in a freelancer/cofounder to handle them so you can spend 90% of your time on the stuff you're naturally awesome at.
How do you handle the parts of running a project that you're just plain bad at?
