Today, I m doing a slightly more relaxed and bizarre corner.
The internet is full of things that are either amusing or scary, but mostly things that capture something outside the norm (and over time, even these weird things tend to become normalised).
It is a question of choosing between two evils for us now. Neither option is completely free of flaws.
Human: Recruiters with "gut feelings" who harbor unconscious bias. they reject excellent candidates who just didn't go to the "right" school or didn't just "click." Inconsistent, unfair, and un-auditable.
AI: Algorithms whose training datasets are themselves replete with historical biases. They increase the scale of discrimination at light speed, becoming so-called black boxes that end up rejecting qualified candidates for reasons that humans cannot even fathom.
We are truly deciding to exchange messy, subjective human prejudice for cold, ruthlessly efficient algorithmic prejudice. Is that really an upgrade?
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?
I m curious to know: What are some of the apps, tools, or services you ve discovered that have truly transformed the way you work or build your startup/product, or basically helped you in day-to-day work productivity? It could be anything from project management, productivity hacks, automation, communication, or even wellness tools that help you stay focused.
With all the recent data leaks and surveillance laws, it feels like the vibe is shifting toward 100% local, on-device compute, even if it means settling for smaller models. Running things locally used to feel like a niche hobby, but with the massive leaps in open-source efficiency, it is becoming a viable daily setup for privacy-first projects.
Granted, dialing in the right hardware and dealing with speed tradeoffs is still a massive pain compared to a ready-to-go API.
Are you guys actually moving your daily workflows and tech stacks to local alternatives, or is cloud still your go-to for convenience? Where do you stand on this?
If you've tried registering a domain anytime recently, you know how rare this is. Usually every decent idea is either parked for thousands or forces you into compromises. Finding a clean, 6-letter .com sitting right there felt like winning a tiny lottery. It got me thinking about how much energy goes into naming in the early stages. Question for the founders and creators here: How do you usually go about finding domains or experimenting with names? Do you use AI tools, churn through registry searches, look for expired domains, or just stick to standard TLDs like .com or .ai no matter what?
