Some goals for 2026:
- Study AI deeply & build more better AI products.
- Get to at least 2L/month steady income by year end
- Create content on Insta/YT/X (goal - 5k followers)
- Better Selling & Communication Skills
- Learn about Ads & experiment
- Open source & good projects
A year of work poured into this article, how we got a Linux-like coding box running in the browser and in an API route, with no VM in between! https://t.co/aAOioKAWR1
if you are a curious engineer, it is so difficult not to have fomo.
every other domain seems interesting
every other book seems worth reading
every other problem seems worth solving
every other project looks like the next big thing
every other framework feels like something you should learn.
literally every single thing is a distraction. imo, there is no way to even deal with that.
Every engineer I know has asked this at some point: "How deep should I actually go?" According to me, the decision to go deep down the rabbit hole comes down to two things:
1. curiosity - what genuinely pulls you in
2. career direction - where you want to be in the next 2/3 years, not where the internet says you should be
My honest take: depth works best when it serves at least one of those. Ideally, both.
If something aligns with your career direction, going deep is an obvious win. One simple way to test this is to think in 2/3 year windows and ask yourself: Does understanding this layer actually move me closer to where I want to be?
If you are building web apps, you do not need to master CPU instruction sets. If you are working on databases, B-tree internals matter far more than knowing every Linux kernel detail. Context changes what "deep" really means.
Abstraction layers exist for a reason. They let you build without getting overwhelmed. A frontend engineer who understands HTTP is usually more valuable than one who has memorized TCP packet headers but struggles to ship features.
If something does not align with your career direction, curiosity still matters. Learning out of pure interest is not wasted time. You do it because it optimizes for motivation, long-term learning, and happiness.
What does not make much sense is going deep in areas that serve neither curiosity nor direction - often driven by comparison or fear. So keep checking in with yourself. Ask questions. Course-correct often.
Depth is most powerful when it is intentional.
the creator of @nodejs is saying the era of human writing code is over. I think people with the strong fundamentals will be left, not the skim layerers.
This has been said a thousand times before, but allow me to add my own voice: the era of humans writing code is over. Disturbing for those of us who identify as SWEs, but no less true. That's not to say SWEs don't have work to do, but writing syntax directly is not it.
OpenAI:
> hire a small army of ex-Meta ad and monetization people
> a Slack channel just for ex-Facebook staff
> brings in the full “targeted ads” playbook
Launch a browser
> users install it, and OpenAI collects personalized, granular data at scale
> it’s a browser-shaped surveillance device
> it’s a mapping machine of your workflows
> itʼs a reverse-engineering tool for the internetʼs data pipelines, deployed at scale via their users
Launch Sora 2
> a TikTok‑style social network
> infinite AI-generated video feed
> you create or remix clips, upload your face, become the cameo star
> every scroll, like, remix is another data point, another ad signal
> their model learns exactly what hooks you and dials up the dopamine
> you’re not just watching, you’re training their algorithm for better ad targeting
> viral videos driven by your input + their algorithm = your attention refined into $$$
> “your feedback helps us improve the experience” (yeah, for advertisers)
Launch Pulse
> reads your chats while you sleep
> remembers you wanna visit Bora Bora
> knows your kid is 6 months old and
> “thinks” of your baby milestones
> suggests developmental toys next
> “it's for your convenience”
> actually laying the groundwork for targeted ads using memory
> internal memo: some people already think ChatGPT shows ads
> OpenAI staff: “might as well then”
> congrats, you’re back in the Facebook era
> except this time, you’re training the algo yourself
> Buy a GPU
> run your LLMs locally
> reject adware LLMs before it’s too late
added @dodopayments for the first time in https://t.co/N4c9g9K3oq
took me 1 day to setup and start accepting payments on our app...
Fun part, it accepts both UPI and international transactions!
F*ck stripe
Great product! @ayushagarwal
I’ve spent the last year designing 80+ landing pages for clients, studying 1000+ others, and reading about conversions almost daily.
I turned all that effort into one clear formula that suits most landing pages.
You'll need patience to read this, so save it 👇
when you start a task, a linux based VM is created via apple's native virtualisation. claude co-work works in a sandboxed (via bubblewrap) vm to limit damage from execution of bad commands/limit perf issues like hanging due to infinite loop/accidental deletion of files etc.