Apoorva Srivastava ☯️

It's a curse to have everything go right on your first attempt. You'll fail to question the element of luck, making you think that you have the golden touch.

How is @Apple repair process this bad?! Gotta give up my phone for 3–7 days, get all data wiped, no loaner provided, and since it’s eSIM-only, I need to have another eSIM phone. All for a cracked glass back. Data Backup? Pay for iCloud or use a Mac (Windows backup is awful)

This guy looks like the surface of Mars. Intelligent design or evolution?

worthit.utyl.in 🌐

My girlfriend was having trouble prioritising her problems so I vibe coded a simple calculator for her to check if the problem is worth it 😆 Try it out in the first reply👇🔗

Note to self: Within a consumer group, different partitions of a topic are always read by different consumers. T1P0 > CG1C1 and T1P0 > CG1C2 is not possible. However, T1P0 > CG1C1 and T1P0 > CG2C1 is possible because consumer groups are different.

A product that (almost) everyone uses from mid-sized tech companies and up but I rarely hear talked about: Grafana In The Pragmatic Engineer 2025 survey, it had more mentions than Cursor, and dominates as the answer to "how do you turn information into graphs" This is Grafana:

@iliekcomputers 10/10 ragebait

kind of guy who eats maggi without ketchup

Huh

I absolutely love the auto drivers that have their UPI QR codes as their wallpaper. So efficient.

Came across an interesting problem while building something recently. How to find the closest airport to a given place on Earth as fast as possible? ✈️ Though it would be simple. Turns out it wasn’t. Wrote an article explaining all about it :) 🧵⬇️

Building SaaS with the bros is the only thing that can fix me rn.

What doesn’t get measured, doesn’t get improved.

@ShivamSouravJha @GaurangGujrati Yeh kaun hai? 👀

Me and @GaurangGujrati were literally talking about this today

Source: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems ~ Book by Martin Kleppmann

Because extreme tail latencies are often caused by random, uncontrollable factors. Fixing them is hard, and the benefit isn’t worth the cost. The takeaway: 📌 Optimize for most users, especially the high-value ones. 📌 Don’t burn time chasing every last millisecond in the tail.

Amazon found that just a 100ms increase in response time can reduce sales by 1% 🧵