I love travelling between non metropolitan cities. Traveled from Varanasi to Durgapur today and the whole journey from the starting point to destination took exactly 4hrs which includes 1½ hrs of commute to and from the airport.
Compare this to life in BLR where it would take 4 hours just to board the flight.
@neerhdeka and I have been building something quietly, and it's turning into something real.
Can't say much yet, but if you've ever started something with good intentions and slowly faded out, this is going to hit differently.
Claude Code did something that I wouldn't ever have and it blows my mind 🤯
I was working on a side project that requires the calculation of distances between two coordinates and it used mathematical symbols instead of textual variable names like φ1, φ2, Δφ, Δλ instead of lat1, lat2, dLat, dLon.
Turns out TypeScript supports unicode identifiers so it works perfectly. It reminded me of the days I used to obsess over Wolfram Alpha.
I'm sure it’s genius but I wonder how long do humans have before AI writes code that is so efficient that most humans wouldn’t be able to comprehend.
The first time I realised this was, one day our infrastructure went down and although someone else triggered it, I couldn't blame anyone but myself. It's easier to blame the intern, but deep down you know that you could have designed the system better, and you didn't.
It is both the most frustrating and freeing feeling I've ever experienced. Now I've gotten pretty addicted to it and it's the bare minimum I seek everyday.
I keep asking myself, Does the world need another data tool?
400+ companies. 10's of billions in funding. Every problem seemingly solved. But solved for whom?
If you belong to a Fortune 500 company with a 20 person data team, you're spoiled for choice. Snowflake, dbt, Looker, Fivetran. The stack is deep. If you're everyone else, those 400 tools might as well not exist.
I learned this the hard way. Twice.
Built a customer success product that failed. Not because the idea was bad, but because the gap between we have data and we understand what the data means was wider than I ever imagined.
Then I made the same rookie mistake that almost every founder in this space had. I thought an AI agent could fix this. Natural language questions. No SQL required. Felt magical in demos. Outside of demos, it gave confident looking answers that were quietly wrong. That's worse than no answer at all.
Two failures. Same root cause.
We keep building friendlier interfaces on top of an infrastructure that was never built for the vast majority of people. Better UIs on top of warehouses. Natural language on top of SQL. But the foundation assumes you already know what to measure, how to segment, and when a number is real versus noise.
The market isn't saturated. It's saturated for a specific customer segment. The other 95% are still waiting.
Read more https://t.co/Akby0SYxwG
@HathwayBrdband I don't have internet(LOS problem) for the past few days even though I've received the message stating that the network has been restored yesterday. Also your support desk is unreachable. I live in Thiruvanmiyur. Please fix these issues immediately.
Microsoft acquiring an Indian SaaS startup for a massive amount going completely under the radar shows how active + mature the Indian ecosystem is becoming.
It's now "everyday" news.
In the UK the number of cases rose rapidly.
But the public – and authorities – are only learning this now because these cases were only published now as a backlog.
The reason was apparently that the database is managed in Excel and the number of columns had reached the maximum.