Excited to announce our $6M Seed by @ycombinator , @generalcatalyst , @svangel , A Capital , @phosphorcap and many others We started with the vision for building the gateway to the internet for AI agents and in 1.5 years since then, we have become the de-facto source for

when you start doing knowledge work using ai you start realizing that it actually might not replace labor. its just that people will be able to do more and they will have at tens and hundreds of AIs working for them, and they will have to manage them all. a lot more software

so if all your competitors are running ads on your name, should you be happy or angry?

https://t.co/engd2CAlSY

If you're a IIIT-H alum in the Bay Area, I'm hosting a meetup at Topgolf Burlingame today. Looking forward to some great conversations, good swings and decent food! Register at the link below (in comments)

first step to learning something great is finding the right source of knowledge/inspiration most seem to fail here

founders, hiring a b-tier engineer via recruiters costs more than $40k so even if you have to meet hundreds of people and fly halfway across the earth to find and convince a great engineer, do it!

Grok is the fastest but the image quality is poorest. All the images it generates are useless and have blemishes every where.

been using image creating models a lot lately. here are my observation gemini / nano-banana - very creative - cluttered - loses details - fast chatgpt - less creative - clean and minimalistic - keeps details - very slow takeaway: use gemini if you want to visualize a piece

For engineers, identifying an emerging trend/tech early and committing to it could be life changing. But making this choice isn't very logical because. - Its still an emerging trend and there are very less data points to be confident about it - You have more confidence in

FSD for B2B AI Agents It's coming by 2030. Stay tuned

AI agents don't take a day off on a Sunday humans do

very few people realize this but AI agents are just robots in the virtual world and making AI agents to act is similar to making robots to maneuver and act in physical world two things I take away from here: - learnings/algorithms from robot motion planning apply here - its

so if you are hiring young engineers, its always better to have in-person/hybrid culture this is great for both the team's and company's growth

cases where remote work doesn't work: if you're early in your career and you want to really get ahead of the rest, main thing you need is focus and unfortunately, maintaining that while working remotely is hard even if you're self-motivated, the distractions are too many.

once you watch a video on x, your whole feed is just filled with videos. you have to mark all the videos uninterested to get your original feed back. has started happening recently

once you work with earnest hackers, its hard to settle for anyone else

remote / distributed team setup builds a great engineering hygiene to communicate effectively you have to document everything and build processes although it might slow you down in the short run, but as you scale, it helps you grow faster as majority of code is going to be

3 months back we organized a hackathon in Bangalore and while organizing, I kept on thinking it would be a waste of time. The ROI of it was just not clear. Even though ours is a API product, our customers are businesses and we don't sell to devs directly. I had never been so

once people start loving your product, to really scale it all you need is a team that loves customers and the problem you are solving. that's it. money, funding etc is just needed to find and build that team.