Razorpay

When anyone can build an application, the bigger question is: what should you build next? Watch Vishal Virani, Co-founder of @rocketdotnew, explain why the next generation of AI tools will move beyond generating code to tracking performance, understanding user behaviour, and helping founders build towards outcomes, not just outputs, on this edition of Founder’s Cut. #Razorpay #FoundersCut #AI

A historic day for India's private space industry. 🇮🇳🚀 Congratulations to @SkyrootA on the successful launch of Vikram-1, India's first privately developed orbital rocket. Proud to see Indian companies continue pushing the boundaries of what's possible.

4 /4 The core is surface-agnostic by design. A new front door plugs in with just an ingress adapter, an auth resolver, and a render node, the brain underneath never changes.

3/4 Every new capability is an assembly of primitives, not a bespoke subsystem. A next-best-action suggestion is just a pre-conditioned entry point into a tool the agent already has. A multi-step write is a skill plus the workflow store plus the same safety gate. The platform composes; it doesn't reinvent.

Here's why Razorpay's Agent Platform is built around a single-agent architecture. (Part 2) 🧵

3/3 The core trick is how it finds what to do. Loading every tool definition into context stops working once you're in the hundreds, selection accuracy falls apart. So the agent keeps the catalog out of context and pulls only what the current turn needs. To be continued.

2/3 It's a single thin orchestrator that composes of four primitives: tools, skills, memory, and knowledge. Domains don't become agents, they become skills and tools the one agent composes. It finds the right one on demand instead of routing between domain agents.

Most AI platforms scale by adding more agents. We went the other way. Here's why Razorpay's Agent Platform is built around a single-agent architecture. (Part 1) 🧵

Full Read: razorpay.com/blog/express-c…

Every cart abandoned and every order returned has one thing in common: revenue that almost happened. Across Indian D2C, 70% of carts don't convert and 17.6% of completed orders are returned. Understanding where revenue leaks is just as important as acquiring the next customer.

Read More here - blog.razorpay.in/blog/introduci…

For businesses, CardSync brings trusted, pre-tokenised cards to the moment of payment - reducing form fatigue, improving card discovery and helping willing buyers complete their purchases with less friction. It is already live on CRED, in partnership with Visa; opening a new chapter in interoperable, intelligent commerce. More consumer apps coming soon! Every saved card should stay useful beyond the app where it was first saved. Razorpay CardSync is our step towards making that possible; because checkout shouldn't be a memory test.

Your customer’s card is already saved somewhere. So why does your checkout still ask them to remember it? Cards saved on trusted apps like CRED usually stay within those apps. The moment your customer shops somewhere new, their payment identity disappears and they’re forced to find, re-enter and save their card again. We thought checkout could work better. 🧵

In the AI era, the best engineers may start operating more like founders. Watch @srinth32, Founder of @deeptraceai , explain how AI is enabling engineers to own a customer problem end-to-end; from understanding the business requirement to building, deploying, and ensuring the solution lands, on this edition of Founder’s Cut. #Razorpay #FoundersCut