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We have started onboarding operations in: Motihari Prayagraj Katihar Bangalore (coming soon) Mumbai (coming soon) patna (coming soon) Delhi (coming soon) Rajkot (coming soon) We have already begun onboarding delivery partners and restaurant partne

Our startup is currently in Beta Phase 1, and we'd love your feedback! Key Features: Smart Rooms: Offers code highlighting, rich link previews, polls, and voice note capabilities. Battle Arena: Facilitates head-to-head comparisons and structured d

🚀 We just made YouTube smarter for students. Every day, millions of students open YouTube to learn. But they end up juggling tabs, comments, timestamps, distractions — and somehow, learning becomes... chaos. That’s why we built Sync — the Gradus e

Most AI projects don’t fail because of models. They fail because data never flows properly. Without reliable data movement, even the smartest AI system becomes useless infrastructure. Everything begins with pipelines. They quietly power modern ana

day 1 - THE HALO EFFECT The Halo Effect is a type of cognitive bias where our overall impression of a person influences how we feel and think about their character or abilities. Here's a simple way to understand it: Imagine you meet someone who lo

3 levels of human involvement in AI systems. I’ve explained each approach in simple steps below. 𝗛𝗜𝗧𝗟 (𝗛𝘂𝗺𝗮𝗻-𝗶𝗻-𝘁𝗵𝗲-𝗟𝗼𝗼𝗽) Humans are actively involved at every step, from collecting data to monitoring results and improving the mod

The Startup Fundraising Roadmap: A Complete Guide by Hissa Fundraising isn’t just about raising money, it’s about building momentum, choosing the right path, and navigating complexity without losing sight of what matters. Hissa’s guide breaks it dow

4 powerful loops that power Agentic AI. Here’s the easiest explanation of how each one works. 𝗔𝗚𝗘𝗡𝗧𝗜𝗖 𝗟𝗢𝗢𝗣𝗦 Agentic Loops explain how AI agents think, act, learn, coordinate, and improve over time using structured cycles. 1. 𝗖𝗼𝗹𝗹𝗮

2 core ways AI learns and when to use each. I’ve explained each in a simple, detailed way below. 𝗣𝗼𝗶𝗻𝘁 1: 𝗘𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗥𝗔𝗚 • Pulls information from outside sources like APIs, PDFs, or databases • Answers are based on

AIOps vs LLMOps vs MLOps. I’ve explained each approach in simple steps below. 𝗔𝗜𝗢𝗣𝗦 AIOps applies AI to monitor, detect, and fix problems in IT systems. 1. Decide what issue you want AI to solve (like preventing system crashes). 2. Collect l