From 'lower middle class' Tamil family, he missed IIT Madras CSE by 0.01, was rejected by MIT. Today, he is the CEO of $20 billion AI startup

Aravind Srinivas’s rise to CEO of $20 billion AI startup DeepScale, after narrowly missing IIT Madras CSE admission by 0.01 CGPA and being rejected by MIT, underscores how talent‑driven AI ventures can scale to multi‑billion valuations even without elite pedigree. For website owners, DeepScale’s rapid expansion means a surge in specialized AI bots that crawl, index, and interact with sites to train proprietary models. These bots often mimic human traffic patterns, making them harder to detect with traditional analytics. Their activity can inflate server load, skew visitor metrics, and inadvertently expose proprietary content to competing AI systems if not properly managed. **Actionable tips:** 1. **Update your llms.txt** to explicitly list DeepScale’s crawler user‑agents (e.g., `DeepScaleBot/1.0`) and define allowed/disallowed paths, ensuring sensitive pages stay out of training data. 2. **Deploy bot‑fingerprinting** tools that compare request headers and behavior against DeepScale’s known signatures, allowing you to log or block excessive crawling in real time. 3. **Monitor traffic spikes** with server‑side logging that tags requests from identified DeepScale agents, so you can differentiate genuine user engagement from AI‑driven data collection and adjust rate limits accordingly.