
Navin Goyal
1.8K posts

Navin Goyal
@iNavinGoyal
Build your next device with us! CEO @ https://t.co/MhNu4hOSj8 - helping startups and companies build end to end Electonics and embedded systems with any application


We sold 1,00,000 water-flossers in 2024. We sold 1,50,000 water-flossers in 2025. We sold 1,50,000 water-flossers in 2026 (till date). It’s not just the sales. The fact that: More and more Indians are realising that Just brushing your teeth twice a day is not enough.


One company I hugely admire is NPCI, and every time I use UPI, I think of their work and the massive impact! So it is an honour to do the podcast with their CEO Shri Dilip Asbe. Thank you Dilip-ji🙏



Are you kidding me??? It grasps multiple objects with different ways, all at once with… a single hand??? No pauses. 1x speed. GENE-26.5 is @gs_ai_’s robotics-native multimodal foundation model. It’s trained on 200,000+ hours of real human hand data (motion, force, touch) and runs on a 54-DoF bimanual system: Scaling that human data 4x lifted real-robot success rates from 16.6% to 65.6% on long-horizon dexterous tasks!! Same model weights, zero fine-tuning for this exact sequence. You know those tiny coordinated movements you do without thinking…? Robots couldn’t reliably do that before. Now they can. Today. This is the video you’ll send to my friends, outside of our bubble, when they say “robots are still just demos.” Congrats to the entire team around @zhou_xian_! Credit: Seen at Zu Wang (@zuwang95) Genesis official announcement for the full story + longer demo: genesis.ai/blog/gene-26-5…) ——— Weekly robotics and AI insights. Subscribe free: 22astronauts.com

Introducing SubQ - a major breakthrough in LLM intelligence. It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA), And the first frontier model with a 12 million token context window which is: - 52x faster than FlashAttention at 1MM tokens - Less than 5% the cost of Opus Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention). Only a small fraction actually matter. @subquadratic finds and focuses only on the ones that do. That's nearly 1,000x less compute and a new way for LLMs to scale.






Sir, Let’s wait a few more days as we are currently placing orders for parts from China worth ₹20 Cr+! I assure you that at least 50% of these parts will be manufactured at your factory that’s my commitment to you Especially meaningful on the occasion of Maharashtra Day, Labour Day and Buddha Purnima (your post dated) 😇 Factories, skilled people and labour in Maharashtra have always deserved the very best Let’s grow together ❤️











