Chandra | Builder of SmartMaya.AI

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Chandra | Builder of SmartMaya.AI

Chandra | Builder of SmartMaya.AI

@chandrakumar

⚡ Solving my own founder chaos → built @MayaAI245 | Now 300+ tools help biz owners & execs skip the busywork & grow faster | Try 4 Free https://t.co/9AV0Su1vJG

Singapore Katılım Aralık 2008
3.3K Takip Edilen1.2K Takipçiler
Chandra | Builder of SmartMaya.AI retweetledi
Curiosity
Curiosity@CuriosityonX·
🚨: After 48 years of travel, NASA 's Voyager 1 is nearing one light-day from Earth, almost 16 billion miles away. A proud milestone for humanity, and a humbling reminder of how small we are in an infinite universe.
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..:matching the sombre mood given the backdrop of events…scene creation is powerful zooming out at political rallies to zooming in to a room with just two characters..See it for the craft, you won’t be disappointed #dhurandhar
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Chandra | Builder of SmartMaya.AI
Dhurandhar stays true to the craft of cinema.the violence is un-apologetic,breaking old stereotypes. Scenes are clubbed as chapters in tune with the Insta reels viewing culture currently. Saw this style earlier with the Ajit starrer- Good, Bad,Ugly.Cinematography excels in grey..
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Chandra | Builder of SmartMaya.AI retweetledi
AML
AML@alysha_lobo·
Nicely done 🇮🇳 INDIA ROBOTICS in Singapore🇸🇬. Also a reminder to ALL Indian startups -- the US 🇺🇸 is NOT your default launch market. I first heard of Genrobotics (@GenRobotic) via the Kerala Startup Mission a few years ago but never ended up connecting. Seeing this now genuinely makes me smile. Such companies just stay underground (Pun intended) They’ve stayed focused on building a solid product in a niche space. No noise, no hype, just execution. Bandicoot robots going into sewers and manholes, taking on the dull, dirty and dangerous work. This is EXACTLY what robots should be doing. They’ve raised just $6M from @Zoho , @anandmahindra , @unicornindia Ventures, Sea Fund and others, and now gone on to win a Singapore government contract after outperforming 600 global competitors. These guys went where the problem existed, built for it, and won. This is how you build. Read more here: tinyurl.com/3pbjk4kr
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Chandra | Builder of SmartMaya.AI retweetledi
Bloomberg
Bloomberg@business·
Artificial intelligence is making the world more unpredictable than ever before, according to Oaktree co-founder Howard Marks bloomberg.com/news/articles/…
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Chandra | Builder of SmartMaya.AI retweetledi
Bismah Malik
Bismah Malik@bismahmalik·
Accenture begins offering MBA in AI product management under its Udacity vertical for less than INR 2 lakh
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Chandra | Builder of SmartMaya.AI retweetledi
Satya Nadella
Satya Nadella@satyanadella·
We’ve trained a multimodal AI model to turn routine pathology slides into spatial proteomics, with the potential to reduce time and cost while expanding access to cancer care.
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Gk
Gk@Ggk_here_·
Meet Ravi Shankar school teacher from Karnataka! • A poisonous cobra bit a Class 1 student inside the school. • Hearing her scream, teacher Ravishankar rushed to help. • He quickly gave first aid and acted immediately. • He sucked out the venom to stop it spreading. • The student immediately was taken to Basaveshwara Hospital. • Doctors confirmed both the student and teacher are safe. • A true example of a teacher’s courage and dedication. 🙏👏 #teacher #karnataka
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Chandra | Builder of SmartMaya.AI
Added Classes and Classrooms and teacher workflows to Smart Maya. Moved to a better AI model for greater accuracy. Upgrading non-English languages support Testing several of them. Most importantly, Adapting the AI to adhere to global guidelines for using AI in Classrooms 🔥
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Chandra | Builder of SmartMaya.AI retweetledi
Department of Nephrology | CMC Vellore 🇮🇳
🕯️ It is with profound grief that we at CMC Vellore mourn the passing of Prof. K.V. Johny — the Father of Kidney Transplantation in India. 🕯️ A giant has left us. His legacy is eternal. 🧵 A tribute to a legend: 🙏🏻 In the late 1960s, Prof. Kaivilayil V Johny trained in renal transplantation at Adelaide, Australia. He returned with a mission, and changed Indian Nephrology forever. On 2nd February 1971, Prof. KV Johny & Prof. Mohan Rao performed India's FIRST successful kidney transplant at CMC Vellore — a defining moment in the history of Indian medicine. He founded the Department of Nephrology at CMC Vellore in 1971 - the first of its kind, and launched India's first DM Nephrology training programme, seeding a generation of kidney specialists across the nation. Under his leadership, CMC Vellore became the gold standard for nephrology & renal transplantation in India. He was not just a clinician — he was a builder, a teacher, and a visionary who trained nephrologists who now lead kidney care across India and the world. "A visionary who opened the doors of kidney transplantation in India and transformed the future of renal care." Rest in peace, Prof. Johny. CMC Vellore and Indian Nephrology will forever stand on the shoulders of your life's work. 🙏 @OffCMCVellore @isn_india @IndiaSoTx @ISNEdu @ISNkidneycare @WomenNeph_india @ttsorg @ASNKidney @goKDIGO
Department of Nephrology | CMC Vellore 🇮🇳 tweet mediaDepartment of Nephrology | CMC Vellore 🇮🇳 tweet mediaDepartment of Nephrology | CMC Vellore 🇮🇳 tweet mediaDepartment of Nephrology | CMC Vellore 🇮🇳 tweet media
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4 agents running…2 AI instances running…built 4 different products…2 AI Strategy plans built…Saturdays are becoming different
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Hmmm…Interesting..:currently built our own context layer using legacy db…trying out Intent based context as well…keeping it simple
Nishkarsh@contextkingceo

We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a Q1 termination notice if the language is close enough. A friend of mine asked his AI about a contract last week, and it returned a detailed, perfectly crafted answer pulled from a completely different client’s file. Once you’re dealing with 10M+ documents, these mix-ups happen all the time. VectorDB accuracy goes to shit. We built @hydra_db for exactly this. HydraDB builds an ontology-first context graph over your data, maps relationships between entities, understands the 'why' behind documents, and tracks how information evolves over time. So when you ask about 'Apple,' it knows you mean the company you're serving as a customer. Not the fruit. Even when a vector DB's similarity score says 0.94. More below ⬇️

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