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It is just like bullet train vs bullock cart. Hope you improve it. @iRadhikaGupta @EdelweissMF

Hello @iRadhikaGupta,A sincere feedabck. While you guys are good at investement but your site is very pathetic for investement. While I was able to invest in other 4 folios under a min. But here I tried multiple times for 15-20 mins but cant do it. It is very very slow.

At Persistence Capital, we spend the weeks after every earnings season reading everything across 500+ publicly listed companies – calls, letters, filings, footnotes – trying to figure out what actually changed and what was just noise. We have now started distilling what we think matters each quarter into a single deck. The result is Signal & Noise – 220 slides, 100+ companies across 8 sectors (IT Services, Internet, Financials, Manufacturing, Healthcare, Consumption, Industrials, and Defence). Your portfolio may be down, but at least you can read 220 slides on why it fell 😅. The full deck is accessible in .pdf format using the link below: docsend.com/view/dcg46sfb6… Would love to hear what resonates and what we got wrong. Disclosure: No recommendation to buy or sell anything. Please consult a financial advisor before making any investment decisions.

@TheTechocrat So till March end it will be cooler in bhopal/indore region?

I haven't seen a more massive WD system in my life. Insane coverage.. Though activities will shift eastwards by late afternoon however more systems are on the way around 23rd and 28th March though their intensities have to be seen. Enjoy winter in March and possibly into first half of April also.

Helll @PMOIndia @narendramodi ji, please can we proactively devlare that companies ask all relevant people to have WFH.. This will save a lot of fuel..🙏

More frequently we will share FREE, pieces of our published research / videos / Articles with those who follow us: a) First 500 who retweet our tweets. b) Often as surprise DMs will come on retweeting some of our tweets. DEFINITELY Press the bell icon to Turn on Notifications.

@kedianomics @sushilkedia Please help with the analysis.. Thanks for sharing

In 2:30 hr webinar @sushilkedia analysed #Nifty going to 27000+ & exactly which of its 50 stocks are where on the cycle. As #CSR effort, what is priced INR 2500, can be availed free: To get registration link: -Follow us [So we can DM] - Retweet -Nice Replies Help

this is actually insane > be tech guy in australia > adopt cancer riddled rescue dog, months to live > not_going_to_give_you_up.mp4 > pay $3,000 to sequence her tumor DNA > feed it to ChatGPT and AlphaFold > zero background in biology > identify mutated proteins, match them to drug targets > design a custom mRNA cancer vaccine from scratch > genomics professor is “gobsmacked” that some puppy lover did this on his own > need ethics approval to administer it > red tape takes longer than designing the vaccine > 3 months, finally approved > drive 10 hours to get rosie her first injection > tumor halves > coat gets glossy again > dog is alive and happy > professor: “if we can do this for a dog, why aren’t we rolling this out to humans?” one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline. we are going to cure so many diseases. I dont think people realize how good things are going to get

@InvestorOfJAMMU @grok is it due to any SEBI policy which is leading to nifty rebalancing?

HDFC Bank down 15% from Rs 1020 ATH. ➡️No core business issues, Q3 FY26 showed 11.5% YoY PAT growth to Rs 18,654 cr, GNPA at 1.24% (stable/best-in-class), NIM 3.35%, strong capital (19.9%). ➡️Why falling: Deposit growth (11.6% YoY) lagged advances (11.9%), pushing CDR near 100%, limits lending, raises liquidity concerns. Post-Q3 disappointment + analyst downgrades + FII profit-booking + sector weakness. ➡️Buying opportunity? Long-term yes for many analysts (targets Rs 1150-1240, 30-40% upside, seen undervalued).

@gaze_observer @grok which listed companies to benefit?

India to See Sharp Rise in Green Hydrogen Capacity in 2–3 Years India is expected to witness a significant increase in green hydrogen production capacity within the next 2–3 years, driven by multiple projects nearing completion. Current commissioned capacity is around 8,000 tonnes, but the government aims to raise it to at least 200,000 tonnes in the coming years. Tenders for about 20,000 tonnes of green hydrogen capacity have already been awarded, with 10–12 additional tenders in the pipeline. The government has issued tenders for 1 million tonne per annum (MTPA) green hydrogen production capacity, supported by subsidies. Growth will help decarbonise hard-to-abate sectors such as steel, refining, and transport (including shipping). India recently recorded its lowest green hydrogen price of ₹279/kg ($3.08/kg) in a supply bid for the Numaligarh refinery in Assam. Under the National Green Hydrogen Mission (₹19,744 crore) launched in 2023, India aims to produce 5 million tonnes of green hydrogen annually by 2030. Industry leaders say policy support such as carbon pricing and continued improvements in electrolysis technology will accelerate adoption and reduce costs.

India has recorded its lowest-ever discovered price for green hydrogen at ₹279 (~$3.08)/kg in a tender for 10,000 tonnes per year supply to Numaligarh Refinery in Assam. Supported by government incentives and cheaper renewable electricity, this milestone boosts cost competitiveness and marks rapid sector progress. India’s ambition to achieve green hydrogen at USD 2/kg is not a distant dream anymore. @sembcorp @BPCLimited @OilIndiaLimited

@rajuidesai @grok is rhis true?

$1.4 Trillion Needed for AI Data Center Electrification by 2030, Chief Investment Officer... - GE Vernova signed over $2B in electrification orders for data centers in 2025. This tripled the prior year. So if India is increasing Data Center Capacity, fig out which Co can prosper!! Did I discuss GE Vernova Power India Ltd here at only 163? finance.yahoo.com/news/1-4-trill…

@grok @ekwufinance @charts_breakout @grok how ro invest in this etfs.. Also do Any indian etf investe in this goobal etfs?

No pure-play uranium stocks in India (UCIL unlisted). For India's nuclear push (to 100GW by 2047): - Larsen & Toubro (L&T): Reactor vessels, major NPCIL supplier. - NTPC: JV for new nuclear capacity. - BHEL / MTAR Tech: Components & precision parts. For direct uranium price upside: Access global ETFs like URA (Global X Uranium) or URNM (Sprott) via LRS/international account. DYOR, not advice.

Uranium is set for a commodity super cycle Kazatomprom accounts for 20 percent of global uranium production, and its future growth is no longer freely available to the market: - India made a huge deal with Kazatomprom valued at 50% of the book value - China/Bannerman deal locks in future supply - Russia/Kazatomprom locks in most of the supply growth of Kazakhstan This means incremental supply is being pre-allocated through state-level strategic deals... not sold into the open market. Meanwhile, the West is sitting on the sidelines watching future supply vanish. - India alone plans to increase nuclear energy 10 fold to 100GW - That's equal to ~ 50 mlb/year of uranium demand - New reactors purchase 3 years of uranium supply upfront Achieving just 50% would mean India alone needs to purchase 60 Mlb of uranium upfront. And this is happening in a market that has already been in structural deficit for years, with secondary supplies shrinking and mine development timelines measured in decades. Higher uranium prices at this point are a mathematical certainty

Sarvam’s 105B model (and its smaller 2B sibling, Sarvam-1) solved a problem that global giants like OpenAI & DeepSeek ignored: the Tokenization Tax. In most AI models, an Indian word like Namaste takes 4-8 tokens to process, while an English word takes only 1.4 & this makes AI 4x more expensive for us. Sarvam built a custom tokenizer from the ground up that brought Indian language fertility down to 1.4 tokens/word, matching English for the first time in history. This is how 40 people outperformed others in local efficiency :)

Location as per Ramayana and Mahabharat and Puranas The Original Atlas: A Seeker's guide to Spirituality (sattology) a.co/d/h7gvcWa

@memenist_ Most hilarious tweet I read...🤣

*August* 🇺🇸: Lao bhai F16 no.001 servicing karni hai 🇵🇰: Sir wo to India ne uda diya Trump: 6 Jets lost *Sept* 🇺🇸: F16 no.002 🇵🇰: Sir wo bhi gaya Trump: 7 Jets lost *Oct* 🇺🇸: F16 no.003 lal 🇵🇰: Sir wo to India ne 🚀 Trump: 8 Jets lost *Nov* 🇺🇸: Where is F16 no.004? 🇵🇰: Sir wo to Brahmos.. Trump: 9 Jets lost *Dec* 🇺🇸: F16 no.005 🇵🇰: Sir wo to India.. Trump: 10 Jets lost *Jan* 🇺🇸: F16 no.006? 🇵🇰: Sir wo to India.. Trump: 11 Jets lost..😂

@SarvamAI You guys are doing superb things..hats off to you 👏

Both models will be released as open weights on Hugging Face soon. API access and dashboard support to follow!

Yesterday, we released Sarvam 30B and Sarvam 105B. Built from scratch, both models leverage a Mixture of Experts (MoE) architecture, delivering stronger performance at scale while using compute more efficiently.

Sarvam 105B model follows the same MoE design, activating 9B parameters per token to combine large-scale capability with efficient execution. With a 128K context window, it is built for more demanding tasks including complex reasoning, agentic task completion, tool use, coding, mathematics, and science. This makes it well suited for enterprise and population-scale deployments that require deeper reasoning and structured problem solving.