Finance

Media is hiding red flags in boAt’s IPO papers, even stuff which its own auditors have highlighted 🚨🚨 See, when you go IPO, you clean the house. You make sure everything is PERFECT. You're asking for public money, after all. But digging into boAt's "Risk Factors" section reveals a …lot of disturbing things. Details below. .. Red Flag 1: The Books Don't Match. For THREE straight fiscal yrs (FY23, FY24, FY25), the auditors found a major problem. The "quarterly returns or statements filed with banks or financial institutions [were] not in agreement with the books of account of our Company." Let me translate that from accountant-speak. What they told their lenders... did not match what was in their own internal records. FUNDAMENTAL failure. .. Red Flag 2: Classic Asset-Liability Mismatch. For FY23 and FY24, the auditors flagged that the company used "funds raised on a short-term basis... for long-term purposes." Why is this bad? It's simple. You're using money you have to pay back soon (short-term loans) to fund things that only pay off later (long-term assets). This is exactly how a liquidity crisis starts. If your short-term lenders come calling, you don't have the cash to pay them. It shows a DEEP misunderstanding of basic financial management. Or worse, a reckless disregard for it. .. Red Flag 3: Paying Directors Too Much. As if that wasn't enough. For FY23, the auditors found the "remuneration paid to the directors... in excess of the limit laid down under Section 197 of the Companies Act, 2013." They literally broke the law on how much they could pay their own leadership (incl founders). And, we aren't looking at one mistake. We are looking at a clear, documented pattern of weak internal controls. A culture that seems to play fast and loose with financial rules. Plus, if the internal controls are this weak... If the auditors are repeatedly finding these kinds of "unfavourable remarks"... How can anyone be confident in the reliability of the very financials being presented to IPO investors? .. The entire IPO is built on a foundation that the company's own auditors have called out as shaky. How can you trust the numbers in an IPO if the company can't even keep its bank statements aligned with its own books? A total lack of discipline from a company wanting to join the big leagues. As a stakeholder, as a potential investor, you have to ask... Is this the kind of governance you want to bet on? Or so is my personal analysis - which is no recommendation or advisory. .. PS: I share several biz/economy deepdives daily, with 36k+ people on WhatsApp. Do check out here: https://t.ly/h2jq1 Best, Jayant

INDIA GOES OFFLINE, DIGITALLY! The Reserve Bank of India has launched the Offline Digital Rupee, a Central Bank Digital Currency that can move from one wallet to another even without internet or mobile network. Imagine paying for a cup of tea in the Himalayas or for groceries in a rural market where connectivity is zero and still completing the transaction in seconds. ✅ Digital trust has reached a new level. Money that works without the internet is not a product of convenience. It is the evolution of trust. When the value can move offline yet remain verified and authentic, we are witnessing the future of financial inclusion, not just technology. ✅ It solves the last-mile problem. For years, digital payments depended on networks, servers, and gateways. Rural India, remote areas, and even disaster zones were often left behind. The Offline Digital Rupee removes that dependency and gives digital money a physical character. This changes how we think of accessibility forever. ✅ It is faster, cheaper, and smarter. No third-party switches. No failed connections. No dependency on payment gateways. The value moves directly from one device to another, just like cash, but secured by blockchain-based architecture and backed by the central bank. The power of digital efficiency now exists without digital dependence. ✅ Programmable money means purposeful money. The RBI’s Programmable Central Bank Digital Currency model means money can be coded for a reason. Subsidies can be released only for their intended use. Corporate payouts can have specific validity. Social benefits can be tracked transparently. It adds responsibility to the currency itself. ✅ It redefines how economies will interact. Offline CBDC is not just a domestic innovation. It opens the door for new models of cross-border settlements, disaster-resilient financial systems, and new layers of fintech innovation. The world will look at this model as a live example of how technology can merge with human need, not just convenience. ✅ It reminds us what innovation truly means. The right innovation is not when a feature gets smarter, but when it becomes more inclusive. When a person in a no-network zone can transact as easily as someone in a metro city, that is when digital transformation turns into social transformation.

Now it's getting serious. #China introduces new #exportrestrictions on batteries, battery materials and production technologies. China introduces new export restrictions on battery materials and production technologies. Exporters must now apply for a licence at the State Council's trade department. 💡 Affected are: #batteries: Lithium-ion batteries (including cells and battery packs) with an energy density greater than or equal to 300 Wh/kg #cathodematerials: LFP cathode materials with a density greater than or equal to 2.5 g/cm³ and a capacity greater than or equal to 156 mAh/g as well as goods related to NMC and NCA cathode material precursors #anodematerials: Anode materials consisting of a mixture of artificial and natural graphite #manufacturingequipment for lithium-ion batteries, anode and cathode materials 🚢 The introduction of these export restrictions will lead to supply chain constraints in the short term. This will give the Chinese government a powerful political tool and allow it to learn in detail how it works in practice through the temporary shortages. European automotive #OEMs have three options for risk mitigation:  🚂 Escape: Focus on the combustion engine. This provides short-term leeway at the expense of global competitiveness in the future automotive market. 🌍 Friend-shoring: Make efforts to build a resilient battery industry with European players and trusted partners. 😵 Surrender: Relocate EV production to China and countries that are unlikely to be affected by the utilization of export restrictions.   ⏰ It's time to wake up. Once again. 👉 Further information: * Chinese Ministry of commerce of the PRC: https://lnkd.in/ex2uvNjF * Global Times: https://lnkd.in/ejWi6eKb

Last week, China barred its major tech companies from buying Nvidia chips. This move received only modest attention in the media, but has implications beyond what’s widely appreciated. Specifically, it signals that China has progressed sufficiently in semiconductors to break away from dependence on advanced chips designed in the U.S., the vast majority of which are manufactured in Taiwan. It also highlights the U.S. vulnerability to possible disruptions in Taiwan at a moment when China is becoming less vulnerable. After the U.S. started restricting AI chip sales to China, China dramatically ramped up its semiconductor research and investment to move toward self-sufficiency. These efforts are starting to bear fruit, and China’s willingness to cut off Nvidia is a strong sign of its faith in its domestic capabilities. For example, the new DeepSeek-R1-Safe model was trained on 1000 Huawei Ascend chips. While individual Ascend chips are significantly less powerful than individual Nvidia or AMD chips, Huawei’s system-level design to orchestrate how a much larger number of chips work together seems to be paying off. For example, Huawei’s CloudMatrix 384 system of 384 chips aims to compete with Nvidia’s GB200, which uses 72 higher-capability chips. Today, U.S. access to advanced semiconductors is heavily dependent on Taiwan’s TSMC, which manufactures the vast majority of advanced chips. Unfortunately, U.S. efforts to ramp up domestic semiconductor manufacturing have been slow. I am encouraged that one fab at the TSMC Arizona facility is operating, but issues of workforce training, culture, licensing and permitting, and the supply chain are still being addressed, and there is still a long road ahead for the U.S. facility to be a viable substitute for Taiwan manufacturing. If China gains independence from Taiwan manufacturing significantly faster than the U.S., this would leave the U.S. much more vulnerable to possible disruptions in Taiwan, whether through natural disasters or man-made events. If manufacturing in Taiwan is disrupted for any reason and Chinese companies end up accounting for a large fraction of global semiconductor manufacturing capabilities, that would also help China gain tremendous geopolitical influence. Despite occasional moments of heightened tensions and large-scale military exercises, Taiwan has been mostly peaceful since the 1960s. This peace has helped the people of Taiwan to prosper and allowed AI to make tremendous advances, built on top of chips made by TSMC. I hope we will find a path to maintaining peace for many decades more. But hope is not a plan. In addition to working to ensure peace, practical work lies ahead to multi-source, build more fabs in more nations, and enhance the resilience of the semiconductor supply chain. Dependence on any single manufacturer invites shortages, price spikes, and stalled innovation the moment something goes sideways. [Original text: https://lnkd.in/gxR48TK8 ]

9 out of 10 CEOs are tracking the wrong metrics. (I learned this the hard way.) So many are flying blind. Making gut decisions. Wondering why growth feels so hard. But these 18 KPIs change everything. Here's what every CEO should be watching: REVENUE & PROFITABILITY ↳ Revenue Growth Rate shows if you're gaining momentum ↳ Gross Margin reveals your pricing power ↳ Net Profit Margin tells the real health story CASH & RUNWAY ↳ Operating Cash Flow confirms you're funding yourself ↳ Cash Runway warns when to raise or cut spend ↳ Burn Multiple shows capital efficiency to investors CUSTOMER METRICS ↳ Customer Acquisition Cost guides marketing budgets ↳ Customer Lifetime Value validates if CAC is justified ↳ LTV-to-CAC Ratio predicts long-term profitability RETENTION & GROWTH ↳ Net Revenue Retention measures product stickiness ↳ Churn Rate gives early alerts on product issues ↳ Net Promoter Score predicts retention and referrals OPERATIONAL EFFICIENCY ↳ Sales Cycle Length impacts cash flow forecasts ↳ Days Sales Outstanding signals collection efficiency ↳ Employee Turnover Rate reflects culture and hiring FINANCIAL HEALTH ↳ EBITDA strips out accounting noise ↳ Growth Efficiency Ratio reveals expansion quality ↳ Average Revenue Per Account tracks upsell impact The magic isn't in tracking everything. It's in tracking the RIGHT things consistently. Most CEOs drown in vanity metrics while missing the signals that actually predict success. These 18 KPIs cut through the noise. They give you the clarity to make confident decisions. And the confidence to sleep better at night. 🔖 Save this cheat sheet. Review it monthly. ♻️ Share it. Help a CEO in your network. P.S. Which KPI do you watch most closely? Share in the comments below. Want a PDF of the 18 KPIs for CEOs? Get it free: https://lnkd.in/dhh5irfH And follow Eric Partaker for more CEO insights. ————— 📢 Ready to become a world-class CEO? I'm hosting a FREE TRAINING: "7 Steps to Become a Super Productive CEO" Thur, June 12th, 12 noon Eastern / 5pm UK time https://lnkd.in/d9BuZcrd 📌 20+ Founders & CEOs have already enrolled in our  next CEO Accelerator cohort, starting July 23rd. Earlybird offer ENDS SOON. Learn more and apply: https://lnkd.in/dwjGUkEN

The House Budget Bill explained… for utility-scale solar developers. This week, I’m sharing sector-specific explainers of the House-passed reconciliation bill to help each business and worker understand the impact. Yesterday, I covered the manufacturing provisions in the bill. Today, I’ll talk about utility-scale solar and tomorrow will be on the residential sector.   For large-scale solar developers, the biggest and most important provision is the functional elimination of the 48E and 45Y tax credits.   Instead of phasing out the credits, the text of the House bill requires that projects begin construction within 60 days after enactment of the bill AND be placed in service before January 1, 2029.   This effectively eliminates the credits for all new grid-scale solar energy projects going forward. As well as hundreds of projects already under development. Remember, if construction doesn’t begin within 60 days of President Trump signing the legislation, then the investment tax credit won’t be available. Full stop. This has implications for other aspects of the tax credit regime. The other provisions that restrict these credits — like ending transferability and the Foreign Entities of Concern (FEOC) rules — wouldn’t end up applying to 48E or 45Y because the credits would be eliminated before those restrictions would go into effect at the end of the year. Communities across the nation would lose $286 billion in local investments and 330,000 American jobs would be gone.   By 2030, America would produce 173 fewer TWh of energy annually (That’s about the size of Illinois’ energy consumption each year).   That’s the OPPOSITE of American energy dominance.   Let’s keep up the pressure: https://lnkd.in/evBBCp4h

I frequently see conversations where terms like LLMs, RAG, AI Agents, and Agentic AI are used interchangeably, even though they represent fundamentally different layers of capability. This visual guides explain how these four layers relate—not as competing technologies, but as an evolving intelligence architecture. Here’s a deeper look: 1. 𝗟𝗟𝗠 (𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹) This is the foundation. Models like GPT, Claude, and Gemini are trained on vast corpora of text to perform a wide array of tasks: – Text generation – Instruction following – Chain-of-thought reasoning – Few-shot/zero-shot learning – Embedding and token generation However, LLMs are inherently limited to the knowledge encoded during training and struggle with grounding, real-time updates, or long-term memory. 2. 𝗥𝗔𝗚 (𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻) RAG bridges the gap between static model knowledge and dynamic external information. By integrating techniques such as: – Vector search – Embedding-based similarity scoring – Document chunking – Hybrid retrieval (dense + sparse) – Source attribution – Context injection …RAG enhances the quality and factuality of responses. It enables models to “recall” information they were never trained on, and grounds answers in external sources—critical for enterprise-grade applications. 3. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 RAG is still a passive architecture—it retrieves and generates. AI Agents go a step further: they act. Agents perform tasks, execute code, call APIs, manage state, and iterate via feedback loops. They introduce key capabilities such as: – Planning and task decomposition – Execution pipelines – Long- and short-term memory integration – File access and API interaction – Use of frameworks like ReAct, LangChain Agents, AutoGen, and CrewAI This is where LLMs become active participants in workflows rather than just passive responders. 4. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 This is the most advanced layer—where we go beyond a single autonomous agent to multi-agent systems with role-specific behavior, memory sharing, and inter-agent communication. Core concepts include: – Multi-agent collaboration and task delegation – Modular role assignment and hierarchy – Goal-directed planning and lifecycle management – Protocols like MCP (Anthropic’s Model Context Protocol) and A2A (Google’s Agent-to-Agent) – Long-term memory synchronization and feedback-based evolution Agentic AI is what enables truly autonomous, adaptive, and collaborative intelligence across distributed systems. Whether you’re building enterprise copilots, AI-powered ETL systems, or autonomous task orchestration tools, knowing what each layer offers—and where it falls short—will determine whether your AI system scales or breaks. If you found this helpful, share it with your team or network. If there’s something important you think I missed, feel free to comment or message me—I’d be happy to include it in the next iteration.

The inventor of the SAFE note Adeo Ressi just eliminated the $150,000 and 6-month tax on starting a VC fund. This is huge, so we need to talk about it. Traditionally: ⏱️ Time: Launching a fund can take 6-12 months from thesis to first investment. 💸 Money: The VC setup cost ranges from $50,000 to $150,000+, with annual operations adding another $50,000+. 😵💫 Complexity: Requires three separate entities (LP, GP, and ManCo), complex legal agreements, and multiple regulatory filings. 🏦 Fund Size: There is a minimum fund size averaging $10M to make the fund economically viable. Each LP typically needs to invest $100K+ minimum because smaller checks are unprofitable due to per-LP administrative costs. 📊 Track Record: In order to raise this type of fund, new managers need larger LPs, and these larger LPs often need to see an existing successful investment track record, which some new managers don't have. These barriers have created a venture ecosystem where only those with established networks, significant resources, and/or institutional backing can participate. In 2025: Adeo came up with the Start Fund, a vehicle addressing all of the above head-on: ⏱️ Time: Set up a fund in ONE DAY vs. 6-12 months. 💸 Money: ZERO setup fees vs. $50K-$150K+. 😵💫 Complexity: ONE Delaware series vehicle vs. three separate entities, with an LPA just 1/3 the size. 🏦 Fund Size: Viable with just $250K+ vs. $10M minimum, and can accept smaller LPs (as low as $25K) because administration is streamlined 📊 Track Record: Fully portable track record that counts as fund one when you move to fund two. The benefits for emerging managers are clear: the barriers to entry are lower, giving a much wider pool of candidates a chance to create impact and shape the future. But here's why this matters for... LPs - The Start Fund allows LPs to participate with smaller check sizes, making it easier to diversify their portfolio - More of their capital actually goes to startups rather than overhead fees Startups: - This means more availability of capital from a wider range of sources - Access to a more diverse pool of venture investors with specialized expertise The Start Fund could fundamentally could change WHO gets to allocate capital to the next generation of startups, and WHO will benefit financially from it. I want to know what you all think. ------------- ✍️ Myrto Lalacos Follow for more content on launching and investing in VC firms

If you’re earning ₹25 LPA in India, that’s like earning ₹70-75 LPA in the US. It’s due to Purchasing Power Parity (PPP) - and it changes everything. Because it’s not just what you earn, it’s what that money lets you afford. Let’s break it down: • Dining out for two   India: ₹500-₹1000 | US: ₹2,000-₹3000 • 1BHK apartment rent (metro city)   India: ₹45,000–₹55,000/month | US: ₹1.5–2 lakh/month ($1,800–2,400) • Monthly internet   India: ₹700 | US: ₹6,000 ($70) • Full-time domestic help   India: ₹12,000/month | US: ₹1.8–2.2 lakh/month ($2,200+) In India, ₹25 LPA (~₹2.08L/month) gives you a lifestyle most people abroad pay a fortune for: A good home, meals out, convenience services, even help at home - without burning out. So next time someone flexes a dollar salary, ask this: What’s their lifestyle really like? Because in the real world, how far your money goes matters way more than how big the number looks. Disclaimer: 📌Yes, the original post didn’t factor in tax deductions — and that’s a fair point to call out. The ₹25 LPA mentioned is gross CTC; the actual in-hand salary would be lower (around ₹1.5–1.7L/month), depending on the structure and applicable exemptions. But the core point still stands: Purchasing Power Parity (PPP) isn’t about precise math — it’s about relative cost of living. That’s the perspective I was trying to simplify. Of course, exceptions exist cities differ, and lifestyle choices vary - but the post wasn’t about flexing. It was intended to spark a conversation around value, not just numbers. P.S. : The only change made was adding this disclaimer directly to the post, clarifying minimum expected expenses and salary figures before taxes and exemptions. Reason? Very few people actually checked the pinned comment the rest were just here to argue. #purchasingpowerparity #costofliving #economics

Regulators officially approved the Capital One $35B acquisition of Discover Financial Services - clearing the path for a transformative deal expected to close next month. Once finalized, the combined entity will become the largest credit card issuer in the U.S. by total loan volume (~$250B) and hold approximately 22% of the market share. Regulators—including the Federal Reserve Board and OCC concluded the merger would not significantly reduce competition or harm community service obligations. Still, the approval wasn’t without strings: - Capital One must address existing enforcement issues at Discover. -The Fed fined Discover $100M for long-term overcharging of merchant fees. -The FDIC imposed $1.2B in restitution and a $150M civil penalty on Discover. Strategically and most significantly, this merger gives Capital One ownership of Discover’s payment network, offering a new angle of vertical integration —something few U.S. banks can claim in a space dominated by Visa Mastercard and American Express . Bankers—this move reshapes your competitive landscape. What does this mean for your credit card portfolio, #fintech partnerships, or network strategy? #payments #communitybanking #thefed #creditunions