If you plan to raise angel or venture capital, choose a private limited company. For a bootstrapped services business with no equity funding plan, an LLP can work. An OPC is usually a temporary founder structure, not a serious venture-backed startup structure. That is the answer to “Pvt Ltd vs LL…
Builder.ai collapsed after promising that AI could build most of an app quickly, while its actual delivery depended heavily on human engineers and outsourced developers. The company reportedly raised as much as $445 million, reached a valuation of about $1.5 billion, faced allegations of inflated…
Pre-money vs post-money valuation is not a wording dispute. It changes how much of your company you sell. A ₹50 lakh cheque at a ₹5 crore post-money valuation buys 10%. The same ₹50 lakh at a ₹5 crore pre-money valuation means a ₹5.5 crore post-money company, so the investor gets 9.09%. With a SA…
A term sheet is not a friendly summary of the deal. It is the investor’s opening move in deciding who will control your company when things go well, when they go badly, and when you disagree. The biggest term sheet red flags are not always the dramatic ones. A low valuation is visible. A hidden v…
Success in Indian startups is rarely just luck. This 18-chapter guide by Dr. Aniruddha Malpani adapts the Predictive Intelligence framework of Shapiro and Stevenson’s Make Your Own Luck for Indian founders: define the future you want, decide whether the game is worth playing, structure your risks…
This conclusion explains how Indian founders can make smarter bets under uncertainty through Predictive Intelligence. It helps founders use clearer goals, better maps, structured risk, and human judgment when information is incomplete. Quick Summary India has ambition and talent, but many young c…
This chapter gives founders a practical routine for using Predictive Intelligence in decisions, planning, spending, and team culture. It helps founders build systems that make strong bets look like luck over time. Quick Summary Write a vivid five-year future headline and define three non-negotiab…
This chapter examines how Indian companies used technology, trust, infrastructure, and disciplined risk choices to build their businesses. It also shows how predictive intelligence could have helped failed startups respond sooner when their economics worsened. Quick Summary Zerodha used technolog…
This chapter explains how Indian founders can use AI to strengthen predictive intelligence without giving up their own judgment. It helps founders turn goals into clearer plans, examine risks, and identify stakeholders more quickly. Quick Summary AI reduces the time and cost of applying the twelv…
This chapter explains how founders can recognize when continuing a business is no longer worth the cost. It helps Indian founders use clear signals to decide when shutting down or selling may protect their capital, reputation, and energy. Quick Summary Quitting is not failure when the evidence sh…
