Kunal Shah on Winning in India, Second-Order Thinking, the Philosophy of Startups, and More
- Aisha Washington
- 2 hours ago
- 7 min read
India offers founders an unusual combination of massive reach, low monetization, rapidly improving infrastructure, and deeply rooted social norms. In this conversation on Lenny’s Podcast, CRED founder Kunal Shah argues that succeeding there requires more than importing a Silicon Valley playbook. Builders must understand how Indians perceive trust, time, status, risk, and value.
Shah moves fluidly between product strategy, mythology, economics, and human behavior. His central message is that good founders look beneath visible outcomes. They ask what produced them, what happens next, and which assumptions no longer fit. That habit—second-order thinking—connects his views on transformative products, organizational growth, artificial intelligence, criticism, and failure.
The Delta 4 Test for Transformative Products
Shah’s Delta 4 framework offers a simple way to evaluate whether a new product creates enough improvement to change behavior. Ask customers to rate both their current solution and the proposed alternative on a ten-point scale. If the new experience does not score at least four points higher, switching may not feel worthwhile.
A large efficiency gap changes more than customer preference. According to Shah, a Delta 4 product can become difficult to abandon even when it occasionally fails. It may also inspire users to describe it to others because the improvement is conspicuous enough to become a story. That organic advocacy reduces dependence on advertising and extensive customer persuasion.
The framework can be applied at several levels: an individual feature, a complete product, or an entire business model. Large language models are a timely example. For many research, writing, and analytical tasks, they compress work that once required hours into minutes. The important question is not whether the technology is impressive, but whether users experience a dramatic and measurable leap over their previous method.
This test also exposes a common product mistake. Teams can become excited about technical novelty while customers perceive only a marginal benefit. Delta 4 forces the discussion back to experienced value.
Why India Needs Its Own Startup Playbook
India’s scale can be deceptive. A company may acquire millions of daily active users without generating comparable average revenue per user. Shah attributes much of this gap to lower per-capita income and a widespread abundance of inexpensive or free digital content.
That distinction matters to founders and investors. One hundred million Indian users cannot automatically be valued like the same audience in a wealthier market. International companies may still prioritize Indian growth because it strengthens their global reach and public-market narrative. A domestic startup, however, eventually needs a credible answer to monetization—potentially by serving higher-income segments or expanding abroad.
CRED emerged from this logic. Instead of trying to reach every Indian consumer, the company concentrated on roughly 25 million affluent families with globally comparable expectations and spending power. Shah presents this as a deliberate rejection of the idea that India should replicate China’s mass-market technology trajectory.
The broader lesson is to identify the economically relevant customer, not merely the largest imaginable audience. Reach and revenue are different achievements.
Trust, Time, and the Rise of Super Companies
Shah argues that people in India often value time differently because hourly compensation is uncommon. Many workers can state their monthly or annual income but have never calculated the value of an hour. As a result, someone may willingly spend considerable time saving a relatively small amount of money.
For product teams, this complicates conventional efficiency claims. Saving five minutes will not necessarily motivate a purchase if customers do not habitually translate time into money.
Trust creates another market-specific dynamic. Where institutional consumer protections are perceived as weak, people place greater weight on reputations, family names, and established brands. Once a company earns that confidence, it can enter multiple categories more easily. Shah connects this concentration of trust to the emergence of Asian super apps and diversified “super companies.”
This is why narrow focus can become a constraint in low-ARPU markets. If each customer generates little revenue, a trusted business may need to offer several services to the same user. Brand is therefore not a decorative layer. It is part of the operating infrastructure.
Culture, Profit Pools, and Indian Leadership
A country’s most profitable industries reveal something about its social organization, Shah suggests. Markets shaped by arranged marriage, low divorce rates, patriarchal structures, and limited female workforce participation will not necessarily produce the same consumption patterns as Western economies. In such environments, financial services may command more value than consumer categories that thrive elsewhere.
The same cultural lens informs Shah’s account of Indian executives succeeding in the United States. He points to respect for education, logic, perseverance, and long-term relationships, while using figures from Indian mythology to describe different leadership combinations. Krishna represents strong values paired with a willingness to challenge convention; Rama represents principled obedience.
Shah describes effective professional CEOs as custodians of the founders’ “dharma”: the enduring purpose and principles of the organization. Their task is not to overwrite the company with a personal legacy, but to preserve what matters while enabling continued growth. This resembles Jim Collins’s concept of level-five leadership, in which ambition is directed toward the institution rather than the leader’s ego.
Founders Must Change as the Company Changes
The abilities needed to create a company are not identical to those required to scale it. Early founders typically control details, make rapid decisions, and shape the product directly. As the organization expands, they must delegate authority and build systems that allow other people to lead.
Yet delegation is not necessarily permanent. If execution slows or the company loses its edge, the founder may need to intervene again. Shah compares this organizational rhythm to the mythological cycle of creation, preservation, and destruction associated with Brahma, Vishnu, and Shiva.
The practical challenge is balancing “zero-to-one” inventiveness with the discipline required to move from ten to one hundred. Early employees may not be ideal for every later phase, while scaling specialists can struggle in an ambiguous startup environment. Founders themselves must keep evolving or risk becoming a source of inertia.
Senior leaders, in Shah’s view, should remain the company’s chief problem solvers. Their value comes from confronting the hardest fires, not merely supervising routine activity.
Building Through Losses, Doubt, and Public Criticism
Traditional Indian business culture often emphasizes trading: buy at one price, sell at a higher one, and protect near-term profitability. Venture-backed internet companies follow a less familiar sequence. They may invest heavily in distribution, product advantages, talent, and brand before monetization catches up.
That model can produce alarming losses and intense public skepticism. Shah notes that founders are often judged by observers who do not understand the economics or construction phase of the business. His advice is not to ignore every criticism, but to rank feedback by relevance and earned expertise.
Founders should listen especially carefully to people who have solved comparable problems at a higher level. Treating every online comment as equally valuable creates noise, anxiety, and confused decision-making. Shah’s metaphor is that leaders should resemble noble gases: difficult to provoke into unnecessary reactions.
India’s attitude toward entrepreneurial failure is improving as unicorns and founders gain cultural recognition. But failure can still carry significant social costs. Building a healthier ecosystem therefore requires not only capital and infrastructure, but greater respect for people willing to accept uncertain outcomes.
India’s Unfinished Advantages
Despite its constraints, Shah sees India as an exceptional place to build. Digital public infrastructure, government support, widespread smartphone access, and a young population provide an unusually fertile base for experimentation.
Several structural weaknesses could become business opportunities. Low female labor participation leaves enormous talent underused, while remote work can help more women enter the economy. Low productivity and inefficient processes also create room for AI-assisted improvements. If India becomes highly capable at applying AI, Shah believes it could raise output and broaden access to economic opportunity.
The danger is discouragement after highly visible failures. A young ecosystem must be able to absorb mistakes, update its models, and continue building. India is also moving from a primarily collectivist culture toward a more individualistic one, producing a hybrid market that may generate entirely new categories.
Curiosity as a Competitive Advantage
For Shah, curiosity is partly freedom from the pride of expertise. Curious people can admit ignorance, ask elementary questions, and become energized by problems whose answers are unclear. This makes them more adaptable as industries and technologies change.
His own learning method begins with conjectures. He forms a theory, then searches across disciplines for evidence that could confirm or disprove it. Chemistry, physics, evolutionary biology, history, and human behavior become connected sources rather than isolated subjects.
This approach supports second-order thinking: tracing the consequences that follow an obvious first effect. Shah applies it to AI by asking not only which tasks machines can perform, but how countries, employment, and the useful life of skills might change afterward.
He uses lab-grown diamonds as another example. Their production may initially create attractive profits, yet wider availability could eventually weaken the scarcity and social status that make diamonds valuable. The immediate commercial opportunity and the eventual market consequence may point in opposite directions.
Better Questions Produce Better Decisions
Shah believes the quality of a person’s questions can become an unfair advantage. Strong decision-makers often cannot fully articulate their intuition, so understanding their choices requires examining how they frame problems and anticipate cascading effects.
Second-order reasoning can be cultivated early through strategy games, physical competition, historical inquiry, invention stories, and repeated “why” questions. Etymology can serve the same purpose because it reveals how meanings developed rather than presenting language as a fixed system.
AI can supply rapid answers, but Shah cautions against stopping there. The greater advantage comes from using available information to derive consequences that were not explicitly provided.
His monthly question for senior colleagues captures this philosophy: What was the hardest problem you solved last month? Exceptional performers tend to accumulate substantive answers because they continually seek difficult, high-impact problems. Shah compares them to patient predators that conserve energy until a valuable opportunity appears, then act decisively.
Failure as Material for Growth
Shah’s relationship with failure began early. A severe family financial crisis led him to start working at 15, and he believes many ambitious people spend their lives trying to escape or transform an original setback.
Entrepreneurs, he says, often develop an ability to metabolize failure—to remember the lesson without remaining trapped in the emotional loss. But learning only from personal mistakes is unnecessarily expensive. Studying how others failed can reveal recurring patterns, even though people naturally assume their own circumstances make them immune.
This is also why Shah encourages product professionals to share how their thinking has evolved. Public learning can feel risky when peers are ready to judge unfinished ideas, yet much of the ecosystem advances because practitioners make their discoveries available to others.
The goal is not a life without setbacks. It is a life rich in meaningful problems, useful stories, and evidence of growth. In Shah’s account, the philosophy of startups is ultimately a philosophy of adaptation: see the market clearly, question inherited assumptions, and turn every result into material for the next decision.
