FF Daily #488: Make sense of change
September 30, 2021: Vir Sanghvi unplugged; The hooks of social media; Product Market Fit
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Founding Fuel aims to create the new playbook of entrepreneurship. Think of us as a hub for entrepreneurs- the go-to place for ideas, insights, practices and wisdom essential to build the enterprise of tomorrow. It is co-founded by veteran journalists Indrajit Gupta and Charles Assisi, along with CS Swaminathan, the former president of Pearson's online learning venture.
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FF Daily #487: The risk-taking funnel
September 29, 2021: How to deal with pandemic induced ‘learning loss’; Understanding resilience; Bite the Apple
FF Daily #486: The desire to consume
September 28, 2021: Ajay Gandhi and the art of public discourse; What children fear; The cycle of life
FF Daily #485: Finding your vocation
September 27, 2021: China in decline?; A post-iPhone world; Social media hacks
How Bishan Bedi took Delhi from Club Class to World Class
Throughout his career, the spin wizard seldom pulled his punches. His aggressive brand of leadership defined the rise of the champion Ranji side—and for the first time challenged Mumbai’s dominance. An extract from the book 'The Sardar of Spin'
The first thing I will do once the pandemic is over
October 1, 2021 | FF Daily #489: FF Recommends, a wish list
Politics, the business of news, and the Radia tapes
In his memoir, Vir Sanghvi describes a world of politicians and celebrities only he could access. Just how did he do it? How does he see India now? And the future?
FF Recommends: Reverse Ageing
September 25, 2021 | FF Daily #484: How to live a sustainable life
FF Daily #483: Learning from losing
September 24, 2021: Maria Konnikova on learning from Poker; Balancing regulations and spread of innovation; Cow dung economics; A reality check
FF Daily #482: Gullibility; Going vegan; How not to teach math
September 23, 2021: When businesses fool themselves; Veganism and the ethics of food; Samit Dasgupta on what's wrong with having to solve as many math problems in a minute; Skewed data