Join a global tech journey through 5 cities in 2007, exploring how mobile payments, super apps, and emerging internet markets shaped today's startup ecosystem. A VC's firsthand perspective.
Learn when to choose large vs small AI models for your startup. Key decision factors: time-to-market, IP strategy, data security & infrastructure costs.
Explore key challenges of building AI chatbots: data privacy, response rates, latency impact, and UX tradeoffs. Real insights from VC experimentation with LLMs.
Discover how Reddit's Web3 avatar launch attracted 3.2M users and generated $11.4M in creator revenue, outperforming OpenSea and Axie Infinity in 2022.
Explore the key architectural differences between Web2 and Web3 startups, focusing on blockchain databases and decentralized storage. A data-driven analysis for founders.
Explore how AI and machine learning are becoming essential tools across industries - from software development to sales. Key insights for startup leaders and investors.
Discover why modern VPs of Product need revenue targets in SaaS. Data shows 55% of PLG companies merge product and sales for optimal growth metrics.
Learn how product launches create operational rhythm in startups, from Tesla's annual events to SaaS companies' monthly releases. Key insights for scaling teams.
Discover why product innovation often stalls after Series A funding, and the key challenges founders face transitioning from early-stage startup to growth-stage company.
Explore data-driven insights on optimizing SaaS customer acquisition: Should startups use both assisted and unassisted trials? Analysis of key benefits and tradeoffs.