Raw Content

How This Venture Capitalist Sees Into the Post-Software Future

Key Arguments

Venture capitalist Sumeet Singh from Worldbuild employs a systematic three-step process to identify emerging technological opportunities and predict future market winners in the AI era.

Singh’s Research Framework

Step 1: Design Your Information Ecosystem

Singh curates information through multiple methods:

Algorithm hacking: Deliberately searching topics repeatedly on social media to train algorithms to surface relevant content
Primary sources: Consulting archives like the Wayback Machine and speaking directly with industry veterans to understand historical technology shifts
Multiple AI perspectives: Running parallel analyses with different language models role-playing as respected investors to stress-test ideas

He consolidates findings in a single Notion document, hoping patterns will emerge over time.

Step 2: Identify the Catalyst

Singh distinguishes between surface-level trends and the subtle technological shifts that enable them. Rather than focusing on “massive top-down” forces like AI itself, he hunts for granular catalysts—such as the Mac mini gaining sufficient memory to run local models practically.

Step 3: Generate Conviction

Singh translates research into actionable hypotheses by considering: What products become possible? How do distribution dynamics shift? What value stacks form? This founder-oriented approach helps him develop sharper investment theses.

Core Investment Thesis

Singh argues successful AI-era companies will win in two ways:

Infrastructure layer: Providing compute, data, energy, and security infrastructure
New applications: Building apps designed around AI capabilities rather than retrofitting AI into existing workflows

Case Study: Sardine

Singh’s 2021 observation of fraud proliferation in crypto markets led him to invest in Sardine, which solved compliance problems across fintech. The company later raised Series C funding at 10x his entry valuation, demonstrating the value of identifying second-order effects.