How to Get and Evaluate Startup Ideas | Startup School

Common Startup Idea Mistakes

• Building "solutions in search of problems" (CISPs), such as starting with a technology like AI and retroactively searching for a problem to solve, often leads to addressing superficial issues users do not genuinely care about.
• Falling into "tar pit ideas" (e.g., apps for group event planning) which appear solvable but have structural barriers preventing success, often because they have been attempted for decades without breaking through.
• Failing to validate market difficulty via basic research, specifically by neglecting to Google existing competitors and speak to founders who have previously attempted the idea to understand why they failed.
• Operating on a false dichotomy between executing on the first idea immediately versus waiting for a "perfect" idea, ignoring the reality that all ideas evolve and no initial concept is flawless.

Framework for Evaluating Startup Ideas

• Founder-Market Fit: The most critical criteria; the team must possess specific domain expertise or background that makes them the ideal people to execute the idea (e.g., PlanGrid founders' background in construction).
• Market Size: Successful startups require either a currently large market or a small market with rapid growth potential (e.g., Coinbase in 2012 targeting the nascent Bitcoin trading market).
• Problem Acuteness: Valid problems have high stakes or no alternative solutions (e.g., Brex solving the inability of startups to obtain corporate credit cards).
• Competition Strategy: Existence of competition is often a positive signal; successful startups usually enter markets with competitors but require a unique insight to solve a missed aspect (e.g., Dropbox's focus on superior UI compared to 20 other cloud storage providers).
• Personal Relevance: Founders must know people personally who want the product; a lack of personal desire or user proximity suggests the problem may not be real.
• Catalytic Change: Opportunities often arise from recent shifts in technology, regulation, or behavior (e.g., Checkr emerging to handle background checks for the gig economy).
• Proxy Validation: Using a large company operating in a similar space in a different geography or sector to validate feasibility (e.g., Rappi using DoorDash's success as a proxy for Latin American food delivery).
• Scalability Constraints: Pure software scales infinitely, whereas service-based models (agencies, dev shops) face scalability limits due to reliance on high-skill human labor.
• Idea Space Hit Rates: Certain categories historically have higher success rates; FinTech infrastructure and vertical SaaS have shown significantly higher probabilities of becoming billion-dollar companies compared to consumer hardware or social networks.

Counter-Intuitive Indicators of Good Ideas

• High Entry Barriers: Ideas that seem hard to start often remain unexploited, leaving massive opportunities for those willing to navigate complexity (e.g., Stripe's difficult banking integration requirements).
• Boring Spaces: Industries perceived as unexciting (e.g., payroll software, tax accounting) often have higher hit rates because they are overlooked by founders seeking "fun" projects (e.g., Gusto).
• Existing Competition: Markets with competitors often indicate a verified need; the key is identifying a specific flaw in current solutions that the new entrant can fix.

Methodologies for Generating Startup Ideas

• Leverage Team Expertise: The most effective method is to brainstorm ideas at the intersection of the founders' specific past job experiences and domain knowledge (e.g., Resi founders using real estate and debt financing backgrounds).
• Personal Frustration: Starting with problems personally encountered, particularly those where the founder has an unusual vantage point (e.g., VetCo founders noticing their veterinarian father's inefficient ordering process).
• Organic Discovery: 70% of YC's top 100 companies originated from ideas noticed organically rather than explicit ideation sessions, as explicit searching often yields "tar pit" concepts.
• Behavioral Shifts: Identifying opportunities created by recent societal changes, such as the pandemic enabling remote social platforms like Gather Town.
• Systematic Search: Analyzing successful recent companies to find viable variants in underserved regions or demographics (e.g., NuvoCargo positioning as Flexport for Latin America).
• Deep-Dive Immersion: Becoming an expert in a specific industry by physically engaging with users and existing founders to map problems (e.g., A2B founders driving to truck stops to understand fuel card needs).
• Identifying Broken Industries: Targeting large industries that appear inefficient or "broken" as prime candidates for disruption.

Strategic Recommendations

• Expertise Building: Founders should work at the forefront of valuable fields (such as startups) to develop the domain expertise necessary to spot organic startup opportunities.
• Iterative Execution: Founders should treat ideas as starting points that will morph, focusing on selecting an idea space with a high probability of finding a viable pivot rather than finding a perfect initial concept.
• Validation via Launch: Since it is difficult to determine idea quality on paper, the final validation step is launching the product to test market response directly.