PointOne's founders filtered ideas by asking "Why now?" The advent of large language models provided a clear technological shift that made automated timekeeping possible, explaining why it hadn't been solved before. This dramatically increases the odds of a startup succeeding.
Shure's founders pivoted back to their original EOR concept, which failed years prior due to a lack of automation infrastructure. The recent maturity of AI agents and stablecoin rails made the initial vision feasible, showing that timing and technological readiness are critical for an idea's success.
EARLI's CEO uses a counter-intuitive mental filter for new ventures: he actively tries to forget them. He believes that only the truly compelling, outstanding ideas are the ones that are impossible to forget and keep re-emerging in his mind. This passive persistence test helps separate fleeting interests from foundational concepts.
Before building or fundraising, validate if your idea aligns with current market trends by consulting one well-connected expert. This "zeitgeist check" quickly confirms if your concept is perceived as "hot or not," providing crucial early validation before investing significant resources and time.
The barrier to building AI products has collapsed. Aspiring builders should create a one-hour prototype to focus on the truly hard part: validating that they're solving a problem people actually want fixed. The bottleneck has shifted from technical execution to user validation.
The pace of AI-driven innovation has accelerated so dramatically that marginal improvements are quickly rendered obsolete. Founders must pursue ideas that offer an order-of-magnitude change to their industry, as anything less will be overtaken by the next wave of technology.
Before pursuing a business idea, run it through a simple filter. Ask: 1) Is AI already replacing this? 2) Is the industry shrinking? 3) Is it easier to lose money than to make it? Answering 'yes' to any of these questions is a strong signal to abandon the idea and find a different vehicle for success.
In a crowded market, the most critical question for a founder is not "what's the idea?" but "why am I so lucky to have this insight?" You must identify your unique advantage—your "alpha"—that allows you to see something others don't. Without this, you're just another smart person trying things.
Instead of starting with easy MVP features, PointOne built its complex AI time capture before manual entry. This strategy validates the core technical moat and riskiest assumption upfront, preventing wasted effort on a product that is ultimately not viable.
Instead of searching for a market to serve, founders should solve a problem they personally experience. This "bottom-up" approach guarantees product-market fit for at least one person—the founder—providing a solid foundation to build upon and avoiding the common failure of abstract, top-down market analysis.
The ease of AI development tools tempts founders to build products immediately. A more effective approach is to first use AI for deep market research and GTM strategy validation. This prevents wasting time building a product that nobody wants.