In a crowded space like voice AI, pitches sound generic. The founder of April found that investors who converted were those who used the product before the first meeting. The direct experience of a working product bypassed skepticism and made fundraising calls short and successful.
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Instead of a functional prototype, Mirror's founder raised a seed round with a "smoke and mirrors" version: an animated video behind one-way glass. This focused on selling the *feeling* and brand experience to investors, proving demand before spending capital on complex engineering.
Generic use cases fail to persuade leadership. To get genuine AI investment, build a custom tool that solves a specific, tangible pain point for an executive. An example is an 'AI board member' trained on past feedback to critique board decks before a meeting, making the value undeniable.
Founders can use AI pitch deck analyzers as a "sparring partner" to receive objective feedback and iteratively improve their narrative. This allows them to identify weaknesses and strengthen their pitch without burning valuable relationships with real VCs on a premature version.
After a sales pitch to a major influencer failed, a 10X engineer built a working version of the proposed app in just four hours. Putting the functional product directly in the influencer's hands immediately vaulted 10X back to the top of their list, demonstrating that rapid AI-enabled prototyping is a powerful sales tool.
Instead of walking into a pitch unprepared, Reid Hoffman advises founders to use large language models to pre-emptively critique their business idea. Prompting an AI to act as a skeptical VC helps founders anticipate tough questions and strengthen their narrative before meeting real investors.
Instead of creating traditional pitch decks he wasn't skilled at, Perplexity's CEO successfully raised funds from prominent investors like Yann LeCun by simply sending a link to the product. This highlights that a compelling, working product can be the most effective fundraising tool.
Verkada sold its entire cloud platform not on a daily feature, but on the 'magic' of texting a live camera link. This simple action showcased the platform's modern capabilities in a way legacy systems couldn't, creating an unforgettable 'aha' moment that made the entire value proposition click for buyers.
When introducing AI to a skeptical executive, a detailed, multi-week rollout plan can be overwhelming and trigger resistance. A more effective approach is to showcase one specific AI capability within an existing tool to solve a tangible problem. This "dip your toe in the water" approach builds comfort and demonstrates immediate value.
Use AI coding tools to build a prospect's requested feature or app in real-time during a sales call. This live demonstration of capability is a powerful sales flywheel that blows clients' minds, as most have never seen their ideas realized so quickly.
Crisp.ai's founder advocates for selling a product before it's built. His team secured over $100,000 from 30 customers using only a Figma sketch. This approach provides the strongest form of market validation, proving customer demand and significantly strengthening a startup's position when fundraising with VCs.
