Aditya Sharma was watching founders waste days doing competitive analysis the old-fashioned way - Googling alternatives, bookmarking tools, building spreadsheets by hand. So he built Productive AI, a platform that uses semantic search to scan GitHub's entire open source ecosystem and deliver feature-level competitor comparisons in seconds.

In this episode of the Lead with AI, Aditya walks Dr. Tamara Nall through how the platform identifies projects that solve the same problem even when they use completely different language, reveals how he used Productive AI on itself and discovered dozens of similar open source projects he had never heard of, and shares why he believes AI should teach users how to think better rather than follow suggestions blindly.

Want to try instant AI-driven competitive analysis for your next build? Visit Productive AI.netlify.app to search your product description against GitHub's open source library and see what you've been missing.

Follow or Subscribe to Lead with AI Podcast on your favorite platforms:

Website: LeadwithAIPodcast.com | Apple Podcasts: Lead-with-AI | Spotify: Lead with AI | Podbean: Lead-with-AI-Podcast | YouTube: @LeadwithAIPodcast | Facebook: Lead with AI | Instagram: @LeadwithAIpodcast | TikTok: @LeadwithAIpodcast | Twitter (X): @LeadwithAI

Follow Dr. Tamara Nall:

LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: [email protected]

Follow Aditya Sharma (Founder and AI Innovator, Productive AI):

LinkedIn: @Aditya-Sharma123 | Website: Extinctsion.Netlify.App | YouTube: @TechoCity3264 | Productive AI: ProductiveAI.Netlify.App | Email: [email protected]