David Abaev is the founder of Databar.ai; a powerful, plug-and-play data enrichment platform built for lean GTM teams. In this episode, we unpack how David is building a category-defining product in the shadow of VC-backed behemoths, his playbook for partnerships and product prioritization, and what founders get wrong about GTM data, AI agents, and scraping.From a rough AppSumo launch to scaling 1,000+ customers with under $500k raised, David brings raw insight and GTM clarity.Key Discussion Points:🔥 How a painful personal experience as an investor led to the creation of Databar📊 The impact of AISDRs on a data business📈 The role of email in GTM🚀 The difference between launching on ProductHunt and AppSumoTimecodes:0:00 - Introduction1:00 - David's Journey from Investor to Founder2:30 - Identifying the Gap in Data Tools4:00 - The Evolution of DataBar's Product Focus5:30 - Finding the Right Ideal Customer Profile (ICP)6:45 - Competing with Clay: Market Positioning8:15 - Differentiation Strategies Between DataBar and Competitors9:50 - The Impact of AI SDRs on DataBar's Business11:30 - The Importance of High-Quality Data in Outreach13:00 - Multi-Channel Strategies for Customer Engagement14:20 - Launching on Product Hunt vs. AppSumo17:00 - Key Differences Between Product Hunt and AppSumo Audiences18:30 - Recommendations for Launch Timing and Strategy20:00 - Book Recommendations for Founders20:30 - Tools and Workflows: What Needs Improvement21:00 - Nurturing Cold Leads: Strategies for Follow-Up22:30 - The Role of LinkedIn in Lead Engagement23:00 - Closing Thoughts and Where to Find DataBar24:30 - Final Advice for Founders and EntrepreneursImportant Links:You can reach David Abaev at https://www.linkedin.com/in/davidabaev1/Vishesh, your host at https://vishesh.spaceCheckout Databar at https://databar.aiP.S. If you are writing on LinkedIn https://tryjerry.com

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