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 AppSumo

Timecodes:

0:00 - Introduction

1:00 - David's Journey from Investor to Founder

2:30 - Identifying the Gap in Data Tools

4:00 - The Evolution of DataBar's Product Focus

5:30 - Finding the Right Ideal Customer Profile (ICP)

6:45 - Competing with Clay: Market Positioning

8:15 - Differentiation Strategies Between DataBar and Competitors

9:50 - The Impact of AI SDRs on DataBar's Business

11:30 - The Importance of High-Quality Data in Outreach

13:00 - Multi-Channel Strategies for Customer Engagement

14:20 - Launching on Product Hunt vs. AppSumo

17:00 - Key Differences Between Product Hunt and AppSumo Audiences

18:30 - Recommendations for Launch Timing and Strategy

20:00 - Book Recommendations for Founders

20:30 - Tools and Workflows: What Needs Improvement

21:00 - Nurturing Cold Leads: Strategies for Follow-Up

22:30 - The Role of LinkedIn in Lead Engagement

23:00 - Closing Thoughts and Where to Find DataBar

24:30 - Final Advice for Founders and Entrepreneurs

Important Links:

You can reach David Abaev at https://www.linkedin.com/in/davidabaev1/

Vishesh, your host at https://vishesh.space

Checkout Databar at https://databar.ai

P.S. If you are writing on LinkedIn https://tryjerry.com