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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
By Vishesh DuggarDavid 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