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Episode

Finding your first 10 customers, with Andy Lee from DeepTrace

Podcast
Scaling DevTools
Published
Mar 29, 2026
Duration seconds
2731
Processing state
processed
Canonical source
https://podcast.scalingdevtools.com/episodes/andy-lee
Audio
https://media.transistor.fm/0e6993d0/23faa56e.mp3
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Markdown
/podcast/scaling-devtools/finding-your-first-10-customers-with-andy-lee-from-deeptrace.md

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Summary

Technical founders can treat sales as an engineering problem by applying high-volume outbound strategies and data-driven targeting. Andy Lee shares how DeepTrace used LinkedIn automation and persona research to secure enterprise customers without a traditional sales team.

Topics

  • DevTools
  • Go-to-Market Strategy
  • Outbound Sales
  • Technical Founders
  • AI Reliability
  • Lead Generation
  • Startup Growth
  • Incident Response

Highlights

  • Main idea: Technical founders should leverage their domain expertise to build trust, as engineers prefer buying from peers who understand their pain points
  • Practical takeaway: Use tools like Clay and Paradigm to hydrate lead lists with signals like 'previous startup experience' to increase outreach hit rates
  • Failure mode: Over-reliance on complex procurement processes can kill early-stage startups; prioritize 'rebel' personas who value speed over bureaucracy
  • Main idea: Early-stage sales is as much about the founder's personal brand and 'scrappiness' as it is about the product's features
  • Practical takeaway: High-volume outbound is a brute-force necessity for the first ten customers to build momentum and validate the market

Chapters

  1. 1:00 Selling the Founder, Not Just the Product: How building personal relationships and demonstrating scrappiness helped secure a Fortune 1000 customer.
  2. 4:20 The Engineering Approach to Sales Volume: Why technical founders often underrate the necessity of high-volume outbound activity to find early traction.
  3. 7:40 Leveraging Pain Points and War Stories: Using emotional connection and shared technical struggles to drive engagement during discovery calls.
  4. 14:50 Optimizing LinkedIn Outreach Conversion: Analyzing the conversion rates of LinkedIn connection requests and message responses in a cold outbound campaign.
  5. 21:40 Targeting Personas via Online Presence: Using signals like 'startup background' and personality traits to refine lead selection and increase hit rates.
  6. 25:05 Automating Lead Enrichment with AI: Using the X API and AI-driven spreadsheets to identify engineers complaining about incident response.
  7. 35:10 Pricing Strategies for Early Stage DevTools: Navigating the complexities of pricing models while still iterating on product-market fit.
  8. 38:40 The Future of AI-Driven Incident Response: How DeepTrace uses machine learning and statistical methods to augment LLM capabilities in production monitoring.