Wired to Scale

Desiree Jessica Pely used to find alpha for hedge funds by mining job ads. Now she runs Alfa and uses that same data to build sales pipeline. We talked about why Cursor recommends buying GTM tools over building them. She also shared why Alfa moved from enterprise sales to product-led. If you have target accounts and no pipeline, start at minute 19!

Brian Stack took Oak Tree public in 1986 without a dollar of outside funding. Decades later, he's spent 26 years building LeapXL, a platform that builds applications without writing application code at all.

In this episode, Brian breaks down why technical debt is costing US companies $2.4 trillion, and why AI-built systems are accumulating debt 40% faster than manually built ones. He walks through the hospital blood lab crisis that changed how he thought about software, the difference between probabilistic and deterministic AI, and why he believes most companies are modernizing their systems into obsolescence.

He also shares the pricing lesson from the 1980s that most founders still get wrong.

A conversation about IPOs without VC money, 40 years of AI hype cycles, and why "cheaper" isn't always the win you think it is.

Atul Raghunathan is back on Wired to Scale, two years after his first appearance. Last time, Hyperbound was a new AI sales roleplay platform. Now it does $1M months, and customers are ripping out Gong to replace it.

Atul walks through what actually changed. They raised a $15M Series A in eleven days, and close to a hundred people from their own customer base invested. Roleplay went from the whole product to about a quarter of it. The rest is skill gap detection, call scoring, and just-in-time coaching before live deals.

We get into the part most founders get wrong. The way Atul and his co-founder sold was not the way their reps could sell. Founder selling runs on belief and roadmap. Rep selling runs on what the product does today. He breaks down the three things they had to fix to build a repeatable motion, plus the challenger-style discovery board they use to disqualify fast.

Then there's the prediction. Atul thinks conversational intelligence as a category is finished, and he wants two years to prove it.

What we cover:

• Selling a vision versus selling as the category leader in a ten-way RFP
• The cross-sell skill gap costing companies 30 to 40 percent of yearly growth
• Going from $1M in a year to $1M in a month to $1M in a week
• The three things that turned chaos into a repeatable sales process
• Controversial discovery statements and the enablement question that DQs a deal
• Firing yourself as a founder, and why nothing stays fixed for more than six months
• 17 pivots, an email personalization product, and the case for pivot hell
• Why he built Hyperbound to make himself a better salesperson first

In this episode we break down the key topics shaping the next era of go-to-market strategies: how AI is moving beyond average signals to provide real, contextual insights; the importance of longitudinal data ingestion for accuracy; and the shift from mass messaging to personalized, perspective-driven outreach that resonates. Zach shares real-world success stories, including landing a million dollar deal with Workday and live demos that turned prospects into customers on the spot, demonstrating how AI-backed insights can revolutionize sales and marketing teams everywhere.

Learn more: https://www.syftai.com

A deepfaked CFO joined a company meeting and walked away with $25 million. It happens more than you think and companies stay quiet about it.

In this episode, Sandra Cai, founder of Plurall, breaks down the billion dollar deepfake fraud problem, how she built her first profitable startup in high school, her unconventional "hackathon" hiring method, and why the real value of accelerators isn't what you think.

Learn more: plurall.ai