How Lightyear evolved from founder-led sales to reps creating their own demand — and what broke in between | Dennis Thankachan

Lightyear is the AI-native platform automating how enterprises manage their telecom — internet connectivity, dark fiber, data center space, phone systems, and everything in between. With over $65 million raised, 400+ enterprise customers including Fortune 50 and Fortune 10 companies, and top channel partner status with four of the top ten US ISPs, Lightyear has become the system of record for enterprise network operations. In this episode, Dennis Thankachan breaks down the GTM journey: from COVID-era pivot and 30 investor rejections to a repeatable enterprise sales machine. Topics Discussed: How a COVID-forced pivot moved Lightyear from SMB connectivity to enterprise telecom

Using a pre-product consultative motion to land early enterprise logos and validate the TAM

Why 30 investor rejections came down to pitching to satisfy rather than convey truth

The discovery framework Dennis built to systematize enterprise sales before hiring reps

Demand gen channels that scaled (and outsourced shortcuts that burned money)

Hiring early reps for domain expertise and ambiguity tolerance over polish

How proprietary, hand-built telecom data positions Lightyear to win with agentic AI

GTM Lessons For B2B Founders: Stop adjusting your pitch based on investor feedback: Dennis's 30 rejections came from a specific failure mode — answering questions to satisfy rather than be honest, and adjusting the pitch based on investor feedback rather than what was best for the business. "The less and less I cared what investors thought, the more success I had with investors." Conviction is detectable. The moment founders perform it rather than have it, investors feel it.

Use pre-product consulting to write your product spec: Lightyear's first enterprise wins were fully manual — mapping workflows, rationalizing telecom rates, identifying cost savings enterprises couldn't see because there's no public gauge of market pricing. That work, Dennis said, let them "map out all of the different workflows on what we needed to build from a software product." Early customer work shouldn't just validate demand — it should define exactly what to build.

Build a discovery framework before you hire reps: Before systematizing, Dennis had to answer specific questions through manual selling: What do we discover in the first meeting? How do we demo and convey ROI? Who are the stakeholders? What are the common objections? How do we frame the initial sale for expansion? Only then could they hire a rep and build comp around it. The discovery framework is the prerequisite — not the rep.

Own long-tail keywords your exact buyer searches — then rebuild for LLMs: Lightyear targets terms like "dedicated internet access pricing" — a few hundred clicks per month, near-perfect buyer intent — ranking organically and running paid against the same terms. Dennis noted they're now rebuilding this approach for LLMs. The logic is identical: own the specific language your buyer searches, and apply it to how AI surfaces answers in your category.

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