Episodes
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Nearly half of working Americans and their families get health coverage through a small or medium-sized business — and for most of them, that means choosing from one to three rigid, off-the-shelf plans that may not fit their needs at all. Angle Health is changing that. As the first AI-native health plan and vertically integrated healthcare benefits platform, Angle Health delivers fully customizable health insurance to SMBs through an insurance broker channel — with a median renewal rate increase of just 5.5%, at a time when most small businesses are absorbing 11–20%+ increases year over year. In this episode of BUILDERS, we spoke with Ty Wang, Co-Founder and CEO of Angle Health, about the hard-won channel pivot that unlocked their distribution, the unified data infrastructure that makes custom plan design economically feasible at scale, and what it actually looks like to rebuild a broken system from first principles.
Topics Discussed:
Why going direct-to-employer failed — and what the pivot to broker-channel distribution revealed about the market
How Angle Health delivers fully custom health plans to SMBs when no legacy incumbent can do this economically
The unified data infrastructure that enables AI to automate plan design, underwriting, eligibility, and claims administration end-to-end
How Angle Health is rebuilding care pathways — moving procedures like infusions from hospital settings to in-home settings at a fraction of the cost
The discipline of running a deliberately lean team at scale, and how Angle Health decides what to prioritize
The long-term vision: a healthcare experience that is seamless, fully transparent on cost, and actually affordable for every American
GTM Lessons For B2B Founders:
Your initial distribution thesis is a hypothesis — treat it that way. Angle Health launched in 2021 going direct to small business owners and pivoted fast when it became clear the model wasn't working. The problem wasn't product-market fit — it was that SMB owners needed a trusted, unbiased advisor to guide their benefits decisions, and that role already belonged to brokers. Rather than build around that reality, Ty learned it the hard way. The lesson isn't "use channels" — it's to stay lean enough in your early distribution experiments that you can read the signal and change before you've over-indexed on the wrong motion.
The dominant access point in your market is almost always the right wedge, even if it's not where you ultimately want to play. Ty is explicit that building a health plan was never the goal — it was the mechanism. The health plan is the primary way the majority of Americans access and pay for care, so controlling that layer is what makes everything downstream possible. Founders disrupting heavily intermediated or regulated industries should map the flow of access in their market and ask: what is the chokepoint everything else runs through? That's usually the right place to start, regardless of where you eventually want to go.
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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io
The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM
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Guild AI is building the infrastructure layer that enterprises need to deploy, manage, and govern AI agents operating inside their systems. Founded by James Everingham — a five-time founder who most recently led developer infrastructure at Meta, overseeing a team of more than a thousand engineers — Guild AI is solving a problem James watched emerge firsthand inside one of the world's most complex technology organizations: what happens when agents stop being prototypes and start taking autonomous action inside your production infrastructure.
In this episode of BUILDERS, James shares what he's learned about founding companies across nearly four decades, from writing shareware in central Pennsylvania in 1987 to building developer tooling at Meta to launching Guild AI. He goes deep on why the go-to-market motion for a new infrastructure category defaults tops-down, what enterprise engineering leaders actually respond to from vendors, and the product philosophy he's refined across five companies.
Topics Discussed:
Why James founded Guild AI after watching agent adoption break at scale inside Meta
How Guild AI's go-to-market shifted from developer-led to CIO/CSO/CTO-driven — and what forced that shift
Why design partners pushed Guild AI's use cases away from software development and into legal, marketing, HR, and finance
What vendors consistently got wrong when trying to sell to James at Meta — and what actually worked
GTM Lessons For B2B Founders:
New infrastructure categories require a tops-down entry: Guild AI initially assumed a bottoms-up, developer-led motion. Their design partners revealed quickly that CIOs, CSOs, and CTOs were the ones carrying the urgency around agent governance — not individual developers. James frames the dynamic precisely: in early markets where buyers lack a clear starting point, individual contributors won't self-organize around a new tool without leadership buy-in first. The tops-down entry earns executive trust, establishes the governance framework, and creates the conditions for developers to adopt the tooling on their own terms — without a mandate.
Follow your design partners, not your original thesis: Guild AI launched with a developer productivity thesis. Their earliest design partners pulled them toward marketing, legal, HR, and finance — areas where, as James noted, there's likely more demand for agentic workflow automation than in software development itself. The team followed the signal rather than defending the thesis. For B2B founders in emerging categories, design partnerships aren't just validation — they're navigation. The customers who show up first will often redirect you toward the higher-value problem you hadn't fully seen yet.
Enterprise outreach is pattern-matched and rejected in seconds: James was receiving vendor pitches at Meta at scale. What killed deals before they started: AI-generated emails that reflected his own company's marketing language back at him with light personalization layered on top. His analogy is precise — he compares it to the first banner ads on the internet, effective for about three months before everyone learned to ignore them. What earned attention was evidence of real homework: a vendor who understood the specific friction points inside Meta's infrastructure before showing up to pitch.
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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io
The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM
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The western US faces a trillion-dollar mitigation gap, a policy window that's finally opening, and a wildfire crisis that is accelerating faster than the industry being stood up to fight it. In this episode of BUILDERS, we sat down with Allison Wolff, CEO of Vibrant Planet, to hear how she's built the platform that agencies, utilities, and policymakers use to decide where to put limited dollars before communities burn.
Topics Discussed:
How Vibrant Planet's ML-trained vegetation structure layer — built on LiDAR and refreshed with satellite imagery — provides the spatial and temporal resolution that makes fine-scale fire modeling possible
The statewide Cal Fire contract Allison announced on this episode: deploying across all 21 units and six contract counties to prioritize $1.4 billion in Prop 4 funding
How Vibrant Planet functions as the optimization engine for constrained public budgets when treating the entire western US would cost an estimated $1 trillion
How Allison testified before Congress after the Altadena fire using her platform's own post-fire analysis: $9 million in strategic forest thinning could have potentially slowed a fire that caused $40 billion in insured losses
Why Vibrant Planet invested in a lobbyist — and how that investment shaped Congressional testimony, navigated new federal contracting red tape, and helped position the company for an emerging class of outcomes-driven state mandates
How the supply certainty Vibrant Planet's platform produces can unlock private investment in adjacent industries: biochar, cross-laminated timber, prescribed fire workforce
Why wildfire is one of the only genuinely apolitical issues in Washington right now, and what that creates for companies in the space
GTM Lessons For B2B Founders:
Build the optimization layer, not just the data layer. Vibrant Planet's core product isn't a data platform — it's a recommendation engine that answers "where do we put the money to get the most impact" when treating everything is impossible and every dollar has political and scientific accountability attached to it. Allison described customers who were previously allocating treatment budgets based on whoever was loudest in the grant cycle. Vibrant Planet replaced that with objective, reproducible prioritization. In markets where buyers face constrained budgets and high-stakes tradeoffs, the product that owns the decision architecture — not just the data inputs — is the one that becomes structural.
Congressional testimony is a GTM channel. Allison testified before the Natural Resources Committee nine months before this episode using Vibrant Planet's own platform outputs: animated fire spread models, community risk profiles, thousand-community comparisons to Altadena. The result was a credibility signal and a demand signal that no case study produces. In infrastructure, climate, and regulated industries, policy engagement isn't separate from sales — it shapes the budget categories your customers are allowed to spend from. Founders in these sectors should treat time in front of legislators the same way they treat an enterprise reference customer.
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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io
The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM
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Insight Health is automating the clinical work that surrounds the patient visit — from history capture and intake to referrals and chronic disease follow-ups — so that specialty providers can deliver more care with the capacity they already have. The company completed its first fully autonomous patient interaction for an oncology practice on the West Coast and has since surpassed four million AI-powered encounters. In a recent episode of BUILDERS, we sat down with Jaimal Soni, Co-Founder & CEO of Insight Health, to hear how a founding team of engineers and practicing physicians built the credibility, infrastructure, and go-to-market motion to move fast in one of the hardest industries to sell into.
Topics Discussed:
Why up to half of a first specialty visit is history capture — and why that insight shaped the entire product roadmap
How Insight Health chose mid-market healthcare (seven to sixty providers) to close its first paid customer in under four months — while Kaiser-scale enterprises take twelve to eighteen months
Why they built an AI scribe, offered it for free, and how that decision turned EHR companies from competitors into a distribution channel How the team built Safe AI — their proprietary real-time and near-real-time evaluation framework — when no off-the-shelf evals solution existed for live patient interactions
The three-stakeholder map required to win any healthcare deal: clinical champion, administrative champion, and economic buyer
GTM Lessons For B2B Founders:
Pick your initial segment based on sales cycle math, not just market size. Insight Health chose mid-market healthcare because those organizations close in three to four months. Kaiser-scale enterprises take twelve to eighteen months and require infrastructure Insight Health simply didn't have at the time. Jaimal's framing: "You never want to go out fishing for a whale in a dinghy." The lesson is tactical — run the procurement cycle math for each segment before you pick your entry point, and match it honestly to what your team can actually support and deploy.
Post-close is where discovery actually matters most. Jaimal's biggest carry-out from seven years at Segment was that discovery is not a pre-sales activity. Economic buyers change. Deployment scope shifts. Champions lose their internal standing. The teams that treated discovery as a closed chapter after signing were the ones caught flat-footed when accounts churned or contracted. Build a standing cadence for re-qualifying the key stakeholders inside your accounts after the contract is signed.
Healthcare deals require three distinct stakeholders — and only one of them needs to be a champion. Insight Health mapped this buying committee directly from their physician co-founders' experience on the procurement side: a clinical champion (often the CMO or a lead clinician carrying the torch internally), an administrative champion responsible for day-to-day operations, and an economic buyer who signs off on spend. Critically, the economic buyer does not need to be a champion — they just need to not block the deal. Conflating these roles wastes sales cycles. Enter every enterprise deal knowing which of the three you have and which you still need to develop.
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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io
The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM
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Schematic is building the infrastructure layer between the application and the billing system — solving the entitlements problem that quietly kills commercial agility at scaling software companies. In a recent episode of BUILDERS, we sat down with Fynn Glover, Co-Founder & CEO of Schematic, to learn how a lived operator problem and 100 discovery conversations led to a conviction that entitlements management is to monetization what Auth0 was to authentication.
Topics Discussed:
The entitlements problem: why hard-coding feature access to billing plan IDs creates commercial and technical debt
How 100 discovery conversations surfaced product engineering as the true ICP — and why finance and sales couldn't see it
The two-sided market thesis: legacy companies forced to re-architect and startups who can avoid the mess
Why content was Schematic's primary GTM mechanism before the product existed
How Fynn mines transcripts for language shifts and re-runs WTP validation every six months
GTM Lessons For B2B Founders:
Use your own experience as the discovery opener: Fynn didn't lead with structured questions. He shared his story — six months to change pricing at a high-growth cybersecurity company — then listened for prospects to name the root cause before he did. When they stopped blaming the billing system and started describing the app-to-billing intersection as the problem, he had signal. Finance and sales couldn't see it. Product and engineering could, because they were building the glue.
Separate "is this a problem" from "would you buy a solution": Once Fynn had consistency on the problem, he ran a distinct step — asking whether the infrastructure felt core to the company's product or non-core, careful not to bias the answer. The more he heard "none of this is related to our actual product," the more conviction he built that companies would buy it off the shelf. Two questions, sequenced: the first surfaces pain, the second surfaces build/buy intent.
Publish before you have a product when creating a category: Fynn knew Schematic would take years to build something enterprises would trust. Content became the mechanism to attract people who believed in the problem before a product existed. His framing: content doesn't need direct ROI — it needs to bring the company energy, reputation, and market utility.
Re-run willingness-to-pay every six months: Fynn ran 10-15 WTP conversations before founding Schematic and has continued every six months with new prospects and existing customers. Pricing assumptions drift — recalibration keeps positioning grounded in what buyers actually value now.
Treat call transcripts as a language intelligence feed: One of the biggest workflow changes for Fynn has been mining call transcripts to track how buyers describe their bottlenecks over time. As the market shifts from seat-based to hybrid pricing, buyer language shifts too. Transcripts let him track that at scale rather than relying on intuition.
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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io
The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM
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KP Reddy hasz chased the same mission for 30 years: eliminate the change orders and unanswered questions that derail construction projects. Web-based construction management in 1994. A Building Information Modeling textbook in the early 2000s. Now with Zero RFI — backed by General Catalyst — he's running an AI roll-up of construction services businesses to answer every question before a shovel hits the dirt. In this episode: acquisition criteria, investor filtering, why owning the asset beats selling software, and the S-curve trap that kills most construction tech companies.
Topics Discussed:
Why founder-to-founder credibility wins acquisition conversations
The house-of-brands model and the customer logic behind it
How KP screens investors: roll-up experience, fund structure, and portfolio construction activity
The two-part SaaS survival test and when owning the asset is the better GTM move
The $5 billion, three-year deployment roadmap
The $5M ARR head fake and the S-curve plateau in construction tech
GTM Lessons For B2B Founders:
Founder-to-founder credibility closes acquisitions: The target founder has one question — how does my life get better after this? PE experience doesn't answer it. "You actually have to have been in the shoes of the founder that you're buying." Add a world-class tech stack, because these companies have already tried AI. Both matter.
You're acquiring customers, not a company: Zero RFI keeps acquired company names intact. Customers chose that boutique deliberately. "None of us want to really be reminded that our Porsche is actually owned by Volkswagen." A rebrand signals you value your brand over the relationships you just paid for.
Three gates for investor fit: Gate one — AI roll-up experience. If no, points off. Gate two — fund structure. Last check out of a 10-year fund means DPI math kills the relationship. Gate three — portfolio construction activity. GC's defense and industrial portfolio turned out to be doing massive construction. Re-industrialization made it a real qualifier.
The two-part SaaS survival test: Two conditions must both be true — enough value captured to survive, and users who can't live without it. KP's diagnostic: "Who loves Salesforce? Management loves Salesforce. The users hate Salesforce." One of two. Where both are uncertain, owning the asset is the more defensible GTM path.
Build peer advocates before you need them: The first three Zero RFI acquisitions were deliberately under 50 people — to build a cohort that shows up at the next acquisition as living proof. "It's not about me saying it. It's about other people saying it." In a show-me industry, that's the only motion that works.
The $5M ARR head fake: Construction is so problem-dense that $5M ARR comes easily — and that's the trap. "It doesn't mean you're going to get to 10, 20, 30, 40, 50." Founders who think too narrowly hit the top of the S-curve with no plan to extend the vertical. In construction tech, that plateau arrives faster than any other industry.
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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io
The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM
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Endera is one of the fastest-growing specialty bus manufacturers in the United States, supplying electric, CNG, and gas-powered buses to school districts, transit agencies, and airports. In a recent episode of BUILDERS, we sat down with John Walsh, Founder & CEO, to hear how he closed a seven-figure deposit on a bus that didn't exist and what it actually takes to sell to government.
Topics Discussed:
How John validated Endera's first product with a seven-figure deposit before building a single bus
The mechanics of government procurement — state contracts, five-year vendor pools, and how POs get printed
Why government is inflation-proof, tariff-proof, Buy America-protected — and the one thing it is not
How Endera used its legacy gas business to de-risk and fund its EV transition
Lessons on lobbyists, C-suite hiring, and matching investor profile to stage
GTM Lessons For B2B Founders:
Deposit before product: John went to a pilot customer and said, "I'm not going to tell you what you need — you tell me." He flew that operator to Canada, China, and the Midwest, wrote down what they wanted, and closed a seven-figure deposit before Endera had a single bus. A paying customer defines the blueprint so precisely that every problem becomes a good problem. His prior startup failed for the opposite reason — he built something with no validation that anyone would buy it.
Government procurement runs on state contracts, not RFPs: Win a spot on a five-year state contract and every school district or transit agency in that state can buy off it directly — no RFP required. That's how POs start printing at scale. For EV, buyers start small: a few units to prove the vehicle can serve their actual routes. Range anxiety is real. Let them touch it, prove the route, then they scale.
Government is not shutdown proof: The inflation-proof, tariff-proof, Buy America-protected stability of government revenue has one blind spot. John went through two historic shutdowns. Demand defers, it doesn't disappear, and the snapback comes — but the working capital gap is brutal. Stress-test your model against this before you need to.
Lobby with a scoped objective or don't bother: John's rule — deploy lobbyists only when a specific deal is in motion and you need to open a defined door. Without scope they bill like lawyers and wander. The highest-value play is upstream: shaping bid requirements before an RFP goes live. Government agencies copy old contracts verbatim. Getting the right language in early is far cheaper than fighting requirements after the fact.
Match investor profile to stage, not just sector: John lost early time chasing a project equity fund with surface-level relevance. His progression: Family Office at formation, Venture as the business scaled, Growth Equity once proven. Climate tech funds passed because the legacy gas business didn't fit the thesis — until EV-only competitors started going under.
An empty seat beats the wrong C-suite hire: A bad executive is a net negative. John was unambiguous — the wrong person does more damage than leaving the role open, and removal compounds the cost. Raise the bar before you fill the role.
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Sponsors:
Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io
The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co
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Don't Miss: New Podcast Series — How I Hire
Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM
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Ethic builds customized, tax-smart, and values-aligned investing infrastructure for financial advisors and institutions — a platform that lets advisors personalize across their entire book of business, simultaneously accounting for financial, values-based, and tax considerations at scale. Today, Ethic manages over $9 billion in assets across approximately 300 investment advisory businesses, from boutique wealth managers to large endowments and foundations.
In a recent episode of BUILDERS, we sat down with Doug Scott, CEO and Co-Founder of Ethic, to learn how the company spent eleven years navigating one of the most trust-dependent, risk-averse markets in B2B fintech — and why the GTM decisions that looked wrong on paper turned out to be the right ones.
Topics Discussed:
Why Ethic chose the advisor and institutional channel over consumer from day one — and what that tradeoff actually cost them early
How Ethic structured its growth in phases: from zero AUM to the $100M psychological threshold, through Series A product-market fit, to team-of-teams scale at $9B
Why the translation problem between founder-led sales and a first growth hire is more dangerous than most founders anticipate
How distribution partnerships with large financial custodians became Ethic's primary growth lever — and the specific execution failure that nearly made the model worthless
Why VC-recommended GTM playbooks can actively harm companies that operate in trust-based, relationship-driven markets
How Ethic converted unused office space into a full in-house production studio and launched a podcast that crossed 200,000 YouTube views within weeks of its first episode
GTM Lessons For B2B Founders:
Choosing the hard channel is sometimes the only viable channel. Most fintech founders default to consumer because the path from zero to one is faster. Doug went the opposite direction — targeting sophisticated financial professionals managing portfolios for families, endowments, and foundations. The tradeoff was brutal: large pools of capital sitting inside an extraordinarily trust-based, risk-averse environment where moving from zero AUM to any AUM is genuinely hard. The first major milestone wasn't revenue — it was crossing $100M in assets under management as a psychological proof point. Founders in regulated, trust-dependent markets should stop benchmarking their early traction against software companies. The milestones are different, the timeline is longer, and the motion has to reflect that reality from the start.
The founder-to-first-hire translation problem will quietly kill your GTM. When you are simultaneously the builder and the distributor, the feedback loop between what clients say and what gets built is frictionless — because it lives inside one person's head. The moment you hand off go-to-market to even one other person, that loop breaks. Doug's first growth hire is still with the company today, but the lesson Doug draws isn't about hiring well — it's about the structural work required after the hire. You need explicit mechanisms to keep client signal flowing back into the product org once the founder steps out of direct selling. Without that, you don't just lose feedback — you lose the ability to course-correct before the misalignment compounds.
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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io
The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM
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Stratyfy helps community banks and credit unions make better risk decisions — across credit decisioning, fraud detection, and bias detection — in one of the most regulated buying environments in B2B. In this episode of BUILDERS, we sat down with Laura Kornhauser, Co-founder & CEO of Stratyfy, on how she navigated three distinct chapters of the AI era, why gen AI broke her outbound motion, and the bets she's making on the next decade.
Topics Discussed:
How Stratyfy evolved through three AI chapters: explainability, bias mitigation, and the gen AI era
Why ChatGPT created confusion — not tailwinds — for ML companies in regulated industries
How AI-generated spam killed cold outreach and what replaced it
Why the "build vs. buy" trap is especially dangerous for smaller financial institutions
Stratyfy's bets on transparency, deterministic AI, and the agent-native future
Why "we need to use AI" is a dangerous mandate — and what the right frame is
How data preparation became a dedicated product and a pipeline on-ramp
GTM Lessons For B2B Founders:
Reposition within a category redefinition — don't run from it: When gen AI went mainstream, all AI became synonymous with gen AI in buyers' minds. Rather than distance from the label, Stratyfy mapped their ML-based, explainable approach onto the transparency and bias concerns gen AI had surfaced. The market's fear became their proof point. When a macro trend rebrands your category against you, map your differentiation onto buyer anxieties — don't explain why you're different from the trend.
Cold outreach is dead in trust-gated markets — inbound trust compounds instead: AI spam has saturated inboxes so thoroughly that even high-quality cold outreach no longer lands. What replaced it: warm intros, in-person presence, and relationships built over years. The payoff: Stratyfy now has bank CEOs and boards coming to them — not to evaluate a product, but to rethink their third-party AI risk management practices entirely.
Education-first content earns access that product content cannot: Stratyfy published a third-party risk management guide for the AI era — no product tie, no pitch. It helps institutions evaluate any AI vendor, Stratyfy included. In a market flooded with vendor noise, content that helps buyers do their job earns trust faster than anything product-focused.
Problem-first beats mandate-first: Organizations struggling have "use AI" as the objective. The ones succeeding do three things: find partners who understand their regulatory environment, get their data in shape, and let technology choices follow from the problem. A technology mandate keeps you in a features conversation; reframing around operational problems puts you in a partnership conversation.
Data preparation is both a revenue line and a pipeline on-ramp: Stratyfy built a dedicated data prep, cleaning, and ingestion product after recognizing that data readiness was blocking customers from unlocking AI value — from Stratyfy or anyone else. For founders whose product requires data maturity, building that upstream capability isn't a distraction. It's a faster path to production and a natural expansion motion.
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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io
The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM
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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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Exciting Instruments bootstrapped a physical instrument company, closed its first two sales before a working product existed, and delivered its first unit to a customer's bench 13 months after founding. Spun out of the University of Sheffield in September 2021, the company compresses what once required a laser-safe room into a benchtop any scientist can operate. In this episode of BUILDERS, we sat down with Tim Craggs, CEO and Founder of Exciting Instruments, on how he built a commercial engine from scratch, mapped three distinct customer archetypes before he had a sales team, and is now executing a deliberate pivot from academia into biotech and pharma.
Topics Discussed:
Bootstrapping a hard tech company through personal debt and pre-sales
Three academic ICPs — and why each required a different purchase rationale
Why 3,500 hyper-targeted followers outperformed mass reach
Grant money vs. company money: how budget source changes the sales motion
How the biopharma pivot forced a product rethink: research tool to targeted assays
Why a scientific writer is a core GTM hire in technical markets
Rob's warning: "There are enough ideas to kill a company here"
GTM Lessons For B2B Founders:
How Exciting Instruments closed sales on physics, not product. Before the finished instrument existed, Tim used a prototype — still on an optics table in a dark room — to prove the underlying science produced usable data. The early customers weren't betting on the engineering; they were betting on the physics.
How Exciting Instruments mapped three buying triggers before it had a sales team. Three distinct academic ICPs: scientists who previously had to build their own single-molecule rigs; scientists who had to collaborate with single-molecule labs and can now own the capability; and scientists who didn't know this class of experiment was possible. Three buyers, three entirely different conversations.
How Exciting Instruments built a referral engine through customers, not marketing. Edwin Antony at St. Louis has brought in three to four additional customers through conference talks and word of mouth. That initial sale came partly from a tweet to Tim's 3,500-person following — hyper-targeted, not mass. When Sci Twitter fragmented, Tim tracked where it migrated and shifted his evangelism to LinkedIn.
How Exciting Instruments changed its GTM motion — not just its pitch — moving into pharma. Academic buyers spend grant money; they need to believe the capability is real. Pharma buyers spend company money and justify the purchase against an existing suite of biophysical tools. For pharma, Exciting Instruments built specific assays for specific use cases: PROTAC ternary complexes, antibody aggregation, membrane protein analysis — each with its own targeted campaign.
How Exciting Instruments made a scientific writer a core commercial hire. The role: translate expert-level science into language accessible to all biologists. In markets where buyer fluency varies radically across segments, translation is a conversion function.
How Exciting Instruments avoided being killed by its own ideas. Rob's line: "There are enough ideas to kill a company here." The response: identify the key inflection points, align the team, and drive at those without distraction.
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
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Robert Kraal has spent nearly three decades at the core of global payments infrastructure — co-founding Bibit (acquired by RBS/Worldpay in 2004), serving as COO and founding Adyen's acquiring proposition from the ground up, and building the technology that let Adyen go direct to Visa and Mastercard by cutting out the acquiring banks entirely. When he evaluated the card network processing vendors back in 2009, he dismissed every one of them as legacy. Fifteen years later, those same vendors still dominate the market. That unchanged landscape became Silverflow. Seven years in, Silverflow processes over 1 billion transactions, is growing 10–15% month over month, and is making a focused push into the US — the world's largest credit card market.
Topics Discussed:
How a 2009 regulatory shift in Europe created the conditions that directly led to Silverflow's founding
The three-option framework facing any new acquirer: buy legacy, build yourself, or buy modern — and why only one of those options didn't exist until Silverflow
Silverflow's three customer segments — payment service providers, banks/acquirers, and large retailers — and why each demands an entirely different sales motion
How Silverflow uses Visa and Mastercard's public license application data as a real-time prospecting signal
Why selling to banks requires waiting for internal consensus to form before you can enter the conversation
The "me too" failure pattern Robert sees consistently when investing in payments companies
GTM Lessons For B2B Founders:
Size the beachhead with math, not instinct. Before building Silverflow, Robert calculated that roughly 200 new acquirers come to market annually — companies reaching the maturity point where they want to go direct to Visa and Mastercard rather than route through acquiring banks. Targeting 10% of that cohort was enough to build a viable business case. That's the kind of TAM-within-the-TAM thinking that turns a broad market thesis into a fundable, focused go-to-market.
Turn competitor stagnation into your positioning. Silverflow's core bet wasn't that the market was underserved — it was that the vendors serving it had stopped evolving. The same players Robert evaluated in 2009 are still there today, their core technology unchanged, their websites refreshed. Robert's framework for finding investable opportunities applies broadly: look for markets where the dominant players win on switching costs and inertia rather than product quality, then build what the market would choose if it had a modern alternative.
Map your sales motion to each segment's decision-making architecture. Silverflow runs the same product across three customer types, but the GTM is structurally different for each. PSPs are smaller, move fast, and tolerate risk — they sign and go live relatively quickly. Banks involve legal, compliance, security audits, and multi-layer internal sign-off, making the sales cycle considerably longer. The flip side: once a bank migrates, they're not revisiting that decision for years, making it a fundamentally different unit economics conversation than PSP deals. Robert treats these as distinct motions — not just different speeds, but different trigger conditions and different value narratives.
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
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Alex Wilson has done this before. He co-founded The Giving Block in 2018, built it into the defining platform for crypto philanthropy, and sold it to Shift4. Four years inside one of the world's largest payment processors — leading crypto and stablecoin product — revealed that nearly all crypto infrastructure is built for trading and on/off ramping, not money movement. Cyclops fills that gap, exclusively for payments companies. In this episode: selling into a 100-200 company market, how Stripe's acquisitions created urgency he pitches against, and what he got wrong about team-building the first time.
Topics Discussed:
The product gap Alex found building stablecoin solutions at Shift4
Why Cyclops has a hard ICP boundary and turns away companies outside it
Navigating multi-stakeholder buying at large payments companies
GTM playbook for a market of ~100-200 total prospects
How Stripe's acquisitions of Bridge and Privy created urgency Cyclops pitches against
Regulatory clarity (Genius Act, MiCA) shifting sales conversations
Hiring by function — and why AI keeps the marketing headcount small
GTM Lessons For B2B Founders:
The ICP boundary is the product strategy. Cyclops works only with processors, PSPs, acquirers, gateways, and orchestrators — and turns away everyone else. "The product wouldn't work very well for them." Competitors list payments alongside nine other verticals and ship the same product to all. A hard ICP isn't a constraint — it's how you build something specific enough to become the obvious choice.
In a 100-200 company market, pipeline is a relationship graph. "We'd be happy to sign a handful of those customers a year." That math eliminates ad spend — it's direct outreach and flying somewhere for an in-person whiteboarding session. If your addressable universe is this concentrated, relationship infrastructure is your GTM.
Map the buying coalition before your first call. At large payments companies, "it tends to be a mix of the strategy and sometimes even the corp dev team... but then you've got to get aligned with the product team as well, because they're actually the ones that are going to help you get it on the roadmap." Know the blocker before you walk in.
Turn the category leader's moves into urgency. Stripe's acquisitions of Bridge and Privy put every major incumbent on notice. Alex pitches into that anxiety: get stablecoin-capable without becoming a crypto company, and without a billion-dollar acquisition. Find who's scaring your ICP and position as the faster, lower-risk path.
Hire for network in sales, knowledge in engineering, and let AI compress marketing. Payments-networked people into sales and BD. Crypto/fintech backgrounds into engineering. Marketing: "We expect to only have a couple people in the marketing team for a while."
Design org structure for three to six months out. At The Giving Block, when business boomed, the instinct was to "throw bodies at things... rather than stepping back and thinking, is the team actually set up in the right way to scale?" At Cyclops, every hire gets pressure-tested against what the team needs in three to six months.
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
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BinSentry is bringing real-time inventory intelligence to one of the largest and most overlooked supply chains on the planet. The US animal feed industry alone processes over $200 billion in transactions annually — and globally, the number exceeds $1 trillion. Yet most feed mills still rely on humans manually peering into bins to estimate what's there, a workflow Ben Allen's grandfather would recognize from the 1950s. The core problem: feed behaves nothing like a uniform solid. It rat-holes, slants, and forms multiple peaks, making simple sensor-based measurement useless. BinSentry cracked accurate bin-level inventory measurement roughly six years ago using high-end time-of-flight cameras — and is now building the intelligence layer on top of that data across the world's largest animal protein operators. In a recent episode of BUILDERS, we sat down with Ben Allen, CEO of BinSentry, to learn how he sells into one of the most consolidated B2B markets in existence, why he walked away from selling to farmers entirely, and what it actually takes to close enterprise deals when your total US addressable customer base is 200 companies.
Topics Discussed:
The $1 trillion global feed mill supply chain — and why it still runs on human eyeballs and spreadsheets
Why feed inventory measurement is a harder technical problem than it looks, and how BinSentry solved it
BinSentry's deliberate decision to walk away from the farmer market entirely and go direct to enterprise
The enterprise-startup mismatch: why selling "speed and innovation" kills deals with large buyers
GTM Lessons For B2B Founders:
ICP discipline is hardest when inbound arrives from outside it. BinSentry doesn't sell to farmers — not because the demand isn't there, but because Ben spent years earlier in his career trying to make the unit economics work for geographically dispersed sole proprietors and couldn't. The decision to go exclusively enterprise — Cargill, Wayne Sanderson Farms, Aviagen — was the result of that hard-won lesson, not a whiteboard exercise. The discipline challenge Ben names is specific: you get calls, real business interest, and you still have to say no. Founders who haven't done the work of understanding why a segment breaks their CAC model will always rationalize the exception. Founders who have done that work say no faster and spend more time on accounts that can actually compound.
Enterprise buyers aren't buying innovation — they're managing career risk. Ben's most pointed observation is about what's actually happening on the other side of the table in an enterprise sales meeting. The executive evaluating your product isn't just asking whether it works — they're asking whether choosing you will make them look good or expose them. Large organizations move at scale, with serious money in motion, and the people inside them are accountable for vendor decisions. When a startup walks in and leads with speed, iteration, and how fast they can change things, an enterprise executive hears: instability, risk, and a vendor who might look different next quarter. The face you show enterprise has to lead with stability, expertise, and credibility — even when the internal reality is far more fluid. Ben's framing: you're not selling the environment you built. You're selling a corporate outcome.
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
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Collective is building what Co-Founder & CEO Hooman Radfar calls a system that runs itself: an AI-native financial back office for solopreneurs. Since launching in fall 2020, Collective has worked with over 12,000 businesses on formation, bookkeeping, payroll, and tax. Radfar previously co-founded AddThis, a web personalization platform that reached over 2 billion users, sold to Oracle for roughly $200 million. On this episode, Hooman explains how Collective decides what to automate, why it just acquired embedded accounting startup Open Ledger, and why incumbents are structurally boxed in from competing.
Topics Discussed:
How Collective decides, task by task, whether AI is ready to take over a workflow
Why incumbent accounting software is structurally slow to compete for the business owner
The origin story behind the Collective name and the collective.com domain acquisition
Why Collective acquired embedded accounting platform Open Ledger
Radfar's vision for an AI-powered "CFO in your pocket" for solopreneurs
GTM Lessons For B2B Founders:
Turn operator time-tracking into your automation roadmap, not a vibe check: Collective has instrumented task-level work for years. "Zuckerberg just announced that he's putting tracking on every machine... I've been doing that for years for every operator, and they know it." The payoff is a decision engine: "I can tell you how much time they spend on a task, what tasks are being done well, and then I map that back to cost and I can systematically go through and say, all right, is AI ready to take this?" Build the time-and-cost ledger first; it turns automation into sequencing instead of guesswork.
Treat qualification criteria as a one-way door: Collective's margins came from refusing scale. "We only did California, we only did cash based account, we only did certain services... at a point were turning away 99% of applicants because we're so focused." Hooman's caution for founders scaling fast: "be very careful on your qualification criteria... if you do that too fast, there's no undo." Widening intake feels reversible until churn and support debt compound.
Find the incumbent's channel conflict before you find your wedge: Hooman's read on why entrenched accounting software hasn't crushed AI-native challengers: their real customer is the accountant paying for the seat, not the business owner. "Their customer is the one who is an accountant who is willing to pay a dollar. Are they willing to burn that to go after our market?... At some point they're going to have an existential decision, like, who are they serving, their shareholder or their customer." Categories where the incumbent's payer and end beneficiary differ are where AI-native challengers get the most runway.
Audit your product for "reference implementation debt": Hooman named a specific design trap. "When your reference implementations are built for accountants, there is a tendency to go back to statement of cash flow, all these... the interface shouldn't be built" that way. His fix: "I want to not ever send you my statements, which you have to send to a bookkeeper, by the way, today." Defaults inherited from a workflow built for professionals, not the end buyer, are a liability to strip out, not a credibility signal to keep.
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
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Claira is building the intelligence data layer for private market investors — stitching together every data room, email thread, CRM entry, and meeting note a deal team produces, and making that institutional memory persistent, queryable, and actionable. In a recent episode of BUILDERS, we sat down with Eric Chang, Co-Founder and CEO of Claira, to learn how he's approaching category creation in a market where the status quo is, as he describes it, "not very different than a thousand years ago when people gathered in a room and someone presented their case."
Topics Discussed:
Why processing deals faster doesn't make a better investor — and what actually does
How Claira builds a firm's institutional deal memory through ambient capture, without changing how deal teams work
Eric's trust-first approach to demand creation in a category with no established budget line
Why AI model velocity creates a buyer paralysis problem — and how Claira's positioning addresses it
How Claira pivoted away from point-solution task automation after ChatGPT and Claude commoditized it
GTM Lessons For B2B Founders:
Speed is not a category. The dominant use of AI in investment today is task acceleration — faster memo writing, faster research. Eric's argument is that none of that improves investment outcomes because it doesn't address the underlying structural problem: deal teams can't systematically learn from their own history. "A lot of people are using AI to help specific tasks be a little bit faster... but that in of itself doesn't make you a better investor." If your product delivers organizational intelligence rather than individual productivity, that distinction has to be the center of your positioning — not a footnote. Buyers won't discover it on their own.
Design for ambient adoption to neutralize the "wait and see" objection. The single biggest category creation obstacle right now isn't competition — it's buyers stalling to see what foundational models ship next. Claira's answer is architectural: users CC Claira on emails, include it in Slack and Teams threads, and the institutional data layer builds itself through normal workflow. "You can just get started today with no change in what you're doing and you reap the benefits three months later." When your product generates value passively — without requiring behavior change — the cost of waiting becomes concrete and the cost of starting becomes nearly zero. That reframes the "wait or buy" calculus entirely.
Name the limits of your product before a skeptical buyer does. In a market flooded with AI hype, Eric's demand creation strategy is deliberately anti-hype. He describes conversations where he explicitly tells prospects what Claira won't do: "It's not going to come up with a growth assumption. It's not going to come up with an ROI return on the company." The predictive judgment stays with the investor. Claira captures and surfaces everything that informs that judgment. For buyers who've been burned by overbuilt promises, a founder who leads with product limitations is actually building a stronger buy signal than one who leads with capability demos. This is especially true in a market — private markets investing — where trust is a professional currency.
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
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Adonis is automating the revenue cycle for healthcare providers — replacing the BPO-heavy, human-intensive claims operations that keep back-office teams bloated and reimbursement yields chronically below what providers are owed. In a recent episode of BUILDERS, we sat down with Aman Magoon, Co-Founder and Chief Product Officer, and Chief Strategy Officer of Adonis, to learn how the team won early enterprise trust without a product to show, how they bifurcated their ICP across outpatient and inpatient settings, and why subject matter expertise — not lead gen gimmicks — has become their primary growth engine.
Topics Discussed:
How Adonis used data science diagnostics to create urgency and convert prospects before the product was built
The specific ICP attributes — customer type, size, and systems of record — that define an ideal Adonis account
Why in-person relationship building was a non-negotiable close condition in the early days and what the internal data showed
How proprietary primary research and quarterly in-person summits are driving brand authority in 2026
The "forgotten heroes" positioning strategy and the buyer psychology behind it
Why quality of pipeline beats volume in enterprise healthcare sales — and when the opposite is true
Behavioral economics as an underutilized framework for GTM teams
GTM Lessons For B2B Founders:
Use diagnostics to manufacture urgency before you have a product. In Adonis's earliest days, discovery conversations revealed that the average revenue cycle leader and CFO knew something was wrong — team sizes inflating, reimbursement yields falling short — but couldn't isolate why. Adonis responded by offering what they called a revenue cycle analysis: a data science-driven diagnostic developed internally over two to three weeks, delivered as a McKinsey-style readout to stakeholders. Assigning a data scientist to a single uncontracted account isn't scalable. But it converted prospects into early champions by demonstrating that Adonis understood their problems better than they did. The product didn't exist yet. The insight did.
Pre-qualify on problem diagnosis, not just firmographic fit. Adonis's early qualification wasn't about budget or org size. It was about whether a prospect could articulate the root cause of their revenue cycle underperformance. If they couldn't — and most couldn't — that gap became the entry point for the revenue cycle analysis. For founders selling into operationally complex problems, a buyer who can't explain their own pain is a more qualified prospect than one who can, because the diagnostic becomes the wedge.
Treat in-person touchpoints as a close condition, then measure it. Adonis made in-person relationship building a deliberate standard early on, seldom closing deals without one to three in-person meetings with clients scattered across the country. At 18 months in, they ran an internal analysis comparing win rates on deals with multiple in-person touchpoints versus those without. The improvement was, in Aman's words, "staggering." The lesson isn't that in-person helps — that's obvious. It's that Adonis institutionalized it as a requirement, tracked it, and used the data to justify the ongoing investment.
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
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Responsive (formerly RFPIO) started in 2016 with a single, unglamorous use case: helping companies respond to RFPs. Today, it's the defining platform for an entirely new enterprise software category — Strategic Response Management — covering every high-stakes response a company sends to external stakeholders: customers, prospects, analysts, investors, and regulatory bodies. In a recent episode of BUILDERS, we sat down with Ganesh Shankar, CEO and Co-Founder of Responsive, to dig into how the company evolved from RFP software into category creator, and what that journey taught him about building in markets that don't yet exist.
Topics Discussed:
How RFPIO became Responsive and why the rebrand tracked a real underlying market shift
The specific customer behavior that revealed a category far broader than RFP response
How Responsive knew the Strategic Response Management category was real — and not just a vendor narrative
Why Responsive built an academy certification program and what it's produced in the job market
The three-bucket ROI framework Ganesh uses to navigate CFO, CRO, and CIO conversations
Where Gartner sits relative to where the market actually is — and the category-naming sequence that predicted it
Why Ganesh tells founders to anchor to existing categories before attempting to create new ones
GTM Lessons For B2B Founders:
Watch how customers use your product before you name the category. Responsive didn't design Strategic Response Management — they observed it. Customers who had spent years building curated, compliance-grade knowledge inside RFPIO started applying it beyond RFPs: security questionnaires, analyst briefings, due diligence packets, investor communications, even individual emails requiring accurate company representation. The platform stayed the same; the use cases multiplied. Ganesh's signal wasn't a whiteboard exercise — it was watching the actual usage pattern and following it. If customers are consistently extracting value from your product in ways you didn't build for, that's not a feature request. It's a category signal.
Job postings requiring your product by name are the most credible category validation signal available. Ganesh tracks LinkedIn postings that list "RFPIO" or "Responsive" as a required or preferred qualification — not postings from Responsive, but from companies hiring for this skill across the market. At any given time, there are 300+ such postings. He draws an explicit parallel to Salesforce Admin as a job market credential. When your product becomes a hiring qualification rather than a software purchase, you've created a dependency that compounds: practitioners seek certification, employers require the experience, and new buyers already have internal champions who understand the platform before the sales conversation starts. Responsive formalized this with an academy certification program — originally housed in professional services — after noticing that non-customers were reaching out to get certified specifically to strengthen job applications.
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
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Omneky is an agentic advertising platform built on a thesis Hikari has been executing against since 2017 — that generative and agentic AI would eventually automate the full creative and campaign management workflow of advertising agencies. In this return episode of BUILDERS, we sit back down with Hikari Senju three years after his first appearance to examine how the platform has evolved from an early AI creative tool into a fully autonomous end-to-end advertising system, and what the arrival of truly capable agentic AI means for how businesses compete for attention.
Topics Discussed:
Why Omneky was architected from day one to compete directly with Omnicom and Publicis
How Omneky Agent delivers fully autonomous campaign generation, launch, and weekly optimization with no human input
Why AI image and video generation has now crossed the uncanny valley — and what that practically unlocks at scale
How SMB and enterprise customers share more core product needs than their size difference suggests
Why Omneky's SMB product accelerates enterprise product quality and functions as top-of-funnel for enterprise deals
How improving ad attribution is pulling advertising spend away from sales budgets across the market
Why AI-generated creative should be benchmarked against the bad creative it replaces, not against best-in-class human work
GTM Lessons For B2B Founders:
Build against a thesis before the market exists, then hold position: Hikari began ideating Omneky in 2017 and started building in 2018 — before the generative AI infrastructure to execute the vision was available. The company name and logo were chosen to signal competitive intent against Omnicom and Publicis from the start. When the technology finally arrived, Omneky was already in the pole position. Founders building in emerging categories often wait for market validation before committing to a positioning — Hikari's model inverts that. Define the end state, build toward it publicly, and let the market catch up to the thesis.
Deploy SMBs as your highest-velocity product testing environment: Hikari's framing here is precise — "there's no more critical product person than a small business that's spending their meager capital on your product." SMBs have zero tolerance for product failure because every dollar matters, and they compete across a wide field of alternatives without loyalty. That pressure produces faster, more honest feedback loops than enterprise pilots, which tend to be heavily mediated by procurement and customer success layers. Founders who prioritize enterprise-first product development often insulate themselves from the feedback signal that actually improves the core product.
Design your SMB and enterprise motions to feed each other, not compete: Omneky's structure is deliberate — the SMB product improves through constant pressure, which directly raises the quality of the product enterprise customers receive. The SMB motion also creates brand familiarity that de-risks the enterprise buying decision: Hikari notes that enterprise prospects can trial the product for the first seven days before committing to a larger deal. The SMB base isn't a separate segment — it's a product development engine and a brand awareness channel that rolls upward into enterprise conversion.
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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io
The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co
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Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM
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ASK BOSCO® is a data intelligence platform built for mid-market Shopify merchants, connecting disparate data sources to drive better e-commerce decisions at scale. In this episode of BUILDERS, we sat down with John Readman, Founder and CEO, to discuss how he built a 25,000-follower LinkedIn presence that directly closes enterprise deals, why he published a league table as a native PDF instead of gating it, and the specific mechanics behind launching a podcast to own a conversation no one else was having.
Topics Discussed:
How John built 25,000 LinkedIn followers and the tactical system behind it
Why commenting on other people's posts is a more effective growth lever than publishing original content
How a nearly-rejected inbound connection became a multi-year, six-figure enterprise customer
Why John overruled his team and published a research report as a native LinkedIn PDF instead of gating it
The Jaguar Land Rover mystery shopping experiment that proved how B2B buying processes destroy pipeline
Why walk-and-talk phone videos outperformed high-production studio content by 5x
How John identified a gap in the podcast market and built Leaders on Shopify around it
The founder exit problem hiding inside personal brand-dependent businesses
GTM Lessons For B2B Founders:
Commenting on other people's posts compounds faster than publishing your own. John spends 20–30 minutes daily commenting meaningfully on posts in his feed. His reasoning is distribution math: a meaningful comment surfaces your name and expertise to the audience of the person you're engaging, not just your own followers. Publishing original content only reaches people who already follow you. Commenting reaches everyone who follows the person you're engaging. At 25,000 followers, John treats this as a daily non-negotiable — not an occasional tactic.
Qualify your inbound or you'll miss your best customers. John's most significant LinkedIn-originated deal almost didn't happen. He had a habit of challenging connection requests that looked like lead generation attempts. A prospect who messaged about buying SEO services got the same pushback — John nearly dismissed it as a white-label pitch. It turned out to be the head of global digital marketing at Vistaprint, who needed SEO across 14 countries and had been following John's multilingual SEO content for months. He flew to Barcelona and the engagement ran for years, producing hundreds of thousands of pounds in revenue. The lesson: the qualification process is worth running, but build in a mechanism to actually hear the answer before you close the door.
Your buyers are doing their research before you know they exist. The Vistaprint deal didn't start with an outbound sequence, a form fill, or a nurture campaign. It started with a buyer consuming John's content over time, forming a view, and reaching out when they were ready. John tracks attribution in his CRM with specific categories for company LinkedIn versus personal content — and he sees this pattern repeatedly. Buyers are reading and watching long before they identify themselves. The content you post today is the pipeline you don't know about yet.
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Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io
The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co
//
Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.
Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM
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