Podcast
BUILDERS
Hosted by Front Lines Media · EN
Welcome to BUILDERS — the show about how founders get new technology adopted.
Each episode features a founder on the front lines of bringing new tech to market, sharing how they broke into their industry, earned early believers, built credibility, and unlocked real technology adoption.
BUILDERS is part of a network of 20 industry-specific shows with a library of 1,200+ founder interviews conducted over the past three years.
For the full network, visit FrontLines.io.
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www.FrontLines.io/FounderLedGrowth — Founder-led Growth as a Service. Launch your own podcast that drives thought leadership, demand, and most importantly, revenue.
78episodes
Episodes
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How Claira creates demand in a category with no budget line by selling the future investment process, not a product | Eric Chang
1w ago00:21:52Summary readyClaira 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 doesHow Claira builds a firm's institutional deal memory through ambient capture, without changing how deal teams workEric's trust-first approach to demand creation in a category with no established budget lineWhy AI model velocity creates a buyer paralysis problem — and how Claira's positioning addresses itHow Claira pivoted away from point-solution task automation after ChatGPT and Claude commoditized itGTM 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.// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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
Summary
How Adonis positioned revenue cycle staff as "forgotten heroes" to win enterprise healthcare deals | Aman Magoon
1w ago00:19:34Summary readyAdonis 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 builtThe specific ICP attributes — customer type, size, and systems of record — that define an ideal Adonis accountWhy in-person relationship building was a non-negotiable close condition in the early days and what the internal data showedHow proprietary primary research and quarterly in-person summits are driving brand authority in 2026The "forgotten heroes" positioning strategy and the buyer psychology behind itWhy quality of pipeline beats volume in enterprise healthcare sales — and when the opposite is trueBehavioral economics as an underutilized framework for GTM teamsGTM 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.// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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
Summary
How Responsive validated a new software category using LinkedIn job postings instead of analyst reports | Ganesh Shankar
1w ago00:23:43Summary readyResponsive (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 shiftThe specific customer behavior that revealed a category far broader than RFP responseHow Responsive knew the Strategic Response Management category was real — and not just a vendor narrativeWhy Responsive built an academy certification program and what it's produced in the job marketThe three-bucket ROI framework Ganesh uses to navigate CFO, CRO, and CIO conversationsWhere Gartner sits relative to where the market actually is — and the category-naming sequence that predicted itWhy Ganesh tells founders to anchor to existing categories before attempting to create new onesGTM 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.// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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
Summary
How Omneky competes on distribution as AI commoditizes ad creative production | Hikari Senju
1w ago00:21:51Summary readyOmneky 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 PublicisHow Omneky Agent delivers fully autonomous campaign generation, launch, and weekly optimization with no human inputWhy AI image and video generation has now crossed the uncanny valley — and what that practically unlocks at scaleHow SMB and enterprise customers share more core product needs than their size difference suggestsWhy Omneky's SMB product accelerates enterprise product quality and functions as top-of-funnel for enterprise dealsHow improving ad attribution is pulling advertising spend away from sales budgets across the marketWhy AI-generated creative should be benchmarked against the bad creative it replaces, not against best-in-class human workGTM 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.// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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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How ASK BOSCO tracks founder-led LinkedIn content as a distinct CRM attribution category | John Readman
1w ago00:21:49Summary readyASK 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 itWhy commenting on other people's posts is a more effective growth lever than publishing original contentHow a nearly-rejected inbound connection became a multi-year, six-figure enterprise customerWhy John overruled his team and published a research report as a native LinkedIn PDF instead of gating itThe Jaguar Land Rover mystery shopping experiment that proved how B2B buying processes destroy pipelineWhy walk-and-talk phone videos outperformed high-production studio content by 5xHow John identified a gap in the podcast market and built Leaders on Shopify around itThe founder exit problem hiding inside personal brand-dependent businessesGTM 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.// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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
Summary
How BusRight transitioned out of founder-led sales at $1M ARR | Keith Corso
2w ago00:20:49Summary readySchool buses move 50 million students every day across the United States — more riders than all planes, trains, and public transit buses combined. Most of those buses are still routed using paper sheets with handwritten notes about yellow mailboxes. In a recent episode of BUILDERS, we sat down with Keith Corso, Co-Founder & CEO of BusRight, to learn how he built the logistics platform digitizing student transportation, survived a complete market shutdown during COVID, and scaled a sales team in one of the most distinctive institutional buying environments in B2B.Topics Discussed:Why school buses are the largest mass transit network in America — and why half a million drivers are still navigating with paperHow BusRight operated in a legal gray zone and helped change state-by-state tablet legislationSurviving COVID when the entire market went dormant overnight — and the temporary logistics pivot that kept the team intactWhy transportation directors are a structurally different buyer than the rest of the school districtThe competitive set: 50% pen and paper, 50% legacy routing software that's been around 30 to 40 yearsTransitioning out of founder-led sales at $1M ARR and what Keith learned from a failed first AE hireGTM Lessons For B2B Founders:In regulated markets, field evidence is your most effective policy instrument: When BusRight discovered tablets were restricted in Massachusetts and other states, Keith didn't pull the hardware. He collected testimony from drivers who said the tablet made them safer and more effective, built relationships with state directors of student transportation across the country, and connected those officials to outcomes already happening on the ground. No lobbyists — direct relationships and documented results. The legislation followed. Founders in regulated verticals tend to treat policy as a blocker to route around. BusRight treated it as a GTM surface: if the product genuinely helps end users, that proof is eventually more persuasive to legislators than any advocacy spend.The transportation director is a structurally isolated buyer with real budget autonomy: Most school district purchases require broad stakeholder alignment, curriculum background, and public procurement processes. Transportation is different. As Keith explained, transportation directors are often physically separated from the rest of school administration — in a basement, a separate site, or a trailer — and most school administrators come from education and curriculum backgrounds, not logistics. That separation creates genuine purchasing autonomy. The implication for GTM: the sales motion for transportation is not the same as selling to a school district, seasonality is minimal, and urgency is self-generated (driver no-shows at 4:15am, parents threatening to fire the superintendent on Facebook). Founders entering institutional or government markets should map stakeholder structures carefully before assuming a standard enterprise motion applies.//Sponsors:Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership.www.FrontLines.ioThe 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 HireSenior 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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How Estuary identifies tire-kicker enterprise deals before wasting a full POC cycle | David Yaffe
2w ago00:20:41Summary readyEstuary is a right-time data company building infrastructure that delivers both streaming and batch capabilities — so companies can move and transform data at whatever latency their use case demands, from millisecond-level real-time pipelines to traditional batch analytics. With a growing enterprise customer base and NRR at 150%, Estuary is expanding beyond its PLG roots to go upmarket. In a recent episode of BUILDERS, we sat down with David Yaffe, Co-Founder and CEO of Estuary, to learn how the company was built from internal tooling his previous team couldn't source externally, why they deliberately priced to leave money on the table, and how AI is collapsing the historical divide between the two buyer personas that defined the data infrastructure market for a decade.Topics Discussed:How Estuary was built from internal infrastructure David's team couldn't find anywhere elseWhy the early GTM deliberately led with a use case that undervalued the product — and why that was the right callHow Estuary hit 150% NRR without a CSM teamThe pricing decision to actively lower prices to unlock larger use casesHow AI has reshaped Estuary's ICP by removing the divide between software engineers and data engineersHow to identify tire-kickers early and stop wasting cycles on deals that won't closeGTM Lessons For B2B Founders:Lead with the most repeatable sale, not the most impressive one. Estuary's early motion focused entirely on the analytics use case — moving data from source to warehouse. David was explicit that this undersold the platform: it's a batch workflow that didn't touch Estuary's real technical differentiation in streaming. He pursued it anyway because it was legible, budgeted, and repeatable. The modern data stack wave meant buyers already had line items for it. For founders with technically deep products, the instinct to lead with full capability is usually wrong early. Find the use case that maps to an existing budget category and build volume there first.Your first buyer doesn't need to be your best buyer — design for internal spread. Estuary routinely lands with a marketing or analytics team that has zero interest in streaming or low-latency data. What converts those small deals into meaningful revenue is what happens after: that team hears about an internal use case that does require real-time data, and they become the internal evangelist. David described this as a core part of how NRR compounds. The implication: make sure your product is legible enough that a non-technical champion can describe its value to a team they've never worked with.Price to accelerate adoption, not to extract maximum value upfront. Estuary has deliberately kept prices below what the market might bear, and has lowered prices at least once specifically to stimulate larger use cases — accepting a short-term revenue hit to do it. David's reasoning: customers who feel they're getting a fair deal don't build internal replacements or evaluate alternatives. At scale, he described watching usage hit a ceiling and wanting to get ahead of the moment when a customer thinks the platform is too expensive. Founders building usage-based or expansion-driven businesses should ask whether their pricing is a growth accelerant or a growth ceiling.// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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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How Hi Auto reframed drive-thru AI from headcount reduction to throughput and upsell capture | Roy Baharav
2w ago00:25:25Summary readyHi Auto is on a mission to automate the drive-thru for quick service restaurants using voice AI. After pivoting twice — first from automotive voice AI, then from contactless kiosks — the team found their real wedge when Burger King Europe told them that replacing the drive-thru order taker, not adding another interface to a kiosk, was the problem worth solving. In a recent episode of BUILDERS, we sat down with Roy Baharav, CEO and Co-Founder of Hi Auto, to learn how they built a true vertical AI solution from scratch, landed Checkers and Rally's as their first brand partner, and scaled to work with some of the largest QSR chains in the world.Topics Discussed:How Hi Auto pivoted twice before landing on the drive-thru as the right wedgeWhy Checkers and Rally's took the bet during COVID and what that first deployment looked likeThe real reason QSR operators delay — and why it has nothing to do with ROI mathHow Hi Auto's positioning evolved from accuracy and completion rate to ROI, stability, and franchise operabilityThe dual labor pressure facing QSR: 100-300% annual employee turnover plus rising minimum wagesWhy the primary value of drive-thru AI is consistency and upsell capture, not headcount reductionWhat makes restaurant tech one of the hardest GTM motions in B2BHow regulatory tailwinds like California's $20 minimum wage are compressing the adoption timelineGTM Lessons For B2B Founders:Let customer rejection redirect the product, not just the pitch. Hi Auto's drive-thru pivot didn't come from internal strategy — it came from Burger King Europe rejecting their contactless kiosk prototype and telling them why. The kiosk failed because it added a voice interface on top of something that already replaced labor. The drive-thru worked because it replaced an actual person. Roy's team took that signal back to their investors, told them two ideas were wrong, and pivoted the company. For founders selling into industries they don't operate in, early pilots should be structured as listening exercises, not validation exercises. The buyer's unsolicited redirect is often the product insight worth more than everything else in the meeting.The right sales frame is replacement, not augmentation. Hi Auto's kiosk prototype stalled because it layered capability onto an existing interface without eliminating any cost. The drive-thru worked because it performed a discrete, time-accountable labor function — order taking — that could be directly measured against headcount. Roy noted that even the labor story is more nuanced than straight reduction: automating order taking frees staff to expedite orders, which shortens line times and increases throughput. Founders pitching AI or automation into cost-pressured verticals need to answer one question before anything else: what specific, measurable cost or function does this replace? Augmentation is a feature conversation. Replacement is a budget conversation.// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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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How The Biological Computing Co timed its stealth exit | Alexander Ksendzovsky
2w ago00:19:12Summary readyTwo months before this conversation, The Biological Computing Co (TBC) was still in stealth. Three years of building, rebranding, and accumulating experimental data — all before showing the world a single thing. In this episode of BUILDERS, we sat down with Alexander Ksendzovsky, Co-Founder and CEO of TBC, to hear how a neurosurgeon-scientist turned a 20-year research obsession into a commercial AI optimization company. TBC grows living neuron cultures, connects them via electrodes, and derives software tools from the biology's computation — currently applied to video generation model optimization, with language models and world models on the roadmap. The ICP they're selling to today is not the one they envisioned at founding. The name they operate under is a deliberate category ownership move. And the stealth-to-launch decision was made entirely on one criterion: enough data to show the world, not just tell it.Topics Discussed:How TBC uses living neuron cultures and electrode arrays to derive optimization techniques for AI video generation models that silicon-based approaches can't replicate Why TBC's current ICP — video gen model companies that have exhausted standard optimization techniques — is not the customer they anticipated when they founded the company TBC's two-track marketing framework: awareness and credibility, and why sequencing them correctly matters for deep-tech GTM The stealth-to-launch decision: the specific data threshold that triggered TBC's emergence after three years, and why they would not have come out earlier How investor pitch feedback — not customer feedback — drove TBC's rebrand from academic positioning to product-forward identity Category creation in a nascent field: TBC's approach to building the ecosystem rather than fighting for definitional control How TBC structures hiring and team cadence to keep exploratory research culture from blocking commercialization GTM Lessons For B2B Founders:Time your launch to proof, not momentum. TBC spent three years in stealth before going public — not because they feared competitors, but because they needed enough experimental data to generate belief rather than just curiosity. Alex's framing: "If we had done this two years ago, we had some interesting experiments, but people would think it's just research at that point. We really needed people to see that we're building real tools, they're productized and they're ready for production now." For deep-tech founders, the stealth exit decision isn't about market timing — it's about whether your evidence base crosses the threshold from interesting to credible.Investor pitch feedback is your earliest positioning stress test. TBC's rebrand wasn't triggered by customer research — it was triggered by investors consistently not understanding what they were building. Both founders came from academic neuroscience and were unconsciously pitching in that register. Alex: "We learned very early on through pitching to investors that the way we were positioning it was way too academic. We had to beat that out of ourselves." For pre-revenue founders, if investors with context can't quickly grasp your value proposition, buyers with less context won't either. Fix the positioning before you scale the outreach.// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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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How UnityAI ran 5 simultaneous market experiments to find its ICP after abandoning health systems | Edmund, CEO of UnityAI
3w ago00:22:13Summary readyEdmund spent years as Chief Data Officer at HCA Healthcare — 200 hospitals across America — watching a parade of vendors pitch solutions to problems that didn't exist in his environment. He saw the pattern clearly: founders who had never been inside a complex healthcare system, selling point capabilities with no understanding of how clinical workflows actually interconnect. When the AI moment arrived, he left with a PhD in AI and enough operational scar tissue to know exactly what not to build.In this episode of BUILDERS, Edmund Jackson, CEO of UnityAI, breaks down why healthcare AI keeps producing expensive failures, how UnityAI found its ICP after abandoning health systems entirely, and the specific go-to-market sequencing that lets them sell finished solutions into slow-moving enterprise accounts without dying in a co-development process.Topics Discussed:What vendors consistently get wrong pitching into complex healthcare environments — and why ignorance of operational detail is the core failureThe three structural reasons clinical scheduling is far harder than any outside analogy suggestsWhy IBM Watson, Babylon AI, and Olive AI all failed the same way — and what the pattern revealsHow UnityAI ran five simultaneous market experiments to find its ICP after health systems proved unsustainableWhy PE-backed ambulatory roll-ups became the beachhead: 70–150 sites, national scale, PE efficiency mandates, and real capitalThe hospital delamination macro trend and why it makes UnityAI's addressable market structurally larger over timeHow UnityAI enters on voice AI demand and expands into full orchestration — and why the voice is just the edgeWhy co-developing with health systems kills startups, and the right sequencing to eventually sell into themGTM Lessons For B2B Founders:Sell workflows, not capabilities — and map every prerequisite before you pitch. Edmund identified this as the single common thread running through healthcare AI's most expensive failures: IBM Watson, Babylon AI, Olive AI. "The common failure mode is selling a capability, not a workflow." A voice AI, an RPA tool, a scheduling API — none of these land in a clinical environment without being integrated end-to-end into the actual task. Edmund's framework for what that means: What task am I going to achieve? What are all the prerequisites for that task? Who's doing it? How are they doing it? How does it all interconnect? Founders selling into operationally complex environments need to answer all of those questions before they pitch — not after.VC incentives and healthcare complexity are structurally misaligned — and that's your moat. Edmund is pointed about why well-funded companies keep failing: "In Silicon Valley you want to solve this huge giant TAM issue because that's how you raise money. In healthcare you can't actually fully do that... You can make a big promise, but you can't deliver on it in reality." The companies that raised $900M–$1B and sold for parts made the same mistake: they pitched the maximum addressable outcome to get funded, then couldn't execute against the operational complexity underneath. The founder who correctly sizes what is tractable, proves it, and expands from there has a structural advantage that over-capitalized competitors cannot easily replicate.// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe 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/53yCHlPfLSMFimtv0riPy
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