BUILDERS

Front Lines Media
  • ০.০ (০)
  • উদ্যোগ
  • দ্বি-সাপ্তাহিক আপডেট

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. Brought to you by:  www.FrontLines.io/FounderLedGrowth — Founder-led Growth as a Service. Launch your own podcast that drives thought leadership, demand, and most importantly, revenue.

  1. How Ethic rejected VC-prescribed enterprise GTM playbooks and built a motion around financial advisor psychology instead | Doug Scott

    ১০ ঘণ্টা আগে

    How Ethic rejected VC-prescribed enterprise GTM playbooks and built a motion around financial advisor psychology instead | Doug Scott

    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. // 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

    ২১ মিনিট
  2. How Stratyfy used a vendor-agnostic AI risk guide to generate trust with buyers who weren't ready to purchase | Laura Kornhauser

    ১০ ঘণ্টা আগে

    How Stratyfy used a vendor-agnostic AI risk guide to generate trust with buyers who weren't ready to purchase | Laura Kornhauser

    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. // 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

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

    ১৫ ঘণ্টা আগে

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

    Lightyear is the AI-native platform automating how enterprises manage their telecom — internet connectivity, dark fiber, data center space, phone systems, and everything in between. With over $65 million raised, 400+ enterprise customers including Fortune 50 and Fortune 10 companies, and top channel partner status with four of the top ten US ISPs, Lightyear has become the system of record for enterprise network operations. In this episode, Dennis Thankachan breaks down the GTM journey: from COVID-era pivot and 30 investor rejections to a repeatable enterprise sales machine. Topics Discussed: How a COVID-forced pivot moved Lightyear from SMB connectivity to enterprise telecom Using a pre-product consultative motion to land early enterprise logos and validate the TAM Why 30 investor rejections came down to pitching to satisfy rather than convey truth The discovery framework Dennis built to systematize enterprise sales before hiring reps Demand gen channels that scaled (and outsourced shortcuts that burned money) Hiring early reps for domain expertise and ambiguity tolerance over polish How proprietary, hand-built telecom data positions Lightyear to win with agentic AI GTM Lessons For B2B Founders: Stop adjusting your pitch based on investor feedback: Dennis's 30 rejections came from a specific failure mode — answering questions to satisfy rather than be honest, and adjusting the pitch based on investor feedback rather than what was best for the business. "The less and less I cared what investors thought, the more success I had with investors." Conviction is detectable. The moment founders perform it rather than have it, investors feel it. Use pre-product consulting to write your product spec: Lightyear's first enterprise wins were fully manual — mapping workflows, rationalizing telecom rates, identifying cost savings enterprises couldn't see because there's no public gauge of market pricing. That work, Dennis said, let them "map out all of the different workflows on what we needed to build from a software product." Early customer work shouldn't just validate demand — it should define exactly what to build. Build a discovery framework before you hire reps: Before systematizing, Dennis had to answer specific questions through manual selling: What do we discover in the first meeting? How do we demo and convey ROI? Who are the stakeholders? What are the common objections? How do we frame the initial sale for expansion? Only then could they hire a rep and build comp around it. The discovery framework is the prerequisite — not the rep. Own long-tail keywords your exact buyer searches — then rebuild for LLMs: Lightyear targets terms like "dedicated internet access pricing" — a few hundred clicks per month, near-perfect buyer intent — ranking organically and running paid against the same terms. Dennis noted they're now rebuilding this approach for LLMs. The logic is identical: own the specific language your buyer searches, and apply it to how AI surfaces answers in your category. // 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

    ২৬ মিনিট
  4. How Exciting Instruments went from university spinout to first instrument on a customer's bench in 13 months | Tim Craggs

    ১৫ ঘণ্টা আগে

    How Exciting Instruments went from university spinout to first instrument on a customer's bench in 13 months | Tim Craggs

    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. // 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

    ২০ মিনিট
  5. How Silverflow reached 10–15% month-over-month transaction growth by targeting the one infrastructure layer every bank and acquirer uses but no modern vendor had rebuilt | Robert Kraal

    ১৬ ঘণ্টা আগে

    How Silverflow reached 10–15% month-over-month transaction growth by targeting the one infrastructure layer every bank and acquirer uses but no modern vendor had rebuilt | Robert Kraal

    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. // 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

    ২৩ মিনিট
  6. How Cyclops uses regulatory clarity — the Genius Act and MiCA — to shorten the education phase of enterprise sales | Alex Wilson

    ১৬ ঘণ্টা আগে

    How Cyclops uses regulatory clarity — the Genius Act and MiCA — to shorten the education phase of enterprise sales | Alex Wilson

    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. // 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

    ১৯ মিনিট
  7. How BinSentry frames every enterprise pitch around executive career risk — not product features | Ben Allen

    ২ দিন আগে

    How BinSentry frames every enterprise pitch around executive career risk — not product features | Ben Allen

    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. // 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

    ২৬ মিনিট
  8. Lessons from building an AI-enabled service that customers love | Hooman Radfar

    ২ দিন আগে

    Lessons from building an AI-enabled service that customers love | Hooman Radfar

    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. // 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

    ৪১ মিনিট
সব দেখুন (৯১৬)

বিষয়ে

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. Brought to you by:  www.FrontLines.io/FounderLedGrowth — Founder-led Growth as a Service. Launch your own podcast that drives thought leadership, demand, and most importantly, revenue.

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  • ক্রিয়েটর
    Front Lines Media
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    BUILDERS

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