Fintech Builders

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GTM conversations with founders building the future of Fintech.

  1. Why up to 50% of Savvy Wealth’s marketing budget goes towards experimentation

    23 MAR

    Why up to 50% of Savvy Wealth’s marketing budget goes towards experimentation

    Savvy Wealth⁠ is an AI-enabled platform for independent financial advisors — solo operators and small teams — that handles everything from CRM and billing to compliance, investment management, and financial planning. In this episode of BUILDERS, I sat down with ⁠Ritik Malhotra⁠, Founder & CEO, to get into the GTM mechanics behind selling into one of the most trust-locked markets in financial services: advisors who don't just buy software — they move their entire business. Topics Discussed: What Ritik took — and deliberately inverted — from watching Brex scale from ~$5M to $100M in revenue in a single yearWhy Savvy's GTM motion is structurally closer to recruiting than B2B sales — and what that means for team designHow a data science-driven "likelihood to move" model shapes top-of-funnel targetingWhat's actually driving growth: brand trust and advisor word-of-mouth over outboundWhy cold email and conference booths underdelivered, and the experimentation framework Ritik runs insteadHow Savvy deliberately blends adjacent-industry sales talent with wealth management insidersWhy the "AI replaces the advisor" framing gets the value prop of human financial guidance fundamentally wrongThe long-term vision: a fully vertically integrated operating system for financial advisors, orchestrated by proactive AI agents // 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

    25 min
  2. How Monet used Facebook groups to sign up 7,500 content creators before building the product

    11 MAR

    How Monet used Facebook groups to sign up 7,500 content creators before building the product

    Jacob Casson⁠ spent years trying to solve cash flow for the entertainment and media industry — influencer agencies, production houses, film and TV — while nearly running his own company into the ground twice. In this episode, he breaks down how ⁠Monet⁠ evolved from a creator banking product into a financial back office and lending platform, how he recapitalized under a hostile takeover attempt, and why the UK media industry is one of the most defensible fintech niches nobody is building for. Topics Discussed: Why traditional lenders systematically misprice influencer agency riskHow Monet ended up inside Coldplay's global marketing payment flowsThe pivot from creator-facing banking to agency financial infrastructureSurviving a hostile takeover attempt and engineering a recapitalizationThe decision to stay UK-focused in 2025 and what it would actually take to enter the USExpanding into film and TV debt: tax credits, pre-sales, and broadcasting license feesRaising debt vs. equity: why conflating the two is a costly fintech mistakeThe founder psychology of performing better under pressure than in calm // Sponsors: Front Lines — Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount.⁠ www.FrontLines.io/Podcast-as-a-Service

    28 min
  3. How Palla Financial navigates selling to banks with no standard buyer: from remittance teams to CEOs | Enrique Perezalonso

    24 FEB

    How Palla Financial navigates selling to banks with no standard buyer: from remittance teams to CEOs | Enrique Perezalonso

    The cross-border payments market remains stubbornly difficult despite billions in venture capital and countless smart founders attacking the problem. The core challenge isn't technology—it's economics. Western Union's margins weren't exploitative greed; they reflected the brutal reality of cash distribution networks, compliance infrastructure, and dual-country regulatory overhead. Palla Financial cracked this by inverting the entire model: instead of fighting for expensive US-based senders, they partnered with Latin American banks to let recipients pull funds. This approach taps into the world's largest remittance corridor ($160+ billion annually flowing from the US to Latin America) while sidestepping the customer acquisition bloodbath. In this episode, ⁠Enrique Perezalonso⁠, CEO of ⁠Palla Financial⁠, breaks down why recipient-driven payments eliminate distribution costs, how they rebuilt their product three times based on bank feedback, and why the "no CAC" embedded model still requires massive partner investment to actually work. Topics Discussed: Why cross-border payments remain broken: dual-country regulations, cash distribution economics, and two-sided transaction complexityThe shift from cash-based infrastructure to digital rails and its impact on unit economicsPalla's pull-based model: embedding payment requests inside bank apps to flip sender/recipient dynamicsRevenue mechanics: $3 consumer fees, FX markup economics, and interchange/revenue sharing with bank partnersThe buy-vs-build calculus for banks and why a Central American banking group returned after a four-year internal build attemptCreating a new category and watching competitors attempt to copy the embedded approachSelling into banks with no standardized buyer: navigating from remittance teams to CEOs depending on organizational maturityThe reality of "indirect" CAC: why embedded distribution still requires heavy investment in partner successImplementation failures and the shift from hands-off best practices to consultative partner enablementGTM Lessons For B2B Founders: Flip expensive distribution by attacking the other side of the transaction: While competitors burned cash acquiring US-based senders in saturated corridors (US-Mexico, US-India), Palla partnered with recipient-side banks in Latin America. Target buyers who already tried and failed to build: A Central American banking group spent nine months evaluating Palla, decided to build internally, then returned four years later. This wasn't poor execution—it was competing priorities, lack of scale economics, and the reality that cross-border payments isn't their core business. "Embedded" and "no CAC" are myths without massive partner investment: Palla initially provided best practice guides and light coaching, assuming banks would naturally drive adoption. They saw "lackluster results" until they became "more and more hands-on," shifting to consultative implementation with proper incentive design and accountability frameworks. Use speed to rebuild the product in real-time with customers: The product Palla launched bears little resemblance to their original vision. They rebuilt features "hand in hand" with bank partners, leveraging their advantage over large competitors: no bureaucracy, hunger to make it work, and speed. // 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

    23 min
  4. How Maxima moved upmarket from 10-person startups to 500-1,000 employee companies after early customer feedback | Yogi Goel (Maxima)

    9 FEB

    How Maxima moved upmarket from 10-person startups to 500-1,000 employee companies after early customer feedback | Yogi Goel (Maxima)

    Maxima is building AI agents that automate enterprise accounting while maintaining the auditability and control standards finance teams require. In a recent episode of BUILDERS, we sat down with ⁠Yogi Goel⁠, CEO and Co-Founder of ⁠Maxima⁠, to explore his eight-year journey at Rubrik from Series C through IPO, and how those lessons shaped his approach to solving the 70-80% of finance time currently wasted on manual work. Topics Discussed: Why Rubrik's approach—entering stagnant markets with first-principles thinking—became Maxima's blueprintSecuring $3K-$5K POC commitments from Figma mockups before writing codeWhy Scale AI and Rippling rejected a point solution and demanded 3-4 modules from day oneThe compound startup model: building multiple products simultaneously to meet buyer expectationsHow 17% of CFOs are adopting AI tools today (vs 51% in software development)Why finance teams view AI agents as "digital college freshmen" who need proof of workHiring from YouTube Studios, Apple, and Robinhood instead of legacy finance software companiesHow NetSuite World conference booth sizes revealed the data integration infrastructure gapThe $3K-$5K validation threshold that proved finance pain was urgent enough to pay pre-product GTM Lessons For B2B Founders: Demand generation unlocks engineering potential: Yogi learned from his Rubrik mentors: "focus on demand and if you have great engineers then they will solve the problems." Maxima built products in 2-3 months they didn't initially know were technically feasible—because customer demand pulled the engineering team forward. $3K-$5K is the pre-product validation threshold: Before writing any code, Yogi secured POC commitments at this price point based solely on Figma mockups. This isn't about revenue—it's about proving urgency. Verbal interest means nothing. Small pilot commitments mean "we'll try it someday." Sophisticated buyers will reject your narrow MVP: Scale AI and Rippling told Maxima explicitly: "If you will only build this one thing, we will not buy. You have to commit to building three, four modules." Conventional wisdom says start narrow, but enterprise buyers with complex workflows won't adopt point solutions that create new integration headaches. Target acute pain over easy access: Early-stage companies (10-30 people) were easier to reach but finance wasn't urgent enough. At that scale, it's "build product, ship product"—finance operations aren't broken enough to warrant urgent attention. Hire intensity and first-principles thinking over domain knowledge: Maxima deliberately hired zero engineers from legacy finance software companies. Their frontend engineer came from YouTube Studios. Others came from Apple, Robinhood, Netflix—none with financial product experience. Yogi's three hiring criteria: "incredible intensity, huge confidence in themselves, and fast thinking mode." Make AI explainable or finance teams won't adopt: Finance teams adopted faster than expected because Maxima showed every calculation step. "If they can prove by looking at the Math, you know, 18 plus 88 plus 36 is X. And I can see the step of the work, they are willing to give it to them." This isn't about fancy UX—it's about auditor-grade proof of work. // 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

    23 min
  5. How Rainforest justifies the ROI of hosting a podcast and conference | Joshua Silver

    29 JAN

    How Rainforest justifies the ROI of hosting a podcast and conference | Joshua Silver

    Rainforest⁠ enables vertical software companies to embed payment processing directly into their platforms - solving the complexity that previously forced software companies to direct customers to separate banks or resellers for payment processing. Founded by ⁠Joshua Silver⁠, who spent nearly 20 years in payments starting with PatientCo (a healthcare billing company that scaled to process billions for major healthcare organizations), Rainforest now serves as the enabling layer for thousands of vertical software companies. In this episode of BUILDERS, Joshua shares the unconventional GTM decisions that shaped Rainforest's trajectory: from making contracts a product feature to implementing a zero bugs policy, and why he measures podcast success by qualified lead conversion rather than download counts. Topics Discussed: The embedded payments opportunity: why software companies stopped directing customers to banksBuilding in highly regulated environments where traditional MVP approaches failThe extended foundation-building phase required before processing the first paymentTransitioning from 2.5-3 years of founder-led sales to a scalable GTM motionUsing contract terms as competitive differentiation rather than negotiation leverageImplementing a zero bugs policy and its impact on service costs and retentionBuilding thought leadership through the Payment Strategy Show and Vertex conferenceLead quality metrics over vanity metrics for content investmentsGTM Lessons For B2B Founders: Hire from the industry and invest disproportionately in technical onboarding: Rainforest maintains one of the highest concentrations of payments talent on a percentage basis—nearly everyone has worked in payments or payments-adjacent roles. But hiring isn't enough. Joshua obsesses over training because in complex sales, prospects ask detailed technical questions and "the moment that you give bad answers or don't know your stuff, they're going to detect that and that's going to detract a lot from the trust." When selling technical infrastructure, surface-level product knowledge kills deals. Engineer your standard contract to eliminate negotiation cycles: Joshua inverted conventional wisdom by making Rainforest's standard contract "overly favorable to the client"—no hidden terms, no punitive clauses, no exclusivity provisions. The result: "We don't have to spend a lot of legal time going back and forth. We don't have to invest a lot of time and by the way, burning a lot of goodwill too in contract negotiations." Embed sales capabilities into your customer success function: Rainforest trains their CS team on negotiation tactics, value selling, and objection handling—competencies rarely developed in post-sale teams. Joshua noted the primary goal is customer assistance, but growth is an underlying objective. Enforce a zero bugs backlog in high-stakes environments: Joshua's unofficial core value—"don't f with the money"—manifests in their zero bugs policy. It's not that they never create bugs; it's that "we don't tolerate living with them. We don't have a backlog of bugs to fix." When a bug is validated, they fix it immediately. His head of engineering recently discussed this on a podcast because people find it radical. // 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

    23 min
  6. How F2 hires only ex-finance professionals for sales instead of traditional salespeople | Donald Muir

    16 JAN

    How F2 hires only ex-finance professionals for sales instead of traditional salespeople | Donald Muir

    F2⁠ is the AI platform for private markets investors, automating due diligence and portfolio monitoring workflows with agentic AI. After building ARK into a digital banking platform that scaled from tens of millions to tens of billions in loan volume, ⁠Donald Muir⁠ developed AI technology to automate debt placement on ARK's marketplace. When upmarket institutional lenders requested access to the AI for their entire deal flow—not just ARK's marketplace deals—Donald recognized the technology's standalone value. In this episode of BUILDERS, Donald shares how he's commercializing enterprise-grade AI for an industry where he personally spent years in the private equity bullpen, and how F2 is addressing the reliability and trust barriers that prevent AI adoption in high-stakes financial decision-making. Topics Discussed: How F2 emerged from ARK's internal need to automate debt marketplace screening memosThe technical approach to eliminating hallucination in Excel-based financial analysisReplicating private equity's "super day" interview format to prove AI capability with live deal dataSales team composition: hiring ex-finance professionals instead of traditional sales repsAI's role in evolving private equity analysts from menial tasks to system operatorsProduct roadmap from due diligence to portfolio monitoring to deal syndication platformMaintaining operational independence while preserving strategic alignment with ARK GTM Lessons For B2B Founders: Solve your own hardest problem first, then productize: Donald built F2's core technology to scale ARK's debt marketplace, focusing on the most difficult engineering challenge—reliable financial analysis of unstructured Excel data—because the marketplace required it. This resulted in technology that foundation models still haven't replicated over a year later. Design sales processes that mirror how your ICP evaluates talent: Donald replicated private equity's "super day" format where analyst candidates receive a data room, laptop without internet access, and three hours to produce an LBO model and investment thesis. F2 runs identical timed tests—customers send live deal data rooms under NDA, F2 generates investment committee memos using their templates, and presents same-day results. Prioritize credibility over sales experience in technical markets: Donald's entire sales team consists of ex-finance professionals who lived in the seat—no traditional salespeople. These reps can screen-share investment memos created that morning and discuss them authentically with MDs and principals using industry-specific language. Engineer for auditability before optimizing for speed: F2 focused on eliminating hallucination and achieving mathematical accuracy—solving what Donald calls the "reliability and trust" gap—before addressing workflow efficiency. The company name references the F2 keystroke used to audit Excel calculations at 3 AM in the PE bullpen. Leverage institutional knowledge as competitive differentiation: Beyond automating existing workflows, F2 enables firms to pipe in decades of institutional knowledge via API—instantly benchmarking new deals against thousands of historical transactions by vertical, revenue size, leverage levels, and management quality. // 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

    21 min
  7. How Turnstile positioned quote-to-cash for founders who don't know the category exists | Michael Babineau

    9 JAN

    How Turnstile positioned quote-to-cash for founders who don't know the category exists | Michael Babineau

    Turnstile is reimagining quote-to-cash for the modern B2B world, where negotiated agreements create operational chaos that standard pricing never does. After selling Second Measure to Bloomberg, co-founders ⁠Michael Babineau⁠ and Lillian Chou experienced the irony firsthand: running a data analytics company while managing their own revenue operations through spreadsheets and manual processes. That incongruence became the catalyst for Turnstile, a self-serve revenue platform designed to support sales-led B2B companies from their first negotiated deal through tens of millions in ARR. In this conversation, Michael shares how they're solving the structured data problem that plagues B2B revenue operations, why eliminating custom development forced genuine platform flexibility, and how they're collapsing a traditionally 3-6 month implementation into a self-serve onboarding that takes minutes. Topics Discussed: Why negotiated B2B agreements create the structured data problem that breaks revenue operations Turnstile's compound startup approach spanning quote-to-cash to revenue recognition The internal ban on custom development that forced true configurability into the platform How supporting non-standard contracts from day one enables earlier market entry than traditional CPQ Revenue leakage and "truth drift" between contract terms and actual customer relationships The rippling-style GTM strategy: start with startups, grow into enterprise with your customers Positioning challenges when your category exists but your ICP doesn't know it yet Building for human operators and AI agents simultaneously on the same platform primitives Agentic dunning and the roadmap toward AI-automated revenue operations // 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

    27 min
  8. How tiun validated product-market fit with 6-12 months of pilot data before scaling | Sandro Zweig

    05/11/2025

    How tiun validated product-market fit with 6-12 months of pilot data before scaling | Sandro Zweig

    tiun is building auth and payment infrastructure that consolidates two traditional categories into one streamlined solution. By combining social login with instant payment functionality, tiun eliminates the standard account creation and credit card entry flow, reducing user onboarding to a two-click process. Operating as merchant of record, tiun serves online entertainment businesses, content creators, news publishers, and SaaS platforms. The company currently reaches 10 million users monthly through customer website placements and is growing transactions 15-20% month-over-month. In this episode of Category Visionaries, Sandro Zweig shares how tiun evolved from targeting news publishers to building a broader entertainment ecosystem, the challenges of creating a market for a combined category, and the data-driven approach to proving ROI before scaling. Topics Discussed: Evolution from news publisher focus to entertainment and SaaS ecosystem strategyConsolidating auth and payment infrastructure into a single categoryCase study metrics: 20% uplift in paying users with under 1% subscription cannibalizationThe 2.5x lead generation improvement versus traditional subscription modelsBuilding market-specific ecosystems as a B2B2C go-to-market strategyDACH penetration strategy before US expansionAchieving organic exposure through customer website placementReducing integration complexity to drive adoption in an emerging category GTM Lessons For B2B Founders: Geographic density creates B2B2C flywheels: tiun's go-to-market prioritizes ecosystem density within a single market over broad geographic distribution. Users discover tiun on one platform, then encounter it across 3-4 additional properties in their consumption pattern, creating recognition and repeat usage. This required penetrating DACH (100 million people, single language, unified regulations) before considering US expansion. For B2B2C products where end-user familiarity drives business adoption, concentrate on saturating one market until the consumer-side network effect reduces enterprise sales friction.Validate with 6-12 month pilot data before scaling: tiun ran contained pilots with 3-4 customers for a full year before pursuing their long-tail market. This produced case studies showing 20% paying user uplift and under 1% cannibalization—metrics that directly addressed the primary objection (subscription revenue risk). Sandro notes this extended validation period became essential because "there is no market for it yet. We're creating the market." When creating a new category, resist scaling pressure until you have multi-month data that quantifies business outcomes and neutralizes the biggest adoption barriers.Strategic revenue trade-offs accelerate ecosystem development: tiun deliberately adjusted pricing to "pay out more to our businesses to grow a bit faster"—prioritizing transaction volume and ecosystem density over near-term take rate. This economics decision reflected that their value proposition strengthens with ecosystem scale: users need to encounter tiun across multiple properties for the solution to deliver its full promise. Integration speed directly determines category creation velocity: Sandro identified that "if the sales cycle is too long and integration is too complicated, people won't do it. Especially since it's a product that doesn't exist and there is no market for it yet." They focused on reducing implementation to 2-3 weeks, recognizing that asking companies to replace existing auth and payment infrastructure requires minimal switching costs. Build investor relationships 12+ months before raises: Sandro emphasizes starting fundraising conversations well before needing capital: "If you decide, oh, I need to fundraise right now, then you will automatically get into a cash crunch. Because by the time you have established all the relationships, it just takes such a long time that you run out of money where it really hurts your negotiation power."

    17 min

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GTM conversations with founders building the future of Fintech.