How TitanX Hit $9.7M ARR After Buying IP for $200K

How do you turn $200K into a $9.7M ARR SaaS company with a $100M valuation by buying IP instead of building from scratch? Joey Gilkey is the founder of TitanX, a sales intelligence platform generating $9.7M ARR after launching in 2024. The company serves enterprise sales teams with contracts ranging from $24K to $250K annually, with its largest deals exceeding seven figures. What makes TitanX interesting is its approach to building a moat. Instead of competing as another data provider, the company sits between data sources and execution layers, using proprietary signals and AI to improve outbound performance. The business scales through high ACV sales, expansion revenue, and strategic acquisitions. You'll learn: How Joey turned a $200K IP purchase into a $100M company Why buying IP can be faster than building SaaS products How TitanX structures pricing from $24K to $250K ACV The role of proprietary data in building defensibility How inbound, outbound, and referrals drive pipeline Why expansion revenue is core to growth strategy How acquisitions accelerate ARR growth The credit-based pricing model and consumption dynamics How TitanX uses AI to improve outbound performance The logic behind raising $27M and taking secondary cash Joey started in enterprise sales before launching multiple businesses and eventually betting his entire net worth on TitanX. After acquiring the IP in 2023, he shut down a profitable services business to focus fully on SaaS, scaling from zero to $9.7M ARR in under two years. This episode is for SaaS founders thinking about capital allocation, high-ACV sales, and building defensible data products. It's a practical breakdown of how to scale quickly using acquisition, pricing, and distribution strategy. Watch this episode on YouTube: https://youtu.be/mxiCodnXo6U?si=zebVllHlOY7UlVqO  Connect with Joey: https://titanx.io/  Connect with Nathan: https://founderpath.com/ 

How do you grow a customer support SaaS to over 1,000 customers and $10M–$25M in ARR in one of the most crowded software categories, without trying to outspend the giants on marketing? In this episode, Nathan sits down with Grant Stanis, CEO of TeamSupport. The company provides B2B customer support software used by more than 1,000 companies and generates between $10M and $25M in annual recurring revenue. Most customers start around $10,000 per year, but the best accounts expand significantly over time, including enterprise customers paying more than $1M annually. Customer support software is a brutally competitive market with players like Zendesk and Freshdesk dominating search and advertising. Instead of fighting that battle, TeamSupport focused on referrals, community, and expansion revenue. The core idea is simple: turn support conversations into signals that drive retention, product feedback, and upsells. You'll learn: How TeamSupport grew to $10M–$25M ARR with over 1,000 customers. Why most customers start around $10K ACV and expand to $20K–$30K later. How one enterprise account grew into a $1M+ annual contract. Why they price the product per seat at $79–$99 per user. How expansion revenue became a core growth driver. Why the company relies heavily on referrals instead of SEO. How partnerships and webinars generate qualified pipeline. What it's like to lose a top 10 customer and report it to the board. How private equity ownership changes the way CEOs run SaaS companies. What kind of acquisition offer would realistically trigger a sale. Grant joined TeamSupport as CEO in 2024 after leading growth at several private equity-backed software companies. The business was founded in 2008 and later acquired by Level Equity in 2018. Today the focus is simple: grow profitably, expand existing customers, and build a durable SaaS business without relying on massive marketing budgets. If you run a SaaS company selling to support teams, customer success leaders, or mid-market software companies, this episode offers a practical look at how to grow in a crowded category. Connect with Grant: https://www.teamsupport.com/  Connect with Nathan: https://founderpath.com/ 

How do you rebuild a declining cybersecurity company into a $70M revenue platform with ~$25M EBITDA after buying it back for under $10M, while scaling primarily through acquisitions and debt instead of venture capital? Gary Guseinov is the CEO of Realdefense, a consumer cybersecurity and privacy platform that generates roughly $70M in annual revenue with $20–25M in EBITDA. Gary originally founded the business in 2003 as Cyber Defender, grew it to $70M in revenue, took it public, then later bought the company back in 2017 when it had declined to about $7M ARR. Today, Realdefense operates as a platform of security and privacy products that monetize partner user bases through software subscriptions, telemetry-driven product offers, and cross-sell expansion. The company has completed six acquisitions since the buyback and now scales growth through a capital-efficient M&A strategy instead of traditional venture capital. What makes this business interesting is its unconventional growth model. Instead of building new SaaS products from scratch, Realdefense acquires small or declining companies, integrates them into a shared technology and billing stack, and compounds revenue by increasing LTV through cross-product distribution. You'll learn: How Gary bought back his own company for under 1x ARR and rebuilt it through acquisitions. The platform strategy Realdefense uses to monetize partner user bases in cybersecurity software. Why telemetry-based product triggers outperform traditional advertising monetization. The pricing ladder strategy that starts with $20 products and scales customers to hundreds per year. How cross-selling security tools like VPN, identity protection, and device optimization increases LTV. The debt financing strategy Gary uses instead of giving up equity to venture capital. How lenders evaluate SaaS acquisitions using EBITDA multiples. Why buying flat or declining software companies can be a scalable growth strategy. The operational advantages of integrating multiple software products into a single platform. How founder ownership and liquidity decisions change when companies go public. Gary started his career in direct marketing before launching his first cybersecurity company in 2003 with roughly $50K–$75K of his own capital and an initial $250K raise. After raising significant venture capital and eventually going public, he saw the risks of dilution firsthand. When the business declined under new leadership, he bought it back in 2017 and rebuilt it with a very different capital strategy focused on debt, acquisitions, and ownership preservation. If you're a SaaS founder thinking about capital efficiency, acquisition-driven growth, or alternative scaling strategies outside of venture capital, this episode is a masterclass in operator-led capital allocation. Watch this episode on YouTube: https://youtu.be/ebkYMcJcpg0  Connect with Gary: https://www.realdefen.se/home/  Connect with Nathan: https://founderpath.com/ 

How do you build an AI SaaS company to $1M+ ARR with just a few dozen customers and raise a Series A at a 20x+ revenue multiple while competing against general-purpose AI tools? Tal Kirschenbaum is the Co-Founder and CEO of Ledge, an AI-native financial close platform helping finance teams automate the month-end close process. Just three years after writing the first line of code, Ledge has reached $1M+ ARR with ~24–36 customers paying roughly $3K per month, while targeting 300% year-over-year growth with a team of ~35 employees. What makes this story interesting is how narrowly the product is positioned. Instead of building a generic "AI for finance" tool, Ledge focuses on a painful operational workflow: the month-end close process for mid-market and enterprise finance teams. The pricing is not seat-based. Instead, revenue scales with operational complexity — entities, currencies, and integrations — creating a natural ACV expansion motion as customers grow.   You'll learn: - Why Ledge targets finance teams with 5+ people as the ideal entry point for workflow automation. - How pricing based on business complexity (entities, currencies, channels) replaces traditional seat-based SaaS pricing. - The math behind reaching $1M+ ARR with ~24 customers paying ~$3K per month. - Why focusing on one painful workflow can create a stronger product moat than building a broad AI platform. - How "glassbox AI" explainability matters for finance and accounting teams dealing with compliance and audits. - Why selling based on workflow value — not an "AI budget" — reduces churn risk in AI SaaS. - How enterprise credibility increases ACV over time as new customers pay higher prices than early adopters. - What raising a Series A at a 20x+ revenue multiple says about early-stage AI SaaS valuations in 2026. - The internal debate founders face when trading equity dilution for faster growth. - Why some SaaS companies avoid seat-based pricing when automation actually reduces headcount needs. Before starting Ledge, Tal led M&A transactions at Meta and worked on new products at Melio, the payments company that later sold to Xero for $2.5B. He left Melio in 2022 to build Ledge, giving up seven-figure unvested equity to pursue the opportunity he saw in financial close automation. If you're building vertical SaaS, AI infrastructure for finance, or enterprise workflow software, this episode is a masterclass in product focus, pricing strategy, and early enterprise traction. It's also a rare look at how AI SaaS founders think about moats when the platform risk from large models is real.   • Watch this episode on YouTube: https://youtu.be/EGWc23BI7Zw  • Connect with Tal: https://ledge.co • Connect with Nathan: https://founderpath.com/ 

How do you turn a failed public ecommerce company into a $5M ARR enterprise SaaS platform serving ~$2M+ contracts — while rebuilding with capital efficiency after bankruptcy and avoiding the growth-at-all-costs playbook? In this episode, Nathan sits down with Jared Yaman, co-founder of Spresso and former founder of Boxed, the bulk ecommerce company that scaled to $187M in revenue before its IPO and eventual Chapter 11 restructuring. Today, Jared leads Spresso, the enterprise ecommerce software platform spun out of Boxed, now serving roughly 15 enterprise customers worldwide and growing ARR from $2.5M at spinout in 2023 to about $5M in 2025 through large ACV enterprise contracts. What makes this story interesting is the transition from low-margin ecommerce operations to high-margin enterprise SaaS. Boxed generated hundreds of millions in revenue but operated on ~4–5% contribution margins. Spresso keeps the infrastructure, data, and enterprise relationships — but monetizes them through implementation fees and modular SaaS subscriptions, fundamentally changing the economics. You'll learn: - Why scaling revenue without contribution margin destroys optionality, even at $100M+ revenue - How enterprise implementation fees subsidize onboarding costs and accelerate payback periods - The pricing structure behind $2M+ enterprise contracts in ecommerce infrastructure - Why founder-led sales and existing network relationships became the primary GTM channel post-spinout - How to reposition operational technology into a standalone SaaS category buyers understand - The debt strategy Spresso uses to keep leverage under 10% of ARR - Lessons from raising $380M in venture capital and ending with low single-digit founder ownership - How reducing deployment timelines from 4 months to 4 weeks unlocked enterprise expansion - Why enterprise SaaS growth favors fewer customers with large ACVs over broad SMB distribution - The strategic shift from retail unit economics to recurring software margins Jared previously co-founded Boxed, raising roughly $380M before taking the company public, where founder ownership diluted to about 2.6%. After Boxed filed for Chapter 11 in April 2023, he helped spin out the software platform into Spresso with debt financing support, rebuilding the business around sustainable SaaS economics instead of venture-funded retail growth. This episode is for founders navigating pivots, operators moving from services or commerce into SaaS, and investors studying capital efficiency in enterprise software. It's a masterclass in restructuring strategy, enterprise pricing, and rebuilding a company around durable margins instead of headline revenue. Watch this episode on YouTube: https://youtu.be/vslJtgAtjuY  Connect with Jared: https://www.spresso.ai/  Connect with Nathan: FounderPath.com

How do you turn a niche offline sports business into $3M in contracted ARR across 200 locations, while raising $8M and keeping pricing simple on a per-unit basis? Ben Borton is the Co-Founder of PodPlay Technologies, a vertical SaaS platform powering pickleball and racquet sport venues. What started as internal software for his own ping pong spaces is now a $3M contracted ARR business serving 200 locations and roughly 2,000 courts, with ACVs ranging from $10k–$15k and an $8M Series A completed in 2025. This business is interesting because it didn't start as software. Ben built PodPlay to solve utilization and operations inside his own physical venues, where courts generated $30 per hour at 70% utilization. The SaaS product is now growing faster than the brick-and-mortar business — proving that real-world operational pain can be the most durable GTM wedge in vertical software.   You'll learn: — How Ben validated the SaaS by first using it inside a venue doing $100k–$400k in annual revenue — The exact per-court pricing model and why ACVs land between $10k–$15k for larger operators — How software-only contracts at $2k–$6k expand into $10k+ hardware-inclusive deals — Why 70% court utilization at $30/hour created the margin profile to fund early product development — How founder-led sales drove growth from first external customers in 2023 to $3M contracted ARR — The GTM motion behind signing 200 locations without a traditional enterprise sales team — How viral video sharing from players became an organic acquisition channel for physical venues — Why vertical SaaS embedded in real-world workflows wins over generic booking tools — How spinning out the software into a separate entity unlocked an $8M Series A — What operators should consider before raising capital versus compounding through cash flow Ben's background spans fintech, hedge funds managing $300M AUM, and early-stage investing before launching his own venues in 2020. He opened PingPod during COVID, optimized for utilization and unit economics, and then spun out the internal software into PodPlay once external demand became clear. The capital raise was deliberate: sell 13–18%, accelerate distribution, and double down on category leadership. This episode is for founders building vertical SaaS, operators sitting on proprietary workflow data, and investors looking for software businesses born out of real revenue. If you're thinking about pricing per unit, founder-led GTM, or when to separate software from services, this is a masterclass in capital-efficient category creation. • Watch this episode on YouTube: https://www.youtube.com/watch?v=SB8bmy8LylI  • Connect with Ben: https://podplay.app/  • Connect with Nathan: FounderPath.com

How do you build a vertical SaaS company to ~$50M ARR serving 6M homes — after bootstrapping to $5–10M without outside capital — and then 10x with a minority PE round instead of giving up control? Ben Currin is the CEO of Vantaca, a vertical SaaS platform powering community association management companies. Since launching in 2018, Vantaca has grown to ~500 customers managing 50,000 communities and 6M homes, scaling from low six figures in 2018 to ~$1M in 2019, $5–10M by 2022, and roughly 10x revenue since taking minority investment. This is not a trendy market. HOA management is fragmented, operationally complex, and historically under-served by modern software. Vantaca didn't win with viral PLG or heavy paid acquisition. They went top-down enterprise, priced per door, embedded payments and treasury, and built the general ledger system of record for an entire industry. You'll learn: — How to identify "sneaky big" vertical SaaS markets hiding in unsexy industries. — Why per-door pricing became the north star metric and expansion lever. — How to sell top-down into large management companies instead of bottom-up homeowners. — How Vantaca expanded from pure SaaS into payments, treasury, and vendor monetization. — What capital efficiency looked like in practice during the first five years. — The signal that shifted them from capital efficient to capital constrained. — How to structure a minority PE deal with primary and secondary capital. — Why retaining majority ownership mattered before a potential 5–10x growth phase. — How acquiring a YC-backed AI company accelerated product roadmap and attach rates. — How embedding agentic AI into billing, support, and operations increases platform stickiness. Ben joined Vantaca in 2018 alongside founder Dave Sawyer, who originally built the software inside his own HOA management business. Neither came from venture-backed SaaS. They bootstrapped for five years, reinvested profits, crossed $1M ARR in year two, reached high single-digit millions by 2022, and only then brought in JMI Equity for a minority investment to accelerate growth. A second minority recap followed, preserving control while funding expansion. If you're a founder building in vertical SaaS, considering minority growth capital, or thinking about embedding fintech and AI into your core product, this episode is a masterclass in disciplined scaling inside a niche market. Watch this episode on YouTube: https://www.youtube.com/watch?v=ckRiL_bFK_w  Connect with Ben: https://www.vantaca.com/  Connect with Nathan: FounderPath.com

How do you scale a vertical SaaS platform to $12M ARR while navigating the aggressive valuation overhang of 2021 and a founding team transition. Matt Spiegel is building Lawmatics into a dominant legal CRM by leveraging a serial founder playbook that prioritizes high ARPU and agentic AI over traditional SaaS metrics. Matt Spiegel is the founder and CEO of Lawmatics, a legal marketing and CRM platform serving over 2,000 law firms. The company currently generates over $1M in monthly revenue with an average ACV of $5,000. After raising $25M in total capital, Matt has maintained roughly 20% ownership while driving the business toward profitability and a potential $240M+ valuation. This business is a case study in the evolution of vertical SaaS and the transition from simple automation to agentic AI. Lawmatics successfully moved from an initial $60 monthly price point to a $400 ARPU by aligning pricing with high-value legal intake data. Matt provides a rare, transparent look at the mechanics of Series A extensions and the decision to forgo all-cash exits in favor of the "bites at the apple" recapitalization model. You'll learn: - The specific Google Ads and social spend required to acquire the first 100 B2B customers. - Why sponsoring practice-area specific conferences is a higher ROI channel than generic trade shows. - How to manage a $400 monthly ARPU through a value-based pricing strategy. - The mechanics of a technical co-founder exit after four-year vesting schedules are complete. - Why a 15x revenue multiple in 2021 created a strategic valuation gap for later rounds. - Tactical execution of Series A extensions to avoid down-rounds in a tight capital market.  - The shift from "SaaS is dead" to agentic AI products that automate legal intake decisions.  - Why a 40% equity roll is superior to an all-cash exit for long-term wealth compounding.  - How to evaluate venture debt offers at 14% interest versus further equity dilution.  - The data advantage gained from processing 11 million legal intakes to train proprietary models.  - Why serial founders should prioritize optionality and board alignment on debt aversion. Matt Spiegel previously founded My Case, a legal practice management platform he scaled to $500k ARR before selling to AppFolio in 2012. After watching that entity eventually reach a $2.5B valuation, he launched Lawmatics in 2017 with a focus on the front-end of the legal lifecycle. His capital strategy shifted from early-stage venture to strategic extensions, ensuring the founding team retained significant upside. This episode is for B2B SaaS founders and investors managing the transition from growth-at-all-costs to sustainable profitability. It serves as a masterclass on capital efficiency, vertical market dominance, and the reality of scaling a leadership team past the initial founding duo. Watch this episode on YouTube: [Here] Connect with Matt: Lawmatics.com  Connect with Nathan: FounderPath.com

Siddharth Sinha is the co-founder and CEO of Dresma, an AI-powered platform helping global brands create studio-quality e-commerce imagery, videos, and localized content at scale. Launched in 2020, Dresma helps brands like Puma localize product imagery across markets using AI models, data intelligence, and automated workflows. The company now serves ~28 customers, generates ~$2M ARR, and has grown profitably with a lean team of 31 people. In this episode, Siddharth explains Dresma's usage-based pricing model, how studio partnerships drive over 50% of revenue, and how the company expanded enterprise customers up to $500K per year—while keeping infrastructure costs and CAC under control. You'll learn: How Dresma helps brands localize content globally using AI Why usage-based pricing outperformed seat-based or product upsells How studio partnerships became a major growth channel What percent of revenue goes to LLM credits (and why it works) How free tools drive SEO and enterprise lead generation Dresma's ABM tech stack (Smartlead, Apollo, Clay + custom tooling) How to sell enterprise SaaS with AEs based in India How Dresma grew from $1.3M to $2M ARR in 12 months What it took to reach profitability after raising a $3M seed round Before founding Dresma, Siddharth was a serial entrepreneur and Cornell-trained engineer with deep experience in e-commerce content and studio workflows. The company raised a $3M seed round at a $10M post-money valuation in late 2021, backed by early revenue traction and strong domain expertise. Today, Dresma is profitable, growing steadily, and focused on becoming the end-to-end visual content engine for global e-commerce brands. If you're a SaaS founder thinking about usage-based pricing, enterprise AI, programmatic SEO, or capital-efficient growth—this episode is a deep, tactical breakdown of what actually works. Watch this episode on YouTube: https://www.youtube.com/watch?v=NjSTmVJ_SF0  Connect with Siddharth: https://dresma.com Connect with Nathan: https://founderpath.com 

How do you grow a nearly $5M ARR SaaS with just 2 sales reps, while staying bootstrapped and capital efficient? Raf Howery is the founder and CEO of Kukun, a B2B property data platform powering white-labeled tools for banks, fintechs, and insurers. After quitting a $1M/year consulting role, he built Kukun to serve ~25 enterprise clients, each paying $10K–$50K/month. The team now processes ~500,000 property addresses monthly across a growing suite of data-driven products. What makes this business especially compelling is the dual monetization model: a B2C experience that acts as a PLG wedge, and a B2B monetization layer through usage-based pricing for banks and lenders. Kukun's go-to-market evolved from realtor hand-to-hand distribution to landing multi-product deals with top financial institutions. You'll learn: —How Raf uses white-label distribution to monetize banks and fintechs —Why bundling multiple products improves ACV and deal velocity —How product-led growth drives enterprise adoption through homeowners —What pricing bands based on address volume look like in practice —How to build an enterprise SaaS with just 2 quota-carrying reps —Why realtors were the original GTM channel, and how they unlocked enterprise —How Raf kept control by raising only $7M in pre-2022 convertible notes —Why usage is tied to seasonality, and how Kukun hedges that risk —The real CAC math behind serving 20–25 enterprise accounts —How PLG and founder-led sales work together in regulated markets —Why current mortgage dynamics are boosting home improvement software —How Raf positioned Kukun as the "post-transaction" engagement layer for banks   Before founding Kukun, Raf spent over a decade in management consulting, advising Fortune 500 clients at Capgemini. He walked away from a $1M/year role to build a capital-efficient SaaS company, investing $1M of his own money and raising only private capital. For the first several years, he focused entirely on product and data before scaling sales.   If you're a SaaS founder thinking about bootstrapping, pricing usage-based products, or selling into regulated industries—this is a masterclass in control, distribution, and enterprise monetization.   Watch this episode on YouTube: https://www.youtube.com/watch?v=sm22u4w_-pk    Connect with Raf: https://mykukun.com/   Connect with Nathan: https://founderpath.com/