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Lucas and Luna examine a new clause appearing in software acquisition term sheets: the data center energy commitment. As hyperscalers like Microsoft and Amazon face power constraints for AI workloads, strategic buyers are now requiring targets to disclose — and in some cases guarantee — future energy costs for cloud hosting. Lucas cites Snowflake's recent 12.6% stock surge and Oracle's 7% drop as signals that investors are pricing in energy exposure differently. The episode walks through a real example: a mid-market SaaS company with a $2 million annual cloud bill that doubled when its GPU-intensive features scaled. Luna pushes on whether energy commitments are just a negotiating tactic or a durable shift in deal architecture. They land on the latter — and discuss how earnouts now include 'energy cost overrun' provisions tied to compute usage per customer.
#SoftwareM&A #DataCenterEnergy #AIWorkloads #CloudCosts #Earnouts #StrategicBuyers #Hyperscalers #Microsoft #Snowflake #Oracle #TechDeals #MergersAndAcquisitions #EnergyCommitments #Business #Technology #FexingoBusiness #BusinessPodcast #TechM&A
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Episode 83 of Tech M&A with Fexingo examines a new wrinkle in software dealmaking: AI inference costs are volatile enough to blow up earnout projections. Lucas and Luna break down how strategic buyers like Microsoft and Oracle are adjusting valuation models for GPU-as-a-service pricing swings, using the recent $5B Etched valuation as a real-world data point. They discuss how acquirers now require sellers to disclose inference cost per token, build cost escalation clauses into earnouts, and stress-test models at high-volume scenarios. If you're a founder or acquirer in the AI software space, this episode gives you the concrete terms showing up in term sheets right now.
#AIInferenceCosts #SoftwareM&A #Earnouts #Microsoft #Oracle #Etched #NVIDIA #GPUPricing #ValuationModels #TermSheets #MADeals #TechAcquisitions #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #Podcast #TechDeals #InferenceEconomics
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Episode 82 of Tech M&A with Fexingo explores a growing factor in software deal due diligence: AI agent risk. As companies embed autonomous AI agents into their products and operations, buyers are starting to audit for agent reliability, hallucination rates, and dependency on third-party models. Lucas and Luna break down why a target's agent architecture can now swing valuation by 10-15%, using recent deals and the rise of vibe coding platforms as context. They discuss how earnouts increasingly tie payout to agent performance metrics like task completion rate and cost per inference. Plus, a look at how the SEC is quietly signaling closer scrutiny of AI agent claims in M&A disclosures. If you're buying or selling a software company with AI features, this episode is a must-listen. Recorded June 30, 2026.
#SoftwareM&A #AIAgentRisk #TechDeals #DueDiligence #Earnouts #VibeCoding #Base44 #SEC #AI #MergersAndAcquisitions #Valuation #Business #Technology #FexingoBusiness #BusinessPodcast #Podcast #TechMA #AIAudit
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Lucas and Luna dive into a new metric gaining traction in software acquisitions: churn velocity. Unlike traditional annual churn rates, churn velocity measures how quickly customers cancel after the first billing cycle. They analyze why this matters in the current market, using Snowflake's 9.2% stock jump as a case study of how investors reward sticky, low-velocity revenue. The episode also covers how buyers are structuring earnouts around weekly cohort retention data, and why one serial acquirer now discounts any target whose churn velocity exceeds 5% per month.
#ChurnVelocity #SoftwareM&A #RevenueRetention #Snowflake #Earnouts #CustomerChurn #CohortAnalysis #SubscriptionRevenue #M&AMetrics #TechDeals #Business #Finance #BusinessPodcast #FexingoBusiness #AcquisitionStrategy #DueDiligence #SaaS #RetentionRate
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In this episode, Lucas and Luna examine why software acquirers are increasingly pricing customer migration risk into deal structures. With a 9.9% five-day gain in Snowflake meaning customers are reassessing their data infrastructure bets, the hosts discuss how buyers now audit customer migration patterns during due diligence. They explore real cases where acquisition values were adjusted due to embedded migration dependencies, and why earnouts increasingly hinge on migration cost and speed. Lucas breaks down the specific metrics dealmakers use, while Luna questions whether this marks a permanent shift in software M&A or a temporary reaction to the post-AI migration landscape.
#SoftwareMA #CustomerMigration #DueDiligence #MAndA #Snowflake #TechDeals #CloudMigration #Earnouts #AcquisitionRisk #Business #Technology #FexingoBusiness #BusinessPodcast #DealRoom #MigrationCost #DataInfrastructure #RevenueRisk #PostAI
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Episode 79 of Tech M&A with Fexingo. Lucas and Luna explore why strategic buyers are now tying earnout payments to the timeliness of revenue recognition — not just revenue totals. They unpack a recent mid-market SaaS deal where the buyer inserted a 90-day 'revenue visibility window' clause after discovering the target's backlog was being booked as deferred revenue with no clear conversion timeline. The hosts tie this to broader market signals: Adobe's 4% gain and ServiceNow's 5.7% rise in a week where software stocks like Oracle shed 15% — suggesting investors are rewarding companies with predictable revenue streams. Plus, a look at how the SEC's latest revenue recognition guidance is reshaping M&A term sheets.
#RevenueVisibility #SoftwareM&A #SaaS #Earnouts #EarnoutStructure #RevenueRecognition #SEC #ASC606 #Adobe #ServiceNow #Oracle #TechM&A #StrategicBuyers #DueDiligence #Business #Technology #FexingoBusiness #BusinessPodcast
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Episode 78 of Tech M&A with Fexingo dives into a growing concern for acquirers: the open source dependencies buried in a target's codebase. Lucas and Luna discuss how buyers like Salesforce and Adobe are now auditing for GPL licensing, abandoned upstream projects, and supply chain vulnerabilities. The hosts cite recent shifts in deal terms where earnouts now factor in a company's ability to maintain critical open source packages. They also reference stock moves in CRM, ADBE, and NOW as signals of investor focus on software quality. Plus, a look at how the Linux Foundation's new security initiative is reshaping due diligence checklists.
#TechMandA #SoftwareAcquisitions #OpenSourceRisk #GPL #SoftwareSupplyChain #Earnouts #Salesforce #Adobe #ServiceNow #LinuxFoundation #Business #Technology #Podcast #FexingoBusiness #BusinessPodcast #TechDeals #SoftwareDevelopment #DueDiligence
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On Tech M&A with Fexingo, Lucas and Luna unpack a new due diligence frontier: customer migration risk. When a target company runs on its own infrastructure, acquirers now audit how hard it is to move customers to the buyer's platform. They discuss a recent case where a midmarket CRM acquisition fell apart because the target's data export system was so complex that migration would take 18 months. Lucas cites the latest show notes: cloud repatriation costs are now a line item in 40% of software deal term sheets, up from 12% two years ago. They explore how this changes earnout structures, integration timelines, and valuation multiples. Luna pushes back on whether this is just a negotiating tactic, and Lucas counters with hard data on post-merger churn rates for companies that skipped the migration audit. If today was actually useful to you, the way these stay ad-free is listener support — buy me a coffee dot com slash fexingo.
#SoftwareMA #CustomerMigrationRisk #DueDiligence #MergerIntegration #CloudRepatriation #TechDeals #Earnouts #ChurnRate #DataPortability #Valuation #MAndA #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #LucasAndLuna #CRM #PostMergerIntegration #MigrationCosts
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In this episode of Tech M&A with Fexingo, Lucas and Luna explore a growing trend in software acquisitions: earnouts tied to developer retention. As buyers pay premiums for engineering talent, deals are increasingly structured to keep key engineers on board post-close. Lucas cites a recent $1.2 billion acquisition where 40% of the earnout was tied to retaining the CTO and senior team for two years. Luna questions how retention metrics are defined — is it headcount or code output? The hosts also touch on how the FTC's recent approval of Elon Musk's acquisition of Mesh, a SpaceX alumni startup, signals a regulator-friendly environment for talent-driven M&A. With Microsoft's market cap hovering near $3 trillion and Big Tech competing for AI engineers, developer retention earnouts are becoming a standard clause. The episode draws on data from the IGV tech ETF and real-world deal structures to show how this shift is reshaping negotiations. A concrete look at how M&A contracts are evolving to protect the most valuable asset: people.
#TechM&A #SoftwareAcquisitions #DeveloperRetention #Earnouts #TalentM&A #EngineeringVelocity #FTC #MeshAcquisition #ElonMusk #SpaceXAlumni #AIEngineers #TechTalent #IGV #Microsoft #MergersAndAcquisitions #BusinessAndTechnology #FexingoBusiness #BusinessPodcast
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Episode 75 of Tech M&A with Fexingo examines a new due diligence trend: buyers auditing not just how many customers a target has, but how revenue is distributed across customer tiers. Lucas and Luna dig into a real case—a $2B SaaS acquisition where the buyer discovered that 40% of recurring revenue came from customers paying below list price. They discuss how tier-based revenue concentration analysis is becoming a standard diligence item, what it reveals about pricing power and retention risk, and why private equity firms like General Atlantic are pushing for it. The hosts tie the conversation to current market signals: Adobe and Salesforce both up, Oracle cratering on cloud concerns, and the broader push for revenue quality over quantity. If you're building or buying software companies, this episode offers a practical lens on what sophisticated buyers are looking for.
#SoftwareM&A #RevenueConcentration #CustomerTiering #SaaS #DueDiligence #PricingPower #PrivateEquity #GeneralAtlantic #Adobe #Salesforce #Oracle #RevenueQuality #TechDeals #M&ATrends #Business #Technology #FexingoBusiness #BusinessPodcast
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