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The 5 Stages Every Startup Actually Goes Through (And Why 73% Get Stuck at Stage 2)

  • 0
Alessandro Marianantoni
Wednesday, 20 May 2026 / Published in Founder Resources, Startup Strategy
Featured cover for the M Accelerator article 'The 5 Stages Every Startup Actually Goes Through (And Why 73% Get Stuck at Stage 2)' — lean analytics stages empathy stickiness virality revenue scale official.
The official lean analytics stages—empathy, stickiness, virality, revenue, and scale—represent the five sequential milestones every data-driven startup must navigate, yet 73% of founders get permanently stuck at stage two because they misdiagnose their actual position. These stages aren’t just academic concepts from the Lean Analytics playbook; they’re the difference between a founder at $300K ARR
(andactuallyanalyticsearly-stage startupeverygoesrevenuescale-upstickinessstuck

The AI Sales Ops Playbook Most Founders Get Wrong (And Why It’s Killing Your Close Rate)

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Alessandro Marianantoni
Tuesday, 19 May 2026 / Published in Founder Resources, Startup Strategy
Featured cover for the M Accelerator article 'The AI Sales Ops Playbook Most Founders Get Wrong (And Why It's Killing Your Close Rate)' — ai sales ops playbook.
An AI sales ops playbook is the systematic framework for using artificial intelligence to optimize your sales operations—from lead scoring to pipeline velocity. Most founders think it’s about automating emails or using ChatGPT for outreach, but that’s exactly why their close rates stay stuck at 15% while watching competitors scale past them. Here’s what nobody
(andB2B SalescloseElite Foundersit'skillingplaybook:rate)wrongyour

The LP’s Dilemma: Why 90% of Venture Studios Fail to Deliver (And How to Spot the 10% That Don’t)

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Alessandro Marianantoni
Saturday, 16 May 2026 / Published in Founder Resources, Startup Strategy
Featured cover for the M Accelerator article 'The LP's Dilemma: Why 90% of Venture Studios Fail to Deliver (And How to Spot the 10% That Don't)' — how to evaluate a venture studio as an lp.
Picture this: You’re sitting across from yet another venture studio pitch deck, and something feels off. The team has Google and McKinsey pedigrees, they’re targeting a $50B market, and their thesis sounds compelling. But six months later, their portfolio is bleeding cash with no clear path to profitability. Sound familiar? Evaluating a venture studio as
(andcorsi di studiodeliverydilemma:don'tlp'sspotstudiosthatventure

Why Your AI Credit Scoring Model Is Rejecting Good Borrowers (And How to Fix Your Risk Framework)

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Alessandro Marianantoni
Thursday, 14 May 2026 / Published in Founder Resources, Startup Strategy
Featured cover for the M Accelerator article 'Why Your AI Credit Scoring Model Is Rejecting Good Borrowers (And How to Fix Your Risk Framework)' — credit scoring ai for small business lenders.
AI credit scoring for small business lenders promises to reduce defaults while expanding loan volumes, yet most implementations are rejecting creditworthy borrowers at alarming rates. Credit scoring AI for small business lenders refers to automated systems that analyze multiple data points to predict loan repayment probability, but the reality is that 73% of these models
(andborrowersbusiness modelframework)goodlendersrejectingscoringsmall businessyour
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    The Talent Code: Unlocking the Secrets to Culti...

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