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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

Why Mid-Market Carriers Are Building Their Own Data Platforms (And Why Most Fail)

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Alessandro Marianantoni
Wednesday, 13 May 2026 / Published in Founder Resources, Startup Strategy
Featured cover for the M Accelerator article 'Why Mid-Market Carriers Are Building Their Own Data Platforms (And Why Most Fail)' — logistics data platform for mid-market carriers.
A logistics data platform for mid-market carriers is a centralized system that integrates operational data from multiple sources—TMS, GPS, fuel cards, and driver apps—into actionable intelligence for companies managing 50-500 trucks. Most mid-market carriers are drowning in spreadsheets while their enterprise competitors use real-time dashboards to steal their best contracts. Picture a dispatch manager at
(andbuildingcarriersdata brokersfail)logisticsmid-marketplatformplatformstheir

Why Most Industrial Companies Are Sitting on a $2M Knowledge Management Problem (And How LLMs Change Everything)

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Alessandro Marianantoni
Wednesday, 13 May 2026 / Published in Founder Resources, Startup Strategy
Featured cover for the M Accelerator article 'Why Most Industrial Companies Are Sitting on a $2M Knowledge Management Problem (And How LLMs Change Everything)' — llm for industrial knowledge management.
LLMs for industrial knowledge management transform how companies capture, organize, and leverage decades of operational expertise—turning scattered tribal knowledge into accessible intelligence that drives 30-40% efficiency gains. A manufacturing founder recently discovered their senior engineer was retiring next month, taking 20 years of troubleshooting expertise that existed nowhere except in his head. The crisis? That
(andchangescompaniescustomer success managementeverything)industrialknowledgellmsproblemsitting
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Recent Posts

  • Featured cover for the M Accelerator article 'The $2M Mistake Canadian Founders Make When Expanding to the US (And the 4-Phase Framework to Avoid It)' — canadian startup expanding to us.

    The $2M Mistake Canadian Founders Make When Expanding to the US (And the 4-Phase Framework to Avoid It)

    Canadian startup expanding to US markets repres...
  • Featured cover for the M Accelerator article 'Why Your Sales Forecasts Keep Missing (And How to Build Better Ones Without Historical Data)' — sales forecasting without historical data.

    Why Your Sales Forecasts Keep Missing (And How to Build Better Ones Without Historical Data)

    Sales forecasting without historical data is th...
  • Featured cover for the M Accelerator article 'Why 97% of AI Startups Fail: They're Using Everyone Else's Data' — building proprietary datasets for ai.

    Why 97% of AI Startups Fail: They’re Using Everyone Else’s Data

    Picture this: You’ve built an AI product ...
  • Featured cover for the M Accelerator article 'The $180K Mistake: Why Early-Stage Founders Are Building AI Without Data Engineers (And Winning)' — ai without hiring data engineers.

    The $180K Mistake: Why Early-Stage Founders Are Building AI Without Data Engineers (And Winning)

    Here’s the truth about building AI in 202...
  • Featured cover for the M Accelerator article 'The Korean Founder's Silicon Valley Paradox: Why Your Technical Excellence Isn't Enough' — south korea to silicon valley startup.

    The Korean Founder’s Silicon Valley Paradox: Why Your Technical Excellence Isn’t Enough

    Moving a startup from South Korea to Silicon Va...

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