SUMMARY

In this episode, Gil shares the raw journey of building Metadata — from validating the idea through consulting, to nearly running out of cash, to eventually raising a $35M+ Series B. He explains how doubling prices unlocked product-market fit, why retention beats new logos, and how adopting AI transformed the company. This is a candid look at the highs, lows, and lessons every founder needs to hear.

FOUNDER:

Gil Allouche

https://www.linkedin.com/in/gilallouche/

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MAIN POINTS:

Gil found product-market fit by doubling prices until customers pushed back.

He shifted focus from chasing new logos to retaining high-NRR customers.

Metadata survived by cutting 85–90% of workforce costs and replacing work with AI.

He validated the idea through consulting first, proving ROI before building software.

The company nearly died in 2019–2020 but survived through investor support and scrappy financing.

Raising Series A took two years and 100+ pitches, but Series B was oversubscribed.

His biggest lessons: pause to reassess, trust intuition, be transparent, and get a coach.