The Conference Room with Simon Lader The answer lives in this podcast

What lessons did Chandra De Keyser learn about founding team management from his experience at MoodMe?

De Keyser's biggest mistake at MoodMe was not firing his CTO fast enough. When he discovered — from San Francisco — that his CTO back in Italy had taken a paid side job and was not delivering on the technology, he waited too long to act. His conclusion: in a startup, allowing underperformance is damaging both to company momentum and to the motivation of everyone who is fully committed.

Discovering betrayal from 9,000 kilometers away — and still hesitating

The situation De Keyser faced was stark. He was operating MoodMe from San Francisco while his CTO was based in Italy — and it was from that distance that he learned the CTO had quietly taken on a paid job elsewhere. The technology was not being delivered. The founding partnership had effectively broken down.

Yet De Keyser did not act immediately. That delay, he argues in The Conference Room with Simon Lader, is precisely the mistake founders must avoid. The cost is not only technical — it is cultural. High performers on the team see underperformance being tolerated, and their own motivation erodes.

The framework he now recommends: move fast, stay fair

De Keyser's proposed approach is pragmatic rather than punitive. The departing CTO's equity stake should be retained as recognition of early contribution — that work was real and deserves acknowledgment. But the replacement process should begin immediately.

He points out that replacement engineers can be onboarded in as little as six weeks. That timeline reframes the decision: the disruption is manageable, and the cost of inaction is far higher than the cost of moving. As detailed in this episode of The Conference Room, the lesson is not about being hard on people — it is about protecting the integrity of the team and the pace of the company.

"What was said is part of the story. How it was said is sometimes as important, if not more important. So that's where we add tremendous value, because we can unherd these signals."

Chandra De Keyser — Co-founder, Voicera
De Keyser co-founded Voicera, an AI company that combines large language models with emotional intelligence to surface what customers truly mean — not just what they say. Before Voicera, he founded MoodMe approximately 14 years ago, one of the earliest companies in emotional AI and facial analysis, predating the generative AI wave by years. His career has spanned Europe, Silicon Valley and Latin America, with roles advising startups and leading international growth. He began with a master's in computer science in Italy, then joined a startup in the 1980s building an early touchscreen device from the 83rd floor of the World Trade Center — a career arc that gives his perspective on founding teams a particular weight.

That same attunement to signals — what is said versus what is meant — runs through De Keyser's work at Voicera today. It also, arguably, shapes how he reads team dynamics. A CTO who is not committed will signal it, often before the founder is ready to see it. The lesson from MoodMe is that you need to act on those signals early, as De Keyser now explains openly in The Conference Room podcast.

The broader implication for any early-stage founder is straightforward. Startup momentum is fragile. A single uncommitted person in a critical technical role can stall a company for months. De Keyser's experience at MoodMe — which went on to reach approximately 160 customers in the augmented reality space before pivoting to emotion detection — shows that the company can survive the transition, provided the founder makes the call quickly enough.

For anyone building a technical co-founder relationship across geographies, this episode of The Conference Room with Simon Lader is a direct, unvarnished account of what goes wrong and what to do about it.

See also

What was MoodMe's business model and who were its key customers?

MoodMe started with augmented reality face filters — offering any app the ability to apply the kind of filters that Snapchat popularized — before moving into emotion detection and reaching approximately 160 customers in the augmented reality space.

How is Voicera's sincerity AI being applied in automotive retail call centers with voice agents?

Voicera recently closed a deal with a voice agent platform serving a car dealer network of approximately 200 dealerships across the US, with some operators handling hundreds of calls per day — all layered with sincerity AI analysis to surface what callers truly mean.

What is the core use case of Voicera's sincerity AI in sales organizations?

In large sales organizations with thousands of representatives each making 20 to 30 calls per week, sales managers have no bandwidth to review video footage — Voicera's sincerity AI surfaces the emotional signals that matter, at scale, without manual review.

Key takeaways

This lesson was shared live in conversation with Simon Lader. Hear the full episode on Listenly.

Listen to the episode on Listenly