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What happens after a startup succeeds?In our latest episode of Analyse Podcast, Bernard Leong speaks with Eric Ries — au...
06/06/2026

What happens after a startup succeeds?

In our latest episode of Analyse Podcast, Bernard Leong speaks with Eric Ries — author of The Lean Startup and the new book Incorruptible — about the chapter that comes after product-market fit, scale, and success.

Eric makes a provocative point: success does not protect a company’s mission. In many cases, it makes the company a more attractive target for capture. Financial gravity, governance gaps, and short-term incentives can slowly pull even the most mission-driven companies away from what made them matter in the first place.

Together, Bernard and Eric explore a governance blueprint for building “mission-controlled” companies that can resist those pressures, drawing lessons from companies such as Costco, Novo Nordisk, and Patagonia. They also discuss how AI may accelerate parts of the Lean Startup methodology — while validated learning remains deeply human.

If you are a founder, operator, investor, or anyone thinking about how companies can stay true to their purpose as they grow, this conversation is for you.

What do you think: can great companies be designed to remain incorruptible?

Read/listen at https://open.spotify.com/episode/0NLowrUXxvedcrSEjPJokT?si=8T6LjWAMR4O6j6aGbrrtBQ

Analyse Podcast · Episode

What if the most important chapter missing from The Lean Startup was not about product, growth, or experimentation — but...
05/06/2026

What if the most important chapter missing from The Lean Startup was not about product, growth, or experimentation — but governance?

In our latest conversation, our host Bernard Leong speaks with Eric Ries about “the governance fortress”: the structural protections that have allowed companies like Costco, Novo Nordisk, and Patagonia to stay mission-aligned and resilient over decades, even when conventional wisdom says they should have optimized for short-term financial engineering.

Eric argues that today’s governance orthodoxy has destroyed billions in shareholder value — and that Asia-Pacific leaders now have a rare opportunity: to leapfrog the governance failures the West is about to live through.

It is a provocative challenge for founders, boards, investors, and operators: how do you build an organization that remains incorruptible when incentives, markets, and pressure all change around it?

What would your company protect at all costs?

Watch the full video: https://youtu.be/WuHchkMO-Ts

Fresh out of the studio, Eric Ries — author of the new book Incorru...

What happens after you build something that works?In this new episode of Analyse Podcast, we speak with Eric Ries — auth...
04/06/2026

What happens after you build something that works?

In this new episode of Analyse Podcast, we speak with Eric Ries — author of The Lean Startup and his new book Incorruptible — about the chapter many founders only discover after success: how companies get corrupted, and what it takes to stay mission-driven when the stakes rise.

We explore why great organizations can drift from their original purpose, how “governance fortresses” can protect what matters, and what AI changes — and does not change — about validated learning. For founders, operators, investors, and leaders across Asia-Pacific, this is a timely conversation about building not just fast, but enduringly well.

You built something worth protecting. Did you protect it?

Read/listen at https://www.analysepodcast.com/incorruptible-the-chapter-the-lean-startup-missed-with-eric-ries/

Eric Ries reveals why success makes companies a target worth capturing — and offers a governance blueprint for founders to build companies that stay incorruptible.

# # Variant 2 — Analyse Podcast POVWhat made Steve Jobs ready to save Apple?Not just genius.Failure.This week on Analys...
04/06/2026

# # Variant 2 — Analyse Podcast POV

What made Steve Jobs ready to save Apple?

Not just genius.

Failure.

This week on Analyse Podcast, Geoffrey Cain joins Bernard Leong to discuss *Steve Jobs in Exile*, a new book on the overlooked years of NeXT, Pixar, and Jobs’s return to Apple.

The conversation challenges the familiar narrative.

Jobs did not simply leave Apple, wait, and return as a visionary.

He failed.
He misread the market.
He over-controlled.
He nearly lost everything.
Then he learned.

That transformation shaped the Apple we know today.

The bigger lesson: great leaders are not only formed by success. They are often refined by the period when success disappears.

What is the most underrated failure in technology history?

Watch the full YouTube video:

Fresh out of the studio, Geoffrey Cain, author of Steve Jobs in Exi...

Eric Ries’ new book Incorruptible asks a question every serious founder should confront: "What happens after you succeed...
04/06/2026

Eric Ries’ new book Incorruptible asks a question every serious founder should confront: "What happens after you succeed?"

Most startup advice focuses on getting to product-market fit, raising capital, scaling teams, and winning customers.

But Eric argues that founders also need to protect what they build.

Because success changes the game.

Once a company becomes valuable, new forces emerge: investor pressure, market incentives, internal politics, governance defaults, and the temptation to optimize for short-term financial outcomes.

That is why Eric argues for mission-protective structures from day zero.

The key lessons from our conversation:

1. Success can make a company vulnerable to capture.
2. Trustworthiness is a business asset that needs protection.
3. Governance should be designed before the company is under pressure.
4. In AI, biotech, and other high-impact sectors, institutional design is no longer optional.

The founder’s job is not only to build.
It is to build something that can remain true to its purpose.



Watch the full video:

Fresh out of the studio, Eric Ries — author of the new book Incorru...

Quote of the Day from our conversation with Yoel Roth:“You can't be content with just treating it as, 'Oh, we have to de...
18/05/2026

Quote of the Day from our conversation with Yoel Roth:

“You can't be content with just treating it as, 'Oh, we have to delete some posts, we have to moderate some stuff.' It's not that simple... These are really consequential decisions.”

Content moderation is often framed as a technical problem: remove harmful posts, write better rules, scale enforcement. But as Yoel points out, the harder truth is that platforms are governing communities of users — making decisions that affect speech, safety, trust, and the public square.

If platforms serve a constituency, what kind of accountability should we expect from them? More transparency? Clearer rules? Better appeals? Or something closer to public governance?

Read/listen at https://youtube.com/shorts/QNCgHpOmPuI

"You can't be content with just treating it as, 'Oh, we have to del...

Quote of the Day from our conversation with Peter Noszek:“This actually makes the Bay Area very different to somewhere l...
18/05/2026

Quote of the Day from our conversation with Peter Noszek:

“This actually makes the Bay Area very different to somewhere like Singapore. The Bay Area feels quite fragmented. You have many different communities. They're operating toward their own focused agendas and they often don't even communicate amongst each other. Whereas in Singapore it feels a lot more unified. It feels like there's a single approach. There's a national AI strategy. There is a lot of coordination between various government bodies and event organizers and community leaders and enterprises.” — Peter Noszek

A fascinating contrast: Silicon Valley has incredible density of talent, capital, and ambition — but Peter argues that it can still feel fragmented. Singapore, on the other hand, may have a smaller ecosystem, but the coordination between government, enterprises, community leaders, and event organizers can create a very different kind of momentum.

Which model do you think works better for building the future of AI: fragmented experimentation or coordinated strategy?



Read/listen at

"This actually makes the Bay Area very different to somewhere like Singapore. The Bay Area feels quite fragmented. You have many different communities. They'...

Trust and safety is often treated as a cost of doing business. But what if it is actually a growth engine?In our latest ...
14/05/2026

Trust and safety is often treated as a cost of doing business. But what if it is actually a growth engine?

In our latest episode, Bernard Leong speaks with Yoel Roth, Senior Vice President and Head of Trust and Safety at Match Group, to explore how trust and safety has moved from a behind-the-scenes function to a board-level discipline across platforms like Tinder, Hinge, and OkCupid.

Fresh from the studio, Yoel shares hard-won lessons from his work at Twitter/X and now Match Group, including a powerful reframing of online fraud as an economics problem. If scammers can create a new SIM card cheaply, how do platforms make “a new face” much more expensive? That question opens up a fascinating discussion on identity verification, platform health, user trust, and why trust and safety should sit alongside CAC as a serious business lever.

We also get into:
• why anonymity itself does not cause online abuse
• how the US, Europe, and China approach platform regulation differently
• why the future of trust and safety is really about governance
• how AI is changing the role of practitioners from moderators into auditors and overseers

One idea from Yoel really stayed with us: in an AI-driven world, trust and safety teams do not disappear. Their job evolves into governing automated decisions, spotting failures, and engineering better systems.

If you work in tech, marketplaces, social platforms, consumer internet, or just care about how online communities stay healthy at scale, this conversation is worth your time.

How should companies think about trust and safety today: compliance function, product feature, or growth strategy?

Read/listen at:
https://www.analysepodcast.com/how-trust-and-safety-in-match-group-became-a-growth-engine-not-a-cost-center-with-yoel-roth/

Yoel Roth on the economics of online fraud, why anonymity isn't the problem, and why trust and safety in the age of AI is now a board-level governance discipline.

What if the biggest cybersecurity gap is not detection — but the human bottleneck after detection?In this key moment fro...
04/05/2026

What if the biggest cybersecurity gap is not detection — but the human bottleneck after detection?

In this key moment from our conversation with John Morgan, we explore why security teams can miss critical attacks when investigations depend too heavily on manual analysis. The challenge is not that humans are not capable. It is that modern threat data moves too fast, across too many systems, for teams to consistently connect every signal, correlation, and response in time.

John explains where AI is already making an impact: ingestion, correlation, investigation, and eventually parts of response. But the future is not fully autonomous security overnight. For high-criticality incidents, humans will still want oversight. For repeatable, lower-risk responses, AI can act much faster.

The real question for security leaders: where should humans stay in the loop, and where is AI already better positioned to move first?



Read/listen at

3 likes. "AI vs. Humans: The Investigation Race? Why Your Security Team miss 50% of Attacks - John Morgan"

What if your security team is not losing the race because they lack tools — but because the investigation process still ...
04/05/2026

What if your security team is not losing the race because they lack tools — but because the investigation process still depends too much on humans doing time-consuming correlation work?

In our conversation with John Morgan, he points out a critical gap in cybersecurity today: many teams are still missing detections and correlations during investigation and analysis. That means attacks can slip through not because the signals are absent, but because humans may not have enough time, context, or capacity to connect them fast enough.

This is where AI can change the game.

From ingestion to correlation, investigation to response, AI can help security teams move faster across the entire spectrum. But John also highlights an important nuance: not every response should be fully autonomous. For high-criticality incidents, humans still need to stay in the loop. The opportunity is in deciding what can be automated safely, and where human judgment remains essential.

So the real question is: how much of your security response should AI handle — and where should humans still make the final call?



Read/listen at

3 likes. "AI vs. Humans: The Investigation Race? Why Your Security Team miss 50% of Attacks - John Morgan"

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