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#2357ScaleHQ Podcast65.0 / 100Get badge
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Startups & FoundersNEW this period

ScaleHQ Podcast

Hosted by Sean Steele

Founders who've scaled. Founders still striving. What could you achieve if you knew the secrets and strategies of the Founders who've already achieved scale?

130 episodes · publishes fortnightly · latest 2026-03-17 · ~44 min/episode

Rank

#2357

Substance

65.0

/ 100

Breakdown

Scored 2026-07
Updated monthly

Startups & Founders rank

#363 of 923

Best B2B Startups & Founders Podcasts →

Across the index

#2357 of 6183

Substance

Top 38%

outscores 62% of the index

Why it scores where it does

ScaleHQ Podcast ranks #2357 on The B2B Podcast Index with a substance score of 65.0 out of 100, scored across 1 recent episode. It scores highest on specificity & evidence and guest caliber. The guest names specific positions (TSMC, Apple, Merck, Lululemon, Deckers), quotes real portfolio cash percentages, year-by-year return comparisons versus the index, and VIX levels cross-referenced with historical events - meaningfully above average; some figures are approximate and unaudited, limiting full credit.

The five-dimension breakdown

Averaged across 1 recently scored episode, with cited evidence.

Insight Density

14.0 / 20

There are occasional useful data points - VIX thresholds, specific portfolio cash percentages, sector rotation logic - but the episode is padded heavily by long host wind-ups, repetitive summarising, and generic market commentary that fills significant runtime without adding new information.

“the market actually dropped by about 20% and we were actually up by about 12%. So we outperformed the market by 32%”

“VIX index generally when they subside, uh, at the moment, um, last week it actually spiked above 30. And that's actually my sign. When it goes up 30 and above, that is when we start pulling back”

Originality

10.0 / 20

The episode leans almost entirely on well-worn financial heuristics - the Buffett/Graham fear-greed inversion, the taxi-driver top indicator, and 'sector rotation' - with no genuinely contrarian or first-principles argument developed at depth; the AI cost-structure point is mildly interesting but is raised by the host and then dropped.

“be fearful when others are greedy and greedy when others are Fearful. So it's almost a reverse psychology and contrarian thinking”

“when the Uber driver or taxi driver tells you that what stocks to buy and what, you know, what different assets like crypto and things you to get into, that's when you know that oh, it's topping the market”

Guest Caliber

15.0 / 20

Terry Tran has credible practitioner roots as a former fund manager with claimed 30 years in finance and a live portfolio he shares with 2,000 students, which adds accountability; however, he has transitioned primarily into a course-selling and community educator role, and several claims about returns and background are unverifiable from the transcript alone.

“my background is I have been a uh, hedge fund manager, uh, been in the game, financial game for almost pretty much 30 years now, uh, managing other people's money”

“we've got about 2,000 odd students”

Specificity & Evidence

16.0 / 20

The guest names specific positions (TSMC, Apple, Merck, Lululemon, Deckers), quotes real portfolio cash percentages, year-by-year return comparisons versus the index, and VIX levels cross-referenced with historical events - meaningfully above average; some figures are approximate and unaudited, limiting full credit.

“On the trading front I'm almost 60 odd percent in cash. On the long term investing I'm just over 40 odd percent in cash as well. When I spoke to you back then we only had about 20% cash.”

“this year alone the estimation is about $2.5 trillion going to AI models to improve the, including infrastructure”

Conversational Craft

10.0 / 20

The host consistently delivers multi-sentence speeches before asking questions, frequently answers his own queries before the guest can respond, and never meaningfully challenges the guest's performance claims or forecasts; the one moment of genuine craft is pulling up live VIX data during the recording, but overall the interview functions more as a promotional platform than a rigorous conversation.

“So today is about what's actually going on, Terry, how does it affect people's wealth building strategy? What should they be doing about it? What's actually happening in real time? Because for those who, when you're listening back to this in the future.”

“In 2008, it blew out to about 44. Uh, during COVID it, uh, blew all the way out to 53.54. And right now it's sitting at 35.”

Standout episodes

  • 130 - Protecting Your Wealth in a Volatile Market with Terry Tran

    2026-03-17

    65

Rank over time

First period on the Index - history builds from here.

Episodes

1 scored on substance · 60 tracked in total.

  • 130 - Protecting Your Wealth in a Volatile Market with Terry Tran

    2026-03-17 · 44 min

    65 / 100

Frequently asked

What is ScaleHQ Podcast's substance score?
ScaleHQ Podcast scores 65.0 out of 100 for substance and ranks #2357 on The B2B Podcast Index. That puts it ahead of 62% of the B2B podcasts we rank and #363 of 923 in Startups & Founders. The score reflects insight density, originality, guest caliber, specificity and conversational craft across recent episodes - not downloads.
Is ScaleHQ Podcast worth listening to?
Yes - ScaleHQ Podcast outscores 62% of the B2B startups & founders podcasts and shows we rank on substance, so a startups & founders operator is likely to come away with something useful.
Who hosts ScaleHQ Podcast?
ScaleHQ Podcast is hosted by Sean Steele.
How often does ScaleHQ Podcast publish?
ScaleHQ Podcast publishes fortnightly, has 130 episodes, released its most recent episode on 2026-03-17.
Which ScaleHQ Podcast episode should I start with?
Our highest-scoring recent episode is "130 - Protecting Your Wealth in a Volatile Market with Terry Tran " (65/100) - a good place to start.

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Guests who've appeared

Terry Tran

Topics this show covers

The themes that come up most across this show's episodes.

SaaS business modelsTSMCActive portfolio managementAI bubble valuationGeopolitical risk (Middle East, Venezuela)Tech sector concentrationS&P 500 overvaluationMeta and Google profitabilityCash positioning strategyUnloved sector rotation

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