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#73Invested by Aleph82.0 / 100Get badge
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Invested by Aleph

Hosted by Michael Eisenberg

Listed under Business

★5.0on Apple Podcasts · 5 recent reviews

How can values create value? Join Venture Capitalist and Author Michael Eisenberg as he speaks with global business leaders to explore the values and purpose behind their businesses, the impact of technology on humanity, and the humanity behind digitization.

79 episodes · publishes fortnightly · latest 2026-08-12 · ~63 min/episode

Rank

#73

Substance

82.0

/ 100

Breakdown

Scored 2026-08
Updated monthly

Startups & Founders rank

#8 of 151

Best B2B Startups & Founders Podcasts →

Across the index

#73 of 1878

Substance

Top 4%

outscores 96% of the index

Why it scores where it does

Invested by Aleph ranks #73 on The B2B Podcast Index with a substance score of 82.0 out of 100, scored across 2 recent episodes. It scores highest on guest caliber and insight density. Yuval is a genuine operator with deep tech experience (10 years in Israeli military intelligence, founding/leading product at Onavo/Facebook and Fundbox, current solo GP), meaningful portfolio results (NextSilicon, Jiga), and dual platform expertise spanning VC and academia. However, he is neither a household name nor at the scale of top-tier VCs managing $500M+, which limits his status to 'very credible practitioner' rather than 'exceptional industry figure.'

The five-dimension breakdown

Averaged across 2 recently scored episodes, with cited evidence.

Insight Density

17.0 / 20

The episode delivers substantial insights about pre-consensus investing, VC strategy, and market dynamics, but is diluted by meandering personal anecdotes (theater production, Sopranos discussion, Columbia campus politics) that consume significant time without advancing the core investment thesis. Strong sections on NextSilicon's architecture and Jiga's $1.1 trillion market exist alongside filler about domain name negotiations and identity politics.

“a lot of non consensus, pre consensus...trying to imagine what this could be, despite not necessarily having that comp to point to. Uh, but once the business proves something, then everybody can imagine it.”

“if you look at that market and you ask yourself how much spend worldwide is for that type of uh, hardware procurement, I believe in 2025 was something close to $1.1 trillion”

Originality

15.5 / 20

The pre-consensus vs. consensus framing is thoughtful but not entirely novel (echoes Marks' work acknowledged in the episode). The compounding inequality analysis and identity-as-media-downstream thesis are interesting but largely abstract theorizing. The NextSilicon architecture insight (zero time-to-market chips) is genuinely novel, but much of the broader framework recycles established VC wisdom about timing, founder quality, and market sizing.

“the very exciting thing for me about NextSilicon is that it's a platform company...whose architecture is uniquely built for the challenges that we face today”

“the more your pre existing asset, uh, is larger, is more diversified, the more you can compound, the faster you can compound and the yield you can get is better.”

Guest Caliber

18.5 / 20

Yuval is a genuine operator with deep tech experience (10 years in Israeli military intelligence, founding/leading product at Onavo/Facebook and Fundbox, current solo GP), meaningful portfolio results (NextSilicon, Jiga), and dual platform expertise spanning VC and academia. However, he is neither a household name nor at the scale of top-tier VCs managing $500M+, which limits his status to 'very credible practitioner' rather than 'exceptional industry figure.'

“I joined up a couple of friends who started Onavo, which was a mobile data analytics company...Ran product engineering there for a while...started Fundbox”

“in the last eight years I've been investing. Um, I started as an angel investor and a general partner in a fund called Lion Bird. Um, and then five years ago I set up Symbol.”

Specificity & Evidence

17.0 / 20

Strong on portfolio examples (NextSilicon's architecture, Jiga's $1.1T market, Onavo acquisition by Facebook, Fundbox revenue traction) and fund mechanics (16-18 investments, 15-20% ownership targets, $50M fund one, $75M fund two, $2M average checks). Weak on quantitative evidence for broader claims: vague numbers on Columbia LP sourcing ($9M of $50M), unsupported assertions about VC bifurcation and media effects, no hard data on pre-consensus thesis ROI.

“I believe in 2025 was something close to $1.1 trillion”

“in fund one, our average, um, our average ownership at entry was uh, we targeted 15%, ended um, up being 16%.”

Conversational Craft

14.0 / 20

The host asks thoughtful clarifying questions on pre-consensus strategy, fund sizing, and NextSilicon architecture, but largely allows meandering responses without pushback. Critical moments are missed: no challenge on the 'Israel's Nvidia' hyperbole despite the host's mild skepticism, insufficient drilling on the NextSilicon technical differentiation, no hard questions on why pre-consensus deals perform better (anecdotal only). The episode devolves into sociological tangents (identity politics, media history) without rigorous interrogation of relevance to VC strategy.

“So is this just a question of timing? Like, okay, at some point this will be consensus, but right now it's not?”

“What's exponential about it? You think next silicon could be Israel's Nvidia. What's instead of what's exponential, what's the catalyst for that?”

Standout episodes

  • Yuval Ariav, Solo GP of Symbol Capital, on Pre-Consensus Investing, Why NextSilicon Could Be Israel's NVIDIA, and the $1.1 Trillion Market Hiding in Plain Sight

    2026-07-01

    86
  • Almost Everything We Believed About AI a Year Ago Was Wrong - Seven Experts Who Still Can't Agree on Whether It's a Bubble, Who It Pays Off For, or What Comes Next

    2026-08-12

    78

Rank over time

2 periods tracked.

Episodes

2 scored on substance · 62 tracked in total.

  • Almost Everything We Believed About AI a Year Ago Was Wrong - Seven Experts Who Still Can't Agree on Whether It's a Bubble, Who It Pays Off For, or What Comes Next

    2026-08-12 · 16 min

    78 / 100
  • Yuval Ariav, Solo GP of Symbol Capital, on Pre-Consensus Investing, Why NextSilicon Could Be Israel's NVIDIA, and the $1.1 Trillion Market Hiding in Plain Sight

    2026-07-01 · 1h 1m

    86 / 100

What listeners say on Apple Podcasts

★★★★★
Good podcast
I liked some episodes more than other melonox was my favorite. @micheal if you read this review please respond to my email ha!

- Tech monster123

★★★★★
My favorite podcast
Refreshingly genuine and thought provoking

- Inbario

Frequently asked

What is Invested by Aleph's substance score?
Invested by Aleph scores 82.0 out of 100 for substance and ranks #73 on The B2B Podcast Index. That puts it ahead of 96% of the B2B podcasts we rank and #8 of 151 in Startups & Founders. The score reflects insight density, originality, guest caliber, specificity and conversational craft across recent episodes - not downloads.
Is Invested by Aleph worth listening to?
Yes - Invested by Aleph outscores 96% 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 Invested by Aleph?
Invested by Aleph is hosted by Michael Eisenberg.
How often does Invested by Aleph publish?
Invested by Aleph publishes fortnightly, has 79 episodes, released its most recent episode on 2026-08-12.
Which Invested by Aleph episode should I start with?
Our highest-scoring recent episode is "Yuval Ariav, Solo GP of Symbol Capital, on Pre-Consensus Investing, Why NextSilicon Could Be Israel's NVIDIA, and the $1.1 Trillion Market Hiding in Plain Sight" (86/100) - a good place to start.

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Frequently discusses

Companies, products and tools that come up most across this show's episodes.

Symbol CapitalOliveNVIDIANextSiliconColumbia UniversityMotorolaZebraAmazonHadestownAxiosOpenAI

Guests who've appeared

Gavin BakerSarah TableMiha KaufmanEllad RazAaron SheeranZach GreenbergerYuval Ariav

Topics this show covers

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

Claude (Anthropic)Large Language Models (LLMs)Open source AI modelsAI agents and autonomous systemsGemini (Google)Return on invested capital (ROIC)Nvidia Hopper and Blackwell GPU architecturesOpenAI business model sustainabilityInference vs. training economicsNexar and Nauto mergerNvidiaColumbia UniversitySymbol Capitalpre-consensus investingNextSiliconIsraeli venture ecosystemseed-stage investingtheater production

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