Podcast Summary: "Tech, AI, & Bitcoin Treasuries with Mike Flaum aka Grain of Salt"

Podcast: The Bitcoin Treasuries Podcast with Tim Kotzman
Host: Timothy Kotzman
Guest: Mike Flaum ("Grain of Salt")
Date: January 9, 2026

Overview

In this episode, Tim Kotzman interviews Mike Flaum, also known as "Grain of Salt," a veteran Silicon Valley product manager, investor, and recent author in the Bitcoin treasury and AI space. The conversation spans Mike's career trajectory from traditional tech and product management roles to deep involvement in Bitcoin treasury strategy and AI, with a special focus on investing, company balance sheets, the evolution of corporate Bitcoin treasuries, and analytical frameworks from his recent books.

Mike Flaum’s Background & Early Bitcoin Involvement

[00:14 – 03:17]

• Career Journey: Mike discusses a 25-year career in Silicon Valley, emphasizing his approach to investing by viewing companies like products ("Each company is a product as a product manager, and I just looked at it that way." – [00:33])
• Discovery of Bitcoin Treasuries: Found MicroStrategy’s move into Bitcoin in August 2020, seeing it as revolutionary:
  “If bitcoin is good for a person, it's good for a company, it's good for a sovereign nation.” – Mike ([01:12])
• Earlyness of the Space: Tim and Mike reflect on how obscure major figures like Michael Saylor still are outside tight circles.
  “We're early. No one has heard of anyone in this space outside of...a very small circle.” – Tim ([02:18])

Technology’s Role in Shaping Adoption & Professional Advantage

[03:17 – 07:50]

• Mike shares how repeated waves of technology revolutionize business, drawing on examples from the rise of the internet, personal computers, and networking.
• Story: Installing internet in Florida schools in 1998, witnessing sixth graders manage desktop publishing projects most adults couldn’t do.
• Key Insight: Young people adapt first; learning technology is essential for continued relevance.
  “If you're uncomfortable by technology, the only solution is to learn more about it.” – Mike ([06:34])
• Draws a parallel to Michael Saylor adapting MicroStrategy for Bitcoin.

Product Management Mindset & Understanding Corporate Incentives

[07:50 – 12:45]

• Mike stresses the importance of understanding profit margins and applying product management rigor to investment/treasury decisions.
• Profit Focus: Many Bitcoin startups lack focus on profit:
  “If you're not making a profit, that's problematic.” ([12:13])
• Critical Industry Observation:
  “On a whole bunch of Bitcoin spaces...the word profit never comes up.” ([12:31])

Bitcoin Treasuries as a New Asset Class

[12:45 – 17:00]

• Early impressions of Bitcoin companies like MicroStrategy were as “levered Bitcoin proxies.”
• Mike entered Bitcoin via Grayscale for retirement account reasons; developed an understanding of premiums/discounts and capital structure.
• Strategy Shift:
  “As soon as we heard that, we knew it was big. We just didn't know where it was going to go.” ([14:36])
• Mike’s conviction grew post-2022 after seeing survivors of the crypto winter.

Purpose and Audience for the Bitcoin Treasury Book

[17:00 – 20:08]

• Audience: CEOs and CIOs of Bitcoin treasury companies, plus retail for the historical record.
• Sought to provide rigorous post-mortem and frameworks for evaluating company outcomes, especially covering the “second wave” (2024–2025).
• Intention to pass the scrutiny of AI systems for future analyses.
  “If you upload...to AI and...say, what went wrong? Read this book and it will tell you the reason.” ([18:22])
• Reflections on the permanence and seriousness of publishing a book versus social posts.

Valuing Bitcoin Treasury Companies: Misconceptions and Metrics

[20:08 – 32:11]

Misconceptions About Market Value

• Perception and Reality: Groupthink creates “consensus reality” which can be wrong.
• Operating vs. Balance Sheet Companies:
  • Bitcoin treasuries are balance-sheet driven, unlike classic growth/income statement-focused tech firms.
  • Market misunderstood the business models and metrics.

Saylor and FASB

• Michael Saylor’s successful push for fair-value accounting:
  “You wanted to change the market, you read the requirements, you submitted it and it changed.” ([22:28])

Viral Metric Revelation

• Mike reversed the classic “bitcoin per share” metric to “shares per bitcoin,” making efficiency gains more intuitive.
  • MicroStrategy (Strategy): 2020 = 1700 shares/bitcoin; 2026 = 500 shares/bitcoin.
  • His post explaining this simplicity went viral:
    “In the morning, I go to sleep. I wake up the next morning, it's at 2 million views. 2 million.” ([27:09])

Evaluating Other Metrics

• MNAV (Multiple to Net Asset Value): Called a “terrible metric” as it ignores Bitcoin quantity and relative capital efficiency.
  • Example: Two companies at the same MNAV but different Bitcoin stacks are not equivalent.
• BTC Yield: Misleadingly used to hype smaller firms’ “growth” when all balance sheet-based companies are tethered to Bitcoin’s performance.

The Process of Writing an AI Book (and the Limits of Publishing)

[32:11 – 39:39]

• Mike describes writing three versions of his AI primer:
  • 1st: Too technical, AI called it “useless.”
  • 2nd: At a master’s/PhD level, but human readers found it inaccessible.
  • 3rd: Targeted for universal comprehension (“no matter whether they're 8 or 80 years old” – [36:40]).
• Innovative Licensing:
  • Buyers are allowed to upload the book to AI systems for querying, but not for model training.
• AI as Feedback Loop:
  • Used multiple AIs (GPT-4, Perplexity, Claude) for feedback and grading around readability and clarity.

Authoritative Insights on AI as a Decision-Making Tool

[39:39 – 49:09]

• AI as a Mirror:
  “If you ask it a simple question, it'll give you a simple answer. If you ask it a tough question… it’ll give you a detailed answer.” ([43:36])
• Vital to provide context and challenge AI outputs for good analysis.
• Critical Use Case: Use AI for downside and skepticism; not just for positive affirmations.
  “When AI gives you an answer, you're like, okay, say what can go wrong?... That's the way AI works.” ([44:14])

Memorable Example

• On ice cream carts (context for AI):
  “If you tell AI, I'm going to do the ice cream cart right in Vermont in the winter... it’ll be, ‘Hey, Mike, I don't think that's a very good idea.’ If you don't do that, it won't tell you that.” ([48:42])

Future Outlook: Bitcoin, Government Debt, and Advice

[49:09 – 51:07]

• Remains optimistic but realistic about macro conditions.
• U.S. government deficit and monetary policy point to ongoing dollar debasement; bullish for Bitcoin.
• Closing philosophy:
  “Be positive, keep on swimming, keep on learning. And when you use AI, just realize that it's a mirror.” ([50:50])

Notable Quotes & Moments

• Mike on Learning Tech:
  “If you're uncomfortable by technology, the only solution is to learn more about it. Not learning more about it is the worst thing because you have less options in the future.” ([06:34])

• On Profit Focus:
  "You could build a product...that gives them massive value...But if you're not making a profit, that's problematic." ([12:13])

• On Post-Viral Moment:
  “I write the post and that day it goes 10,000 views ... 80,000 ... 600,000 ... In the morning: 2 million.” ([26:15 - 27:09])

• On AI’s Value:
  “AI is a mirror. It gives back what you ask... Simple question, simple answer; complex question, complex answer. And you may not like it, but that's what it does.” ([43:36])

• On the Economic Future:
  “Structurally the US government is going to continue overspending... They have to print more money and that's what happens with bitcoin. Bitcoin's not going up in value. It just takes more dollars to buy the same Bitcoin.” ([49:39])

• Life Advice:
  “If you're always negative you wouldn't do anything... I'll quote from Finding Nemo: Keep on swimming. That's the only choice you have.” ([49:27])

Key Timestamps

• 00:14 – Mike's background; how he entered Bitcoin treasuries
• 06:34 – Learning technology as a necessity for relevance
• 12:13 – Profit and business fundamentals in Bitcoin startups
• 17:12 – Bitcoin treasury book’s purpose and audience
• 20:08 – Misconceptions in market metrics and Saylor’s fair value push
• 27:02 – Viral success of the “shares per bitcoin” metric
• 32:17 – The three iterations of Mike’s AI book and lessons learned
• 39:39 – Applying and grading books with AI; AI as a tool
• 43:34 – How to best use AI in investing
• 49:22 – 2026 outlook: U.S. debt, inflation, bullish case for Bitcoin

Final Takeaways

• Adopt a product management lens for financial analysis—focus on profit and capital efficiency.
• Bitcoin treasury companies are fundamentally balance sheet vehicles: evaluate them for capital allocation, not just income growth.
• Question mainstream metrics like MNAV and simplistic “yield” numbers; seek deeper understanding of fundamental drivers.
• AI should be used as a mirror, not an oracle—the quality of analysis depends on input, context, and thoughtful skepticism.
• Authors and investors should embrace scrutiny and iteration, whether it comes from AI, the market, or viral feedback.