⁠Stock Analysis Compilation
River Oaks on Innovative Food Holdings $IVFH US

Thesis: Innovative Food Holdings' scalable business model, strategic acquisitions, and debt reduction plan position it for strong long-term growth

(Extract from their Q4 letter) https://t.co/MGhRVe2mAI
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RT @BourbonCap: Soros Capital Management (George Soros) added $SOFI $NVDA $EL $AFRM

Sold 100% of $BABA https://t.co/EdF1sdfjWQ
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RT @JulianGoldieSEO: This FREE AI browser agent does what ChatGPT Pro charges $200/month for... 🤯

• Run AI commands directly in YOUR browser (not some virtual environment!)

• Save $200/month vs ChatGPT's browser agent

• Get UNLIMITED research reports (vs ChatGPT's 3/day limit)

• Control Chrome with DeepSeek or Llama 2 (100% free)

• Draft tweets, search Amazon & automate tasks while you do other things

Full tutorial + setup guide in video 👇
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RT @dangainor: @PandasAndVidya HR should only handle benefits and internal problems. Not hiring. That needs to be done by the department that will supervise the staffer. And approved by whoever is above them.
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⁠Startup Archive
RT @jack: the storytellers create the future. the rest of us build it.

Palmer Luckey explains why science fiction is a great place to look for ideas

“One of the things that I’ve realized in my career is that nothing I ever come up with will be new. I’ve literally never come up with an idea that a science fiction author has not come up with before.”

Palmer continues:

“It makes sense. There’s a lot of [science fiction authors]. They’ve been around for a long time. And they don’t have to make things. And they don’t have to wait for the right moment. I started Oculus at just the right moment for it to succeed. But a science fiction author doesn’t have to wait for something to be possible to think about it and to write about it and for people to be excited about the idea. And so every time I’ve come up with something, I’ve been able to find — usually many, sometimes one — science fiction pieces addressing literally exactly that idea by some guy who just thought about it like 50 years ago.”

He gives a few examples:

“Some of the stuff that I’m building today, for example, in the AR/VR space around augmenting the vision of soldiers — these are ideas that are from 1959 Starship Troopers novels. These are old ideas that have only recently become technologically feasible. The idea of autonomous fighter jets, that’s been around for about 100 years… people have been thinking about this since computers were programmed with punchcards.”

So if you’re having a hard time thinking of startup ideas, try reading science fiction.

Video source: @ShawnRyan762 (2025) - Startup Archive
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⁠Startup Archive
RT @bryce: Reminds me of this section of our conversation with @chr1sa where he describes his process for understanding possible futures through writing his own science fiction https://t.co/iPP3qvu25e

Palmer Luckey explains why science fiction is a great place to look for ideas

“One of the things that I’ve realized in my career is that nothing I ever come up with will be new. I’ve literally never come up with an idea that a science fiction author has not come up with before.”

Palmer continues:

“It makes sense. There’s a lot of [science fiction authors]. They’ve been around for a long time. And they don’t have to make things. And they don’t have to wait for the right moment. I started Oculus at just the right moment for it to succeed. But a science fiction author doesn’t have to wait for something to be possible to think about it and to write about it and for people to be excited about the idea. And so every time I’ve come up with something, I’ve been able to find — usually many, sometimes one — science fiction pieces addressing literally exactly that idea by some guy who just thought about it like 50 years ago.”

He gives a few examples:

“Some of the stuff that I’m building today, for example, in the AR/VR space around augmenting the vision of soldiers — these are ideas that are from 1959 Starship Troopers novels. These are old ideas that have only recently become technologically feasible. The idea of autonomous fighter jets, that’s been around for about 100 years… people have been thinking about this since computers were programmed with punchcards.”

So if you’re having a hard time thinking of startup ideas, try reading science fiction.

Video source: @ShawnRyan762 (2025) - Startup Archive
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⁠Quiver Quantitative
Representative Tim Moore appears to be literally day-trading.

He:

- Bought up to $100K of Harley-Davidson stock on January 3rd
- Sold it on the 7th
- Bought in again on the 9th
- Sold on the 16th
- Bought on the 24th
- Sold on the same day
- Bought in again on the 29th https://t.co/OIlcKCN3Hg
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⁠Hidden Value Gems
Interesting results, thank you for voting!

What is your biggest investment worry this year?
- Rising US debt, inflation
- Trade wars / Geopolitics
- Other
- China - Hidden Value Gems
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⁠Finding Compounders
Why we should care about ROIC and Reinvestment Rates

Source: @HaydenCapital https://t.co/lyFQuY2g3e
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⁠Dimitry Nakhla | Babylon Capital®
Having a more diversified revenue stream is praised as this lowers customer concentration risk

Amid the recent buzz surrounding $EFX & recent 13F’s, here’s a fun fact:
___

What % of total revenue do you think $EFX’s largest client accounts for? 🗳️
- Less than 3%
- Between 3% - 4%
- More than 5%
- Between 4% - 5%
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RT @buccocapital: (2/10) As a reminder, I asked ChatGPT to build me a prompt for Deep Research to do Deep Research on Deep Research prompting. It read all the blogs and literature on best practices and gave me a thorough report.

Then I asked for this to be turned into a prompt template for Deep Research. I've added it below. This routinely creates 3-5 page prompts that are generating 60-100 page, very thorough reports. I’ll be using this later:

Please build a prompt using the following guidelines:

Define the Objective:

- Clearly state the main research question or task.
- Specify the desired outcome (e.g., detailed analysis, comparison, recommendations).
Gather Context and Background:

- Include all relevant background information, definitions, and data.
- Specify any boundaries (e.g., scope, timeframes, geographic limits).
Use Specific and Clear Language:

- Provide precise wording and define key terms.
- Avoid vague or ambiguous language.
Provide Step-by-Step Guidance:

- Break the task into sequential steps or sub-tasks.
- Organize instructions using bullet points or numbered lists.
Specify the Desired Output Format:

- Describe how the final answer should be organized (e.g., report format, headings, bullet points, citations).
Include any specific formatting requirements.
Balance Detail with Flexibility:

- Offer sufficient detail to guide the response while allowing room for creative elaboration.
- Avoid over-constraining the prompt to enable exploration of relevant nuances.
Incorporate Iterative Refinement:

- Build in a process to test the prompt and refine it based on initial outputs.
- Allow for follow-up instructions to adjust or expand the response as needed.
Apply Proven Techniques:

- Use methods such as chain-of-thought prompting (e.g., “think step by step”) for complex tasks.
- Encourage the AI to break down problems into intermediate reasoning steps.
Set a Role or Perspective:

- Assign a specific role (e.g., “act as a market analyst” or “assume the perspective of a historian”) to tailor the tone and depth of the analysis.
Avoid Overloading the Prompt:

- Focus on one primary objective or break multiple questions into separate parts.
- Prevent overwhelming the prompt with too many distinct questions.
Request Justification and References:

- Instruct the AI to support its claims with evidence or to reference sources where possible.
- Enhance the credibility and verifiability of the response.
Review and Edit Thoroughly:

- Ensure the final prompt is clear, logically organized, and complete.
- Remove any ambiguous or redundant instructions.
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RT @buccocapital: (3/10)
Next, I prompted the following:

“You are an investment analyst who has been given 5 years of annual filings for a public company and have been asked to analyze how the business is doing. Give me a play-by-play of the process you’d take and the metrics you’d look at to determine the answer”

In order to treat this like a truly democratized process, I want to see how AI will perform with no additional investing domain knowledge.

I did not adapt the following response at all. You could obviously add your own experience and context here to tweak how you want your AI analyst to complete the task. Here is what it returned. I’ll also use this later alongside my prompting best-practices.

Here’s what it shared:

Here's a step-by-step process along with the key metrics I'd examine:

1. Get Oriented
- Understand the Business & Industry:
Read the introductory sections, business overview, and MD&A to grasp the company’s business model, competitive landscape, and industry trends.
- Set the Context:
Identify any major changes (e.g., new strategies, acquisitions, or market shifts) over the five-year period.

2. Analyze the Income Statement
- Revenue Growth:
Look at year-over-year revenue trends to understand sales performance.
- Cost Structure & Margins:
Check gross margin, operating margin, and net margin trends. Rising margins can indicate improved operational efficiency.
- Profitability Metrics:
Assess trends in EBITDA and net income. Compare earnings growth with revenue growth to see if the company is managing costs well.
- Earnings Per Share (EPS):
Evaluate EPS trends for shareholder profitability, while also noting any dilution effects.

3. Examine the Balance Sheet
- Asset Quality & Composition:
Understand the makeup of current vs. non-current assets and note any significant changes.
- Liabilities & Capital Structure:
Review debt levels, long-term obligations, and equity structure. Key metrics include:
- Debt-to-Equity Ratio: For assessing financial leverage.
- Interest Coverage Ratio: To see how comfortably the company can cover interest payments.
- Liquidity Ratios:
Check the current ratio and quick ratio to gauge the company’s ability to meet short-term obligations.

4. Scrutinize the Cash Flow Statement
- Operating Cash Flow:
Ensure that the company is generating healthy cash from its core business.
- Capital Expenditures (CapEx):
Look at CapEx trends relative to revenue growth, as excessive CapEx might indicate heavy reinvestment needs.
- Free Cash Flow:
This is crucial for understanding the company’s ability to return cash to shareholders, reduce debt, or fund growth.

5. Conduct Ratio & Trend Analysis
- Profitability Ratios:
Return on Assets (ROA)
Return on Equity (ROE)
- Efficiency Ratios:
Asset Turnover Ratio
Leverage & Solvency Ratios:
Debt/EBITDA, as another measure of debt sustainability.
- Trend Analysis:
Chart these metrics over the five-year period to spot consistent improvement or potential red flags.

6. Review Footnotes & Disclosures
- Accounting Policies:
Note any changes that could impact comparability.
- Risk Factors & Contingencies:
Identify risks that could affect future performance.
- One-Time Items:
Separate recurring operational performance from extraordinary or non-recurring events (e.g., asset sales, impairments).

7. Benchmark Against Peers
- Industry Comparisons:
Compare key metrics with industry averages or direct competitors to understand the company’s relative performance.
- Market Positioning:
Evaluate market share changes and competitive advantages or disadvantages over the period.

8. Assess Qualitative Aspects
- Management Discussion:
Evaluate management’s explanation of results, their strategic vision, and their commentary on future prospe[...]