Logos Labs - The Surely You’re Joking Protocol Token $LOGOS

TL;DR: My protocol strategy returned 19x in 6 years. My venture fund might return 3x in the same amount of time. It made me ask myself, wtf am I doing?

Six years ago, I joined the long line of people who believed they could succeed at venture capital. I raised a small fund, invested in people I knew well, and worked my ass off on it. The outcome was respectable—it should return 2-3x over the next few years.

But alongside that, I had placed small sums into a couple of protocols and then promptly forgot about them. No meetings, no effort, no chasing. Those went up 19x. The contrast was humbling, almost embarrassing. But it was also clarifying.

The experience showed me that sometimes effort is the enemy, and that compounding doesn’t reward activity—it rewards patience. The best results came not from what I did, but from what I left alone. That realization is now the foundation of Logos Labs: owning protocols, resisting the temptation to intervene, not chasing deals with emotions, and letting time do its work.

Below is the strategy for how I’m now investing my own personal money, and I’ve built it completely open, onchain, and permissionless - so anyone can join me without having to ask me for anything.

Here’s the 1, 2, 3 for the entire strategy:

Protocols → Own the few foundational rails that will run the next internet.

Patience → Buy with rules, not emotions, let time do the work.

Forever → Reinvest all yield, never sell the great ones, and let them compound.

⚡ TL;DR: Protocols. Patience. Forever.

Intro to the Thesis

We could pretend we built some genius quant model. In reality, it’s identifying the protocols that matter, waiting until they’re half off, and ensuring that acquiring the assets happens automatically. Congratulations—you now know everything about our “strategy.”

Let me try to really simplify what I’m trying to do here. I want to keep converting dollars that I have into the few protocols that I believe in. I want to do this as simply as possible and not have to spend all my time analyzing the right time to “buy in.” That’s my entire focus for this strategy. Put my personal US Dollars into USDC, have the system deploy it into the few protocols I believe in when they are undervalued. That’s it.

Backdating the Thesis

This all started based on how I invested six years ago. But I wanted to know: would this simple strategy actually work, regardless of when the money was invested? Would the outcomes hold up across different market cycles? Would it have worked if I had invested $100k into this strategy yearly instead of all at once?

So we backed the thesis with real data. We tested it across Bitcoin and Ethereum prices from 2019 to 2025 to see what would have happened if the fund had been running all along. The rule was the same every time:

Identify the protocols that matter - this is all that matters and we spend all of our time thinking about, researching, and trying to better understand protocols.

Only buy once they’re at least 50% below their all-time high. You can deposit cash at any time; the cash will only deploy into the tokens once they drop below 50% of their ATH.

Automate the entire process.

No timing games, no special insight—just this simple model.

Here’s what the numbers say: regardless of when deposits were made, if we followed this strategy, these are the outcomes.

Backtested Outcomes (2019-2025)

Backtested Outcomes (2019-2025)

Strategy

Total Invested

Ending Value (Sept 2025)

Multiple

Notes

Fixed-Date DCA (June 30)

$600,000

$4.18M

7.0×

Always buys, even near peaks.

Random Day Each Year

$600,000

$4.82M avg (range $3.6M–$6.1M)

~8.0×

Depends on luck of entry dates.

<25% of ATH

$600,000

$7.49M

12.5×

Almost always triggers, strong returns.

<40% of ATH

$600,000

$7.52M

12.5×

Best mix of consistency + upside.

<50% of ATH

$550,000

$7.45M

13.5×

Highest multiple. It skipped BTC in 2024, which is incredible because it shows that patience wins. The most significant return.

<70% of ATH

$400,000

$6.80M

17.0×

Huge multiples, rarely deploys. Risk of never deploying enough capital.

<75% of ATH

$400,000

$6.83M

17.1×

Same as 70%—only invests in crashes. Risk of never deploying enough capital.

There are no rows in this table

⁠

Why It Matters

The <50% Rule is where the magic shows up:

Compared to DCA, returns are nearly 2× higher ($7.45M vs $4.18M).

Compared to Random Day, returns are ~55% higher ($7.45M vs $4.82M).

And it accomplished this with less money deployed ($550k vs $600k).

Put simply: It works. The uglier the chart, the better the outcome. The simpler the model, the better the returns.

That’s it. This is how I personally invest in crypto. I buy $LOGOS token with $USDC, which gives me my ownership in the protocol vault. The Logos protocol vault does everything else automatically. You can check out the protocol algorithm and leave feedback

here.⁠

(It’s fully open-sourced.)

The coolest part? Anyone can join. Anyone can give feedback on the model or run different scenarios to help improve it. It’s all open-sourced, and the vault is permissionless. If you believe in the strategy, you can simply buy $LOGOS token at

http://vault.logoslabs.com⁠

Who is this not for?

Someone who always wants to do something. Our entire strategy is to protect ourselves from our own ego, decide on the direction, and do nothing. Insecurity keeps people busy. Confidence sits patiently.

Someone looking to make a quick buck. If you are looking to get rich quick in the next couple years, this is not the right place.

Someone who wants to figure out when to sell & thinks they know how to time the market. We literally don’t even think about selling. It really makes our jobs easier and returns better results. (Which is why we only invest money we don’t need. Your need for liquidity is what backs people into corners and bad timing.)

Someone who thinks short-term. We think long-term. Longer than you think. We believe it’s the only way to truly win.

⁠

That’s it, the end.

If you want to read the extended version and contribute to the open model, email me shane@logoslabs.com.

Intro to the Thesis

Backdating the Thesis

Backtested Outcomes (2019-2025)

Why It Matters

That’s it, the end.

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