Galgo

Speedrunning financial freedom

[Galgo @galgospeedrun]

@Million_Sancet Word

[Athu @athuinvests]

Price targets for photonic stocks that personally haven’t changed for me despite the recent drop.

1. $SIVE - $10 (2026)
2. $AAOI - $750 (2028)
3. $COHR - $500 (2027)
4. $LITE - $1500 (2027)
5. $MRVL - $500 (2027)
6. $ALAB - $600 (2027)
7. $MXL - $150 (2026)
8. $SMTC - $250 (2027)
9. $TSEM - $500 (2027)

[Galgo @galgospeedrun]

@__Con_ @athuinvests The hedge idea sounds actually very smart move, i like how you think.

Btw thx on the crypto tips, appreciate it.

[Galgo @galgospeedrun]

@athuinvests Thank you!! Nice info.
Also, are you familiar with @__Con_ article about Enablers-Beneficiaries-Power thesis?
I was thinking about allocating some % on the beneficiaries layer just because of the insane -50% YTD… you have any thoughts on that?

[Galgo @galgospeedrun]

@TheAjayCV @athuinvests Please elaborate! What is that projection based on? Greetings

[Galgo @galgospeedrun]

@athuinvests Nice! Glad to help. Really fan of your content and ideas. Let me know id you dig deeper into that! Tbh i’m still confused on the robotics theme, but eager to understand it better.

[Galgo @galgospeedrun]

@athuinvests Bearings for robotics mobility! Check this graph, projections by Morgan Stanley are insane. Link below.

https://t.co/jZMfIDHOBA

[P Equity Research 📰 @pequityresearch]

Morgan Stanley: Bearings

The Big Picture: Bearings as a Core Robotics Play

> Architecture-Agnostic Growth: Bearings offer a diversified way to invest in the robotics sector because they are required regardless of a robot's ultimate design or form factor.

> Massive Market Expansion: Morgan Stanley forecasts a massive ~300x growth in the robot bearings market through the year 2050.

> Low Risk of Obsolescence: Bearings face very low substitution, in-sourcing, or obsolescence risks—you simply cannot design moving machines around them.

> OpenAI Endorsement: In a recent Request for Proposal (RFP) for U.S.-based hardware manufacturing capacity, OpenAI listed precision bearings as 1 of 6 critical components in its robotics category.

Content Scales with Robot Complexity

> Bearings 101: Every single motor in a robot requires at least one or more bearings to reduce friction and support rotating parts.

> Degrees of Freedom (DoF): As robots get more complex, the number of bearings multiplies.

Small quadcopter drone: Requires 8–12 bearings.

Humanoid robot: Requires 70 or more bearings.

> Pricing Variability: Depending on the specific use-case, individual bearings can range from under $1 to as much as $100

Global Bearings Market Dynamics

> Consolidated Supply: The top 6 global manufacturers control over 50% of the global roller market, with Chinese manufacturers making up about 25%.

> Current Demand Split: Roughly 40% of the overall market goes to industrial equipment OEMs, 30% to automotive, and 30 to distribution channels

[Athu @athuinvests]

$ONDS is a great buy at current levels.

$1B revenue with a clean balance sheet by 2027 and tons of cash in hand. Revenue growth is phenomenal.

Industry recognition speaks volumes.

Asymmetrical upside. Institutional buying has been heavy. 👀 Last three quarters. They know something.

Risk is dilution but isn’t a worry due to the fact that it’s building a world class business and technology for defense.

Shareholder value will increase long-term, no doubt. They’re in an expansion phase and so that cash is necessary.

Uncertainty about dilution could test shareholders and so it’s important to have that in mind while buying and holding. Long-term player.

[M. V. Cunha @mvcinvesting]

One week ago, the market was freaking out because $META allegedly had excess compute.

Today, Reuters reported that the company plans to double its computing capacity to 14GW by 2027.

Another reminder of how important it is to filter out the noise.

[Athu @athuinvests]

$AAOI: 5X upside to $750 by 2028 (breakdown)

Mid-2027 (projected run rate): $471M/month
- 800G: ~$217M/month
- 1.6T: ~$71M-$164M/month
- 100G & 400G: ~$90M/month

FY28 Valuation Metrics:
- Estimated Revenue: $6B
- Market Cap: $60B (10x P/S)
- Upside: 5x
- Price Target: $150 → $750

Observation: This is the bull case. 50% of execution in revenue by 2028 still gives 2-3x upside. 👊

[Athu @athuinvests]

Data centers tracked across the United States.

- Total Facilities: 2,825
- Operating: 1,152
- Planned / Under Construction: 1,635

Planned Capacity is 365 GW.

Building a 1-gigawatt (GW) AI data center costs between $35 billion and $60 billion in total capital expenditure.

Industry averages estimate roughly 70% of this budget goes toward IT hardware (servers and high-end GPUs) and 30% toward physical infrastructure (power generation, building construction, and advanced cooling).

That means ~$10T-$20T spent to build them.

Current global data center buildout and infrastructure spending from 2026 to 2030 is projected to reach $7 trillion.

[Serenity @aleabitoreddit]

For robotics companies, I have a favorable view on Unitree and Agility Robotics, two humanoid players.

And I have largest concentration in Agility Robotics, since I personally prefer US humanoid players.

For upstream component exposure, I currently own:

- Harmonic Drive (6324) given high content BOM on things like harmonic reduction gear.
- Vishay Precision for sensors and a possible candidate for Telsa Optimus.

LeaderDrive (688017) and Schaeffler I have favorable views on but don't own personally.

Many of the other AI DC players, I have indirect exposure to robotics like memory.

Don't recommend anyone to copy, just sharing personal positions/thoughts.

Humanoid sector is large, and as seen with Goldman Sachs report that "Korean companies will command a 30% direct and indirect share of global humanoid robot production".

Lot of players out there globally. This was an older report but just linking it again since you see all of them pop up in GS institutional reports + what they cover.

Agility Robotics is my personal favorite as of now.

[Galgo @galgospeedrun]

@Million_Sancet Good news!!!

[Galgo @galgospeedrun]

@TheBigBerbowski Maybe $SIVE ?
Several hyperscalers orders, linked to CPO bottleneck manifesting next year, backed by institutional buying, Nasdaq listing. I’m sure you already know all this stuff. So maybe it’s a good pick.

[Galgo @galgospeedrun]

Note to self:

“So I'm personally probably going to repositioning right now around:”
- Memory (25%)
- Neoclouds (25%)
- Photonics (40%)
- Robotics (10%)

[Galgo @galgospeedrun]

Again?? The only green close on my watchlist $BRUN

[Galgo @galgospeedrun]

Note to self:

All watchlist on red afterhours but $BRUN

Btw,
Bullish on $LITE $SIVE $VST $GEV $TSM $MRVL $NBIS $BRUN

[Galgo @galgospeedrun]

Note to self:

All watchlist on red afterhours but $BRUN

Btw,
Bullish on $LITE $SIVE $VST $GEV $TSM $MRVL $NBIS $BRUN

[Paradis Labs @ParadisLabs]

You won't escape the permanent underclass by investing in ETFs.

My principles on portfolio construction:

If your portfolio is under ~$300k, I generally advise 5-10 high conviction stocks.

That amount seems to be a nice balance between growth + diversification.

Right now, something like this could work well (NFA):

- Growth (70%) - $SNDK / $MU / $AAOI / $NBIS / $AEHR / $RKLB / $RDDT
- Stability (30%) - $NVDA / $GOOGL / $MSFT which compound over the years

Just for a random subset of names, and obviously dependent on your personal risk profile.