$CODA – The early $KRKNF 🔥
Coda Octopus Group is one of the most overlooked deep-tech companies in the small cap universe.
What makes it interesting is not just growth potential - it's the technology moat.
Coda developed the Echoscope real-time 3D/4D sonar, a system capable of producing live volumetric images underwater even in zero visibility.
Very few companies in the world can deliver this capability, which gives Coda something close to a technology monopoly in this niche.
Their systems are used for:
• Naval operations
• Underwater robotics (UUVs)
• Offshore infrastructure inspection
• Search & recovery missions
And the customer list is serious.
Coda technology is used within programs connected to major defense contractors such as:
• Lockheed Martin
• Northrop Grumman
• BAE Systems
as well as government and naval organizations including the U.S. Navy.
On top of that, the company introduced DAVD (Diver Augmented Vision Display) an augmented-reality system that allows divers to see sonar imagery and navigation data directly inside their helmet.
Now combine that with the macro trend:
The underwater robotics and autonomous subsea vehicle market is rapidly expanding, driven by defense spending, offshore energy infrastructure, and subsea monitoring.
Small float.
Profitable.
Defense-grade technology.
Near-monopoly niche.
Sometimes the most interesting companies are the ones operating in the deepest waters.
Coda Octopus Group is one of the most overlooked deep-tech companies in the small cap universe.
What makes it interesting is not just growth potential - it's the technology moat.
Coda developed the Echoscope real-time 3D/4D sonar, a system capable of producing live volumetric images underwater even in zero visibility.
Very few companies in the world can deliver this capability, which gives Coda something close to a technology monopoly in this niche.
Their systems are used for:
• Naval operations
• Underwater robotics (UUVs)
• Offshore infrastructure inspection
• Search & recovery missions
And the customer list is serious.
Coda technology is used within programs connected to major defense contractors such as:
• Lockheed Martin
• Northrop Grumman
• BAE Systems
as well as government and naval organizations including the U.S. Navy.
On top of that, the company introduced DAVD (Diver Augmented Vision Display) an augmented-reality system that allows divers to see sonar imagery and navigation data directly inside their helmet.
Now combine that with the macro trend:
The underwater robotics and autonomous subsea vehicle market is rapidly expanding, driven by defense spending, offshore energy infrastructure, and subsea monitoring.
Small float.
Profitable.
Defense-grade technology.
Near-monopoly niche.
Sometimes the most interesting companies are the ones operating in the deepest waters.
🇨🇭 Global One SI - Prompt
$SPCX has begun trading, making its debut price at $150 per share.
SPACEX $SPCX JUST CROSSED $172 🟢🟢🟢
Will it hold above IPO price?
Will it hold above IPO price?
🇨🇭 Global One SI - Prompt
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Google DeepMind CEO Demis Hassabis on why young people should make themselves "superpowered" with AI tools:
When Hassabis gives talks at universities and schools, his core piece of advice is simple:
Lean all the way into where technology is heading.
"You've got to just go with the flow of the direction," he says. "I would immerse myself in every tool available and just become almost like superpowered with those tools and those capabilities."
His reasoning comes from what he sees inside the frontier labs themselves.
So much effort goes into simply building the next versions of these models that even the people making them can't keep up with everything those models could do.
"Even at the frontier labs, there's so much work that has to go into just making the next versions of these frontier models and then all the adjacent models. So for us, like Veo and Nano Banana and Gemini, even we can only explore a fraction of the applied things you could do with it, the applications you could make with it."
And that gap, #demishassabis explains, is widening:
"I think that gap's getting bigger and bigger, in terms of the overhang of the capabilities, all the cool stuff on the latest models. And the release schedules are getting faster and faster."
This is where Hassabis sees the opportunity.
The people positioned to win aren't necessarily the ones building the models, they're the ones who master the tools and point them at something new.
"The opportunity space is getting huge for people who are really expert at using those tools and then apply it to some new domain."
He puts it in stark terms:
"A kid these days could probably start a multi-billion dollar business in some ways, using these tools in some new way that no one had thought about."
When Hassabis gives talks at universities and schools, his core piece of advice is simple:
Lean all the way into where technology is heading.
"You've got to just go with the flow of the direction," he says. "I would immerse myself in every tool available and just become almost like superpowered with those tools and those capabilities."
His reasoning comes from what he sees inside the frontier labs themselves.
So much effort goes into simply building the next versions of these models that even the people making them can't keep up with everything those models could do.
"Even at the frontier labs, there's so much work that has to go into just making the next versions of these frontier models and then all the adjacent models. So for us, like Veo and Nano Banana and Gemini, even we can only explore a fraction of the applied things you could do with it, the applications you could make with it."
And that gap, #demishassabis explains, is widening:
"I think that gap's getting bigger and bigger, in terms of the overhang of the capabilities, all the cool stuff on the latest models. And the release schedules are getting faster and faster."
This is where Hassabis sees the opportunity.
The people positioned to win aren't necessarily the ones building the models, they're the ones who master the tools and point them at something new.
"The opportunity space is getting huge for people who are really expert at using those tools and then apply it to some new domain."
He puts it in stark terms:
"A kid these days could probably start a multi-billion dollar business in some ways, using these tools in some new way that no one had thought about."
✍1
🇨🇭 Global One SI - Prompt
I think a lot of people are still underestimating what's happening with $AMPG. The AI era is already arriving. And I don't just mean chatbots. I mean AI controlling the physical world. You don't want it to be $ERIC or $NOK. Unless you're European, obviously.…
While the entire timeline is rightfully hyper-focused on the $AMPG 5G Open RAN telecom rollout, social media is completely missing the silent, multi-billion-dollar deep-tech moat hiding right on their balance sheet: Quantum Computing Infrastructure. 🧠🔐❄️
Let's look at the facts the market hasn't priced in yet:
🧊 The Ultimate Physics Problem: To run advanced quantum computing architectures and secure next-gen AI encryption, superconducting quantum processors must operate in extreme deep-freeze environments—specifically at 4 Kelvin (-452°F), which is colder than deep space.
📡 The Sole U.S. Provider: At those near-absolute zero temperatures, standard hardware freezes and drops signals. AmpliTech spent years quietly perfecting proprietary, patented Cryogenic HEMT Low-Noise Amplifiers (LNAs) designed specifically to survive this environment and maintain perfect signal fidelity for quantum calculations. They are currently the only high-performance, U.S.-based manufacturer delivering this hardware.
🏢 The Client List Hiding in Plain Sight: They have already quietly delivered working prototype cryogenic units to two Fortune 50 companies leading the global quantum revolution, alongside elite research universities.
When the street looks at $AMPG, they see a micro-cap telecom company. When you look at the actual intellectual property and U.S. patent portfolio, you see the indispensable, specialized hardware spine that the entire future of Quantum AI and cybersecurity must physically run on. We aren't blinking. Let the engineering speak for itself. 💎🇺🇸🛰️
#QuantumComputing #ValueInvesting #SmallCaps #DeepTech #Alpha
Let's look at the facts the market hasn't priced in yet:
🧊 The Ultimate Physics Problem: To run advanced quantum computing architectures and secure next-gen AI encryption, superconducting quantum processors must operate in extreme deep-freeze environments—specifically at 4 Kelvin (-452°F), which is colder than deep space.
📡 The Sole U.S. Provider: At those near-absolute zero temperatures, standard hardware freezes and drops signals. AmpliTech spent years quietly perfecting proprietary, patented Cryogenic HEMT Low-Noise Amplifiers (LNAs) designed specifically to survive this environment and maintain perfect signal fidelity for quantum calculations. They are currently the only high-performance, U.S.-based manufacturer delivering this hardware.
🏢 The Client List Hiding in Plain Sight: They have already quietly delivered working prototype cryogenic units to two Fortune 50 companies leading the global quantum revolution, alongside elite research universities.
When the street looks at $AMPG, they see a micro-cap telecom company. When you look at the actual intellectual property and U.S. patent portfolio, you see the indispensable, specialized hardware spine that the entire future of Quantum AI and cybersecurity must physically run on. We aren't blinking. Let the engineering speak for itself. 💎🇺🇸🛰️
#QuantumComputing #ValueInvesting #SmallCaps #DeepTech #Alpha
🇨🇭 Global One SI - Prompt
Every time you watch a massive heavy-lift rocket punch through the atmosphere, remember this: launching the payload is only 10% of the battle. The real challenge is maintaining a flawless data link with that asset once it hits orbit. 🚀🛰️🌌 Here is why $AMPG…
When people hear about AmpliTech's proprietary 4-Kelvin Cryogenic LNAs, they immediately think of quantum computing refrigerators.
Here is the part the market misses: Quantum didn't invent the need for cryogenic amplification—deep space exploration did. 🛰️❄️🌌
To capture incredibly faint data signals travelling millions of miles from Mars rovers, deep space probes, or modern low-Earth orbit (LEO) satellite constellations, ground station dishes encounter a brutal law of physics: thermal noise. Standard amplifiers get too hot, drowning out the faint data beam.
By running AmpliTech's cryogenically cooled hardware down to near-absolute zero, global satellite tracking networks drop internal thermal noise to virtually zero.
Whether it’s shielding qubits inside an advanced quantum computing facility or cleanly downloading high-frequency telemetry from an orbital satellite grid, the physical bottleneck remains exactly the same. AmpliTech owns the master key to both of these multi-billion-dollar secular tailwinds. The ultimate deep-tech moat. 💎🇺🇸☕
#SpaceTech #QuantumAI #Satcom #ValueInvesting #FinTwit
Here is the part the market misses: Quantum didn't invent the need for cryogenic amplification—deep space exploration did. 🛰️❄️🌌
To capture incredibly faint data signals travelling millions of miles from Mars rovers, deep space probes, or modern low-Earth orbit (LEO) satellite constellations, ground station dishes encounter a brutal law of physics: thermal noise. Standard amplifiers get too hot, drowning out the faint data beam.
By running AmpliTech's cryogenically cooled hardware down to near-absolute zero, global satellite tracking networks drop internal thermal noise to virtually zero.
Whether it’s shielding qubits inside an advanced quantum computing facility or cleanly downloading high-frequency telemetry from an orbital satellite grid, the physical bottleneck remains exactly the same. AmpliTech owns the master key to both of these multi-billion-dollar secular tailwinds. The ultimate deep-tech moat. 💎🇺🇸☕
#SpaceTech #QuantumAI #Satcom #ValueInvesting #FinTwit
🇨🇭 Global One SI - Prompt
Private markets are still pouring capital into robotics. Simultaneously, many of China’s leading robotics companies are lining up for IPOs. This is not exhaustive. These are major and recent IPO signals; many more, especially in the supporting stack, are…
Engineering is freakin mesmerizing in every way and form
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Engineering is real magic
For rockets, what’s better:
more engines or bigger engines?
#SaturnV
#NewGlenn
#Starship
1. Smaller engines = better use of rocket base.
2. Easier and cheaper to 3D print at scale.
3. More engines = higher redundancy and safety.
4. Easier thrust control for precise landings.
33 Raptors fit Starship’s design perfectly.
more engines or bigger engines?
#SaturnV
#NewGlenn
#Starship
1. Smaller engines = better use of rocket base.
2. Easier and cheaper to 3D print at scale.
3. More engines = higher redundancy and safety.
4. Easier thrust control for precise landings.
33 Raptors fit Starship’s design perfectly.
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SpaceX is now worth $2 trillion.
$ELVN Sometimes the biggest moves start when a chart stops asking for permission.
Multi-month consolidation.
Higher lows.
Breakout.
Volume expansion.
Strong relative strength.
Now price is beginning to separate itself from the base.
This looks like the start of a new trend, not the end of one.
Definitely on my radar.
Multi-month consolidation.
Higher lows.
Breakout.
Volume expansion.
Strong relative strength.
Now price is beginning to separate itself from the base.
This looks like the start of a new trend, not the end of one.
Definitely on my radar.
🇨🇭 Global One SI - Prompt
The real frenzy starts once the most hyped companies go public. Space: SpaceXai Defense: Anduril Al: OpenAl, Anthropic Robotics: Figure Al, Apptronik Fintech: Stripe, Revolut Crypto: Kraken, Ripple, Prediction Markets: Polymarket, Kalshi Chips: Groq, Cerebras…
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When pushed, we'll do what it takes to win. #Anduril
🇨🇭 Global One SI - Prompt
The robotics race is not one lane. ‣Robotiq handles the grip ‣OTTO moves the load ‣Boston Dynamics pushes mobility ‣OnRobot builds the end effectors ‣Tesla brings humanoids into the debate ‣Symbotic attacks warehouse automation Different robots. Same pressure…
Humanoid robotics funding + deals are accelerating fast.
Tracked cumulative value of selected public rounds + major deals:
2017 $0
2018 $820M
2019 $820M
2020 $840M
2021 $1.72B
2022 $1.93B
2023 $2.15B
2024 $2.93B
2025 ≥$4.56B
2026 up to $7.38B
Not total market funding.
#HumanoidRobots #Robotics #PhysicalAI #AI #Automation
Tracked cumulative value of selected public rounds + major deals:
2017 $0
2018 $820M
2019 $820M
2020 $840M
2021 $1.72B
2022 $1.93B
2023 $2.15B
2024 $2.93B
2025 ≥$4.56B
2026 up to $7.38B
Not total market funding.
#HumanoidRobots #Robotics #PhysicalAI #AI #Automation
🇨🇭 Global One SI - Prompt
🛣️ Local AI → This week at Computex in Taiwan, a new competitor was revealed on the PC home inferencing landscape 💻 Localmaxxing is becoming the new laptop war. ⚔️ Check out the prebuilt AI PC options 👇 🔥 AMD Strix Halo (now) Strix Halo is here. Up to…
AMD Ryzen AI Halo. The ultimate local AI developer platform.
Pre-order now: bit.ly/4xv5PJS
⚡ Up to 128GB unified memory
⚡ Support for models up to 200B parameters
⚡ Windows & Linux support
⚡ Ready-to-run AI workflows out of the box
Build, prototype, and deploy locally without cloud constraints.
Pre-order now: bit.ly/4xv5PJS
⚡ Up to 128GB unified memory
⚡ Support for models up to 200B parameters
⚡ Windows & Linux support
⚡ Ready-to-run AI workflows out of the box
Build, prototype, and deploy locally without cloud constraints.
🇨🇭 Global One SI - Prompt
POV: That friend who always says 'I don't have money' but magically finds funds to buy the dip
Bought the dip $VOYG and $BKSY.