The largest IPO in history is $SPCX on June 12th valued at $1.75 trillion.
Elon Musk says by 2030 regular people will be ultra-wealthy.
Here's 20 companies directly linked to SPACEX:
1. $ASTS — Satellite-to-phone tech becomes backbone of Starlink's global mobile dead-zone elimination
2. $IONQ — Quantum computing powers SpaceX orbital AI compute satellites launching in 2028
3. $RDDT — Real-time data feeds Grok's truth-seeking AI engine via X integration
4. $RKLB — Rocket Lab fills small-payload launch demand SpaceX's Falcon can't efficiently serve
5. $LUNR — Lunar lander tech directly supports SpaceX's Moon base buildout timeline
6. $ACHR — Air mobility networks integrate with Starlink low-latency connectivity infrastructure
7. $LLAP — Terran Orbital builds small sats riding SpaceX rideshare missions at scale
8. $VIAV — Optical networking components critical for Starlink ground station infrastructure upgrades
9. $AEVA — LiDAR sensors enable autonomous Starship landing and booster catch precision systems
10. $SPIR — Space data analytics layer monetizing SpaceX's growing orbital satellite constellation
11. $KTOS — Defense tech partner powering Starshield national security satellite network contracts
12. $BWXT — Nuclear propulsion R&D aligns with SpaceX's Mars mission power requirements
13. $ARQQ — Quantum encryption secures Starshield government communications on classified orbital networks
14. $LAZR — Luminar LiDAR enables SpaceX autonomous vehicle docking and precision landing systems
15. $OUST — Sensor fusion tech supports SpaceX's booster catch and reusability automation stack
16. $MTSI — RF semiconductors power Starlink user terminal phased-array antenna signal processing
17. $GILT — Gilat Satellite ground infrastructure scales alongside Starlink enterprise fixed-site deployments
18. $SATL — Satellogic high-resolution imaging complements SpaceX orbital AI compute satellite constellation data
19. $TWST — Synthetic biology tools accelerate SpaceX's long-term Mars colonization life support research
20. $POET — Optical interposer chips slash data center power costs inside COLOSSUS AI cluster
Remember, the total market for space economy can be $200 trillion in less than 10 years thats 100x from IPO.
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This is WILD!
MIT just solved one of the hardest unsolved problems in robotics (Save this).
For decades, the fundamental problem with soft robots and wearable exoskeletons has not been compute or AI, it has been actuation.
The moment you try to give a soft robot meaningful strength, you run into the same wall every engineer has hit since the field began, fluid-driven systems require external pumps, hydraulic reservoirs, and heavy infrastructure that makes the entire thing impractical to wear or embed into fabric.
MIT's new Electrofluidic Fiber Muscles solve that problem by eliminating external infrastructure entirely.
The key insight is electrohydrodynamic pumping using electric fields to generate pressure directly from electricity, with no moving parts, no motors, and no external fluid reservoir.
The fibers are less than 2 millimeters thick, can be woven into fabric like ordinary textile, and operate in complete silence because nothing physically moves inside them, it is just ions propelling fluid through a closed circuit.
The performance numbers published in Science Robotics are not conceptual, they are empirical results from actual hardware.
These fibers achieve a power density of 50 watts per kilogram, matching skeletal muscle, with a contraction strain of 20% and a response time of 0.3 seconds.
A single bundled configuration lifted 4 kilograms, 200 times its own weight while a separate configuration drove a robotic arm through a 40-degree bend compliant enough to safely complete a human handshake.
Another configuration launched objects in under 100 milliseconds, which is faster than a human flinch reflex.
The design mirrors biological muscle architecture in a way that prior artificial muscle approaches never achieved.
The fibers are organized into antagonistic pairs, one contracts while the other extends, exactly like biceps and triceps and because the system runs in a closed loop, the relaxing fiber serves as the fluid reservoir for the contracting one, which is what allows the whole system to operate untethered with no external tank.
The applications are not hypothetical but rather are the exact use cases the industry has been waiting years for the hardware to catch up to.
Exoskeletons for physical labor, prosthetic limbs that move with the natural compliance of biological tissue, assistive garments for patients with motor disorders, and soft robots capable of safe physical contact with humans are all immediately unlocked by a muscle technology that is silent, lightweight, and weavable into clothing.
The deeper significance is what this technology does when it meets the AI robotics wave that is already underway.
Every major humanoid robot program, Figure, 1X, Boston Dynamics, Tesla Optimus is currently bottlenecked by the same hardware limitations these fibers address, actuators that are too rigid, too loud, too heavy, or too dependent on infrastructure to operate naturally alongside humans.
Electrofluidic fiber muscles do not just solve a materials science problem but rather they remove one of the last physical barriers between robots that live in labs and robots that live in the world.
Update on the $100K challenge!
$VELO just became our 4th best stock, up 40%+ two days!
Today, we've continued to trim slowly on our top performers like $BKSY and $BW.
We also added new positions from the lows like $KULR, and we also added to our hedge in $SOXS.
Follow my every move, we're going to make it big this year.
Most people see a street. He sees $300-600 per block.
A 24-year-old from Chengdu figured out that every hotel, every apartment, every commercial space within walking distance is an untapped asset. One nobody has packaged yet.
He straps a rig to his back, walks in, spends twenty minutes scanning the space, and leaves with a file that lets anyone on earth stand inside that room from their couch.
The client pastes a link on their booking page. Guests tour the property before they arrive. Cancellations drop. Reviews go up.
He gets paid $400 for the scan. $99 every month for hosting.
The technology: 3D Gaussian Splatting. Free on GitHub since 2023. The app: Luma AI. Also free. The page he delivers: built by Claude in ten minutes.
Total tool cost: $20/month.
Month one: $3,500. Month six: $18,000.
The streets haven't changed.
He just started charging for them.
Step 1: Pick a niche
Use ViralFindr to see what’s trending.
Choose a topic that’s evergreen and has constant demand.
→ Business
→ Artificial Intelligence
→ Health
→ Fitness
(No need to re-invent the wheel just tap into what already works)
🧠 3) AI-Proof Positioning
• Work managing AI, not competing with it
• Roles built around decisions, not tasks
• Skills that require judgment, taste, and creativity
• Positions where AI gives you leverage instead of replacing you
• Becoming the person who knows how to turn AI into outcomes
🏦 4) Income Outside Your Job
• Freelance work
• Online income streams
• Assets that pay you
• Small businesses or digital products
• Anything that brings in money without an employer
Here’s why this matters more than most people realize:
The President is telling you exactly what to invest in.
He just proposed a $1.5 trillion defense budget - that's a 44% increase.
Here are 10 defense stocks that are well off their highs to take advantage of:
1. $AVAV - AeroVironment
The Switchblade is the most battle-tested loitering munition on the planet. $186M US Army order for Switchblade 600 Block 2 and Switchblade 300 under a $990M five-year IDIQ contract. Raised FY2026 revenue guidance to $1.95-2.0B. Record funded backlog of $1.1B. Q3 bookings hit $2.1B in a single quarter. New 140,000 sq ft Salt Lake City facility can produce over $2B worth of Switchblade annually. Modern warfare runs on autonomous munitions and AVAV owns the category.