u/Fluffy-Pineapple-143

Fluffy Pineapple's portfolio trimmed several positions and added a couple. Here's what changed. Sold DOCN, great company, probably going higher, had good gains and had better opportunities. Sold AOSL, same story as DOCN, just not the gains, exited flat. Sold RKLB - had great gains. It'll go higher, but it increasingly no longer fit the asymmetric profile of risk/reward. Fluffy will take hate for that view. Sold CLOV, good gains, pretty much caught most the move from the most recent lows. Sold on upper resistance, will enter again when/if lower if fundamental picture remains. ADDED names associated with power: LEU and RIOT. Really stoked about RIOT. Also took a small position in NOW.

As always, I'm not wedded to any of these, Fluffy Pineapple seeks asymmetric trades and sells upon saturation...unless the inevitable future has expanded.

Let FP know which position you want more analysis on.

Disclaimer: This is not financial or investment advice. I eat paint chips. Do your own due diligence.

$LEU provides the fuel AI datacenters are going to need. Existing electrical grids increasingly can’t scale fast enough to meet that demand. That’s pushing the industry toward alternative power solutions, and small modular reactors (SMRs) are starting to look like one of the only scalable long-term answers. The catch is that many next-generation SMRs require HALEU fuel, and there are very few Western companies capable of supplying it at scale — which is where LEU comes in. When nuclear becomes part of the AI infrastructure buildout, LEU sits inside a strategically scarce fuel bottleneck with geopolitical, regulatory, and supply-chain barriers that are extremely difficult to replicate. This is not financial or investment advice. I eat paint chips. Do your own due diligence.

AOSL still looks like an old cyclical power semi company on the surface, but the revenue mix is quietly shifting underneath. Advanced Computing revenue tied to AI servers, GPU platforms, and datacenter infrastructure more than doubled sequentially and grew 40%+ YoY last quarter, already reaching ~25% of the Computing segment while legacy PCs stayed weak. More importantly, management explicitly said demand is increasingly centered around medium-voltage solutions for AI infrastructure, hyperscalers, intermediate bus converters, and future 800V datacenter architectures — meaning the company is moving from commodity MOSFET exposure toward higher-value AI power delivery infrastructure.

The market still largely values AOSL like a low-margin cyclical semi name, but if AI/datacenter mix keeps scaling and margins begin rerating alongside Power IC adoption, I think a moderate outcome could support a ~$8B–15B market cap over the next few years (currently $1.2B). This is not financial or investment advice, for entertainment purposes only. Due your own due diligence. I eat paint chips.

The market still thinks $FLNC is a battery company when the real story may be AI-era power orchestration infrastructure. AI datacenters are increasingly bottlenecked not by GPUs, but by speed-to-power, grid instability, and flexible electricity deployment, which is exactly where Fluence sits. Siemens is now integrating Fluence directly into next-generation AI datacenter infrastructure solutions, validating that storage and grid orchestration are becoming core AI deployment bottlenecks, not just clean-energy themes. The company already has a staggering ~$5.6B backlog against a market cap that still doesn’t reflect what happens if storage becomes mandatory infrastructure for hyperscaler AI expansion. Not financial advice, I’m often wrong, do your own research.

$HITI is not just a Canadian cannabis retailer — the market is massively underestimating the strategic optionality of Remexian and German medical distribution at the exact moment Europe is becoming one of the largest federally legal cannabis markets in the world. Meanwhile the core Canadian business is already producing over $630M in trailing revenue and positive FCF, meaning investors are effectively getting the European medical platform and potential future U.S. medical optionality through NuLeaf almost for free; if the market starts valuing HITI more like an international medical cannabis infrastructure platform instead of a Canadian dispensary chain, I think a multi-bagger rerating becomes very realistic.

Disclaimer: I own the stock. I eat paint chips. This is not financial advice, for entertainment purposes only. Do your due diligence.

$AMBA is an edge AI and physical-world AI platform. Revenue just grew 58% YoY, edge AI is now >75% of revenue, and the company is already shipping tens of millions of AI vision processors into automotive, robotics, security, drones, and industrial systems.

The real thesis is that AI eventually leaves the datacenter and moves into the physical world. Every autonomous camera, robot, industrial sensor, drone, and edge inference endpoint needs low-power AI vision processing, and Ambarella is quietly becoming one of the core silicon layers enabling that transition. The market still frames this as a cyclical semiconductor company while the business is increasingly positioning itself as physical-world AI infrastructure.

If the thesis only moderately works, I think this can still be a multi-bagger from here. At a ~$3.3B market cap, if AMBA becomes viewed less like a niche vision-chip company and more like a foundational edge AI platform with $1B+ revenue potential and durable 60% gross margins, the upside could realistically be 3x–5x over time without requiring dominance of the entire market. Disclaimer: I own AMBA. I eat paint chips. This is not financial advice, for entertainment purposes only. Do your due diligence.

These are all stocks I think can 2x-5x in the next 1-3 years. I hold positions in all of them. I also eat paint chips and like the smell of exhaust. For entertainment purposes only. Do your own DD.

Ticker	Percentage
ALAB	14
CRDO	12
HITI	12
IOT	10
AAOI	8
DOCN	8
ONTO	7
MTSI	6
RDDT	5
TEM	5
AMBA	4
FLNC	3
CLOV	3
RKLB	2

$CRDO is rapidly becoming the data movement layer inside AI infrastructure itself. Revenue went from $61M to $407M in two years while still printing ~69% gross margins and absurd FCF generation. That combination almost never exists.

The market still thinks this is an AI networking beneficiary. I think it’s becoming a power-efficient bottleneck for east-west AI traffic as clusters scale toward 1.6T and rack-level architectures explode in complexity.

If compute keeps scaling faster than power availability, efficient connectivity stops being optional. It becomes mandatory. That’s where the real asymmetry is. Disclaimer: I own $CRDO. I eat paint chips. This is not financial advice, for entertainment purposes only, do your own due diligence.

Astera Labs, Inc. (ALAB) isn’t really an “AI chip” company, it’s a data movement and orchestration bottleneck play. The market understands GPUs are important, but I don’t think it fully appreciates how insane the interconnect, memory coordination, rack-scale bandwidth, and infrastructure complexity problems become as AI scales into inference, agents, and persistent workloads. ALAB sits directly in the path of that buildout and could become a deeply embedded control layer inside next-generation AI infrastructure before the market fully prices how strategically important that role may become. The stock has rerated hard already, but if AI infrastructure continues evolving beyond the current training phase, there’s a real chance the market still doesn’t understand how large and durable the opportunity actually is. Disclaimer: I own ALAB. This is not investment advice. Edcuational purposes only. Do you own DD.