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225x returns in 2 years? Unpacking Serenity’s mysterious AI 'choke point' investment strategy

Author: BruceBlue,PreviousBing Ventures GP

How did the mysterious researcher Serenity achieve a 225x+ return in just two years?

Identify the irreplaceable physical switches of the AI era using Supply Chain Bottleneck Theory (Checkpoint Theory).

Use bottom-up supply chain reverse engineering thinking to pinpoint choke points.

Before forming any investment thesis, he engages in rigorous debates with various AI models to uncover potential flaws and limitations—akin to a top-tier investment investment committee (IC) meeting.

Over the past few months, if you’ve been following the secondary market for AI infrastructure, it’s been hard to avoid one name: Serenity @aleabitoreddit

OneFormer trader permanently banned from Reddit WallStreetBets (WSB), he switched platforms and adopted an anime-style female avatar, amassing over 300,000 followers in less than a year. A single tweet from him can send a FTSE 250 constituent stock soaring nearly 90% within two days; his research has been cited by Bloomberg and Reuters, and hedge funds have even begun copytrading his positions.

Markets are stunned by his staggering 22,561.99% return over the past two years—or skeptical of his unverifiable background claims: 'former AI research scientist,' 'author of a Nature paper,' 'member of the RISC-V Foundation,' and even assertions that he turned down an offer in 2018 to lead NVIDIA’s AI team when its stock was trading around $6.

Serenity’s AI Holdings List

But what truly matters isn’t his eye-popping numbers or whether he actually published a paper in Nature.

What truly matters is this: he has provided a reverse-engineered observational framework for the AI era and executed aggressive information arbitrage within Wall Street’s institutional blind spots.

At the core of this framework is what he calls Chokepoint Theory (Supply Chain Bottleneck Theory).

First, some context. His story began in early 2022 on Reddit’s famed retail investor forum r/wallstreetbets (WSB).

His account at the time was named AleaBito, clearly embodying the WSB retail trader ethos—enthusiastic about high-leverage, high-risk, and highly entertaining options and IPO trades. During eToro’s ($ETOR) IPO, he placed a $175,000 one-sided YOLO options bet based on a technical chart pattern jokingly likened to 'toro' (bluefin tuna belly). In his trade on Hims & Hers Health ($HIMS), he allocated a $100,000 position based on what he called the 'Gym Bro Formation.' Additionally, when Super Micro Computer ($SMCI) was at a low point, he accurately forecast its price would break above $120 based on the advancement of liquid cooling technology.

┌────────────────────────────────────────────────────────────────────────┐

│ @aleabitoreddit / Serenity’s Evolution Path

├────────────────────────────────────────────────────────────────────────┤

│ Reddit Era (pre-2022): AleaBito

│ Style: Combines hardcore financial analysis with the highly entertaining 'WSB retail trader' narrative, favoring high-risk 'YOLO' trades

│ Track Record: $ETOR (Bluefin Tuna Belly), $HIMS (Gym Bro), $SMCI (Anticipated breakout from trough above $120)

│

│ X Platform Era (2022–present): Serenity

│ Style: Focuses on bottom-up supply chain reverse engineering of AI data center hardware, silicon photonics, and advanced packaging

│ Track Record: $RPI, $SIVE, Soitec, $VLN, $NBIS

└────────────────────────────────────────────────────────────────────────┘

The turning point occurred in early 2022. He published a deep fundamental research report on American Crystal Technologies ($AXTI), a compound semiconductor substrate manufacturer, on WSB. At the time, $AXTI had a market cap of just $200 million and traded around $12 per share. Due to the report’s professional rigor—which clashed sharply with the forum’s speculative atmosphere—moderators permanently banned his account, accusing him of 'deliberate market manipulation' and 'pump-and-dump.'

Subsequently, driven by surging demand for compound semiconductors and optoelectronic substrates, $AXTI soared to $70, delivering over 1,000% unrealized gains and cementing this trade as the defining moment of his investing career. This ban directly prompted his migration to the X platform, where—after rebranding as 'Serenity'—he fully pivoted his investment focus to bottleneck segments within semiconductor core hardware and precision supply chains.

Most Wall Street sell-side institutions analyze AI from a top-down perspective. They fixate on NVIDIA, Microsoft, and Google, modeling trillion-dollar Capex guidance and fiercely competing through mathematical models centered on next quarter’s revenue.

Serenity’s perspective is bottom-up. He employs a supply chain reverse-engineering model.

He takes NVIDIA’s H100, B200, and other GPU supercomputing clusters as the physical origin point, deconstructing layer by layer downward until he identifies ultra-micro components or raw materials that are physically irreplaceable and monopolized by a single or very few companies. These highly specialized segments operate quietly outside the spotlight of trillion-dollar market caps, yet any disruption in their supply would cause a physical paralysis across the entire downstream AI industrial ecosystem.

He refers to these nodes as 'choke points,' comparing them to the Strait of Hormuz—controlling global oil passages—or the indispensable but overlooked shiso leaves in high-end kaiseki cuisine at Ginza.

Integration of Physical and Geographic Coordinate Mapping

Serenity has constructed a precise global semiconductor 'choke point' map that integrates physical infrastructure with geopolitical risk. This map spans U.S., **, European, and Japanese equities, and multidimensionally incorporates the geographic coordinates of production facilities for each niche industry leader, their technological patent barriers, geopolitical risks, and export control policies of various countries. When new geopolitical conflicts, export bans, or earnings reports emerge, he can rapidly pinpoint specific physical nodes on the supply chain map and execute high-conviction directional trades using his highly concentrated equity positions.

Adversarial AI Argument Testing

Before publishing any investment thesis, Serenity runs a unique 'red team vs. blue team' adversarial argument process. He inputs draft research into multiple large language models and instructs the AI to act as an extremely critical 'devil’s advocate,' specifically tasked with identifying flaws in his investment logic, physical or technical constraints, threats from alternative solutions, and potential valuation biases. Only after passing multiple rounds of rigorous AI-driven technical and logical scrutiny does he publicly release his report.

Within Serenity’s supply chain map, the physical evolution of data center AI computing infrastructure represents his core investment theme.

As the parameter count of large language models grows exponentially, interconnecting GPU clusters of tens of thousands, hundreds of thousands, or even millions of cards has become a physical bottleneck for scaling compute power. At extremely high data throughput rates, traditional copper-based interconnects are hitting insurmountable physical limits: high-frequency electrical signals suffer severe attenuation over copper media, generate uncontrollable electromagnetic interference, and incur substantial power consumption and thermal management burdens.

To break through this 'copper wall,' the transition from electrical to optical signals—enabling high-bandwidth, low-latency transmission known as 'optical replacing copper'—has become an essential path in AI infrastructure development. At the forefront of this physical-layer transformation is the Co-Packaged Optics (CPO) architecture, led by industry giants such as Taiwan Semiconductor and NVIDIA.

The core idea of CPO is to directly integrate photonic-electronic conversion chips with core compute chips onto the same multi-chip package substrate, reducing the electrical signal transmission distance within the package to the millimeter scale. This revolutionary architecture faces five critical physical bottlenecks identified by Serenity as key 'choke points':

Serenity's reverse engineering roadmap for CPO (Co-Packaged Optics):

NVIDIA H100/B200 clusters (demand for interconnecting tens of thousands of GPUs)

│

▼

Optical replacing copper (overcoming the physical limits of copper cables: signal attenuation, power consumption, and heat dissipation)

│

▼

│ Five physical bottlenecks in silicon photonics and CPO (choke-point components)

│

│ 1. High-precision physical alignment: Fiber Array Units (FAUs) and micro-lenses

│ → $FOCI (Broadex Technologies, Taiwan): holds an indispensable choke-point position in physical layer technology

│

│ 2. External Light Source (ELS) and high-power Continuous Wave (CW) DFB lasers

│ → $SIVE (Sivers, Sweden): possesses extremely scarce physical assets critical for 1.6T LRO/CPO

│

│ 3. Molecular Beam Epitaxy (MBE) equipment barrier

│ → $ALRIB (Riber, France): Global monopolist, holding epitaxial manufacturers by the 'capacity throat'

│

│ 4. High-purity red phosphorus raw material (purity must reach 6N–7N, i.e., above 99.9999%)

│ → NCI (Nippon Chemical Industry, Japan): Monopolized by a very limited number of specialty chemical giants

│

│ 5. Base wafer: Silicon-on-Insulator (SOI) substrate material

│ → Soitec (France): Holder of Smart-Cut patents and absolute global monopolist in both technology and production capacity

High-precision physical alignment barrier

Since the optical waveguides inside silicon photonic chips are typically sub-micron in scale, nanometer-level physical alignment is required between externally introduced optical fibers and these waveguides. Any minor displacement causes severe 'optical coupling loss.' Serenity was the first in the English-speaking world to systematically anchor FOCI (3363.TW), a company closely watched by Taiwan’s retail investors, to the global evolution of CPO technology.

External Light Source (ELS) and high-power continuous-wave DFB laser barrier

Silicon, as an indirect bandgap semiconductor, cannot emit light efficiently under electrical injection. CPO architectures must rely on a separate external light source to provide high-power continuous-wave laser output. This laser must maintain single longitudinal mode operation under the high-temperature, high-pressure conditions typical of data centers—a requirement demanding extremely advanced manufacturing processes. Sivers Semiconductors ($SIVE), listed in Stockholm, Sweden, has become an exceptionally scarce physical asset in the CPO external light source supply chain due to its possession of relevant technologies.

Molecular Beam Epitaxy (MBE) Equipment Barrier

In the growth of compound semiconductor epitaxial wafers—such as those used in high-power lasers—the most critical physical process is Molecular Beam Epitaxy (MBE), which enables the growth of ultra-thin crystalline films with atomic-level precision. Serenity has secured exclusive access to the world’s dominant MBE equipment supplier: Riber, a publicly listed French company (ALRIB).

High-Purity Red Phosphorus Raw Material Barrier

The production of compound semiconductors—such as indium phosphide substrates—requires raw materials of extreme purity. Serenity has traced its reverse engineering all the way down to the elemental level: high-purity red phosphorus (with purity exceeding 99.9999%). Production capacity is almost entirely monopolized by a handful of Japanese giants, including Nippon Chemical Industrial Co., Ltd. (NCI). Any disruption in supply would bring downstream manufacturing to a complete halt.

Silicon-on-Insulator (SOI) Substrate Material Barrier

The foundational wafers for silicon photonics chips require SOI wafers. France-based Soitec holds an absolute global monopoly in both technology and production capacity for silicon photonics SOI wafers, thanks to its proprietary Smart-Cut technology—even Japan’s Shin-Etsu Chemical must pay it patent licensing fees.

By 2026, Serenity will further expand his 'chokepoint' map horizontally into the geopolitical contest over humanoid robots and rare earth elements.

Supply Chain Fracture Between the Software 'Brain' and Hardware 'Body'

Market discussions about Tesla’s Optimus have largely focused on AI algorithms and large models, overlooking a critical physical reality: the United States is losing the race in manufacturing the hardware and materials for humanoid robots.

The 'brain' of humanoid robots remains in the United States, but the 'body' components responsible for movement—such as joints, actuators, and reducers—are almost entirely controlled by Asian manufacturers:

Harmonic drives: Leader Harmonic (China), Harmonic Drive (Japan)

RV reducers: Nabtesco (Japan), SHS Transmission (China)

Linear actuators: Sanhua (China)

Servo systems and ball screws: Inovance Technology (China)

To reduce costs, U.S. robotics companies have already signed long-term contracts with these Chinese and Japanese component giants. This heavy reliance means that any geopolitical friction could cause a physical disruption in the hardware supply chain.

Rare earth 'demand tsunami' and the Morgan Stanley model

Serenity uses Morgan Stanley's demand forecasting model for quantitative analysis: if the global installed base of humanoid robots reaches 1 billion units by 2050, their consumption of critical rare earth resources would trigger a catastrophic 'demand tsunami':

Neodymium (Nd): cumulative consumption of approximately 400,000 tons (15% of global known reserves)

Dysprosium (Dy): cumulative consumption of approximately 80,000 tons (25% of global known reserves)

Terbium (Tb): Approximately 16,000 tonnes consumed cumulatively (30% of global known reserves)

These are physical necessities required to prevent demagnetization of permanent magnet motors at high temperatures. Serenity emphasizes that Western capital must channel billions of dollars into heavily rebuilding domestic rare earth refining ecosystems to secure supply chains.

Based on this, he identified three key physical sectors that require close monitoring:

Magnetic metals: Light rare earths (neodymium, praseodymium), heavy rare earths (dysprosium, terbium), and specialty magnets (samarium, cobalt).

Structural metallurgy: Precision gear materials (titanium, vanadium, molybdenum), high-strength steel additives (niobium, chromium, nickel, manganese), and wear-resistant elements (cerium, lanthanum).

Computing, sensing, and power systems: Advanced semiconductors (gallium, germanium), batteries and wiring (each unit consumes 2 kg of lithium, 3 kg of graphite, and 6.5 kg of copper).

By keenly identifying technological barriers and commercial inflection points, Serenity has successfully uncovered and led multiple classic value re-ratings of small- and mid-cap tech stocks across global capital markets.

│ Serenity Core Investment Holdings and Empirical Performance Verification

│ $RPI (Raspberry Pi) | LSE, UK

│ Positioning: Physical infrastructure base for AI agent swarm control

│ Entry point: Share price below 280 pence (IPO offering price)

│ Validation: Strong profit growth reported in the annual results released in March 2026, with chip sales surging 47%, confirming its logic as an AI infrastructure play

│ Performance: Stock jumped nearly 40% on the day of earnings release, rebounding over 60% from its low

│

│ $SIVE (Sivers) | Stockholm, Sweden

│ Positioning: Core supplier of high-power external light sources for silicon photonics CPO and DFB lasers

│ Entry point: Market cap was only $130 million at time of recommendation

│ Validation: Secured strategic partnership with Jabil and received $6.6 million in support under the U.S. CHIPS Act

│ Performance: Market cap soared nearly 19-fold within one year of recommendation (now exceeding $2.3 billion)

│

│ Soitec | Euronext Paris, France

│ Positioning: Global absolute monopolist in patents and production capacity for SOI, the critical substrate material for silicon photonics

│ Entry Point: Share price is in the bottom range at €43

│ Validation: Designated as a Tier-1 exclusive material standard by Taiwan Semiconductor and NVIDIA

│ Performance: Share price surged instantly by 16% in European markets on the day the thesis was published

│

│ $VLN (Valens) | NYSE US

│ Positioning: Automotive A-PHY high-speed connectivity chip

│ Entry Point: Market cap at a bottom of $253 million (at time of recommendation: $93.5 million in cash on balance sheet, zero debt, with gross margin guidance of approximately 60–62%)

│ Validation: Identified mispricing caused by a scanner error due to ticker symbol collision

│ Performance: Triggered a market-wide revaluation of the asset through highlighting the 'ticker collision' bug

│

│ $NBIS (Nebius Group) | NASDAQ US

│ Positioning: Europe's largest AI GPU/Rubin computing cluster cloud service provider

│ Entry point: Near the $95 support zone following a pullback

│ Validation: Holds $3.7 billion in net cash (as of end-2025), with unexecuted contract backlog approaching $50 billion

│ Performance: Back on a high-growth trajectory; analyst target price raised to $158–$211

In-depth Analysis: Three Dimensions of Cognitive Arbitrage

Raspberry Pi $RPI : Relative Value Game Theory Model

While the market viewed Raspberry Pi as a declining educational component manufacturer, Serenity identified a seismic shift in the AI developer ecosystem: a surge of startups purchasing Raspberry Pis as physically isolated hardware bases for deploying 'AI agent swarm control systems.' Such stockpiling would be negligible within Apple’s $3.7 trillion market cap—but for Raspberry Pi, with a mere £500 million market cap, this represents a transformative tailwind.

Valens Semiconductor $VLN : Arbitrage from information asymmetry caused by ticker symbol collision in quantitative models

$VLN holds $93.5 million in net cash on its balance sheet, zero debt, and has guided for a gross margin of approximately 60–62%. It has secured a front-loaded win with Mercedes-Benz, yet its market cap remains only $253 million. Serenity identified a physical bug: mainstream global quantitative stock screeners suffer from a 'ticker symbol collision error,' mistakenly conflating $VLN’s data with that of Toronto-listed energy stock $VLO, severely distorting key metrics. He precisely quantified these discrepancies, guiding capital toward a 'mine-clearing' style revaluation.

Nebius Group $NBIS : Bottom-fishing amid mechanical panic

As Europe’s leading AI-dedicated cloud service provider, $NBIS saw its share price plummet to $95 due to algorithmic selling pressure triggered by mechanical hedging arbitrage tied to early complex convertible bonds. Serenity labeled this a 'mechanical panic unrelated to fundamentals.' At the $95 level, the market assigned an absurdly steep discount to a company projecting $3.0–3.4 billion in revenue by 2026 (nearly 6x growth) and holding several billion dollars in net cash.

Expert retail investor coordination network

In Serenity’s framework, retail investors are no longer viewed as mere liquidity providers or blindly following 'bagholders,' but are instead reimagined as an 'expert retail investor coordination network.' Traditional WallStreetBets (WSB) relies on short-term options gamma squeezes or emotionally driven meme narratives to fuel rallies. In contrast, Serenity employs completely free, technically demanding, hardcore analysis that acts as a rigorous 'intellectual filter' for his followers.

This highly specialized form of capital coordination enables them to rapidly coalesce and assert pricing dominance over core assets in numerous extremely illiquid, obscure micro-cap markets globally—markets that major Wall Street institutions cannot cover.

Arbitrage through regulatory blind spots and information asymmetry

Analysts at large institutions are constrained by internal compliance rules, minimum market capitalization thresholds (e.g., they don’t cover companies below $1 billion), and regional specialization (U.S. equity analysts don’t write research on Swedish or ** companies). This has created massive research voids across the global supply chain. Serenity, operating as a fully anonymous independent researcher, ignores market-cap and geographic barriers and directly steers global long-only capital to aggressively fill these gaps.

Structural risks and potential game-theoretic dilemmas

However, blindly following this strategy carries unavoidable, potentially fatal risks:

Liquidity traps and stampede risk: Micro-cap stocks have extremely low average daily trading volumes. When retail investors rush in simultaneously, volumes spike instantly; but if technological execution falls short of expectations, the extremely narrow exit channels can trigger violent sell-offs.

Polarized public sentiment and accusations of market manipulation: Veteran short sellers sharply criticize the approach as essentially a 'pump-and-dump scheme wrapped in high-IQ academic packaging.' Its reliance on massive media attention to lure retail investors into propping up prices exposes it to persistent regulatory scrutiny and allegations of impropriety.

Fatal overreliance on a single physical-technology pathway: Serenity’s entire core position rests on two assumptions—that 'CPO is the only viable physical evolution path' and that 'humanoid robots will see a billion-unit explosion.' This is an all-in bet. If NVIDIA discovers insurmountable engineering roadblocks in CPO and pivots to advanced thin-film copper cables, or if the West fails to rebuild its rare-earth separation supply chain, his entire empire—built on silicon photonics, SOI, MBE equipment, and heavy rare earths—could collapse at the physical layer almost overnight.

Following Serenity isn’t about chasing a get-rich-quick code—it’s about acquiring an analytical framework capable of breaking consensus thinking.

In this age of information overload, the most common mistake retail investors make is trying to compete with institutions on speed of information access or trading macro data that’s already fully priced in. Serenity demonstrates an alternative path: reverse-engineering complex systems, using AI as a 'devil’s advocate' to stress-test one’s own logic, and hunting for those silent, critical gears that truly drive system dynamics.

You don’t need to become the next Serenity. You don’t need to buy any of the stocks he buys.

But you should learn to ask the same question he does:

In this system, who is the silent, irreplaceable physical switch?

If you can answer that question, you already have a layer of insight beyond 99% of market participants. The rest is just waiting for the market to catch up to your understanding.

Disclaimer:

This article does not constitute any investment advice.

All background information about Serenity himself is self-reported and has not been verified by any third party.

His past performance is not indicative of future results.

Please conduct independent research before making any investment decisions.

NFA. DYOR.

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