About Serenity

@aleabitoreddit · X / Twitter

Who is Serenity?

Serenity is an independent retail investor and former research scientist (UC Berkeley, RISC-V architecture patents, published fundamental AI papers in Nature with thousands of citations). They share investment thesis posts for free on X to help retail investors access institutional-quality supply chain analysis.

Their core methodology: find structural chokepoints in AI supply chains before institutions do, build high-conviction positions, then let markets validate the thesis over 6-24 months. The playbook has produced 16+ triple-digit return positions YTD as of May 2026, with a stated YTD performance of 1,525%+.

Subscriptions are $1/month — symbolically, to validate that the ideas are worth something, not as income. All alpha is shared publicly for free.

Methodology

Supply Chain Mapping

OSINT-based mapping of hyperscaler supply chains from public filings, conference presentations, partner pages, and investor decks. Finding undisclosed upstream relationships before they become news.

Chokepoint Identification

Identifying functional monopolies or duopolies in critical semiconductor supply chain layers (substrates, lasers, foundry, packaging, inspection). These command pricing power and are unavoidable capex sinks.

Qualification Cycle Analysis

Understanding that companies in qualification stages should not be valued on TTM revenue. Volume ramp indicators from earnings calls, partner announcements, and customer order signals are more predictive.

Frontrunning Institutions

Identifying names before institutional fund mandates allow entry (sub-$1B MC, foreign listing). As companies cross thresholds and get discovered, institutional accumulation follows.

Cycle Stage Timing

Entry around qualification-to-volume-ramp inflection points. Exits or position reduction when the thesis is fully priced in or thesis-breaking news emerges.

Track Record Highlights

$AXTICalled at ~$12 → $82+ (600%+). 'My most legendary thesis.'
$SOICalled at ~$40 → +200%+. Morgan Stanley bought 6.5% of float after thesis.
$SIVECalled sub-$1B MC → up 600%+. '10× from here still possible.'
$AAOICalled at ~$30 → $150+.
$IQECalled at ~$100M MC → up 260%+. Point72 bought float after thesis.
$AEHRCalled at lows → tripled.
$TSEM100%+ YTD, 16th triple-digit return.
$EWYLong on Korean memory index → ~3× on 2028 LEAPS.

About This Terminal

This terminal was built from 3,115 tweets posted by Serenity between March–May 2026. It organizes all structured investment thinking into a searchable, navigable research database: thesis cards, supply chain graphs, sector supercycle tracking, and a recommended vs. rejected watchlist.

3,115
Total Signals
49
High Signal (>50K views)
3
Legendary Picks
Disclaimer

This terminal is for informational and educational purposes only. Nothing here constitutes financial advice. All positions, thesis posts, and price targets are those of Serenity (@aleabitoreddit) and not investment recommendations. Do your own due diligence. Past performance does not guarantee future results.