Tracks public analysis and inferred viewpoints, not verified holdings or trades.

Active bullish views (10) ← click a row for full thesis history
Ticker Conviction (1-10) Thesis Action Last seen # views
SIVE 8/10 SIVE is critically important to multiple frontier industries including Space, Robotics, AI, and consumer segments due to its wide supply chain integration. 2026-05-25 57
SOI 8/10 Controls silicon photonics for AI buildout, key to benefiting from significant AI capex. 2026-05-25 10
IQE 8/10 Controls Western epiwafer supply chains for photonics, set to benefit from AI capex growth. 2026-05-25 3
NBIS 8/10 AI capex is expected to flow to Neoclouds like NBIS as part of the AI infrastructure buildout. 2026-05-25 8
SNDK 8/10 Anticipated to benefit from substantial AI capex flowing into memory solutions. 2026-05-25 1
MU 8/10 Anticipated to benefit from substantial AI capex flowing into memory solutions. 2026-05-25 3
AXTI 7/10 AXTI controls critical upstream materials and ~40% of the InP supply chain, giving it significant pricing power. 2026-05-25 18
AAOI 6/10 AAOI's 800G/1.6T optical transceiver scale, US production, and tax credits are strong, though $600M dilution hurts near-term. 2026-05-25 13
LPK LPK has performed favorably. 2026-05-25 3
ALRIB ALRIB has performed well, gaining approximately 188% since the KOL initiated a long position. 2026-05-25 3
Active bearish views (6) ← click a row for full thesis history
Ticker Conviction (1-10) Thesis Action Last seen # views
FUTU 7/10 The Chinese government is targeting historical revenues, with no fair legal recourse for appeal, making its situation precarious. 2026-05-25 5
TIGR 7/10 The Chinese government is targeting historical revenues, with no fair legal recourse for appeal, making its situation precarious. 2026-05-25 5
HIMX 6/10 Faces long-term "design-out" risk due to potential vertical integration by giants like TSMC's Visera, despite short-term CPO opportunities.Original 2026-05-25 5
BABA 5/10 KOL advises avoiding Chinese exposure due to regulatory and governmental risks, as exemplified by recent actions against brokerages. 2026-05-25 5
PDD 5/10 KOL advises avoiding Chinese exposure due to regulatory and governmental risks, as exemplified by recent actions against brokerages. 2026-05-25 5
XLU XLU faces headwinds as rate cut expectations, a key tailwind for utilities, have vanished due to geopolitical shifts. Reiterated 2026-05-25 5
Reduced / Neutral views (21) ← click a row for full thesis history
Ticker Conviction (1-10) Thesis Action Last seen # views
RDDT Named in a rhetorical comparison regarding investor intelligence. 2026-05-25 1
IREN Named in a rhetorical comparison regarding investor intelligence. 2026-05-25 1
GOOGL Mentioned as an example of a Western company that could absorb a very large fine, unlike Chinese brokerages. 2026-05-25 5
META Mentioned as an example of a company that might appear cheap but carries underlying risks. 2026-05-25 5
RKLB KOL expects the company to still exist by 2029, suggesting a long-term holding strategy for existing positions. 2026-05-25 4
INTC Mentioned as an indirect exposure for robotics through edge CPUs. 2026-05-25 8
FOCI FOCI's focused model for TSM/NVDA supplies optical components and FAU, driving re-rating but likely limiting its path to a $50B+ valuation. 2026-05-25 3
YSS Named as a downstream customer of Sivers in Golden Dome supply chains. 2026-05-25 4
ERIC Noted as a beneficiary of the US and Sweden technology Memorandum of Understanding (MOU). 2026-05-25 4
COHR Cited as an example of a company that Sivers could emulate for future vertical integration. 2026-05-25 4
TSM Named as a downstream customer that uses optical components and FAUs from FOCI. 2026-05-25 5
LITE LITE's single high-power laser has a distinct architecture from a multi-channel array, making direct comparisons based on LLMs misguided. 2026-05-25 15
GFS GFS is cited as a key foundry partner for scaling IP development without significant capital expenditure or increased headcount. 2026-05-25 1
POET Mentioned as a company with a more concentrated customer base, in contrast to SIVE's broad market presence. 2026-05-25 7
JBL Named as a downstream customer of SIVE for CPO/1.6T applications. 2026-05-25 12
AAPL Named as a downstream customer of SIVE in various frontier industries. 2026-05-25 5
NOK Named as a downstream customer of SIVE, supplying critical components. 2026-05-25 5
RTX Named as a US defense contractor and a downstream customer of SIVE. 2026-05-25 5
AEVA Named as a downstream customer of SIVE, providing components for self-driving architectural standards. 2026-05-25 2
NVDA Named as a customer influenced by components supplied through AEVA from SIVE for self-driving architectures. 2026-05-25 7
MRVL Named as a downstream supplier to hyperscalers, potentially receiving components from the SIVE supply chain. 2026-05-25 7
Recent posts
· reply Open original →
When I do my supply chain mapping... $SIVE is just so critically important to so many frontier industries. I'm not sure people are fully aware yet. $SIVE -> $AAPL, $NOK, $RTX (us defense contractrs), $YSS (golden dome). Not including Ericcson + others. Then you have $SIVE -> $AEVA -> Boston Dyn…
YSS · mention SIVE · bull 8/10 AAPL · mention NOK · mention RTX · mention AEVA · mention NVDA · mention POET · mention JBL · mention MRVL · mention
· reply Open original →
@Jimmy4466597097 ~1/4th of their entire company are PHDs. Sivers is primarily doing novel IP development. Then using $GFS / Win to scale without capex + or needing headcount. You would need a lot of more headcount for stuff like assembly (without doctorates).
SIVBF · bull GFS · mention
· quote Open original →
Fun fact: Lot of the same companies are often used across different supply chains. One likely example is: $SIVE as the upstream laser supplier to Boston Dynamics via: Sivers -> $AEVA FMCW (CW DFB lasers) -> LG Innotek -> Boston Dynamics. I actually personally liked Aeva for 4D AI first. Just s…
VPG · mention SIVE · bull 6/10 AEVA · mention NVDA · mention MU · mention INTC · mention
· reply Open original →
$SIVE (laser), Foci (fau/optical components), Shunsin (packaging/test), MSSCorp (yields) are personally my favorites right now for CPO related stuff. Since they all basically go from 0 to 100 full steam ahead in the next 2 years.
SIVE · bull 8/10
· reply Open original →
@Fletche33881557 Nope, $NVDA said $3-4T annual spend. Not value. https://t.co/sKg5gA2RZO
NVDA · mention
· reply Open original →
You're comparing Sumitomo finished InP substrates vs AXT. $AXTI owns many many material chokepoints upstream required to make the finished substrates. And they're roughly ~40% of the entire InP supply chain like indium/gallium/precursors to pBN crucibles + processing. It's a materials problem, t…
AXTI · bull 7/10
Open original →
AI capex spend is expected to go to "$3 to $4 trillion annually" by 2030 from $NVDA Jensen Huang projections. You're not bullish enough. And it might be a good idea to stay exposed + own the keys of the AI Kingdom: -> $AXTI controls the materials buildout with photonics. -> $SOI controls the AI…
NVDA · mention AXTI · bull 8/10 SOI · bull 8/10 SIVE · bull 8/10 IQE · bull 8/10 NBIS · bull 8/10 MU · bull 8/10 SNDK · bull 8/10
Open original →
All right chat, crowdsourcing your #1 highest conviction (10x only) stock long for the Power Semi trade. Especially given $NVDA pushing shift to 800 VDC. Stuff like $NVTS or $WOLF, but high-beta, 10x potential only. Anywhere around the world. What's your pick? https://t.co/Y10KR6HLVC
NVDA · mention