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Friday, October 16, 2026· 7211 stock ideas· 217 writers·
16,751 views· 7,752 clicks

Is The Market Turning The Page?

CoreWeave’s debt and equity price action is framed as a wake-up call for investors amid a broader market discussion.

CRWV $43B
WHAT ARE WE DOING? “Contrarians At The Gate” 33 clicks

From X

@convequity

Convequity on X

Huawei's finer bonding deserves more weight in the AI-chip race. $AVGO's 3.5D approach combines vertically stacked dies with the side-by-side packaging used to connect processors and HBM. It adds another direction in which designers can shorten the wires moving data around a chip. Besi describes Broadcom's initial face-to-face hybrid bonding at 6µm pitch. Huawei reports 1.5µm for its 2026 Kirin implementation. Pitch is the spacing between connections; face-to-face brings the dies' wiring surfaces together. On an identical square grid, that spacing difference allows 16x as many potential bond sites per unit area. Usable connections still depend on routing and the space reserved for power and repair. It is an architectural opportunity, not a bandwidth multiple. The size qualification matters. Kurnal's Kirin 9050 die shots measure roughly 121mm² per die. Extending fine-pitch bonding to much larger AI dies changes the economics: more expensive silicon is at risk when a stack fails, and heat and power delivery have to work across the whole assembly. Broadcom also said face-to-face compute SoC shipments began in February 2026. A later roadmap cannot be read as its first arrival at face-to-face bonding. Huawei looks ahead on this published pitch comparison. Our view is that this gives it a credible route to narrowing parts of the AI-chip gap through packaging. The stronger claim needs production evidence at large accelerator scale. The phone result alone does not establish when that arrives. Builds on Convequity's Huawei After Sanctions, Parts 1–2, 10 & 18 Sep 2026, with updated source checks.
@aleabitoreddit 2 clicks

Serenity on X

$CCXI looks like it's going public Q4 2026. And my hope is that it sort of looks like $OKLO if they generate enough excitement. Watched the investor presentation the other day, just waiting for the public listing anytime soon (I personally added some the other day). Big fan of humanoids, pretty confident physical AI shift is coming next. I'm personally not looking too much about the price action while it's in its filing phase, fun usually begins after ticker change. We'll see what happens
@convequity

Convequity on X

$NTSK began as a CASB vendor, governing how employees use SaaS applications at the point of use. Years of that work gave it application-specific knowledge of user behavior, data movement, and risk inside cloud apps. That knowledge carries over to AI. Netskope inspects prompts, responses, and file transfers inline and in real time, and it can respond with something more precise than a block: preventing a risky copy-and-paste, stepping up authentication for a sensitive interaction, or coaching the user as they work. The part that matters more comes after the prompt. AI adds autonomy and chaining, so a single human interaction can trigger many machine-executed actions across tools, data stores, and services, often outside one user session. If data is over-permissioned and tools are loosely scoped, an agent can stay inside its allowed permissions and still cause harm faster than a person can intervene. The context Netskope gathers at the interaction can be carried forward to constrain that downstream execution: who the user is, what data is involved, which action was taken, and how risky it looks. So Netskope's edge is that it already knows the user, the data and the action at the moment of the prompt, and it can use that context to limit what an agent does next. It is now building the agent side directly. Its Agentic Broker rates agent actions by risk before they run, and its AI posture management for agents built on AWS, Azure and GCP is still in preview. That is the part to watch.

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