Independent research · AI infrastructure & silicon

Where public data stops, the thesis starts.

Operator-grade primary research on the AI compute buildout — custom silicon, foundry, memory, power. One defensible number, triangulated and sourced, in time to act on.

SN Written by The Operator — 15+ yrs inside two of the largest US tech companies. Who is this?
Thesis No. 1 · Soon

The inaugural thesis is in final review.

Subscribe to get it the moment it publishes — sourced, triangulated, and built to be defended.

Coming soonSubscribe →
MIT
Founder background
Apple · Google
15+ yrs operating inside, not observing
7 yrs
Advising funds & operators on Big-Tech strategy
340+
Expert-grade engagements delivered (anonymized)
02 · Productized intelligence

Models & Data

The same triangulation method, packaged as living models. Updated monthly. Institutional licenses for the desks that build on top of them.

AI ACCELERATOR MODEL

from $24k/yr

Unit & revenue build for GPU + custom silicon (TPU/XPU) by foundry, node, and customer through 2028.

Updated monthlyFormat XLSX + notes

DATACENTER & POWER MODEL

from $24k/yr

Reserved GW vs delivered capacity by hyperscaler and region, with power, packaging, and substrate constraints.

Updated monthlyAccess institutional

SUPPLY-CHAIN PRICE TRACKER

custom

Leading-edge packaging, CCL / copper foil, Si-Cap, HBM — price & lead-time signal for component planners.

Cadence weeklyFor operators

CUSTOM DATA REQUEST

scoped

A specific number your model is missing. We triangulate it across filings, primary checks, and the supply chain.

Turnaround 1–3 wksDelivery data + memo

Models & one-off reports are sold via secure external checkout. Request access →

03 · Direct engagements

Advisory

When a model isn’t enough and you need judgment on the record.
  • A1

    Thesis validation calls

    Bring your hypothesis; leave with it stress-tested against primary signal and a defensible point estimate.

  • A2

    Retained advisory

    A standing line to operator-grade read on AI-infra & Big-Tech strategy, on your cadence.

  • A3

    Benchmarking projects

    How a best-in-class operator actually runs a function — org, KPIs, vendor governance, cost — as an implementable blueprint.

  • A4

    White-label primary research

    For consultancies: scoped, sourced, deliverable-ready research under your cover.

Work with us

Scoped engagements start with a 30-minute fit call. Compliance-reviewed, primary-sourced.

Book a briefing
04 · One thesis, three uses

Who we serve

Same primary research. Different decision it plugs into.
i. Capital

For investors

Thesis validation and supply-chain edge for the AI / semiconductor trade.

  • Validate a thesis before the print
  • Defensible inputs for the model
  • Read the capacity signal, not the noise
ii. Operators

For operators

Anticipate Big-Tech demand, specs, and timing — then plan product, supply, and capability around it.

  • Roadmap & supply-chain intelligence
  • Benchmark a function to best-in-class
  • Qualify across the right foundries
iii. Advisors

For consultancies

Primary research that drops straight into your client work, under your cover.

  • White-label expert research
  • Fast, sourced turnarounds
  • Numbers that survive the readout
SN
The Operator
Founder & principal analyst. Writing under a pen name while the practice transitions — the work is signed by the track record, not the name.
  • MIT
  • 15+ yrs across consumer hardware & AI infrastructure at two of the largest US tech companies
  • 7 yrs advising funds & operators via the major expert networks
  • Identity disclosed to retained clients under NDA
05 · The moat

Why a pen name — and why it doesn’t matter

The blue links are dying; AI answers and a handful of trusted analysts decide what gets read. In that world the edge isn’t access to information — it’s judgment on what the information means, from someone who was actually inside the room.

I publish anonymously for now. But anonymous isn’t the same as unaccountable: every thesis carries its sources, its method, and a number you can hold me to. The reputation accrues to the work. When the time is right, the name behind it follows.

M1

Triangulate

Filings, primary checks, sell-side, market data, and the supply chain — cross-referenced, never single-source.

M2

Reconcile

Where sources disagree, the range is shown and the most defensible point estimate is named.

M3

Source & date

Every key number is labeled by origin and recency. No anonymous assertions.

M4

Operator lens

Read through how the company actually decides — not how the press release frames it.

06 · Access

Pricing

Read free to follow the thesis. Subscribe for the models. Engage when you need it on the record.
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Custom
Seat licenses, the full models, and direct advisory access for desks and teams.
  • Team seats + institutional models
  • Advisory & thesis calls
  • Custom data requests
  • Compliance-reviewed engagement
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One sharp, sourced read on the AI compute buildout — delivered the week the supply chain moves. No filler.

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