Commercial Space & Satellite Internet

LaurenceYang Commercial Space & Satellite Internet Research OS

Ask about a company, constellation, market signal, or strategic choice. The product shows its sources, runs repeatable valuation or risk calculations, marks missing fields, and saves the result as a report for you to review.

Ask in plain English Companies · constellations · markets Sources stay visible You approve assumptions
LAURENCEYANG / RESEARCH WORKFLOWQuestion → Evidence → Report
Example research question
What supports this company’s moat?
01 / ASKAsk the research questionA company, comparison, or industry question.
02 / CHECKCheck sources and calculationsNumbers, sources, assumptions, and gaps.
03 / SAVESave the reportSources, assumptions, and gaps stay attached.
Full product demo

See one question become a research report.

The five-step example uses fixed data. Each button opens the product screen used for that step.

5 guided steps
LaurenceYang guided walkthroughIllustrative interface
Step 1 · Ask

Ask a clear question.

Choose a company, industry, comparison, or decision. The Workbench opens the matching research view.

CompanyIndustryComparison
Open Ask LaurenceYang
Example questionPlain English is enough
What supports this satellite operator’s moat, and what could weaken it?
1

Understand the companyBusiness, financials, and valuation

2

Check the riskEvidence, events, and counterpoints

LaurenceYang routes the question. You make the final judgment.
Step 1 of 5Choose a step or use the arrow keys.

Start in the Workbench, then open the page for the task.

The other pages handle satellite events, dated briefs, company topics, and concept research.

Calculations and narrative are separate.

Data tools produce the numbers, and the language layer summarizes their output. This public site uses dated snapshots and fixed, labeled examples; it has no live provider or model connection.

01 / SOURCE

Collect

Store market, filing, news, and industry inputs with their source and snapshot date.

02 / TOOL

Calculate

Normalize identifiers, cross-check sources, calculate DCF, peers, screens, and risk signals.

03 / NARRATIVE

Explain

Summarize the tool results in plain English. If no AI model is connected, show a fixed sample response instead.

04 / REVIEW

Decide

Show assumptions, source dates, missing data, and counter-evidence for human review.

Every screen uses the same evidence rules.

Sources, calculations, missing-data labels, and reports follow one set of controls.

What the public site excludes.

The deployment contains fixed, labeled examples. It contains no live provider, model API, credential, or restricted Wiki full text.

Public portfolio release · Static snapshot

This deployment contains only the static demo.

The personal, non-commercial release contains dated examples and public previews. Provider adapters, local APIs, credentials, and restricted Wiki full text are not deployed.

Open the Workbench to follow the product flow. How It Works explains the calculations, data controls, and my contribution.