Fairway Digital Media

Two Paths to Discovery

We don't just list repositories. We hunt them down using two opposing strategies: Top-Down (Company First) and Bottom-Up (Topic First).

Netflix

github.com/netflix

/conductor

/zuul

/chaos-monkey

The Visibility Iceberg

Do we see everything a company builds? No. Do we see enough to know their stack? Yes. Because modern software development relies on public dependencies.

Public Visibility Line

20% Visible Activity

Open Source, Issues, Stars, Forks, Public Org Repos

80% Private Reality

Proprietary Business Logic, Customer Data, Private Repos

The Insight:
Private apps must import Public libraries.
"You can't hide your stack."

What We Can't See (Private)

Proprietary Algorithms: The "Secret Sauce" (e.g. Google Search Algo, Netflix Rec Sys).
Customer Data: PII, databases, and financial transactions.
Internal Glue Code: Scripts that tie services together.

What We CAN See (Public Signals)

Infrastructure Choices: Issues opened on `terraform-provider-aws` reveal they use AWS.
Database Selection: Starring `pgvector` or `pinecone` reveals an AI/Vector stack.
Pain Points: Complaints on `kafka` discussions reveal scaling issues.

From "Seeing" to "Knowing"

We've established that the Public Tip reveals the Private Mass. Now, let's look at the engine that translates those signals into buying intent.

Enter Stack Inference Engine