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Silicon Valley Engineer Talent Report

Silicon Valley Engineer Talent Report

A data-driven intelligence report providing insights into the Silicon Valley software engineering talent landscape

Analytics·Launched Apr 2026·0 upvotes·info.celential.ai
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UNVERIFIEDlast checked Jul 13, 2026 · Unknown
CohortClass of 2026

What it is

A data-driven intelligence report providing insights into the Silicon Valley software engineering talent landscape. Tracks engineer distribution by specialization, experience levels, and emerging skill trends. Essential research for hiring teams and workforce planning.

HTTP liveness

11 probes since May 23
May 23Jul 13
AliveHard-dead (404/5xx/parked)RedirectedUnverified (timeout/DNS/block)

Observed events

probes · press · GitHub
  1. May 23, 2026
    First probe — unverified
    Cloudflare block
  2. Apr 30, 2026

Press mentions

1 lifetime · 1 shown
Thu
Apr 30
MIT Tech Review

This startup’s new mechanistic interpretability tool lets you debug LLMs

technologyreview.com·Goodfire releases Silico, a mechanistic interpretability tool that allows researchers to debug and adjust LLM parameters during training for finer-grained model control.
+1.00

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VitalsActive
Upvotes
Press
1
Tags
Pulse Indexobserved activity
93/4 signal families
Liveness40%
0.20
Press30%
0.02
GitHub20%
no data
Tranco10%
0.01

Weighted observed activity · updated Jul 15

Cohort survival · Class of 2026weekly

567 products launched in 2026 · 100% still active

567 active0 sunset
Still active
100%
Median lifespan
4.9y