Real ChatGPT answer · index seedMlNapR9buJocompleteB2B software · developer toolsinformational

What is the most efficient way to analyze Webpack bundle size and eliminate unused polyfills in a large React application

ChatGPTgpt-61 query11/1/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
What is the most efficient way to analyze Webpack bundle size and eliminate unused polyfills in a large React application
1 real search · 1 real-search pass
Webpack bundle analyzer official documentation stats JSON analyzer Babel core-js usage-preset-entry global polyfills Browserslist documentationGoogle ↗
OBSERVEDOther / navigational

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

ChatGPT real searches (1)
Short factOther / navigational100%ComparisonConsequenceReasonDefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT1 real searches · gpt-6
Webpack bundle analyzer official documentation stats JSON analyzer Babel core-js usage-preset-entry global polyfills Browserslist documentation Google ↗
  1. Entry and Context · webpack.js.org
  2. Shimming · webpack.js.org

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Webpack bundle analyzer official documentation stats JSON analyzer Babel core-js usage-preset-entry global polyfills Browserslist documentation
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1