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24,000 Hacker News posts in two minutes

AI-assisted summaries and translations. Check original sources for context and performance claims.

madewithjev.com · Original language: unknown

This demonstration showcases Jev integrated with the Venice API to categorize 24,000 Hacker News posts into twelve distinct buckets. The author claims the process completed in approximately two minutes, highlighting the model's throughput capabilities for large-scale data classification tasks.

Translated summary · AI-assisted; check the original.

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JEVLAB decorative pixel illustration; not source mediaJEVLAB ART

Source notes

This is a linked resource, not an independent verification of performance, cost or results. Check the original for current details.

Collected
2026-09-27
Discovered via
github.com

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