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Part_HackBench

A stress-testing benchmark for partial-completion evaluators in stateful multi-turn agents, focusing on temporary progress, rollback, and attribution failures.

Details

External ID
1363881689
Source
GITHUB
Company
—
Product
Part_HackBench
Website domain
github.com
Launched
Sept. 10, 2026
Cohort
—
Upvotes
21
Upvotes percentile
0.6211247758134768
Tags
—
Fetched at
Sept. 14, 2026, 5:28 p.m.
Updated at
Sept. 14, 2026, 5:28 p.m.

Enrichment

Theme
ai agent infrastructure and tooling
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
stress-testing benchmark for multi-turn agent evaluators
Manually corrected
False

Could you build this?

Yes Building an LLM benchmark harness with multi-turn state tracking and rollback testing is straightforward software engineering that can be vibe-coded with standard Python testing libraries.

Competitors

Other products that read as similar to this one — 1720 launches clear the similarity bar, closest 8 shown.

Attention rank: #550 of 1721 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 316 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a observability & eval tool for Media & entertainment yet.