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BLINDSPOT

Live Benchmark for long Horizon tool using Agentic Systems

Details

External ID
1370498337
Source
GITHUB
Company
—
Product
BLINDSPOT
Website domain
arxiv.org
Launched
Sept. 14, 2026
Cohort
—
Upvotes
15
Upvotes percentile
0.4914168588265437
Tags
agent-framework, agentic-ai, artificial-intelligence, benchmark, dataset, large-language-models, multi-agent, over-refusal, refusal-calibration, safety
Fetched at
Sept. 18, 2026, 5:02 p.m.
Updated at
Sept. 18, 2026, 5:02 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
live benchmark for evaluating long-horizon ai agent systems
Manually corrected
False

Could you build this?

No BLINDSPOT is an academic research benchmark for multi-turn adversarial red-teaming of agents involving 22 attack families, complex sandbox environments, and rigorous multi-model calibration metrics.

What it would actually take: Building this requires designing stateful interactive execution environments (sandboxed bash, browser, mock APIs), developing formal taxonomy of 22 multi-turn safety/refusal attacks, and creating programmatic trajectory adjudicators. It relies on AI safety research expertise, rigorous benchmark methodology, and substantial compute resources to run and calibrate thousands of multi-turn agent evaluations across multiple foundation models.

Competitors

Other products that read as similar to this one — 2293 launches clear the similarity bar, closest 8 shown.

Attention rank: #1042 of 2294 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 320 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.