Hyperbrowserai Hyperbooklm

Name: Hyperbrowserai Hyperbooklm
Rating: 2.99 (1 reviews)
Author: hyperbrowserai

#1697 · by hyperbrowserai

infra serverless GPU

2.99/ 5.00

cautionBeta

Score capped to 2.99 (raw score: 3.30) due to insufficient data in one or more signals. The composite is held at caution level until all signals can be fully evaluated.

Jun 12, 2026 at 11:02 AM6 signals analysedNo manual reviews · fully automated

Trust Signal Breakdown

medium23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

1 of 3 sub-signals with data

Known CVEs100%5.0

No known CVEs

via OSV.dev

Dependency Healthno data—

Weight redistributed to sub-signals with data

Supply Chainno data—

Weight redistributed to sub-signals with data

Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

100.00% over 2 checks

via Health checks

Response Latency25%4.0

p99: 354ms, p50: 354ms

via Health checks

Error Rate20%1.0

50.00% error rate (1/2)

via Health checks

Incident History20%4.0

1 incidents in last 90 days

via Incidents table

Commit recency, release cadence, issue response, CI/CD

0 of 4 sub-signals with data

Commit Recencyno data—

Weight redistributed to sub-signals with data

Release Cadenceno data—

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Issue Responseno data—

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CI/CD Presenceno data—

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Downloads, stars, dependents, and growth trajectory

0 of 4 sub-signals with data

Download Volumeno data—

Weight redistributed to sub-signals with data

GitHub Starsno data—

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Dependent Packagesno data—

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Growth Trendno data—

Weight redistributed to sub-signals with data

License, documentation, security policy, changelog

0 of 4 sub-signals with data

Open Sourceno data—

Weight redistributed to sub-signals with data

Documentationno data—

Weight redistributed to sub-signals with data

Security Policyno data—

Weight redistributed to sub-signals with data

Changelogno data—

Weight redistributed to sub-signals with data

Track record, org maturity, community standing

4 of 4 sub-signals with data

Track Record30%0.0

via Fabric index

Org Maturity30%0.0

via GitHub

Community Standing20%0.0

via GitHub

Cross-Platform20%0.0

via Registry scan

Limited data available — 3 of 6 signals pending evaluation

About this score

Scored across 23 sub-signals in 6 dimensionsScoring engine v1 (beta) — actively being expandedPhase 1: Core sub-signal architecture (live)Phase 2: Permission scope & expanded collection (in progress)

Trust AssessmentAI Assessment

Hyperbooklm is a research assistant application published by hyperbrowserai under the MIT license, designed to aggregate and analyze web URLs and PDFs using Next.js, React, and Hyperbrowser integration. The service shows no known vulnerabilities and maintains strong operational stability with 100% uptime, but presents low adoption signals with zero recorded weekly downloads. Maintenance scores indicate irregular update patterns, and the publisher trust rating suggests limited track record or verification history for this infrastructure component.

Generated by Fabric AI · Mar 6, 2026 at 3:29 AM

Package Availability (30d)

100.00%

p50: 354ms · p99: 354ms

Avg Latency

224ms

averaged across 30d health checks

Weekly Downloads

—

no package registry data

Incidents & Alertslast 90 days

Mar 6Trust score decreased by 1.751.81