HackerOne Code combines AI analysis with expert human review to identify and remediate code vulnerabilities early in the development lifecycle, integrating seamlessly with existing developer tools.
Developer & AI Platformpullrequest.comTracked since 2026-08-211 discovery source
9.6KBacklinks
672Referring domains
26Domain authority
-4.8%Referring domains · 90 days
Authority & distribution
How strong is HackerOne Code’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
9.6KCurrent snapshot
Referring domains
672Current snapshot
Authority
26Domain authority · category median 22
90-day move
-4.8%Referring domains, last 90 days
At 26, HackerOne Code sits above the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“HackerOne Code”
HackerOne Code combines AI analysis with expert human review to identify and remediate code vulnerabilities early in the development lifecycle, integrating seamlessly with existing developer tools.
Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://www.pullrequest.com
Observed across 1 discovery source.
Research questions
What the evidence answers about HackerOne Code.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What is the core function of HackerOne Code and what problem does it solve?
HackerOne Code identifies and helps remediate code vulnerabilities early in the development lifecycle. It combines proprietary AI analysis with expert human review to find security issues before they reach production. This process helps development teams build secure software without compromising speed.
What key features and integrations does HackerOne Code provide?
HackerOne Code features AI-powered security intelligence called Hai, human-in-the-loop validation to virtually eliminate false positives, and provides remediation guidance and security knowledge to developers. It natively integrates with major source code management platforms including GitHub, GitLab, BitBucket, and Azure DevOps, and supports all major programming languages and frameworks.
How does the human-in-the-loop approach differ from fully automated tools, and what problem does it address?
The human-in-the-loop approach has expert engineers manually review and validate each finding before it is presented to developers. This virtually eliminates false positives compared to fully automated security tools, ensuring developers receive precise, relevant, and actionable insights so they can focus on real threats.
Who is HackerOne Code designed for?
HackerOne Code is built for development teams of all sizes that need to ship secure code. It is a developer-first security platform that integrates directly into the tools developers already use, such as their source code management systems.
What is HackerOne Code?
HackerOne Code is a developer-first code security platform that combines AI analysis with expert human review to identify and remediate code vulnerabilities early in the development lifecycle.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full HackerOne Code intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured