How do their growth rates compare?

CodeThreat has a month-over-month growth rate of -41.3%; Hacktron has +249.4%.

How does pricing compare?

CodeThreat: Freemium, Contact for Pricing. Freemium with a published entry price: Free plan at $0/month (3 private repositories, limited agentic PR review and false-positive elimination, SAST + SCA), Pro at $39 per contributor per month adding RBAC, secret scanning, infrastructure security, Jira integration and vulnerability reporting/exports, and Enterprise pricing on request for on-prem deployment, SLA support, compliance reporting and private LLM hosting. Hacktron: Freemium, Paid, Contact for Pricing. Freemium with custom enterprise tiers. Hacktron Review Pro starts at about $40 per developer per month including 50 pull requests per developer, with $1 per additional PR, and is free for open source. Whitebox pentests are priced per engagement, roughly $50 to $25,000 depending on scope (about $500 per 100,000 lines of code). Red and enterprise deployments are quote-based.

What are alternatives to CodeThreat and Hacktron?

Other tools in related categories include Salesforce Agentforce (formerly Einstein), Hostinger AI Website Builder & Hosting, Muse, HubSpot Breeze AI & Agent Hub, Jotform AI Agents.

CodeThreat vs Hacktron — Traffic (2.28K vs 212.5K), Pricing & Verdict

Open AI Tools

CodeThreat vs Hacktron — Traffic (2.28K vs 212.5K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	CodeThreat	Hacktron
Official Domain	codethreat.com	hacktron.ai
Pricing Model	Freemium, Contact for Pricing	Freemium, Paid, Contact for Pricing
Monthly Visits	2.28K (2,284)	212.5K (212,496)
MoM Traffic Delta	-1.61K (-41.3%)	+151.68K (+249.4%)
Primary Market & Share	🇰🇿 Kazakhstan (51.3%)	🇺🇸 United States (46.4%)
Direct Visits / mo	931	61.03K
User Rating	5	5
Supported Platforms	Website	Website

CodeThreat

AI-native SAST that reviews your pull requests and cuts the false-positive noise

Agentic PR review

An AI agent analyses code changes at pull-request level and surfaces risks before merge, so security becomes part of code review rather than a post-release audit.

False positive elimination

A dedicated agent re-checks each finding, flags non-exploitable ones and explains why they are likely false positives, so developers spend their time on real vulnerabilities.

AI SAST with project context

Understands repository context to detect complex issues such as logic flaws, authentication problems and unsafe data flows that rule-based scanners frequently miss.

Repository mapping and agentic repo analysis

Maps the entire codebase, links components and flows, and generates insights on architecture, documentation, endpoints, dependencies and data flow for faster onboarding.

Strengths & Pros

+AI agents filter false positives and explain findings in developer-friendly language, which reduces alert fatigue
+Genuinely consolidated coverage: SAST, SCA, IaC, container and secret scanning in one platform
+Transparent self-serve pricing with a free tier and a $39 per contributor Pro plan