Prompt

I’m building a security product and need contributor-friendly developer publications

Media publishing / Developer media1 observationLast seen Sep 23, 2026

Latest observation

Sep 23, 2026OpenAI APIWeb search: off

Absolutely — for a security product, the best contributor-friendly developer publications are usually the ones that are:

  • high-signal and technical
  • welcoming to third-party authors
  • read by engineers/security practitioners
  • open to case studies, tooling, and implementation writeups

Here’s a practical shortlist, organized by likely fit.

Strong options for security / infra / dev audiences

1) DEV Community

  • Why it’s useful: Large developer audience, very contributor-friendly, easy publishing workflow.
  • Best for: Practical tutorials, threat-modeling writeups, secure coding, product lessons.
  • Good if: You want fast publishing and broad reach.
  • URL: https://dev.to

2) HackerNoon

  • Why it’s useful: Open contributor model, security and startup audiences overlap well.
  • Best for: Security engineering narratives, incident postmortems, product explainers, opinionated technical content.
  • Good if: You want distribution plus a more editorial feel.
  • URL: https://hackernoon.com

3) InfoQ

  • Why it’s useful: High-quality engineering readership; respected in architecture/devops/security-adjacent circles.
  • Best for: Deeper technical articles, architecture, platform security, DevSecOps.
  • Notes: More editorial review, less “instant publish.”
  • URL: https://www.infoq.com

4) The New Stack

  • Why it’s useful: Strong infrastructure/cloud/devops readership; often relevant to security tooling.
  • Best for: Cloud security, runtime security, Kubernetes, platform engineering.
  • URL: https://thenewstack.io

5) DZone

  • Why it’s useful: Longstanding dev audience; accepts contributed technical articles.
  • Best for: Enterprise dev/security topics, how-tos, comparisons, architecture.
  • URL: https://dzone.com

6) Stack Overflow Blog

  • Why it’s useful: Large developer reach, but contributions are more selective.
  • Best for: Developer productivity, tooling, workflows, platform engineering.
  • URL: https://stackoverflow.blog

7) SANS Internet Storm Center / SANS blogs

  • Why it’s useful: Very relevant security audience; strong credibility.
  • Best for: Technical security research, detection, malware analysis, incident response.
  • Notes: Usually more editorial/credential-based.
  • URL: https://www.sans.org/blog/

8) Dark Reading

  • Why it’s useful: Widely read in security industry.
  • Best for: Security trends, product-category education, practitioner perspectives.
  • Notes: More editorial gatekeeping.
  • URL: https://www.darkreading.com

9) CSO Online

  • Why it’s useful: Security leadership and practitioner audience.
  • Best for: Strategic security content, risk, operations, programmatic guidance.
  • URL: https://www.csoonline.com

10) Security Boulevard

  • Why it’s useful: Aggregates and publishes security content from vendors and practitioners.
  • Best for: Vendor-friendly security articles, thought leadership, technical explainers.
  • URL: https://securityboulevard.com

Best places if you want “developer-friendly + contributor-friendly”

If your goal is to get engineers to contribute or syndicate content, I’d prioritize:

  1. DEV Community
  2. HackerNoon
  3. DZone
  4. The New Stack
  5. InfoQ

These are generally the easiest mix of:

  • technical audience
  • low friction submission
  • decent discoverability
  • acceptable for product-adjacent content

Best places if you want “security credibility”

If your product is more serious security infrastructure, prioritize:

  1. SANS blogs
  2. Dark Reading
  3. InfoQ
  4. The New Stack
  5. Security Boulevard

Content types that work especially well for security products

Contributor-friendly publications are much more receptive to articles like:

  • How-to guides
    • “How to secure X in Kubernetes”
  • Practical threat modeling
    • “Threat modeling a CI/CD pipeline”
  • Detection engineering
    • “Writing rules for common attack paths”
  • Architecture posts
    • “Designing least-privilege service access”
  • Lessons learned / case studies
    • “What we learned securing multi-cloud deployments”
  • Comparisons
    • “Build vs buy for secrets management”
  • Hands-on tutorials
    • “Setting up policy-as-code for container security”

A simple selection strategy

If you’re just getting started, I’d do this:

  • For reach: DEV + HackerNoon
  • For technical credibility: InfoQ + The New Stack
  • For security audience: SANS + Dark Reading
  • For syndication/volume: Security Boulevard + DZone

Important caveat

If this is for a vendor product, some outlets are more tolerant of product mentions than others. To avoid rejection:

  • lead with technical value
  • minimize overt promotion
  • include code, diagrams, benchmarks, or concrete examples
  • disclose sponsorship if needed
  • pitch articles as educational, not product marketing

If you want, I can also give you:

  1. a ranked list by best fit for security startups,
  2. submission guidelines / contact links, or
  3. a pitch template for contributor outreach.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.