Prompt

Best guest post sites for SaaS developers

Media & Publishing / Developer Media4 observationsLast seen Sep 10, 2026

Latest observation

Sep 10, 2026PerplexityWeb search: on

For SaaS developers, the best guest-post targets are developer-focused publications, SaaS/startup blogs, and high-authority tech sites that accept contributed tutorials, case studies, and engineering playbooks.

High-authority tech and developer blogs

These have large developer audiences and strong SEO value:

  • Dev.to – Open community for software developers; accepts tutorials, how-tos, and deep dives across stacks. High DA, strong dev audience. seowebster
  • DZone – Developer tools, DevOps, cloud, and architecture; accepts contributed articles with a clear technical angle. w3era
  • Smashing Magazine – Web design, frontend dev, UX; prefers technical tutorials with code examples. w3era
  • SitePoint – Web development (JavaScript, PHP, etc.); pays contributors and favors code-heavy articles. w3era
  • Hackernoon – Tech and startup stories; relatively accessible for developer-focused pieces. w3era
  • TechRepublic / ReadWrite / VentureBeat – Broad tech audience; suitable for engineering leadership, platform, and SaaS infrastructure topics. w3era

SaaS-focused publications

Good for SaaS engineering, product, and growth stories:

  • SaaStr – SaaS founders and operators; strong authority, but editorial bar is high. saalinko
  • G2 Learn Hub – Buyers and SaaS evaluators; good for case studies and “how we built/scaled X” pieces, with strict linking rules. microposter
  • Zapier Blog – SaaS, automation, and productivity; clear pitch form and guidelines; strong domain authority. microposter
  • Buffer Blog (guest program) – Creators and small teams; cohort-based guest program with tactical playbooks. microposter
  • WordStream (LocaliQ) Blog – PPC, paid, and acquisition; good for performance and growth-engineering case studies. microposter

SaaS and tech blogs that accept guest posts

These lists curate SaaS/tech sites with “write for us” pages:

  • Curated SaaS guest-post lists highlight dozens of software and B2B blogs that accept submissions (e.g., ExpressPigeon and other SaaS/tool blogs). mentionagent
  • Technology “write for us” roundups include sites like HubSpot Blog, TNW, Geekflare, Dataconomy, and others that cover SaaS, dev tools, and engineering topics. w3era
  • Broader SaaS guest-post directories (Serpzilla, LinkScope, SEOWebster, etc.) aggregate hundreds of SaaS and tech sites with submission pages and metrics, useful for building a target list and filtering by audience and DA. serpzilla

How to use these effectively

  • Prioritize developer-first and SaaS-buyer audiences over generic marketing blogs.
  • Pitch technical tutorials, architecture deep dives, and real case studies (e.g., “How we cut email latency by 70%”, “Building a minimal transactional email layer”).
  • Check each site’s guest-post/write-for-us page for topic fit, linking rules, and example articles before pitching.

If you share your stack and typical topics (e.g., backend, DevOps, frontend, AI), I can suggest a tighter shortlist of 8–10 sites that best match your profile.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (4 observations 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.

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