Prompt

Where do developers publish content today

Media & Publishing / Developer Media5 observationsLast seen Sep 3, 2026

Latest observation

Sep 3, 2026Perplexity

Developers today mostly publish on a small, focused stack: GitHub for code, dev.to or Hashnode for writing, X/Bluesky for conversation, and daily.dev for news.

Primary writing platforms

  • dev.to – Community-driven dev blog; great for tutorials, project write-ups, and quick feedback.
  • Hashnode – Developer blog with custom domain support; good for SEO ownership and long-term content.
  • Medium (and publications like Stackademic) – Broad tech/startup audience; good for essays and career posts, but less dev-native.
  • In Plain English / HackerNoon / freeCodeCamp News – Strong for tutorials, explainers, and thought leadership with editorial reach.

Code + docs as content

  • GitHub – READMEs, docs, release notes, and example repos are core “content” for many devs.
  • GitLab / Bitbucket – Similar role in some teams, especially enterprise.

Social & community channels

  • X (Twitter) / Bluesky – Short-form updates, threads, and networking.
  • LinkedIn – Professional posts, career updates, and company tech blogs.
  • Reddit / Hacker News – Long-form discussions, AMAs, and link sharing to dev subs.
  • Discord / Slack communities – Niche language/framework servers with “show & tell” and blog channels.

Aggregators & feeds

  • daily.dev – News feed used by many devs during work; good for discovery and syndication.

Common 2026 setup

A typical minimal stack:

  • Code: GitHub
  • Writing: dev.to or Hashnode (often both, with canonicals)
  • Social: X or Bluesky (+ LinkedIn for B2B)
  • News/discovery: daily.dev

If you tell me your content type (tutorials, essays, product posts) and goal (SEO, community, brand), I can suggest a tight 2–3 platform setup and a simple cross-posting workflow.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (5 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.

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.