Prompt
Where are the best places to publish developer tutorials?
Latest observation
If your goal is getting developer tutorials read, I’d use a mix rather than relying on one platform:
| Platform | Best use | Why |
|---|---|---|
| Your own site | Long-term home | Maximum ownership, SEO control, portfolio value |
| DEV Community | Developer reach + discussion | Large developer audience, comments, reactions, followers; DEV currently reports 3M+ registered developers and 10M+ monthly pageviews. DEV Community |
| Hashnode | Developer blog + personal brand | Developer-focused, supports custom domains, SEO features, Markdown/code blocks, and GitHub publishing. Hashnode Docs+1 |
| freeCodeCamp News | In-depth educational tutorials | Particularly suitable for substantial, learner-oriented programming tutorials; editorial submission gives additional credibility. Plain English Resources |
| In Plain English | Broad technical reach | Has publications covering software, AI, Python, JavaScript and other technical subjects; useful for guest posts/syndication. In Plain English |
| Medium | Broader tech audience | Useful if you want to reach beyond developers and potentially participate in Medium's writer monetization. Daily.dev |
| GitHub + GitHub Pages | Code + documentation | Excellent companion to a tutorial: readers can inspect the code, run it, and see the project history. |
What I'd actually do
For a serious tutorial, I'd make your own website the canonical version, then distribute it elsewhere:
Your site → GitHub repo → DEV + Hashnode → relevant publications/newsletters/social
Hashnode explicitly supports canonical URLs when republishing, and DEV supports canonical URLs as well, which is useful when syndicating rather than creating competing copies of the same article. Hashnode Docs+1
For example, a tutorial called "Building a RAG Application with Python and PostgreSQL" could have:
- Your site: definitive, SEO-focused tutorial
- GitHub: complete working project
- DEV: shortened/distributed version linking to the full tutorial
- Hashnode: full or syndicated version
- freeCodeCamp: pitch an especially polished, comprehensive version
- YouTube: optional walkthrough
- LinkedIn/X: short technical takeaways pointing back to the article
If you're starting from zero: I'd begin with DEV + Hashnode, while simultaneously building your own domain. Current comparisons similarly distinguish DEV for developer-community distribution and Hashnode for greater control over your own publishing presence. Daily.dev
If you tell me what kind of tutorials you write (e.g. AI, Python, frontend, DevOps, Rust, cybersecurity) and whether your goal is traffic, reputation, backlinks, leads, or income, I can narrow this down to the 3–5 most relevant outlets.
Citations
- https://dev.to/organizations
- https://docs.hashnode.com/
- https://docs.hashnode.com/blogs/blog-dashboard/github/publish-from-github
- https://resources.plainenglish.io/best-places-to-publish-developer-tutorials
- https://plainenglish.io/writing/best-places-to-publish-coding-tutorials-which-platforms-help-developers-get-read
- https://daily.dev/blog/developers-blogging-platforms-hashnode-vs-dev-to-vs-medium/
- https://docs.hashnode.com/blogs/editor/writing-a-blog-post
- https://venturemagazine.net/blog/where-are-the-best-places-to-publish-developer-tutorials
- https://wheretosubmit.org/guides/dev-to-submission-guide
- https://solutiongigs.in/blog/where-to-publish-developer-blog
- https://venturemagazine.net/blog/where-can-developers-publish-articles-a-practical-guide-to-choosing-the-right-publishing-platform
- https://stackademic.com/blog/where-to-publish-programming-tutorials-the-best-platforms-for-developers
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (33 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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