Prompt
What are the best platforms to write technical articles?
Latest observation
If you mean where to publish technical articles so developers actually discover them, these are the strongest options in 2026:
| Platform | Best for | My take |
|---|---|---|
| Hashnode | Developer blogging + personal brand | ⭐ Best overall |
| DEV Community | Developer community + feedback | ⭐ Great for reach |
| Medium | Broad tech audience + monetization | ⭐ Good for exposure |
| Substack | Newsletter + building an audience | Best if you want subscribers |
| Ghost | Owning your publication | Best for long-term independence |
| GitHub Pages | Developer portfolio + technical documentation | Best for maximum control |
| HackerNoon | Tech/startup articles | Good additional distribution |
| DZone | Enterprise/software engineering | Good for professional visibility |
My recommendations
1. Hashnode — best default choice
Hashnode is specifically built around developers and technical writing. It supports Markdown, code blocks, LaTeX, custom domains, SEO features, analytics, and GitHub integration. Hashnode Docs+1
I'd choose it if you're writing things like:
- Software architecture
- Backend/frontend tutorials
- AI/ML engineering
- Cloud & DevOps
- Programming language guides
- System design
- Developer tooling
2. DEV Community — best for community interaction
If your priority is getting comments, feedback and discussion from other developers, DEV is a very good choice. It's more community-oriented than having your own standalone blog.
3. Medium — best for broader reach
Medium makes sense if you want your technical writing to reach beyond strictly developer audiences. It also has a writer monetization mechanism, which distinguishes it from platforms such as Hashnode and DEV. daily.dev
4. Substack — best if you're building a following
If you're thinking beyond individual articles and want readers to subscribe to you, Substack is particularly attractive. It's more publication/newsletter-first than developer-community-first.
The strategy I'd actually use
Don't necessarily choose one.
I'd use:
Your own site / Hashnode → canonical article ↓ DEV + Medium → distribution ↓ LinkedIn / X / Reddit → discussion and traffic
That gives you both long-term ownership and existing audiences. Current comparisons similarly emphasize that a combination of a controlled home base plus distribution platforms is often stronger than relying on one platform. Stackademic
If you're starting from zero, my ranking would be:
🥇 Hashnode — best overall for a technical writer 🥈 DEV — best developer community 🥉 Medium — best broader audience/monetization 4. Substack — best newsletter strategy 5. Personal site/Ghost — best long-term ownership
If you tell me what kind of technical articles you want to write (e.g. AI, software engineering, cybersecurity, data science, cloud, programming tutorials), I can give you a much more specific top 3 + where each one is most likely to get readers.
Citations
- https://docs.hashnode.com/blogs/getting-started/introduction
- https://hashnode.com/?source=joinme
- https://daily.dev/blog/developers-blogging-platforms-hashnode-vs-dev-to-vs-medium/
- https://stackademic.com/blog/best-syndication-platforms-for-technical-content-where-developers-and-technical-writers-should-publish
- https://www.itechguides.com/best-platforms-for-developers-to-publish-technical-articles/
- https://www.itechguides.com/dev-to-vs-hashnode-which-blogging-platform-is-right-for-developers/
- https://mobilestalk.net/best-platforms-for-developers-to-publish-technical-articles/
- https://hackmamba.io/developer-community/top-developer-communities-by-technology/
- https://ryanbrowntechlearner.substack.com/p/best-alternatives-to-dev-community
- https://venturemagazine.net/blog/what-s-the-best-place-to-publish-software-engineering-articles
- https://plainenglish.io/writing/best-places-to-publish-coding-tutorials-which-platforms-help-developers-get-read
- https://differ.blog/p/top-developer-blogs-and-guest-post-platforms-to-reach-software-develop-958e6f
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.