Prompt
I’m building a dev tool and need places to publish educational articles about it
Latest observation
Here are good places to publish educational articles about a dev tool, grouped by audience and goal:
Developer-focused publications
- DEV Community — great for tutorials, launch posts, and practical guides
- Hashnode — solid for technical blogging and SEO
- Medium — broad reach, useful if you already have an audience
- The New Stack — good for more in-depth infrastructure/devtool content
- InfoQ — works well for higher-level engineering articles and trends
Community/discussion platforms
- Reddit — relevant subreddits like r/programming, r/webdev, r/devops, r/Python, etc.
Best for sharing genuinely useful content, not overt promotion - Hacker News — strong for technical audiences if the article is insightful and original
- Lobsters — smaller but high-quality technical audience
- Indie Hackers — if the tool is for builders/startups
Platform-specific / ecosystem blogs
If your tool supports a specific stack, publish where that ecosystem lives:
- React, Vue, Angular, Rust, Go, Python, Kubernetes, AWS, etc. communities
- Vendor blogs or official partner blogs
- Package registry/blog ecosystems when relevant
Your own channels
- Company blog / documentation site — best long-term asset
- Newsletter — great for repeat engagement
- GitHub README / Discussions / Releases — useful for practical educational content
- LinkedIn — works well for devtool content aimed at professionals and teams
Good strategy
A strong approach is:
- Publish on your own blog first
- Repurpose into shorter versions for DEV/Hashnode/LinkedIn
- Share the most technical or interesting angle on Hacker News / Reddit
- Cross-link everything back to your docs or landing page
If you want, I can also give you:
- a ranked list by traffic/SEO
- a list by free vs paid
- or the best places specifically for B2B devtools / open-source tools
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 Circuit. 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.