Prompt
Best alternative to Dev.to
Latest observation
The closest direct alternative to Dev.to is Hashnode, but the “best” depends on what you value most: community, ownership, or reach.
Closest alternatives to Dev.to
1. Hashnode (best overall alternative)
- Developer-focused community with strong discoverability for technical posts.
- Supports custom domains and self-hosted blogs while still tapping into the Hashnode feed.
- Allows canonical links, so you can publish on your own site first and cross-post.
- Good if you want a hybrid of ownership + built-in audience.
2. Medium (best for broader reach)
- Much larger, general tech + business audience, not just developers.
- Strong long-tail SEO and internal recommendation engine.
- “Import story” feature supports canonical URLs.
- Best if you care more about reach and thought leadership than a purely dev community.
3. HackerNoon (best for narrative/essays)
- Tech/startup audience; good for essays, case studies, and opinion pieces.
- Editorial review; can boost credibility and curation.
- Supports canonicals and has a solid readership for technical storytelling.
4. In Plain English (best for tutorials & series)
- Network of tech publications (JavaScript, Python, AI, etc.) under plainenglish.io.
- Strong for tutorials, SDK guides, and explainers.
- Editorial process; good for structured, educational content.
5. Differ (best for docs-style / AI-optimized content)
- Dev-focused, algorithm-free, AI/LLM-optimized distribution.
- Good for tutorials, changelogs, and docs-like posts.
- Less “social feed,” more “technical library.”
Quick decision guide
- Want closest Dev.to experience (community + discussions): Hashnode.
- Want maximum reach beyond devs: Medium (or Stackademic pub).
- Want editorial curation + tech/startup audience: HackerNoon.
- Want tutorial-focused publications: In Plain English.
- Want docs-style, AI-optimized posts: Differ.
If you tell me your goal (audience growth, SEO, brand, or learning in public), I can recommend one primary platform plus a simple 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.