Prompt

Is Dev.to better than Hacker News for promoting a developer product?

Media publishing / Developer media1 observationLast seen Sep 23, 2026

Latest observation

Sep 23, 2026OpenAI APIWeb search: off

It depends on what “better” means for your product, but in most cases:

  • Dev.to is usually better for early-stage product marketing
  • Hacker News is usually better for technical credibility and occasional big spikes in attention

Dev.to is a better fit if you want:

  • A more welcoming audience for product content
  • Articles that explain a problem and show how your product solves it
  • More predictable engagement
  • A place where self-promotion is less likely to get punished, if the post is genuinely useful

Hacker News is a better fit if you want:

  • Feedback from a more skeptical, technically strong audience
  • Visibility among founders, engineers, and investors
  • A shot at a large traffic spike
  • Validation from a community that tends to reward originality, depth, and technical substance

The main difference

  • Dev.to rewards helpful, educational, community-oriented content.
  • HN rewards interesting, novel, and technically substantive content—and can be harsh on anything that feels like marketing.

Practical takeaway

If you’re promoting a developer product, a common strategy is:

  1. Publish a useful technical post on Dev.to to build awareness and explain the product.
  2. Submit something strong to HN only if you have a genuinely interesting technical angle, story, or launch.

Short answer

  • For consistent product promotion: Dev.to
  • For high-risk, high-reward exposure: Hacker News

If you want, I can also compare them on:

  • audience quality
  • conversion potential
  • SEO value
  • community rules / self-promotion tolerance

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 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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