Prompt

Can I get my dev tool featured on Hacker News instead of publishing on Dev.to?

Media publishing / Developer media1 observationLast seen Sep 23, 2026

Latest observation

Sep 23, 2026OpenAI APIWeb search: off

Yes — you can try to get it featured on Hacker News instead of publishing on Dev.to, but there’s a big difference in how those platforms work:

Hacker News

  • Not a publishing platform in the usual sense.
  • You don’t “publish” there like you would on Dev.to.
  • Typically, someone submits a link to your product, blog post, demo, or announcement.
  • If the community likes it, it may rise in visibility and get featured on the front page.
  • The audience tends to be more technical and skeptical, and they value:
    • originality
    • usefulness
    • technical depth
    • interesting discussion
    • minimal marketing language

Dev.to

  • A content publishing platform.
  • You can directly post an article about your dev tool.
  • It’s much easier to control the narrative, add screenshots, tutorials, and SEO-friendly content.
  • It’s generally more predictable than hoping for HN traction.

If your goal is exposure

You can absolutely submit your tool to Hacker News, but it’s not a guaranteed or controllable channel like Dev.to.

Best approach

A lot of builders do both:

  1. Publish a helpful post or demo page
  2. Submit it to Hacker News
  3. Repurpose the same content on Dev.to for broader reach

Important HN tips

If you want a better chance on HN:

  • Make the title factual, not hypey
  • Lead with the product and what it does
  • Avoid “growth” or sales language
  • Show something technically interesting or genuinely useful
  • A launch post alone may not perform as well as a strong technical write-up or a novel demo

If you want, I can also help you:

  • write an HN-friendly title
  • decide whether your project is likely to do well on HN
  • compare HN vs Dev.to vs Product Hunt for your specific dev tool

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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