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Prompt

What should I use for content distribution to software engineers?

Media publishing / Developer media1 observationLast seen Sep 23, 2026

Latest observation

Sep 23, 2026OpenAI APIWeb search: off

For content distribution to software engineers, the best channels are usually the ones where they already learn, compare tools, and share useful links. A good mix is:

Best channels

  1. GitHub

    • README files, docs, example repos, templates, open-source tools
    • Great for credibility and discovery by technical users

  2. Technical blogs / SEO

    • Deep-dive posts, tutorials, benchmarking, architecture notes
    • Works well for searchable problem/solution content

  3. Hacker News

    • Strong for technical launches, opinionated posts, and useful tools
    • Best when the content is genuinely valuable, not promotional

  4. Reddit

    • Subreddits like r/programming, r/devops, r/webdev, r/machinelearning, etc.
    • Good for niche discussions if you participate authentically

  5. Dev communities

    • Dev.to, Hashnode, DZone, Stack Overflow (carefully), Discord/Slack communities
    • Good for tutorials, walkthroughs, and practical posts

  6. LinkedIn

    • Better for senior engineers, engineering managers, and B2B distribution
    • Works well for case studies, lessons learned, and product announcements

  7. YouTube / short demo videos

    • Great for showing how something works quickly
    • Especially useful for tools, frameworks, and developer products

  8. Newsletters

    • Sponsor or contribute to newsletters engineers already read
    • Good for targeted reach and repeat exposure

What tends to work best

Software engineers respond best to:

  • Technical depth
  • Concrete examples
  • Code or demos
  • Benchmarks / tradeoffs
  • Clear utility
  • Honest limitations

A practical combo

If you’re starting out, a strong stack is:

  • GitHub repo + docs
  • Technical blog posts
  • Hacker News launch
  • Dev.to / Hashnode republishing
  • Newsletter mentions
  • LinkedIn if it’s B2B

If you want, I can also recommend the best distribution channels by product type — e.g. API, devtool, AI tool, open-source library, or SaaS for engineers.

Brands

GitHubHacker NewsRedditDev.toHashnodeDzoneStack OverflowDiscordSlackLinkedinYouTube

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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