Prompt
What should I use to get a technical article about my product in front of developers?
Latest observation
Sep 23, 2026
OpenAI APIWeb search: off
To get a technical article about your product in front of developers, the best channels are usually:
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Developer-focused communities
- Hacker News — great for technical depth and startup/product visibility if the article is genuinely useful.
- Reddit — relevant subreddits like r/programming, r/webdev, r/devops, r/golang, r/python, etc., depending on your audience.
- Dev.to — good for practical technical content and tutorials.
- Hashnode — similar to Dev.to, developer-friendly and blog-focused.
- Product Hunt — more product-oriented, but can work well if the article ties into a launch or announcement.
-
Social platforms where developers hang out
- X (Twitter) — useful if you can get engagement from developer influencers and the post is concise with a strong hook.
- LinkedIn — better for B2B/enterprise dev audiences and engineering leaders.
- Mastodon / Bluesky — can work for niche developer audiences, especially open-source or indie tech.
-
Your own technical blog + distribution
- Publish on your company blog first, then repurpose and share excerpts on the channels above.
- This helps with SEO and gives you a permanent canonical source.
-
Communities and newsletters
- Send it to developer newsletters that match your stack or niche.
- Share in Slack/Discord communities for specific languages/frameworks/tools.
- Reach out to independent bloggers or creators who write for your target developer audience.
What works best
If the article is:
- educational, benchmark-driven, or solves a real problem, it’ll do best on Hacker News, Dev.to, and relevant subreddits.
- more product-led or tied to a launch, use Product Hunt, LinkedIn, and X.
Quick tip
Developers respond best to content that feels like:
- a how-to
- a real technical deep dive
- a benchmark/comparison
- a postmortem or engineering story
- a tutorial with code
If you want, I can also give you a distribution plan by audience type (startup devs, backend engineers, ML engineers, etc.).