Prompt

I’m frustrated with Hacker News for product promotion, what else should I use?

Media publishing / Developer media1 observationLast seen Sep 23, 2026

Latest observation

Sep 23, 2026OpenAI APIWeb search: off

If Hacker News feels too hostile for product promotion, that’s pretty common. It’s great for certain kinds of technical discussion, but it’s often a poor fit for “check out my product” style posts.

A better alternative depends on what you’re promoting and who it’s for. Here are the strongest options:

1. Product Hunt

Best for: startups, SaaS, tools, consumer apps
Why: It’s explicitly built for launches, so the audience expects products.
Tip: Works best when you have a solid launch story, good visuals, and a plan for getting initial traction.

2. Reddit

Best for: niche communities, developer tools, B2B, consumer products
Why: There’s a subreddit for almost everything.
Tip: Don’t “promote” generically—participate in the community first and share when genuinely relevant. Read each subreddit’s self-promo rules carefully.

3. Indie Hackers

Best for: solo founders, bootstrapped products, SaaS
Why: The audience is friendly to build-in-public and product discussions.
Tip: Frame it as a journey, lesson, or problem/solution story rather than a pure ad.

4. X / Twitter

Best for: audience-building, founders, dev tools, design products
Why: Good for repeated exposure and networking.
Tip: Short demos, threads, and progress posts often outperform direct promotion.

5. LinkedIn

Best for: B2B, professional tools, services, workflow products
Why: Especially useful if your buyers are business professionals.
Tip: Focus on business outcomes, case studies, and pain points, not feature dumps.

6. Niche communities

Best for: almost anything, especially specialized products
Examples:

  • Slack/Discord groups
  • Forums
  • Facebook groups
  • specialized newsletters
  • subreddits
  • industry associations

Why: If your product solves a specific problem, niche communities usually convert better than broad launch platforms.

7. Direct outreach

Best for: B2B and high-value products
Why: If you know your target users, direct email or LinkedIn outreach can be far more effective than public posting.
Tip: Keep it concise, personalized, and focused on their problem.

8. Launch newsletters / directories

Best for: SaaS, AI tools, developer tools, apps
Examples:

  • BetaList
  • AlternativeTo
  • SaaSworthy
  • AI tool directories
  • startup newsletters

Why: Good for discoverability and SEO, though usually not massive traffic by itself.


If you want the short answer:

  • For launches: Product Hunt
  • For discussion/community: Indie Hackers or Reddit
  • For B2B: LinkedIn + direct outreach
  • For niche products: niche communities
  • For ongoing visibility: X/Twitter

Best practice

Don’t rely on one channel. Usually the strongest approach is:

  1. Pick 1 primary community where your users already hang out
  2. Share something useful there first
  3. Then introduce your product in a relevant way
  4. Measure clicks, signups, and replies—not just traffic

If you tell me what you’re promoting and who it’s for, I can suggest the best channels and even help you write a post that fits each one.

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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