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Lobsters vs Hacker News: Culture, Flags, and Research Etiquette

Hacker News is a broad, high-traffic tech forum. Lobsters (lobste.rs) is invite-oriented with tagging and a smaller audience - strong for deep threads in some niches, weaker for mass-market launches.

For research: lurk, cite, and never treat either as a lead database.

Best for: technical founders validating dev-facing ideas.

Side-by-side comparison

Dimension Hacker News Lobsters
Visibility Very high front-page potential Niche, tag-filtered
Access Open posting with karma norms Invite + moderation
Feedback Often blunt, fast Often detailed in specific tags
Launch fit Show HN spikes Rarely launch-first
Research fit Category language at scale Deep technical debates

Read HN Guidelines and Lobsters About/wiki for current norms.

Flagging and moderation culture

HN: Flagging affects visibility; mods enforce guidelines publicly in threads. Expect direct criticism of technical claims.

Lobsters: Invite model + tags shape who sees what. Off-topic or low-effort posts get moderated differently - read before posting.

Research implication: Lurking 1–2 weeks on both before commenting reduces ban risk.

Cross-posting etiquette

Do Don't
Disclose cross-post if asked Same promo link same hour
Adapt title to community Copy-paste marketing speak
Engage in comments hours Hit-and-run link drop

See HN playbook for Show HN vs comment-first discovery.

When to prioritize which

Your ICP Start here
DevTools / infra HN + Lobsters tags (systems, devops)
Prosumer SaaS HN + Reddit
Security niche Lobsters security tags + specialist subs

Search both in one workflow via multi-platform search - Lobsters is included on eligible Search plans.

Research workflow

  1. Search category on HN (Algolia) and Lobsters (site search).
  2. Log 10 phrases from each.
  3. Compare overlap - shared phrases = strong positioning candidates.
  4. Reply on one thread per week max while learning norms.

Related reading

  • Find your first 100 customers - community-led discovery pillar
  • Hacker News playbook - Show HN and Ask HN workflow
  • Reddit vs HN vs Stack Overflow
  • HN customer discovery landing
  • Reddit playbook

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