Show HN direct language without marketing polish
Strip marketing copy, founder-speak, and LLM-polished launch language from a Show HN post so it reads like a builder talking to peers.
Why this can grow a startup
Hacker News punishes text that sounds like launch collateral. Dang's moderator tips say to drop language that sounds like marketing or sales and to use factual, direct language instead. The same guidance now warns founders not to use LLM-generated or LLM-edited text on HN because the writing patterns trigger backlash. GlassFlow's case study landed on the same point from the growth side: the draft improved when it stopped sounding like founder-speak and started sounding like an engineer describing a painful problem they had actually debugged.
Company example
Hacker News moderator dang says marketing language is an instant turnoff on HN, and GlassFlow's launch rewrite improved by replacing founder-speak with direct technical explanation before the post hit #1 on Show HN.
Source and metric
Source: Hacker News moderator tips on presenting Show HN posts
Dang's March 28, 2026 update adds that even small amounts of LLM-generated or LLM-edited HN text now create visible backlash.
Source discovered: May 31, 2026
When to use it
Use this when Hacker News, Brand, Content is relevant to show hn, brand trust, copywriting and you can run a bounded test with a free budget.
When not to use it
Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.
Founder checklist
- Read Hacker News moderator tips on presenting Show HN posts and identify what is directly supported.
- Choose one channel context: Hacker News, Brand, Content.
- Define the test around Dang's March 28, 2026 update adds that even small amounts of LLM-generated or LLM-edited HN text now create visible backlash..
- Set an owner, evidence window, and stop condition before launch.
Explore the context
Apply this with an operator
Turn isolated search tactics into a crawlable visibility system tied to demand and proof.