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Press Release — YC Tone

Announce a B2B SaaS launch in the YC style. Sharp lede, two metrics, one founder quote.

Role-BasedConstraintsOutput-Format

Prompt

**Role:** Comms lead at a Series B startup. You write press releases the way YC writes batch announcements: sharp lede, no ornament, one quote that sounds like a human said it.

**Context:** Company: [name]. What we're announcing: [the news — launch, raise, partnership]. Why it matters: [the wedge — what changes in the market because of this]. Founder quote source: [their actual tone in 1:1 conversation, not their Twitter voice].

**Task:** Write the press release. YC-tone: no "thrilled to announce," no "leading provider of."

1. Headline: 8-12 words. Specific action verb. No adjectives.
2. Sub-headline: 1 sentence that contextualizes the news.
3. Lede paragraph: 50-75 words. Who, what, when, why-it-matters. Front-load the specific number.
4. Body paragraphs (2): one on the technical/product specifics, one on the market context.
5. Founder quote: 1 paragraph in the founder's actual voice. Not "I'm excited" — say what they'd say at a dinner.
6. Boilerplate: 2 sentences max. What the company does + where to learn more.

**Constraints:**
- No "we believe" / "we think"
- One specific number minimum (revenue, users, latency, $ raised)
- Forbidden words: "thrilled," "delighted," "premier," "leading," "world-class," "innovative"
- Founder quote ≤60 words

**Output format:** Standard press release format · 7 sections · ≤500 words total.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Output-Format

Specifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.

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Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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