DocCraft AI – Generate professional business documents

Hacker News

Hi HN, I built DocCraft AI after spending way too many hours writing job descriptions, privacy policies, and marketing copy for my startup. What should take 5 minutes was taking 2+ hours of research, writing, and revisions. DocCraft generates professional business documents using AI, tailored to your company's industry and voice. Just fill out your company profile once, then generate: - Job descriptions with proper requirements/benefits - GDPR-compliant privacy policies - Marketing emails that don't sound generic - Terms of service, press releases, etc. Built with Next.js 15, TypeScript, and OpenAI. Free tier available. Try it: https://doccraftai.vercel.app/ What documents do you spend the most time writing? Would love feedback from fellow founders/operators.

Visit product View on Hacker NewsOct 21, 2025

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2points

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: email, openai, using · Missing: mac, agents, macos

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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