Pinery – A native macOS app for self-publishing with Markdown

Hacker News

Hi HN, I'm Heberti, the solo developer working on Pinery. I've spent the last couple of years building Pinery with a single mission: I wanted a tool that bridged the gap between simple Markdown editors and complex layout software like InDesign. Pinery is my attempt at a solution. It combines a clean, distraction-free Markdown editor with a powerful, real-time visual styling mode. You can control typography, spacing, and layout visually, and see the changes instantly. Key features: - Write in Markdown with AI-assisted text tools (leveraging macOS frameworks) - Customize the design with advanced typography controls - Live preview your document as a PDF or on eReader (simulated e-Ink display) - Export to ePub 3, PDF, and HTML (for a static website) - Works fully offline Demo: https://www.youtube.com/watch?v=O1hg8QRFWcM Product Hunt: https://www.producthunt.com/products/pinery It's a freemium app. The free version lets you write, design, and export to PDF. The Pro subscription unlocks ePub and HTML export. I'd love to hear your feedback and am here to answer any questions!

Visit product View on Hacker NewsAug 27, 2025

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, visual · Missing: agents, agent, cursor

90%90% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

14%14% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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