PlantDiagrams – AI-powered PlantUML editor

Hacker News

Hi HN! I couldn’t find a truly user-friendly PlantUML editor, so I set out to build one. PlantDiagrams lets you describe a diagram in plain English; it generates the PlantUML and renders it instantly. The goal is to shorten the path from idea → diagram without fighting the editor. Tech: - Next.js / Supabase / FLy.io / Vercel Highlights - Natural-language to PlantUML with live preview - Export diagrams (SVG/PNG/TXT) - Organize work with Projects - Share via link; optional comments for review - Sample gallery to open and tweak examples Try it: https://www.plantdiagrams.com

Visit product View on Hacker NewsSep 19, 2025

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4points

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Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, open, plain · Missing: mac, agents, macos

70%70% 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.

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

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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