Drawing-Prompts – An AI powered drawing-idea generator

Hacker News

I was on a journey to learn painting, but I constantly found myself stumped by the question, "What should I paint?" My artwork was far from perfect, but I was determined to paint for my own enjoyment. However, the mundane subjects often suggested for beginners left me uninspired. That's when I decided to create a painting prompt tool that automatically generates a set of exciting and stimulating descriptive words based on a curated range of themes. The key features of this tool are its simplicity and accessibility - it's completely free to use. Users only need to select a theme, and they will receive a series of relevant descriptive and suggestive words to ignite their creativity. In the future, I plan to incorporate engaging painting tutorials into the tool. I believe this tool can offer a fresh and entertaining learning experience for painting enthusiasts. Embark on your painting journey now: https://www.drawing-prompts.org/

Visit product View on Hacker NewsMay 22, 2024

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

69%69% 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.

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

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

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

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

Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos

18%18% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

12%12% 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.

Correct prediction on native model

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