Text-to-Texture (ChatGPT Plugin)

Hacker News

Hello HN! I've been experimenting with ChatGPT plugins and developed a small plugin named "Text-to-Texture". It leverages ChatGPT to translate natural language into parameters for a set of SVG filter primitives, allowing users to create textures without in-depth SVG knowledge. In essence, this tool aims to make parts of SVG more approachable. The code output serves as an opportunity for those interested to dive deeper into how SVG works. If you want to see it in action, I posted a short demo video on my LinkedIn profile: https://www.linkedin.com/posts/erke_chatgpt-chatgptplugins-svg-activity-7065314662745092096-AjS5 Looking forward to your thoughts and feedback!

Visit product View on Hacker NewsMay 19, 2023

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3points

1comments

Did not reach leaderboard

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

81%81% 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: user, chatgpt, activity · Missing: mac, agents, macos

81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: video, users, para · Missing: mobile apps, ios, personal

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

31%31% 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

31%31% 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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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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