I built Cursor styles for the browser called GPT Rules

Hacker News

I built this chrome extension because I loved Cursor Rules. There wasn't a great way to add context/rules to a chat session in the browser with ChatGPT. I used to copy paste from my notes or have rules saved in my clipboard to make my chats better. This made me realize, that I just wanted a simple chrome extension for easily accessible rules. All you do is press # in your input field to access a list of rules that you can edit / change to prepend your chats to make the responses have higher quality. It's free and open source and requires no API keys. https://github.com/umerhd/gptrules Just a simple tool. Here is the chrome extension link if you don't want to go to the website. https://chromewebstore.google.com/detail/mlpmfljecijammlighc... glhf

Visit product View on Hacker NewsMar 24, 2025

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Launch Intel predictions

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

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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

35%35% 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

14%14% 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

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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