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PromptForge – Prompt Manager Inside ChatGPT, Bard and Claude

Hacker News

PromptForge – Prompt Manager Inside ChatGPT, Bard and Claude

Hey HN! I built PromptForge, a browser extension designed to enhance your experience with ChatGPT, Bard, and Claude (with more platforms on the way). This tool offers hundreds of curated prompts, which you can browse, favorite, and collect right inside the above mentioned platforms. PromptForge isn't just about discovering existing prompts; it also lets you to craft and share your own prompts with the community. Opt for public sharing or keep them private for personal use only. PromptForge has the ability to utilize variables in prompts, unlocking a new level of versatility and reusability. Additionally, the backend supports webscraping capabilities, independent of ChatGPT or Bard functionalities. From testing, it can usually pull data from sources when ChatGPT may be limited (I'm still tweaking this and making it better everyday). PromptForge is completely free to use. It features a generous free tier that is sufficient for most users. I invite you to explore the app. Your feedback is invaluable, so please share your thoughts after giving it a try! Cheers, Brandon

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: claude, user, new · Missing: mac, agents, macos
94%94% 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 · Strong signals: supports · Missing: reddit linkedin, podcasting, created
89%89% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, lua, existing · Missing: https docs, excited, just released
38%38% 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: personal, users, way · Missing: mobile apps, ios, entrepreneurs
30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% 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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