AI Prompt Automation Extension for ChatGPT, Gemini, Claude, AI Studio

Hacker News

We just released our Prompt Station extension for AI chatbot automation. https://winbuzzer.com/2025/10/21/release-prompt-station-brin... It can handle very large libraries of prompts/chains/text snippets and offers automation of ChatGPT, Gemini, AI Studio, Claude, Grok, Mistral. We will be adding Openrouter soon and also more advanced features. Besides the supported AI providers, it can be used with all websites via quick pasting into chat bars or any other input field. We have focused on ease of use, offering many trigger options like context menu actions, browser bookmarks, hotkeys, and a top bar. The extension works particularly well for running long prompt chains, offering stop sequences, manual input prompts (for additional context) , and manual/paste/auto modes. A JSON import/export manager, advanced search and tags are also integrated. Please let us know what you think and how we can improve it further, especially for advanced prompt engineering. This is just the initial release and more features/improvements are already in the pipeline.

Visit product View on Hacker NewsOct 30, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, context, chatgpt · 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.

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

89%89% 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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

25%25% 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

18%18% 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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