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Switch2Cursor – Smoothly Switch Between JetBrains IDEs and Cursor

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Switch2Cursor – Smoothly Switch Between JetBrains IDEs and Cursor

I've developed a JetBrains IDE plugin that enables developers to quickly switch between JetBrains IDEs and Cursor Editor. Key features: - Maintains cursor position sync for seamless context switching - Keyboard shortcuts (Mac: Option+Shift+P/O, Win: Alt+Shift+P/O) - Supports all JetBrains IDEs (2022.3+) - Open source Background: With the growing popularity of Cursor Editor, many developers frequently switch between JetBrains IDEs and Cursor. This plugin addresses the efficiency issues that arise from constant switching. Feel free to try it out and provide feedback!

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Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, cursor, context · Missing: agents, macos, agent
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
87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
51%51% 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, ide, io · Missing: https docs, excited, just released
33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
19%19% predicted probability of success on AppSumo, based on ML models trained on real launch data.
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 · Missing: web3, chat, crypto
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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