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Warp AWS Productivity Launcher

Hacker News

Warp AWS Productivity Launcher

Hey HN, I decided to package up a tool I use ubiquitously when working with AWS. Its a launcher similar to Spotlight, Alfred and Raycast. However its designed specifically for navigating to AWS resources. If you work semi frequently with AWS it can be a real pain just navigating around the console. The idea of Warp is to reduce that amount of time as much possible. If any of these features catch your eye then feel free to check it out. - Cross account searching - Cross resource searching - Service result caching. Its currently up for a one time payment and I have no plans to make it anything other than that.

Visit product View on Hacker NewsOct 31, 2024

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

60%60% 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 · Missing: mac, agents, macos

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

Hacker NewsMay not resonate with HN audience · Strong signals: ide · 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.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

30%30% 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

12%12% 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

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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