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I made a local development, debugging and hotreload tool for AWS Lambda

Hacker News

I made a local development, debugging and hotreload tool for AWS Lambda

MerLoc is a live AWS Lambda function development and debugging tool. MerLoc allows you to run AWS Lambda functions on your local while they are still part of a flow in the AWS cloud remote. MerLoc makes it possible to - test your function locally without deploy to the AWS Lambda environment (so no wait for build, package and deploy) - debug your function by putting breakpoints from your IDE - hot-reload updated function on your local automatically to apply changes automatically (so again no wait for build, package and deploy) - run the individual function locally while it is still part of flow shown above and use real requests from the AWS Lambda environment

Visit product View on Hacker NewsAug 16, 2022

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

33%33% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

28%28% 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

16%16% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

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