Mirrord for Teams – a Remocal K8s Development tool

Hacker News

Hey all, Two years ago we created the mirrord OSS - a tool that lets you run a local process in the context of your Kubernetes environment, letting you test directly in the cloud from your IDE or CLI without going through Docker Build, CI and deployment. Today we’re launching mirrord for Teams, a secure and manageable platform built on top of mirrord OSS with extra features for collaboration and advanced use cases - all to make it incredibly simple to adopt the mirrord Remocal workflow broadly within the organization. Looking forward to hear what you think!

Visit product View on Hacker NewsJun 17, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: dock, context · Missing: mac, agents, macos

85%85% 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: created · Missing: supports, reddit linkedin, podcasting

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

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

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews

58%58% 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

32%32% 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

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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