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Rove – Self-hosted container deployments

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Rove – Self-hosted container deployments

Hey HN, Rove is a deployment tool that I've been working on for a short while. I was motivated to create this after building a CD SaaS for AWS, and becoming disillusioned with the unnecessary complexity and costs associated with running containers in proprietary "cloud" runtimes. Rove is very different from that. It is a single binary, does not communicate with an external service, and deployments run in a single command. Deployments are diffed so you can see changes before applying them, sort of like Terraform. There is no proprietary runtime because everything just runs on Docker Swarm behind the scenes. I have no plans to monetize the project besides being open to sponsorships of features that follow the values of the project rigidly, which means no telemetry, no ads, and always opt-in. Today marks the initial release. There is still a bit of work to be done around supporting additional Linux distros, more of Docker's features and things like scheduled tasks, but you should be able to deploy services and tasks with Rove in its current state on Ubuntu. The Git repo is here: https://github.com/evantbyrne/rove Thanks for checking it out, –Evan

Visit productView on Hacker NewsAug 26, 2024
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: dock, single, tasks · Missing: mac, agents, macos
91%91% 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.
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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
13%13% 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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