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Self-Service Azure VM Start/Stop

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Self-Service Azure VM Start/Stop

This self-service app is based on some FinOps work I did for a client who has hundreds of VMs on Azure. We needed to power off their development and test environments out of hours. Microsoft's VM start/stop offering was confusing and had some limitations (you need to write JSON into a logic app to specify VMs, you can only have a single power on/off time, it's hard to see cost data etc). I created a simple interface so their staff could do self-service VM scheduling themselves. Have a play, schedule some VMs! It works in the background using Cron schedules on the VM Tags and a self-hosted Azure Function App. I'm getting it Azure Marketplace ready so people can drop it into their account. There's more in the works like ordered power on/off, and SQL DTU resizing out of hours but for now I'm interested in early feedback and impressions.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: single, using · Missing: mac, agents, macos
64%64% 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
60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
56%56% 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
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, interface · Missing: plus, platform, intuitive
41%41% 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
17%17% 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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