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Linux sysadmin course, eight years on

Hacker News

Linux sysadmin course, eight years on

Almost eight years ago I launched an online “Linux sysadmin course for newbies” here at HN. It was a side-project that went well, but never generated enough money to allow me to fully commit to leaving the Day Job. After surviving the Big C, and getting made redundant I thought I might improve and relaunch it commercially – but my doctors are a pessimistic bunch, so it looked like I didn’t have the time. Instead, I rejigged/relaunched it via a Reddit forum this February as free and open - and have now gathered a team of helpers to ensure that it keeps going each month even after I can’t be involved any longer. It’s a month-long course which restarts each month, so “Day 1” of September is this coming Monday. It would be great if you could pass the word on to anyone you know who may be the target market of those who: “...aspire to get Linux-related jobs in industry - junior Linux sysadmin, devops-related work and similar”. [0] http://www.linuxupskillchallenge.org/ [1] https://www.reddit.com/r/linuxupskillchallenge/ [2] http://snori74.blogspot.com/2020/04/health-status.html

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
82%82% 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
80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
49%49% 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
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, open · Missing: mac, agents, macos
25%25% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
25%25% 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.

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