Homelabinator, the easiest way to self-host

Hacker News

Hey HN! Just got my HN account created recently but I've been around the block a decent bit. Myself and a few friends love self-hosting, but believe that it’s hard to get started. So we created what we believe to be the easiest gateway to homelabbing, and we called it Homelabinator! It is an opinionated customization of NixOS, built on the shoulders of the giants that are NixOS and K3s. Allowing you to enter the world of homelabbing, without being a Linux expert. To celebrate our launch, we are running a giveaway! Submit a screenshot of a subscription you have canceled to enter into a giveaway for a free domain of your choice!

Visit product View on Hacker NewsMar 23, 2026

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, started · Missing: supports, reddit linkedin, podcasting

86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

68%68% 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: host · Missing: plus, platform, intuitive

56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue

18%18% 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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