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Vetr.is – Privacy-First Cloud in Iceland
Hacker NewsVetr.is – Privacy-First Cloud in Iceland
Hey HN! I built vetr.is, a cloud hosting in Iceland focused on privacy and renewable energy. *What it offers:* - Iceland location with 100% renewable energy - AMD Ryzen CPUs + NVMe storage - Hourly billing, no contracts - Price-locked subscriptions - Tor-friendly interface *Pricing:* Starting at €5/month for 1 CPU, 0.5GB RAM, 10GB storage. Pay only for what you use. https://vetr.is Happy to answer questions!
Share cardActual performance
6points
2comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released60%60% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, friendly, interface · Missing: plus, platform, intuitive43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal38%38% 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, revenue18%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, crypto3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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