Bootstrapped Hosting company

Hacker News

This is some short information of how I bootstrapped my hosting company, pretty much an MVP of a hosting company. 1. Provide MINIMAL/NO support. No technical support is provided, all VPS plans and Web Hosting plans are unmanaged and provide only support on issues with services provided by us (billing, control panel) but nothing inside the VPS unless it is a fault on our end (network misconfiguration). 2. Automated setup. All VPSs are deployed instantly, (à la DigitalOcean) so no humans have to manually deploy them. END PRODUCT: https://definedcodehosting.com All payment is automatic via Stripe or Bitpay so the only human maintenance is checking the host node. Which is also automated, thanks Nagios!

Visit product View on Hacker NewsSep 5, 2014

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best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: stripe, code · Missing: mac, agents, macos

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Hacker NewsStrong engagement from HN community · Strong signals: ide, 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 · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs

38%38% 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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

20%20% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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