Yet another web hosting service, only cheaper and smarter

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A while ago I asked "Can cloud infrastructure become truly automatic?" in this HN post: https://news.ycombinator.com/item?id=19080186 I got mixed responses, but I was curious to try the idea. Imagine you wrote a simple project - NodeJS backend + database + frontend. How much effort and money would it take to get that project online? Many novice programmers like students wouldn't even know where to start. I created a new platform where you as a developer are not exposed to the underlying infrastructure at all. Instead you just upload your code and the platform does its magic to setup your application to run. Imagine a platform where you don't have to setup any low level details like servers, load-balancers, or DNS, but you still get fun tools like logs, analytics, metrics, CICD pipeline, and much more out of the box. To top that off, your application gets deployed in multiple servers around the world, so anyone can access your site from anywhere with the same speed. There is a very early beta version that you can check out right now. Docs here: https://plugins.quadnix.com/docs/introduction.html Do you have a project that you want to get online? Have feedback / questions? Please reach out.

Visit product View on Hacker NewsFeb 22, 2020

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

87%87% 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.

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

62%62% 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: platform, host · Missing: plus, intuitive, reviews

61%61% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · 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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