ClusterK – EC2 AWS spot orchestration service

Hacker News

Dear startups, We've recently launched our service that helps deploy capacity across AWS EC2 spot to provide high availability and up to 90% discount on compute. Magic happens by us predicting spot prices and distributing capacity across dozens of uncorrelated Spot auctions to limit exposure to possible price spikes. As serial entrepreneurs we know first hand how important it is to iterate quickly and reducing the compute cost is one of the ways to approach it. If your company's AWS bill is significant (>$10k/month) and you have an interesting use case that we can discuss - we'd be happy to offer a free trial access to our service for up to 6 months. Our current use cases from private beta include web-tiers, Hadoop, Spark, Mesos tiers, and HPC workloads (Bioinformatics, rendering). Feel free to post your questions here or reach out to us directly (and please mention that you're from HN). Best, Dmitry http://www.clusterk.com (http://venturebeat.com/2015/02/19/clusterk/)

Visit product View on Hacker NewsFeb 24, 2015

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

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

TrustMRRLess likely to generate early MRR · Strong signals: entrepreneurs, month, way · Missing: mobile apps, ios, personal

48%48% 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

35%35% predicted probability of success on AppSumo, 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 · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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