Save 35% on your AWS bills

Hacker News

Hi Hacker News community! I've been spending my coronavirus time putting together a better way for companies to take back control of their AWS spend. Our earliest customers have seen savings between 30-40% on their monthly AWS bills! I sent a special deal to companies in YC but also decided to share it with the wider HN community. Let me know what you think! Link: https://www.usage.ai/ Demo: https://www.loom.com/share/8f103144a9244ab4a54206a92761a822 To redeem your free first 30 days, please fill out this (very) short form: https://forms.gle/BQpb3nNX7UcvCf5V6

Visit product View on Hacker NewsJun 10, 2020

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

60%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.

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

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

37%37% 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

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

20%20% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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