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Usage AI: We reduce your AWS bill by 45%

Hacker News

Usage AI: We reduce your AWS bill by 45%

Hello Hacker News Community, My name's Kaveh, the founder of Usage AI. I've been spending my lockdown time working on Usage AI - a platform that analyses and automatically finds savings. We recently helped an Amazon-backed company find a 47% reduction on their AWS bill (email me for the case study). We're in beta and are selecting a few good customers to launch pilots with. If you're looking to test our platform and find savings, you can email me at kaveh@usage.ai or by visiting our website. Looking forward to hearing your thoughts! https://www.usage.ai/

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74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Strong signals: hacker news, io · Missing: https docs, excited, just released
49%49% 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 · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
27%27% 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
18%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, crypto
9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

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