AW

AWS Pricing Add-On for Google Sheets

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AWS Pricing Add-On for Google Sheets

As part of our larger effort at Strake ( https://getstrake.com ) to make cloud cost problems more tractable for the people that can actually solve them, software devs, we're launching a Google Sheets add-on that lets you include AWS pricing in your formulas. The add-on is a new version of the open source project originally created by Mike Heffner ( https://github.com/mheffner ) and we've taken it over with his blessing. The new version is also open source, see: https://github.com/getstrake/aws-pricing-sheets-addon This is a soft launch and we'd love some feedback. Our goal is to support more AWS services soon and more clouds in the future. We hope it makes life just a little bit easier when tackling your cloud spend.

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, new, open · Missing: mac, agents, macos
72%72% 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 NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting
40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive
22%22% 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
19%19% 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.

Incorrect prediction on native model

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