Etoole – The etools social network

Hacker News

http://etoole.com/en/ Hi HN, We are launching etoole, a community focus on etools. Our goal is connect professionals based on the tools they use. Help in the search of what we call "The Flow": The productivity momentum. Our hypothesis: Internet is plenty of great tools that many people do not even know them. We want to help developers to gain visibility and professional be more productive. Our solutions: Create a space where we can share our “toolbox”. Comment pros and cons. Discover new tools based on recommendations of professional like you. Own your space where collect tools. Share knowledge and master etools. If you have time check it and feel free to share your thoughts. Reviews are welcome. Thanks etoole.com

Visit product View on Hacker NewsMay 7, 2015

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos

34%34% 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

24%24% 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 · 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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