Check if a Domain is common or sketchy

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PS C:\> Invoke-Sqlcmd -Query "sp_select_from_domains_where_domain_starts_with 'amIevil';" -ServerInstance " infosecrockstars.eastus2.cloudapp.azure.com ,443" -username "readonlyuser" -password "twitter" rank, domain ---- ------ 28193044, amievil-graphicnovel.com 2611848, amievil.com 37416981, amievil.myblog.de 143664338, amievillegas716.joomla.com 160676189, amievilmovie.com 196148720, amievilt.com PS C:\> Invoke-Sqlcmd -Query "sp_select_from_domains_where_domain_equals 'cnn.com';" -ServerInstance "infosecrockstars.eastus2.cloud app.azure.com,443" -username "readonlyuser" -password "twitter" rank, domain ---- ------ 66, cnn.com These 2 stored procedures query a table with a Billion domains in it.

Visit product View on Hacker NewsJun 18, 2020

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Did not reach leaderboard

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

40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, 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

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

32%32% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

19%19% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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a toy to see what the world has in common

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