Roger's Cable JavaScript Injection

Hacker News

# <head> # <noscript><meta http-equiv="refresh" content="0;URL=http://64.71.251.10/noscript.pl?policy=55&category=ByteCap-075&"></noscript> # <script type="text/javascript">var version=2; var webServer="http://64.71.251.10";</script> # <script type="text/javascript" src="http://64.71.251.10/ByteCap-075-EX-English/index.js"></script> # <style type="text/css"></style><script type="text/javascript" src="http://64.71.251.10/manager.js"></script> # <script type="text/javascript" src="http://64.71.251.10/bulletin.js"></script> # <link rel="stylesheet" type="text/css" href="http://64.71.251.10/default.css"> # </head> ### http://64.71.251.10/ByteCap-075-EX-English/index.js document.writeln('<script type="text/javascript" src="' + (webServer) + '/manager.js"></script>'); function Bulletin(tags) { if (nesting(tags)) return; setCSS("default.css"); closeMode = 2; bgv_tier = "Extreme Plus"; bgv_lang = "English"; bgv_rate = "75"; bgv_cap = "150"; bgv_cost = "1.25"; bgv_max = "100.00"; document.open(); document.writeln(' <DIV style="visibility:hidden;" id="bdiv">'); document.writeln(' <TABLE class="tableresults2">'); document.writeln(' <TR>'); document.writeln(' <TD align="left" class="rogers4"><img src=\'' + (webServer + webFilesDir) + 'Rogers.jpg\' alt="Logo"></TD>'); document.writeln(' </TR>'); document.writeln(' <TR>'); ... full thing here http://pastebin.com/G67vSaZx

Visit product View on Hacker NewsApr 18, 2013

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

50%50% 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.

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

42%42% 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

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: plus · Missing: platform, intuitive, reviews

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

28%28% 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

22%22% 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

14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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