Protectumus – Website Security and Performance, WAF, Antivirus

Hacker News

PROTECTUMUS is a Website Security & Performance provider that combines AI and Machine Learning to detect attacks, protect against malware and recover in case of being hacked. Protectumus monitors the website uptime, speed, dns changes, scans the website for malware like a traditional antivirus, blocks bad bots, custom IP's and countries. Protectumos acts as a Firewall. We are the only security company specialized in SEO Security, we offer unique SEO services such as Search engines Cloaking monitoring, Google DMCA Complaints, Blacklist monitoring & removal and more. With us you will: - Gain Trust & Respect - Save Money - Boost Sales I prepared a 100% discount coupon, when you register use this coupon code: 193AE710F68353B8C17774D73BE52466 Website address: https://protectumus.com For any sale questions or partnerships write me at: sales@protectumus.com

Visit product View on Hacker NewsOct 24, 2018

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Actual performance

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Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

85%85% 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: mac, google, code · Missing: agents, macos, agent

46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

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

11%11% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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