VisionSec

VisionSec

TrustMRR

VisionSec is a ready-to-launch Digital Risk Protection (DRP) SaaS platform built for cybersecurity companies, MSSPs, and enterprise security teams. The platform continuously monitors external digital

VisionSec is a ready-to-launch Digital Risk Protection (DRP) SaaS platform built for cybersecurity companies, MSSPs, and enterprise security teams. The platform continuously monitors external digital threats and helps organizations detect phishing campaigns, brand abuse, leaked data, fake mobile apps, compromised domains, exposed databases, malicious social media activity, cryptocurrency scams, and other external attack vectors. Brand Protection Domain Monitoring Phishing Detection

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Actual performance

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: organizations · Missing: supports, reddit linkedin, podcasting
76%76% 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 · Strong signals: platform · Missing: plus, intuitive, reviews
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: mobile apps, apps · Missing: ios, personal, entrepreneurs
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: apps, activity · Missing: mac, agents, macos
25%25% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto, cryptocurrency · Missing: web3, chat, make money
24%24% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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