Ze

Zero Trust Security Assessment

Hacker News

Zero Trust Security Assessment

Hey HN! I want to share a project I've been working on, a Zero Trust Assessment Tool. It's designed to provide insights into your identity and device security framework. It incorporates data on user authentication and device management practices to generate a rating based on the CISA Zero Trust Maturity Model. Key Features: -Comprehensive analysis of identity and device-related factors -Recommendations for enhancing your security environment I'd love for you to give it a try and get some feedback. Thanks!

Visit product View on Hacker NewsNov 14, 2023

Actual performance

12points

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: model, user · Missing: mac, agents, macos

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

55%55% 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: ide, 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.

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

35%35% 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

22%22% 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

15%15% 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.

Incorrect prediction on native model

Similar products

“Zero Trust” Platform for Researchers51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

“Zero Trust” Platform for Researchers

API Security Assessment Tool47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

API Security Assessment Tool

Scalefusion OneIdP58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zero Trust Access

Indie Hackerscommitment-full-time

PrivacyScrubber24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Client-Side Zero-Trust PII Sanitizer for AI

Pontus the Zero Trust AI Layer57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pontus the Zero Trust AI Layer

Phisherman51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zero-trust email security for remote workers & teams.

Indie Hackers1ai

Gibson ADK and Zero Trust Runtime65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gibson ADK and Zero Trust Runtime

QuickZTNA35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zero Trust security for modern remote teams

Indie Hackerscommitment-full-time

Ben Horowitz “Who Do You Trust” with Navigable Narration42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ben Horowitz “Who Do You Trust” with Navigable Narration

GenosDB37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Distributed P2P Graph Database + Zero-Trust Security Model

Indie Hackers1ai

Browse all products Analyze your launch