Proof of Usefulness Report

URLert

Analysis completed on 5/27/2026

+55

Proof of Usefulness Score

You're In Business

URLert provides strong real-world utility by addressing phishing and malicious links using a combination of heuristics and LLM analysis. The technical stack is practical, and the market timing is highly relevant given the rising volume of sophisticated web threats. However, with 10,000 unique monthly visitors and early-stage traction metrics, the project strictly falls into the 'minimal traction' (<50K users) calibration tier. The score reflects a promising early-stage tool that needs broader adoption to scale its real-world impact.

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Score Breakdown

Real World Utility+20

Audience Reach Impact+5

Technical Innovation+10

Evidence Of Traction+5

Market Timing Relevance+6

Functional Completeness+4

Subtotal+50

Usefulness Multiplierx1.1

Final Score+55

Project Details

Project URL

urlert.com/

Description

URLert is an automated security scanner that instantly determines if a website is malicious without requiring human intervention. By combining targeted heuristic checks with real-time LLM analysis, it cuts through the noise to deliver rapid, deep-dive forensic insights on suspicious links. Built for speed and high utility, it provides immediate web safety for everyday users while offering a scalable footprint for security operations.

Audience Reach

URLert receives 10,000+ unique monthly visitors, driven by organic search, word-of-mouth, and a small Google Ads campaign for link-safety keywords. This traffic translates to thousands of active website scans per month via our web portal and Chrome browser extension.

Target Users

URLert is built for everyday internet users who need an automated, reliable way to check if a suspicious link is malicious before clicking. It also serves security researchers and IT operations looking for rapid, hands-off forensic analysis on potential threats, which can be fully integrated into their workflows via our API.

Technologies

Other, Python, FastAPI, MongoDB, Redis, Gemini AI, Google Cloud.

Traction Evidence

https://chromewebstore.google.com/detail/urlert-guard/jnimjhkmepkhbkpjajbkenmmdcmlgcfj https://www.reddit.com/r/cybersecurity/comments/1ruz9e4/is_there_any_free_and_reliable_tools_to_scan/ https://www.reddit.com/r/cybersecurity/comments/1inhpk7/website_safety_checker_tools/ https://www.linkedin.com/posts/guilherme-ti_check-any-link-for-scams-malicious-content-activity-7432106674041061377-xjDm/ https://otx.alienvault.com/user/urlert_intel/

Algorithm Insights

Market Position

Growing utility with room for optimization

User Engagement

Documented reach suggests active user community

Technical Stack

Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline