Proof of Usefulness Report

Slick Search

Analysis completed on 7/18/2026

+81

Proof of Usefulness Score

You're In Business

Slick Search demonstrates impressive technical ambition by building an independent web index, semantic retrieval systems, and local-first ranking configurations. However, with only 170 unique users and 1,100 searches processed to date, it falls strictly into the 'minimal traction' category. The strong market relevance for privacy-focused search and clear utility provide a solid foundation, but the project requires significant user adoption and infrastructure scaling to achieve a higher score.

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Score Breakdown

Real World Utility+30.00

Audience Reach Impact+2.00

Technical Innovation+31.50

Evidence Of Traction+3.75

Market Timing Relevance+12.00

Functional Completeness+6.00

Subtotal+85.25

Usefulness Multiplierx0.95

Final Score+81

Project Details

Project URL

slicksearchhq.com/

Description

Slick is an independent, privacy-focused search engine that gives users direct control over how search results are ranked. Instead of relying on a fixed algorithm or server-side profiling, Slick lets users boost or block domains, pin results, create custom search recipes, and personalize ranking locally on their device. Built around its own continuously growing web index, Slick combines semantic retrieval, modern reranking techniques, and traditional search to deliver fast, customizable web search while respecting user privacy.

Audience Reach

Since launch, Slick has processed over 1,100 searches from more than 170 unique users. Users actively perform web, image, news, and video searches through Slick each day, with adoption driven by Reddit, Hacker News, and organic discovery within privacy and search communities. Usage continues to grow as the independent index expands and new features are released.

Target Users

Privacy-conscious users, people looking for alternatives to Google, researchers, developers, students, and technology enthusiasts who want greater control over search. Slick is designed for users who value independent search infrastructure, transparent customization, and local-first personalization instead of behavioral profiling.

Technologies

Other, Node.js, Express, Python, FastAPI, Elasticsearch, Docker, Playwright, Redis, MongoDB, Sentence Transformers, Cross-Encoder reranking, BM25, Reciprocal Rank Fusion (RRF), Semantic Search, Linux

Traction Evidence

• Processed more than 1,100 searches from over 170 unique users shortly after launch. • 33,000+ views on Reddit (r/InternetIsBeautiful). • 2,800+ views on Reddit (r/browsers). • Featured on Hacker News: https://news.ycombinator.com/item?id=48225919 • Independent search engine with its own continuously growing web index supporting web, image, news, and video search. • Privacy-focused architecture with local-only personalization and customizable ranking. • Active development with continuous feature releases, infrastructure improvements, and expanding search coverage.

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