Proof of Usefulness Report

Caqui

Analysis completed on 3/19/2026

+49

Proof of Usefulness Score

You're In Business

Caqui offers a genuinely useful, unified API for web, mobile, and desktop automation, addressing a clear pain point for test engineers dealing with fragmented environments. However, its market traction is currently minimal, with roughly 71k total downloads over 3 years and ~2,000 monthly users. The Python test automation space is highly competitive, dominated by established tools like Selenium and Playwright. While the project demonstrates technical merit with its asynchronous capabilities and Bidi support, it requires significantly higher adoption, community growth, and detailed traction metrics to achieve a higher score.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility+17.5

Audience Reach Impact+4.0

Technical Innovation+9.75

Evidence Of Traction+6.25

Market Timing Relevance+5.0

Functional Completeness+1.25

Subtotal+43.75

Usefulness Multiplierx1.12

Final Score+49

Project Details

Project URL

github.com/douglasdcm/caqui

Description

Caqui is a Python library for browser, mobile, and desktop automation that works with any driver that exposes a WebDriver-style REST API or Chrome Devtools Protocol. It lets you send commands synchronously or asynchronously, and you don’t need to think about which underlying driver you’re using. Caqui is designed for developers who want a unified automation API.

Audience Reach

Approximately 2000 people reach the project by month. Caqui was downloaded by 71.83k in 3 years.

Target Users

Testers and developers who needs to automate hybrid tools that uses WEB, Mobile and/or Desktop interfaces.

Technologies

Other, Pure Python libraries

Traction Evidence

https://pepy.tech/projects/caqui?timeRange=threeMonths&category=version&includeCIDownloads=true&granularity=daily&viewType=line&versions=5.0.0rc6%2C5.0.0rc5%2C5.0.0rc4

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