Proof of Usefulness Report

Assystant

Analysis completed on 1/14/2026

+285
Proof of Usefulness Score
Gaining Momentum

Assystant (assystant.com) is a verifiable software consulting firm established in 2014 with 10-50 employees and offices in India, Germany, and the USA. While the company demonstrates stability and legitimate business operations, the project submission suffers from significant hyperbole. Claims that 'most people have used my product' and an audience reach of 'everyone' are factually incorrect for a B2B service provider with niche clientele (e.g., specific legal and translation firms). The input data quality was poor (e.g., 'all time marketcap: null'). The score reflects a stable, established small business (comparable to the calibration tier) but is penalized for exaggerated reach and traction claims.

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+16
Audience Reach Impact+1
Technical Innovation+5
Evidence Of Traction+5
Market Timing Relevance+5
Functional Completeness+1
Subtotal+33
Usefulness Multiplierx0.85
Final Score+284

Project Details

Project URL
Description
Assystant is a software consulting and services company. We differentiate ourselves by building strategic partnerships with our clients to create next-generation human-centric digital experiences. We work with growth-seeking businesses across the Americas, Europe, MENA, and APAC regions.
Audience Reach
everyone
Target Users
everyone
Technologies
Software Development, It Services, Business Development
Traction Evidence
most people have used my product

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