Proof of Usefulness Report

Stacksmith

Analysis completed on 1/21/2026

+46
Proof of Usefulness Score
You're In Business

Stacksmith is a hands-on educational workbench for learning data structures and algorithms, created by a Senior Software Engineer. While the project offers clear utility for its niche audience by prioritizing practical application over theory, it is currently in a very early 'proof of concept' stage. There is minimal evidence of audience reach or traction beyond a personal network. The technical implementation (Go, TypeScript, OpenAI) is competent but standard. The score reflects a high-quality personal project that has not yet demonstrated market scale or significant adoption.

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Score Breakdown

Real World Utility+16.25
Audience Reach Impact+2.00
Technical Innovation+7.50
Evidence Of Traction+6.25
Market Timing Relevance+5.00
Functional Completeness+4.00
Subtotal+41
Usefulness Multiplierx1.12
Final Score+46

Project Details

Project URL
github.com/Joachimzeelmaekers/stacksmith
Description
Stacksmith is a small, hands-on workbench for learning data structures and algorithms by example. You can run exercises and race algorithms (e.g., linear vs. binary search) in Go and TypeScript to see performance differences in practice. It’s designed as a practical tool to help developers explore and internalize algorithmic concepts through doing, rather than just reading theory.
Audience Reach
It's a recent project, so for now I don't really have any details on this.
Target Users
Anyone from people starting their coding journey, to people trying to make their skills better
Technologies
Other, golang, typescript, openAI API
Traction Evidence
https://www.linkedin.com/feed/update/urn:li:activity:7414206670257541120/

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