Proof of Usefulness Report
PC Workman near out of Alpha - Real-time system monitor, learning after time your PC.
Analysis completed on 5/27/2026
+58
Proof of Usefulness Score
You're In Business
The project solves a clear pain point for PC users but operates in a highly competitive system optimization market. It demonstrates promising build-in-public engagement, especially on LinkedIn and Dev.to, but current traction is minimal with only ~270 downloads and 55 GitHub stars. The technical integration of an LLM (hck_GPT) with system management (WMI) features adds novelty to a traditional GUI app.
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Score Breakdown
Real World Utility+17.5
Audience Reach Impact+8.0
Technical Innovation+9.0
Evidence Of Traction+7.5
Market Timing Relevance+5.0
Functional Completeness+3.75
Subtotal+50.75
Usefulness Multiplierx1.15
Final Score+58
Project Details
Project URL
Description
10 Months of build-in-public, real-time system monitor that explains WHY your PC is slow, not just that it's slow.
It learning your natural spikes of voltage/temperatures and many others, it also knows you don't stop playing Leauge Of Legends!
Its a central for opimizing your PC (turning off most of useless services, apps like cortana or others, magnaging your Apps who wake up with Windows, Fan Control)
My own hck_GPT inside from months, you can ask about any parameter(like HWMonitor).
Audience Reach
Near 5-30k views weekly, literally about PC Workman tiny wins and fails.
LinkedIn (last 90 days - 65 955 views, people reach 39 299, 516 reactions, 2501 followers)
https://www.linkedin.com/in/marcinfirmuga/
GitHub (55 stars, >270 commits with comments, ~270 downloads on SourceForge and GitHub, active discussions and total 34 issues)
https://github.com/HuckleR2003/PC_Workman_HCK
Loves writing on HackerNoon <3
Medium - 225 followers, >24 articles.
Dev to - >2500 followers, 20 guides/articles/code show.
X - 165 followers
@hck_lab
Target Users
Its for people who care about their PC / Laptop / Battery.
For oldier and newest hardwares.
When you work, when you in gaming or just rendering something.
You can easy optimize your PC, configure features one time and then just turn all them ON by clicking "TURBO MODE" on Main Dashboard.
E.x. one feature:
Services inside Optimization Center are set on Economy Mode.
Turbo Mode remembers that, remembers what you set and just keep your performance.
No noise, no spam, only important situations or suspected voltages/temps/others alerts :)
It also improved by checking auth of process, by Company, verify and others.
Technologies
Other, Python, SQLite, tkinter, WMI, Sigstore
Traction Evidence
Everything what I made, with what I have trouble or just everything what I want to do in my PC Workman, is fully build-in-public.
From two months I got my series format, what helps me wake up community for help and shape PC Workman and hck_GPT (inside).
On X, Linkedin (and sometimes I write article) I have:
- Monday Grind Blueprint (it's a plan to do for Friday)
- Wednesday Code Autopsy (I showing a best (not boring :) ) part of my real code, and explain how it works)
- Friday Shipped & Scarred (What I do, with what I have trouble. Or what I don't do what I said on monday (sometimes becouse I trying to sync, programming after shifts)
And I write a lot of story about shaping and make my PC Workman.
LinkedIn (last 90 days - 65 955 views, people reach 39 299, 516 reactions, 2501 followers)
https://www.linkedin.com/in/marcinfirmuga/
GitHub (55 stars, >270 commits with comments, ~270 downloads on SourceForge and GitHub, active discussions and total 34 issues)
https://github.com/HuckleR2003/PC_Workman_HCK
Loves writing on HackerNoon <3
Medium - 225 followers, >24 articles.
Dev to - >2500 followers, 20 guides/articles/code show.
X - 165 followers
@hck_lab
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