+40
Proof of Usefulness Score
You're In Business
ComLab is a functional hackathon MVP addressing a valid problem in feedback prioritization using LLMs and graph databases. While the technical approach is modern and the problem-solution fit is logical, the project is in a very early prototype stage with minimal reach and no established user base or revenue. The score reflects its status as a promising developer tool that has not yet demonstrated market traction or scaled utility.
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Score Breakdown
Real World Utility+15
Audience Reach Impact+1
Technical Innovation+8
Evidence Of Traction+2
Market Timing Relevance+7
Functional Completeness+4
Subtotal+38
Usefulness Multiplierx1.05
Final Score+40
Project Details
Project URL
Description
ComLab turns user feedback into actionable tickets for product teams and open-source maintainers. It uses LLM-powered prioritization and summarization to speed up triage, and includes upvoting so the highest-value requests rise to the top.
Audience Reach
ComLab is currently an early-stage hackathon MVP in public beta. Current reach is primarily hackathon judges/participants plus early testers discovering the live demo, Devpost submission, and GitHub repo. As traction grows, I plan to onboard open-source maintainers and indie teams who need a lightweight feedback/triage pipeline
Target Users
ComLab is for product teams, indie developers, and open-source maintainers who want cleaner, more actionable user feedback. It’s also for non-technical end users—people who can’t easily use GitHub Issues—so they can submit bugs/feature requests with screenshots, upvote what matters, and help prioritize what gets built next.
Technologies
Bright Data, Other, Neo4j
Traction Evidence
https://comlab.aadittalele.com
https://github.com/aadittalele/comlab_app
https://devpost.com/software/comlab-an1uem
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