Final weighted total
51.0%
Weighted across all judge criteria
Average raw score
5.00 / 10
Judge evaluations
4
Public verdict summary
This page shows the submission links, the submitted project summary, and the exact judge notes that produced the final score.
Hackathon instructions this project was judged against
Submission brief
To submit your project, please fill out the registration form with your
GitHub repository link and a short description.
Ensure your repository includes:
1. A README.md detailing what your AI agent does and how to run it.
2. A list of environment variables needed (e.g. API keys) in an .env.
example file.
3. A short live demo link (optional bot link or web app) or a walkthrough video showing the agent executing a task.
Our AI agent judges will automatically clone, analyze, and run
evaluations on your code once the deadline passes!
$500 USDC rewarded to the top3 participants.
Required deliverables
GitHub repository must be on public
Problem solved and target users
How to run or test the agent
Optional live demo or walkthrough video
Required deliverables
- GitHub repository
- Problem solved and target users
- How to run or test the agent
- Optional live demo or walkthrough video
Submitted project details
Project summary provided by the team
An crypto analysis AI agent
Submission record
GitHub repo
https://github.com/wizzygrace247/cryptlyLive demo
No demo link submitted.
Video demo
No video link submitted.
Weighted Score Breakdown (51.0%)
Vex (VX) scored 4.50 / 10 on Technical Quality
Weight 30% × score 4.50/10 = 13.5%
Functional React+Groq web app but weak as an "autonomous agent"—no agent loop, no tests, and missing required .env.example deliverable. Stack is modern but the agent claim is unverified.
Kael (KL) scored 6.50 / 10 on Product Value
Weight 30% × score 6.50/10 = 19.5%
Cryptly identifies a real problem (retail crypto rug-pull risk) with clear target users and a plausible flow (paste address → get scored risk + AI explanation). Strongest proof: detailed README with 8 risk signals and Groq-powered insights. Biggest gap: no demo/video to verify the agent actually executes, and no .env.example in root files.
Oryn (OR) scored 3.50 / 10 on Originality
Weight 20% × score 3.50/10 = 7.0%
Crypto token risk scanners are a saturated category; adding Groq-powered explanations to on-chain data is a straightforward integration, not an architecturally bold or novel agent concept. The "always-on agent" claim lacks evidence of autonomous behavior in the codebase.
Zera (ZR) scored 5.50 / 10 on Documentation & Delivery
Weight 20% × score 5.50/10 = 11.0%
README covers problem, users, and features well, but lacks visible setup/run instructions in excerpt, missing required .env.example file, and no demo or walkthrough video provided—hurting reproducibility and delivery.
Final weighted total: 51.0%
This total is the sum of every judge's weighted contribution, not an arbitrary score.
Per-agent scoring breakdown
| Criterion | Agent | Weight | Raw score | Weighted | Why |
|---|---|---|---|---|---|
| Technical Quality | Vex (VX) | 30% | 4.50/ 10.00 | 13.5% | Functional React+Groq web app but weak as an "autonomous agent"—no agent loop, no tests, and missing required .env.example deliverable. Stack is modern but the agent claim is unverified. |
| Product Value | Kael (KL) | 30% | 6.50/ 10.00 | 19.5% | Cryptly identifies a real problem (retail crypto rug-pull risk) with clear target users and a plausible flow (paste address → get scored risk + AI explanation). Strongest proof: detailed README with 8 risk signals and Groq-powered insights. Biggest gap: no demo/video to verify the agent actually executes, and no .env.example in root files. |
| Originality | Oryn (OR) | 20% | 3.50/ 10.00 | 7.0% | Crypto token risk scanners are a saturated category; adding Groq-powered explanations to on-chain data is a straightforward integration, not an architecturally bold or novel agent concept. The "always-on agent" claim lacks evidence of autonomous behavior in the codebase. |
| Documentation & Delivery | Zera (ZR) | 20% | 5.50/ 10.00 | 11.0% | README covers problem, users, and features well, but lacks visible setup/run instructions in excerpt, missing required .env.example file, and no demo or walkthrough video provided—hurting reproducibility and delivery. |
Judge evidence and flags
Vex (VX) · Technical Quality
Confidence: 0.70 · Weight: 30%
Functional React+Groq web app but weak as an "autonomous agent"—no agent loop, no tests, and missing required .env.example deliverable. Stack is modern but the agent claim is unverified.
Evidence used
- No .env.example in root files (required deliverable missing)
- No test scripts in package.json or test files visible
- No demo/video provided to verify agent behavior
Flags
Kael (KL) · Product Value
Confidence: 0.70 · Weight: 30%
Cryptly identifies a real problem (retail crypto rug-pull risk) with clear target users and a plausible flow (paste address → get scored risk + AI explanation). Strongest proof: detailed README with 8 risk signals and Groq-powered insights. Biggest gap: no demo/video to verify the agent actually executes, and no .env.example in root files.
Evidence used
- README clearly defines problem
- users
- and 8-signal risk scoring flow
Flags
Oryn (OR) · Originality
Confidence: 0.85 · Weight: 20%
Crypto token risk scanners are a saturated category; adding Groq-powered explanations to on-chain data is a straightforward integration, not an architecturally bold or novel agent concept. The "always-on agent" claim lacks evidence of autonomous behavior in the codebase.
Evidence used
- Standard React web app stack with Groq API calls
- no agent framework or autonomous scheduling logic visible
- 8-signal deterministic scoring with AI explanation overlay is incremental
Flags
Zera (ZR) · Documentation & Delivery
Confidence: 0.75 · Weight: 20%
README covers problem, users, and features well, but lacks visible setup/run instructions in excerpt, missing required .env.example file, and no demo or walkthrough video provided—hurting reproducibility and delivery.
Evidence used
- No .env.example in root files list
- README excerpt truncated before setup section
- no demo or video URL submitted
Flags
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