Taz33m/codex-demo-day-arena
Product-foundry control plane for AI coding agents: validator gates, buyer scoring, compute allocation, and Demo Day-style investment decisions across startup product candidates. Next step would be in automating outreach to get real PMF validation and iterate from there.
SUMMARY AI summary by gpt-5-mini
Codex Demo Day Arena is a control-plane for evaluating AI-built product candidates like a venture portfolio. It orchestras repo-owner agents, maturity validators, synthetic buyer-usefulness judges, a compute-allocation policy, proof prioritization, and IC-style stopping rules to decide which candidates merit further compute or external validation. Who uses it: product-foundry operators, repo-owner agents, evaluators and researchers building governance for agentic product pipelines. Key features: - Validator gates enforcing structural readiness (demos, tests, artifacts). - Buyer-usefulness rubrics producing plausibility scores and recommendations. - Compute allocator that funds rounds only when DeltaInvestmentBelief > cost+risk. - Proof prioritizer that ranks “proof-now” candidates and enforces external-proof before investment. - Public control-plane artifacts: policies, prompts, scripts, sanitized examples, and a technical paper. Core result: 20 candidates assessed, 20 structurally ready, 19 buyer-compelling, 0 investment-grade proofs.
GitHub Topics
Language breakdown (by bytes)
Why this is classified AI-related
The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology
Total AI relevance score: 100 / 100
Position among AI repos in the same language
We track 12,475 Python repos, of which 9,636 score 40 or above on AI relevance. 2,088 have more stars than this one (top 16.7%), and 0 score higher (top 0.0%).
Owner
all abt maximizing p&l
Dates
| Created on GitHub | 2026-05-13 |
| Last push | 2026-05-13 |
| First seen here | 2026-05-13 |
| Last fetched | 2026-08-18 16:23 |
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