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#36

PromptRank

0.00
其他OPC-SG

PromptRank is an automated, simulation-driven assessment platform designed to verify an individual’s practical AI-collaboration and data-auditing literacy. Instead of relying on static multiple-choice questions or raw coding tests, PromptRank places candidates inside a live, multi-turn chat environment with an enterprise AI simulator that intentionally embeds contextual, logical, and structural flaws into its output. The system evaluates whether the candidate blindly trusts the AI or actively cross-checks, debugs, and calibrates the AI's work. Target Audience: - Enterprise Employers (e.g. tech firms, multinational corporations): To vet entry-level tech and data talent on their ability to work safely and productively with AI without deploying catastrophic errors. - Institutions & Training Providers (e.g. Polytechnics, Bootcamps): To baseline, track, and certify their graduating cohorts' actual industry readiness in an AI-native world. Current Product Surface: - The Landing & Pricing Interface: Sets clear B2B value anchors ($2,400/yr Institutional tier, matching real 2026 competitor landscapes). - The Multi-Turn Candidate Sandbox: A seamless split-pane testing environment supporting custom tracks (Software Engineer, Data Analyst) with live chat and resume integration. - The Individual Grading Report: A breakdown of individual performance displaying custom rubric scores and identifying precise skill gaps. - The Employer/Institution Dashboard (/employer-dashboard): An interactive macro-level view that aggregates cohort averages, filters candidates by track, computes pass/fail metrics, and identifies structural cohort weaknesses at a glance.

线下社交参与: SG_OPC_0712

分数拆解

GitHub 体量 · 50%X / 社交 · 50%
0.6×0+0.4×0=0
GitHub 体量0 (50%)
Stars0 → 0
Forks0 → 0
体量分0
权重× 0.6
X / 社交0 (50%)
点赞0
回复0
引用0
转发0
社交分0
权重× 0.4

同类对比

热度社交

#3 / 84 同类排名 · 其他 4%

本项目0
同类均值0.63
同类最高33.65

分数历史

2026-07-26

0.00

总分 体量 社交
0.30.20.10.10.07月12日7月26日

执行流程

01提交
提交 GitHub 仓库 + X 帖子,附钱包签名 payload。
02抓取
每日抓取 stars、forks 和 X 互动并记录快照。
03计分
分别算体量(GitHub)与社交(X)分,再按分类加权。
04排名
与全场对比排名;记录每日走势。