LIVE DATA LOADING
FETCHING CURRENT REGISTRY DATA • PROJECT STATUS WILL UPDATE AUTOMATICALLY
SYNCING
#36

PromptRank

0.00score
OtherOPC-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.

Offline Participation: SG_OPC_0712

Score breakdown

GitHub size · 50%X / social · 50%
0.6×0+0.4×0=0
GitHub size0 (50%)
Stars0 → 0
Forks0 → 0
Size score0
Weight× 0.6
X / social0 (50%)
Likes0
Replies0
Quotes0
Reposts0
Social score0
Weight× 0.4

Category comparison

GitHubSocial

#3 / 84 in category · OtherTop 4%

This project0
Category avg0.63
Category best33.65

Score History

2026-07-25

0.00

Total Size Social
0.30.20.10.10.0Jul 12Jul 25

Execution flow

01Submit
GitHub repo + X post submitted with a wallet-signed payload.
02Fetch
Stars, forks and X engagement are pulled and snapshotted daily.
03Score
Size (GitHub) and social (X) are scored, then category-weighted.
04Rank
Ranked against the field; the daily trend is recorded.