Match Your
Startup With The
Right Investor
97% Accuracy
Match Score
2.4K+
Founders
By the Numbers
28M+
Data Points Analyzed
Across all projects
10,000
Investor Profiles
Verified & updated
97%
Match Accuracy
Validated outcomes
10+
Founders Matched
Real-time matching
Three Agents.
One Precise Match.
01
Submit Your Project
Paste your GitHub URL — the Analysis Agent fetches your README, codebase metadata, and project signals in seconds.
02
AI Deep Analysis
Claude 3.5 Sonnet identifies your problem, solution, tech stack, business category, and growth stage.
03
Strategic Scoring
Llama 3.1 scores your project against investor databases 0–100 with full human-readable reasoning.
Intelligence in Action
A real-time look at how our AI agents analyze projects and align them with the global capital market.
Multi-Agent Pipeline
Five intelligent layers working in sequence to deliver precisely ranked investor matches in under 30 seconds.
01
Submit GitHub URL
Drop your project link. The ingestion layer fetches all public metadata, README, commits, and language signatures.
02
Analysis Agent Runs
Claude processes your project end-to-end, extracting problem, solution, tech stack, and stage classification.
03
Matching + Scoring
Llama cross-references 346K+ investor profiles, scores alignment 0–100, and writes per-investor rationale.
04
Real-Time Results
Convex streams your ranked matches live. No page refresh, no delay — investor introductions in minutes.