README.md

metadata

title: VC Deal Flow Signal — Interactive Explorer
emoji: 📊
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 5.40.0
app_file: app.py
pinned: true
license: mit
short_description: GitHub velocity dashboard for 55 venture-backed startups
tags:
  - venture-capital
  - github
  - alternative-data
  - dashboard
  - panel-data
  - finance
  - startups
datasets:
  - the-data-nerd/vc-deal-flow-signal

📊 VC Deal Flow Signal — Interactive Explorer

A Gradio dashboard built on the live public dataset the-data-nerd/vc-deal-flow-signal — engineering-velocity signals across ~55 venture-backed startups in 20 sectors, four quarters of GitHub data.

Why this exists. Sustained engineering acceleration on GitHub tends to lead fundraise announcements by 6–12 weeks. The dataset is the panel; this Space is the lens.

What you can do here

Tab	Use it for
Overview	KPI strip, signal-type composition by quarter, latest top-10 movers
Sector heatmap	Sector × Quarter average commit velocity — spot sector rotations
Top movers	Filter on quarter, sector, stage, signal type — rank by Δ commit velocity
Startup drilldown	Pick a startup, see its four-quarter trajectory and latest classification
Methodology & cite	Hypothesis, classifier rules, BibTeX, Zenodo / SSRN / Kaggle / MCP links

Data lineage

• Source: GitHub REST API v3, sampled on a 14-day rolling window
• Classifier: open-source MIT — github.com/kindrat86/gitdealflow-signal-classifier
• Methodology preprint: SSRN 6606558
• Concept DOI: 10.5281/zenodo.19650919
• Version DOI (v1.0.0): 10.5281/zenodo.19650920

Companion artefacts

• Chat-agent Space (DeepSeek + MCP): huggingface.co/spaces/the-data-nerd/vc-deal-flow-deepseek
• Production web app: signals.gitdealflow.com
• Public MCP server: signals.gitdealflow.com/api/mcp/rpc

Run it locally

git clone https://huggingface.co/spaces/the-data-nerd/vc-deal-flow-explorer
cd vc-deal-flow-explorer
pip install -r requirements.txt
python app.py

License

• Code (this Space): MIT
• Data (the underlying dataset): CC-BY-4.0

Past acceleration does not guarantee future outcomes. This is alternative-data research, not investment advice.