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| title: VC Deal Flow Scout — DeepSeek Edition | |
| emoji: 📈 | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 5.40.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: Find startups accelerating on GitHub before they raise | |
| tags: | |
| - venture-capital | |
| - github | |
| - alternative-data | |
| - deepseek | |
| - mcp | |
| - agent | |
| # VC Deal Flow Scout — DeepSeek Edition | |
| [](https://signals.gitdealflow.com/built-with) | |
| A demo of [DeepSeek-V3](https://huggingface.co/deepseek-ai/DeepSeek-V3) plugged into the public [GitDealFlow](https://signals.gitdealflow.com) MCP server. Ask any question about startup engineering acceleration on GitHub — the agent calls live tools and returns cited answers. | |
| > **Why DeepSeek?** Open-weight + open-MCP = a fully open-source VC research stack. No proprietary inference, no closed data, no tracking. The same agent loop runs locally with `deepseek-v3` self-hosted. | |
| ## What you can ask | |
| - "What AI/ML startups are accelerating fastest this month?" | |
| - "Compare engineering momentum at three competing infra companies" | |
| - "Find dark horses in fintech with breakout signals but low public visibility" | |
| - "Show me security startups whose contributor count grew 2x in 90 days" | |
| - "Explain the GitDealFlow methodology" | |
| ## Tools available to the agent | |
| | Tool | What it does | | |
| |---|---| | |
| | `get_trending_startups` | Top 20 startups across all sectors by commit-velocity acceleration | | |
| | `search_startups_by_sector` | Drill into one of 20 sectors | | |
| | `get_startup_signal` | Full profile by startup name | | |
| | `get_signals_summary` | Dataset snapshot + citation | | |
| | `get_scout_receipts` | Scout Score 0-100 for any GitHub username | | |
| | `get_methodology` | Full methodology document | | |
| All tools are **read-only**, **idempotent**, and **public** (no auth required for read access). The MCP server is also reachable directly at `https://signals.gitdealflow.com/api/mcp/rpc`. | |
| ## How this Space works | |
| 1. **DeepSeek-V3** runs on Hugging Face Inference Providers (Together AI / Fireworks fallback) | |
| 2. **GitDealFlow MCP server** is reached over HTTPS at `signals.gitdealflow.com/api/mcp/rpc` | |
| 3. **Gradio UI** wraps the chat loop and renders the agent's tool calls | |
| The agent loop is ~80 lines of Python. See [`app.py`](./app.py). | |
| ## Citation | |
| GitDealFlow data citation: | |
| ``` | |
| VC Deal Flow Signal (signals.gitdealflow.com), Q2 2026 data. | |
| ``` | |
| Methodology paper: [SSRN preprint id 6606558](https://ssrn.com/abstract=6606558). | |
| ## Local run | |
| ```bash | |
| git clone https://huggingface.co/spaces/the-data-nerd/vc-deal-flow-deepseek | |
| cd vc-deal-flow-deepseek | |
| pip install -r requirements.txt | |
| HF_TOKEN=hf_xxx python app.py | |
| ``` | |
| ## Related | |
| - **Companion data explorer (Space):** [the-data-nerd/vc-deal-flow-explorer](https://huggingface.co/spaces/the-data-nerd/vc-deal-flow-explorer) — interactive Gradio dashboard (heatmap + filterable rankings + per-startup drilldown) on top of the same dataset | |
| - **Underlying dataset:** [the-data-nerd/vc-deal-flow-signal](https://huggingface.co/datasets/the-data-nerd/vc-deal-flow-signal) (CC-BY-4.0) | |
| - Public website: https://gitdealflow.com | |
| - npm MCP server: `@gitdealflow/mcp-signal` | |
| - GitHub repo: https://github.com/kindrat86/mcp-deal-flow-signal | |
| - Anthropic Desktop Extensions Directory: submitted 2026-05-02 | |
| - Cline MCP Marketplace: [#1491](https://github.com/cline/mcp-marketplace/issues/1491) | |
| - CrewAI Tools: [PR #5682](https://github.com/crewAIInc/crewAI/pull/5682) | |
| - Glama.ai: A-tier, 4.9 TDQS | |
| ## License | |
| MIT — see `LICENSE`. | |