Tacto Hackathon¶
Original OneNote page: Events - Tacto Hackathon
Route: event note
Categories: events, programs_funding
Source¶
- Word export:
C:\Users\adeel\OneDrive\100_Knowledge\203_TextCAD\01_Product_Project_Management\TextCAD_Wiki\inbox\onenoteexport\01_PROJECTS\Gauss Compute\Events - Tacto Hackathon.docx - MHT export:
C:\Users\adeel\OneDrive\100_Knowledge\203_TextCAD\01_Product_Project_Management\TextCAD_Wiki\inbox\onenoteexport\01_PROJECTS\Gauss Compute\Events - Tacto Hackathon.mht
Extracted Notes¶
These notes are extracted from the Word export so the source is visible in the wiki without moving or deleting the original file.
- Technical Complexity (C, 1–5)
- Integration Load (I, 1–5)
- ODI = 0.5C + 0.3I + 0.2N
- Mockable Data / Simulatable (0–10)
- Demo Visuality (0–10)
- Model/API Readiness (0–10)
- Team Skill Match (0–10)*
- HRI = (10 − ODI) + Mock + Visual + Model + Skill
- Live Negotiation Assistant
- (10−4.6)+5+9+8+6 = 33.4
- Visually stunning; risk = real-time audio + latency
- Supplier Onboarding Accelerator
- (10−3.1)+9+7+9+8 = 39.9
- Best balance of business value + feasibility
- Relationship Memory
- (10−3.9)+8+8+8+7 = 37.1
- Great idea, RAG setup time can slow team
- Performance Tracker
- (10−3.3)+9+7+8+8 = 38.7
- Easy to fake metrics; good dashboard potential
- Define via framework below
- From https://chatgpt.com/g/g-p-68fb904c9d888191bfdaec99164f89c2-tacto-hackathon/c/68fb90b1-0050-8325-bcbe-e09daa2c0273
- Technical complexity
- From https://app.diagrams.net/#
- Here’s a concise comparison table of the core technologies / skills each Tacto hackathon direction would involve 👇
- Core AI / Tech Stack
- Key Skills Involved
- Live Negotiation Assistant
- 🎙️ OpenAI Realtime API, Speech-to-Text, Emotion Detection Model, LangChain Agent, WebSocket UI
- Real-time streaming, sentiment analysis, prompt orchestration, conversational UX
- Supplier Onboarding Accelerator
- 🧾 OCR (Tesseract/Google Vision), Translation API, OpenAI GPT-4o, Workflow Engine (FastAPI/LangChain), Database (SQL/Firebase)
- Document AI, API chaining, data validation, automation flows, backend integration
- Relationship Memory
- 🧠 Embeddings (OpenAI text-embedding-3), Vector DB (Weaviate/Pinecone), RAG Pipeline (LangChain), Summarization Models
URLs Found¶
- https://chatgpt.com/g/g-p-68fb904c9d888191bfdaec99164f89c2-tacto-hackathon/c/68fb90b1-0050-8325-bcbe-e09daa2c0273
- https://app.diagrams.net/#
Next Curation Action¶
Promote useful contacts, follow-ups, and event opportunities into People, Companies, Programs, or CRM pages.
Sources¶
C:\Users\adeel\OneDrive\100_Knowledge\203_TextCAD\01_Product_Project_Management\TextCAD_Wiki\inbox\onenoteexport\01_PROJECTS\Gauss Compute\Events - Tacto Hackathon.docxC:\Users\adeel\OneDrive\100_Knowledge\203_TextCAD\01_Product_Project_Management\TextCAD_Wiki\inbox\onenoteexport\01_PROJECTS\Gauss Compute\Events - Tacto Hackathon.mht