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AI-resilience)\n- **Design an AI-native org structure** with role-by-role automation and cost projections\n- **Value** the idea seven ways: DCF, Comparables, Berkus, Scorecard (Payne), VC method, First Chicago, Patent (cost / market / RFR / income)\n- **Split founder equity** via a Slicing-Pie contribution-units model, net of ESOP\n- Optionally call **Claude Code CLI** (`claude -p`) for qualitative VC-style commentary; falls back gracefully if absent\n\nThe generated xlsx is fully interactive — edit any yellow cell on the `Inputs` sheet and every downstream sheet recomputes via live Excel formulas.\n\n## Install\n\n```bash\nsource ~/projects/venv/bin/activate   # or your own venv\npip install -r requirements.txt\n```\n\n## Usage\n\n```bash\n# Interactive deep evaluation\npython cli.py\n\n# JSON-driven\npython cli.py --input examples/meetingroi.json --output meetingroi.xlsx\n\n# Portfolio screening across many ideas\npython cli.py --screen examples/meeting_variants_screen.json \\\n              --screen-output portfolio.xlsx\n\n# Dump a blank input template\npython cli.py --dump-template my_idea.json\n\n# Skip the Claude CLI call (rubric-only)\npython cli.py --input my.json --no-ai\n\n# Absorb an existing investor deck (.pptx) into JSON inputs\npython cli.py --from-pptx deck.pptx --to-json deck_inputs.json\n#   Deterministic regex pulls money/percent anchors (TAM, revenue, IRR,\n#   margins, ask). If `claude` is on PATH, an LLM pass fills the rest\n#   (problem, solution, ICP, rubric scores). Skip the LLM with --no-ai.\n\n# Produce an investor pitch deck (.pptx) alongside the xlsx\npython cli.py --input my.json --to-pptx pitch.pptx\n#   10-slide deck: Cover · Opportunity · Solution · Traction · 5-Yr\n#   Projections · Valuation (7 methods) · AI-Native Org · Equity ·\n#   Investment Ask · Closing.\n\n# Roundtrip: absorb a competitor deck and reproduce as your own\npython cli.py --from-pptx their_deck.pptx --to-pptx my_deck.pptx\n```\n\n\u003e .ppt (legacy binary, pre-2007) is not supported directly — convert first:\n\u003e `soffice --headless --convert-to pptx your_deck.ppt` (requires LibreOffice).\n\n## Workbook sheets\n\n`Summary` · `Inputs` · `Scorecard` · `Org` · `Equity` · `Valuation_DCF` · `Valuation_Comps` · `Valuation_EarlyStage` · `Valuation_Patent` · `Screening` · `Definitions`\n\n## Method choice notes\n\n- **Modified RICE** comes from the Samyama screening template. **WSJF (SAFe)**, **CD3 (Reinertsen)**, and **EMV** are run alongside it because the four methods diverge on time-sensitive vs. dollar-payoff bets — divergence in rank is itself a signal.\n- The rubric weights **AI Resilience at 17%** (heaviest). If commodity LLMs eat your wedge in 24 months, the score reflects it.\n- Every role title in the org template is intentionally AI-native (e.g. `Forward-Deployed AI Engineer`, `Eval \u0026 Quality Engineer`, `Decision Intelligence Lead`).\n\n## License\n\nMIT — see `LICENSE`.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsandeepkunkunuru%2Fidea-evaluator","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsandeepkunkunuru%2Fidea-evaluator","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsandeepkunkunuru%2Fidea-evaluator/lists"}