Evaluate startup distribution moat defensibility (Tier 1-5) and pre-seed valuation dispersion.
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Returns one chart from the Chart of the Day archive: the data table behind it (rows as published), claim, takeaway, note and the sources it cites. Look up by slug or title. Data is as published on the chart page; follow source_urls for the original data.
Chart slug or title, e.g. "pre-seed-valuation-dispersion", "ai-inference-cost-comparison"
Returns one chart from the Chart of the Day archive: the data table behind it (rows as published), claim, takeaway, note and the sources it cites. Look up by slug or title. Data is as published on the chart page; follow source_urls for the original data.
| Argument | Type | Description |
|---|---|---|
| slug* | string | Chart slug or title, e.g. "pre-seed-valuation-dispersion", "ai-inference-cost-comparison" |
{
"type": "object",
"required": [
"slug"
],
"properties": {
"slug": {
"type": "string",
"description": "Chart slug or title, e.g. \"pre-seed-valuation-dispersion\", \"ai-inference-cost-comparison\""
}
},
"additionalProperties": false
}Rule-based 1 to 5 score of distribution defensibility, using only the acquisition channels you list and whether you have proprietary data or network effects. business_model is echoed back and does not change the score. It is a discussion aid built from Mode VC's published thesis, not a valuation, not an investment decision and not a prediction.
| Argument | Type | Description |
|---|---|---|
| product_name* | string | Name of the startup or product |
| business_model* | string | Primary business model (echoed, not scored) |
| acquisition_channels* | array | Key distribution channels. Channels containing hardware_bundle, network_lockin, viral_loop, system_default or native_integration raise the score. |
| has_proprietary_data_or_network | boolean | Does user activity generate compounding data or network lock-in? |
{
"type": "object",
"required": [
"product_name",
"business_model",
"acquisition_channels"
],
"properties": {
"product_name": {
"type": "string",
"description": "Name of the startup or product"
},
"business_model": {
"enum": [
"B2B_SaaS",
"Consumer_AI",
"Developer_Tools",
"Marketplace",
"Fintech",
"Hardware_DeepTech"
],
"type": "string",
"description": "Primary business model (echoed, not scored)"
},
"acquisition_channels": {
"type": "array",
"items": {
"type": "string"
},
"description": "Key distribution channels. Channels containing hardware_bundle, network_lockin, viral_loop, system_default or native_integration raise the score."
},
"has_proprietary_data_or_network": {
"type": "boolean",
"description": "Does user activity generate compounding data or network lock-in?"
}
},
"additionalProperties": false
}Returns Mode VC's published investment parameters as stated on https://modevc.com/thesis: ticket size, geography focus, stage, core conviction and how to pitch.
No arguments.
{
"type": "object",
"properties": {},
"additionalProperties": false
}