feat: Add staged funding model, financial compute engine, annex slides and UI enhancements
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Restructure financial plan from single 200k SAFE to realistic staged funding
(25k Stammkapital, 25k Angel, 200k Wandeldarlehen, 1M Series A = 1.25M total).
Add 60-month compute engine with CAPEX/OPEX accounting, cash constraints,
hardware financing (30% upfront / 70% leasing), and revenue-based hiring caps.
Rebuild TheAskSlide with 4-event funding timeline, update i18n (DE/EN),
chat agent core messages, and add 15 new annex/technology slides with
supporting UI components (KPICard, RunwayGauge, WaterfallChart, etc.).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
BreakPilot Dev
2026-02-14 21:20:02 +01:00
parent ac1bb1d97b
commit b464366341
44 changed files with 5196 additions and 262 deletions

View File

@@ -0,0 +1,109 @@
'use client'
import { useState, useEffect, useCallback, useRef } from 'react'
import { FMScenario, FMResult, FMComputeResponse } from '../types'
export function useFinancialModel() {
const [scenarios, setScenarios] = useState<FMScenario[]>([])
const [activeScenarioId, setActiveScenarioId] = useState<string | null>(null)
const [compareMode, setCompareMode] = useState(false)
const [results, setResults] = useState<Map<string, FMComputeResponse>>(new Map())
const [loading, setLoading] = useState(true)
const [computing, setComputing] = useState(false)
const computeTimer = useRef<NodeJS.Timeout | null>(null)
// Load scenarios on mount
useEffect(() => {
async function load() {
try {
const res = await fetch('/api/financial-model')
if (res.ok) {
const data: FMScenario[] = await res.json()
setScenarios(data)
const defaultScenario = data.find(s => s.is_default) || data[0]
if (defaultScenario) {
setActiveScenarioId(defaultScenario.id)
}
}
} catch (err) {
console.error('Failed to load financial model:', err)
} finally {
setLoading(false)
}
}
load()
}, [])
// Compute when active scenario changes
useEffect(() => {
if (activeScenarioId && !results.has(activeScenarioId)) {
compute(activeScenarioId)
}
}, [activeScenarioId]) // eslint-disable-line react-hooks/exhaustive-deps
const compute = useCallback(async (scenarioId: string) => {
setComputing(true)
try {
const res = await fetch('/api/financial-model/compute', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ scenarioId }),
})
if (res.ok) {
const data: FMComputeResponse = await res.json()
setResults(prev => new Map(prev).set(scenarioId, data))
}
} catch (err) {
console.error('Compute failed:', err)
} finally {
setComputing(false)
}
}, [])
const updateAssumption = useCallback(async (scenarioId: string, key: string, value: number | number[]) => {
// Optimistic update in local state
setScenarios(prev => prev.map(s => {
if (s.id !== scenarioId) return s
return {
...s,
assumptions: s.assumptions.map(a => a.key === key ? { ...a, value } : a),
}
}))
// Save to DB
await fetch('/api/financial-model/assumptions', {
method: 'PUT',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ scenarioId, key, value }),
})
// Debounced recompute
if (computeTimer.current) clearTimeout(computeTimer.current)
computeTimer.current = setTimeout(() => compute(scenarioId), 300)
}, [compute])
const computeAll = useCallback(async () => {
for (const s of scenarios) {
await compute(s.id)
}
}, [scenarios, compute])
const activeScenario = scenarios.find(s => s.id === activeScenarioId) || null
const activeResults = activeScenarioId ? results.get(activeScenarioId) || null : null
return {
scenarios,
activeScenario,
activeScenarioId,
setActiveScenarioId,
activeResults,
results,
loading,
computing,
compareMode,
setCompareMode,
compute,
computeAll,
updateAssumption,
}
}

View File

@@ -14,9 +14,24 @@ const SLIDE_ORDER: SlideId[] = [
'traction',
'competition',
'team',
'technology',
'financials',
'the-ask',
'ai-qa',
'appendix',
'annex-infra',
'annex-ai-stack',
'annex-rag',
'annex-security',
'annex-devops',
'annex-agent-arch',
'annex-agent-rag',
'annex-agent-workflow',
'annex-usp-overview',
'annex-usp-comparison',
'annex-usp-moat',
'annex-roadmap-2027',
'annex-roadmap-2028',
]
export const TOTAL_SLIDES = SLIDE_ORDER.length

View File

@@ -18,13 +18,28 @@ const translations = {
'Traction',
'Wettbewerb',
'Team',
'Technologie',
'Finanzen',
'The Ask',
'KI Q&A',
'Appendix',
'Infrastruktur',
'KI-Stack',
'RAG Pipeline',
'Sicherheit',
'DevOps & CI/CD',
'Agent Architektur',
'Rechtsdokumente',
'Compliance Workflow',
'5 USPs',
'Wettbewerbsvergleich',
'Marktposition',
'Roadmap 2027',
'Roadmap 2028',
],
cover: {
tagline: 'Datensouveraenitaet meets KI-Compliance',
subtitle: 'Pre-Seed · Q4 2026',
subtitle: 'Seed · 2026-2027',
cta: 'Pitch starten',
},
problem: {
@@ -148,6 +163,46 @@ const translations = {
equity: 'Equity',
expertise: 'Expertise',
},
technology: {
title: 'Technologie-Roadmap',
subtitle: 'Von MVP zu Full Autonomy — 5-Jahres-Technologieplan',
timelineTitle: 'Meilensteine 2026-2030',
stackTitle: 'Tech-Stack',
phases: [
{
year: '2026',
phase: 'Foundation & MVP',
techs: ['Self-Hosted LLM (32B)', 'Apple M2 Mini', 'Basic Compliance SDK', 'OCR Pipeline'],
},
{
year: '2027',
phase: 'Product-Market Fit',
techs: ['Multi-Model Router', 'RAG 2.0 mit Qdrant', 'Auto Compliance-Scan', 'Echtzeit-Monitoring'],
},
{
year: '2028',
phase: 'Enterprise Scale',
techs: ['Federated Learning', 'Cluster-Management', 'API Marketplace', 'Multi-Tenant'],
},
{
year: '2029',
phase: 'AI Platform',
techs: ['Custom Fine-Tuned (40B+)', 'Predictive Compliance', 'Auto-Audits', 'Partner-Integrationen'],
},
{
year: '2030',
phase: 'Full Autonomy',
techs: ['Agent-Netzwerk', 'Self-Healing', 'Zero-Day Compliance', '1000B Parameter'],
},
],
layers: [
{ name: 'Application', techs: 'Next.js, React, TailwindCSS, REST/GraphQL API' },
{ name: 'AI/ML', techs: 'Qwen 32B → 1000B, RAG Pipeline, NLP, OCR (PaddleOCR)' },
{ name: 'Infrastructure', techs: 'Apple Silicon (M2/M4 Pro), Docker, Self-Hosted' },
{ name: 'Security', techs: 'BSI-TR-03161, E2E Verschluesselung, Vault' },
{ name: 'Data', techs: 'PostgreSQL + PostGIS, Qdrant (Vektoren), MinIO (S3)' },
],
},
financials: {
title: 'Finanzprognose',
subtitle: 'AI-First Kostenstruktur — skaliert ohne lineares Personalwachstum',
@@ -166,16 +221,17 @@ const translations = {
},
theAsk: {
title: 'The Ask',
subtitle: 'Pre-Seed Finanzierung',
subtitle: 'Gestaffelte Finanzierung 2026-2027',
amount: 'Funding',
instrument: 'Instrument',
useOfFunds: 'Use of Funds',
engineering: 'Engineering',
sales: 'Vertrieb',
hardware: 'Hardware',
personnel: 'Personal',
legal: 'Legal',
reserve: 'Reserve',
targetDate: 'Zieldatum',
targetDate: 'Zeitraum',
},
aiqa: {
title: 'Fragen? Die KI antwortet.',
@@ -208,13 +264,28 @@ const translations = {
'Traction',
'Competition',
'Team',
'Technology',
'Financials',
'The Ask',
'AI Q&A',
'Appendix',
'Infrastructure',
'AI Stack',
'RAG Pipeline',
'Security',
'DevOps & CI/CD',
'Agent Architecture',
'Legal Documents',
'Compliance Workflow',
'5 USPs',
'Competitor Comparison',
'Market Position',
'Roadmap 2027',
'Roadmap 2028',
],
cover: {
tagline: 'Data Sovereignty meets AI Compliance',
subtitle: 'Pre-Seed · Q4 2026',
subtitle: 'Seed · 2026-2027',
cta: 'Start Pitch',
},
problem: {
@@ -338,6 +409,46 @@ const translations = {
equity: 'Equity',
expertise: 'Expertise',
},
technology: {
title: 'Technology Roadmap',
subtitle: 'From MVP to Full Autonomy — 5-Year Technology Plan',
timelineTitle: 'Milestones 2026-2030',
stackTitle: 'Tech Stack',
phases: [
{
year: '2026',
phase: 'Foundation & MVP',
techs: ['Self-Hosted LLM (32B)', 'Apple M2 Mini', 'Basic Compliance SDK', 'OCR Pipeline'],
},
{
year: '2027',
phase: 'Product-Market Fit',
techs: ['Multi-Model Router', 'RAG 2.0 with Qdrant', 'Auto Compliance Scan', 'Real-time Monitoring'],
},
{
year: '2028',
phase: 'Enterprise Scale',
techs: ['Federated Learning', 'Cluster Management', 'API Marketplace', 'Multi-Tenant'],
},
{
year: '2029',
phase: 'AI Platform',
techs: ['Custom Fine-Tuned (40B+)', 'Predictive Compliance', 'Auto-Audits', 'Partner Integrations'],
},
{
year: '2030',
phase: 'Full Autonomy',
techs: ['Agent Network', 'Self-Healing', 'Zero-Day Compliance', '1000B Parameters'],
},
],
layers: [
{ name: 'Application', techs: 'Next.js, React, TailwindCSS, REST/GraphQL API' },
{ name: 'AI/ML', techs: 'Qwen 32B → 1000B, RAG Pipeline, NLP, OCR (PaddleOCR)' },
{ name: 'Infrastructure', techs: 'Apple Silicon (M2/M4 Pro), Docker, Self-Hosted' },
{ name: 'Security', techs: 'BSI-TR-03161, E2E Encryption, Vault' },
{ name: 'Data', techs: 'PostgreSQL + PostGIS, Qdrant (Vectors), MinIO (S3)' },
],
},
financials: {
title: 'Financial Projections',
subtitle: 'AI-First cost structure — scales without linear headcount growth',
@@ -356,16 +467,17 @@ const translations = {
},
theAsk: {
title: 'The Ask',
subtitle: 'Pre-Seed Funding',
subtitle: 'Staged Funding 2026-2027',
amount: 'Funding',
instrument: 'Instrument',
useOfFunds: 'Use of Funds',
engineering: 'Engineering',
sales: 'Sales',
hardware: 'Hardware',
personnel: 'Personnel',
legal: 'Legal',
reserve: 'Reserve',
targetDate: 'Target Date',
targetDate: 'Timeline',
},
aiqa: {
title: 'Questions? The AI answers.',

View File

@@ -127,6 +127,85 @@ export interface PitchData {
products: PitchProduct[]
}
// Financial Model Types
export interface FMScenario {
id: string
name: string
description: string
is_default: boolean
color: string
assumptions: FMAssumption[]
}
export interface FMAssumption {
id: string
scenario_id: string
key: string
label_de: string
label_en: string
value: number | number[]
value_type: 'scalar' | 'step' | 'timeseries'
unit: string
min_value: number | null
max_value: number | null
step_size: number | null
category: string
sort_order: number
}
export interface FMResult {
month: number
year: number
month_in_year: number
new_customers: number
churned_customers: number
total_customers: number
mrr_eur: number
arr_eur: number
revenue_eur: number
cogs_eur: number
personnel_eur: number
infra_eur: number
marketing_eur: number
total_costs_eur: number
employees_count: number
gross_margin_pct: number
burn_rate_eur: number
runway_months: number
cac_eur: number
ltv_eur: number
ltv_cac_ratio: number
cash_balance_eur: number
cumulative_revenue_eur: number
// Detail costs
admin_costs_eur: number
office_costs_eur: number
founding_costs_eur: number
ihk_eur: number
depreciation_eur: number
interest_expense_eur: number
taxes_eur: number
net_income_eur: number
ebit_eur: number
software_licenses_eur: number
travel_costs_eur: number
funding_eur: number
}
export interface FMComputeResponse {
scenario_id: string
results: FMResult[]
summary: {
final_arr: number
final_customers: number
break_even_month: number | null
final_runway: number
final_ltv_cac: number
peak_burn: number
total_funding_needed: number
}
}
export type Language = 'de' | 'en'
export interface ChatMessage {
@@ -145,6 +224,21 @@ export type SlideId =
| 'traction'
| 'competition'
| 'team'
| 'technology'
| 'financials'
| 'the-ask'
| 'ai-qa'
| 'appendix'
| 'annex-infra'
| 'annex-ai-stack'
| 'annex-rag'
| 'annex-security'
| 'annex-devops'
| 'annex-agent-arch'
| 'annex-agent-rag'
| 'annex-agent-workflow'
| 'annex-usp-overview'
| 'annex-usp-comparison'
| 'annex-usp-moat'
| 'annex-roadmap-2027'
| 'annex-roadmap-2028'