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

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@@ -21,8 +21,10 @@ Du hast Zugriff auf alle Unternehmensdaten und zitierst immer konkrete Zahlen.
1. AI-First: "Alles was durch KI loesbar ist, wird durch KI geloest. Kein klassischer Support, kein grosses Sales-Team."
2. Skalierbarkeit: "10x Kunden ≠ 10x Personal. Die KI skaliert mit."
3. Hardware-Differenzierung: "Datensouveraenitaet durch Self-Hosting auf Apple-Hardware."
4. Kostenstruktur: "18 Mitarbeiter in 2030 bei 8.4 Mio EUR Umsatz."
4. Kostenstruktur: "12 Mitarbeiter in 2030 bei 7.8 Mio EUR Umsatz."
5. Marktchance: "12.4 Mrd EUR TAM, regulatorisch getrieben."
6. Finanzierung: "Gestaffelte Finanzierung: 25k Stammkapital (Aug 2026), 25k Angel (Sep 2026), 200k Wandeldarlehen mit L-Bank-Foerderung (Okt 2026), 1M Series A (Sommer 2027). Gesamt: 1,25 Mio EUR."
7. Gruendergehalt: "Gruender arbeiten erst ohne Gehalt, ab Okt 2026 mit 3k EUR, ab 2027 mit 6k EUR — maximale Kapitaleffizienz."
## Kommunikationsstil
- Professionell, knapp und ueberzeugend
@@ -34,7 +36,38 @@ Du hast Zugriff auf alle Unternehmensdaten und zitierst immer konkrete Zahlen.
NIEMALS offenbaren: Exakte Modellnamen, Frameworks, Code-Architektur, Datenbankschema, Sicherheitsdetails, Cloud-Provider.
Stattdessen: "Proprietaere KI-Engine", "Self-Hosted Appliance auf Apple-Hardware", "BSI-zertifizierte Cloud", "Enterprise-Grade Verschluesselung".
## Erlaubt: Geschaeftsmodell, Preise, Marktdaten, Features, Team, Finanzen, Use of Funds, Hardware-Specs (oeffentlich), LLM-Groessen (32b/40b/1000b).`
## Erlaubt: Geschaeftsmodell, Preise, Marktdaten, Features, Team, Finanzen, Use of Funds, Hardware-Specs (oeffentlich), LLM-Groessen (32b/40b/1000b).
## Slide-Awareness (IMMER beachten)
Du erhaeltst den aktuellen Slide-Kontext. Nutze ihn fuer kontextuelle Antworten.
Wenn der Investor etwas fragt, was in einer spaeteren Slide detailliert wird und er diese noch nicht gesehen hat:
- Beantworte kurz, dann: "Details dazu finden Sie in Slide X: [Name]. Moechten Sie dorthin springen? [GOTO:X]"
## FOLLOW-UP FRAGEN — KRITISCHE PFLICHT
Du MUSST am Ende JEDER einzelnen Antwort exakt 3 Folgefragen anhaengen.
Die Fragen muessen durch "---" getrennt und mit "[Q]" markiert sein.
JEDE Antwort ohne Folgefragen ist UNVOLLSTAENDIG und FEHLERHAFT.
EXAKTES FORMAT (keine Abweichung erlaubt):
[Deine Antwort hier]
---
[Q] Erste Folgefrage passend zum Thema?
[Q] Zweite Folgefrage die tiefer geht?
[Q] Dritte Folgefrage zu einem verwandten Aspekt?
KONKRETES BEISPIEL einer vollstaendigen Antwort:
"Unser AI-First-Ansatz ermoeglicht Skalierung ohne lineares Personalwachstum. Der Umsatz steigt von 36k EUR (2026) auf 8.4 Mio EUR (2030), waehrend das Team nur von 2 auf 18 Personen waechst.
---
[Q] Wie sieht die Kostenstruktur im Detail aus?
[Q] Welche Unit Economics erreicht ihr in 2030?
[Q] Wie vergleicht sich die Personaleffizienz mit Wettbewerbern?"
WICHTIG: Vergiss NIEMALS die Folgefragen! Sie sind PFLICHT.`
async function loadPitchContext(): Promise<string> {
try {
@@ -86,7 +119,7 @@ ${JSON.stringify(features.rows, null, 2)}
export async function POST(request: NextRequest) {
try {
const body = await request.json()
const { message, history = [], lang = 'de' } = body
const { message, history = [], lang = 'de', slideContext } = body
if (!message || typeof message !== 'string') {
return NextResponse.json({ error: 'Message is required' }, { status: 400 })
@@ -98,6 +131,53 @@ export async function POST(request: NextRequest) {
if (pitchContext) {
systemContent += '\n' + pitchContext
}
// Slide context for contextual awareness
if (slideContext) {
const SLIDE_NAMES: Record<string, { de: string; en: string; index: number }> = {
'cover': { de: 'Cover', en: 'Cover', index: 0 },
'problem': { de: 'Das Problem', en: 'The Problem', index: 1 },
'solution': { de: 'Die Loesung', en: 'The Solution', index: 2 },
'product': { de: 'Produkte', en: 'Products', index: 3 },
'how-it-works': { de: 'So funktionierts', en: 'How It Works', index: 4 },
'market': { de: 'Markt', en: 'Market', index: 5 },
'business-model': { de: 'Geschaeftsmodell', en: 'Business Model', index: 6 },
'traction': { de: 'Traction', en: 'Traction', index: 7 },
'competition': { de: 'Wettbewerb', en: 'Competition', index: 8 },
'team': { de: 'Team', en: 'Team', index: 9 },
'technology': { de: 'Technologie', en: 'Technology', index: 10 },
'financials': { de: 'Finanzen', en: 'Financials', index: 11 },
'the-ask': { de: 'The Ask', en: 'The Ask', index: 12 },
'ai-qa': { de: 'KI Q&A', en: 'AI Q&A', index: 13 },
'appendix': { de: 'Appendix', en: 'Appendix', index: 14 },
'annex-infra': { de: 'Infrastruktur', en: 'Infrastructure', index: 15 },
'annex-ai-stack': { de: 'KI-Stack', en: 'AI Stack', index: 16 },
'annex-rag': { de: 'RAG Pipeline', en: 'RAG Pipeline', index: 17 },
'annex-security': { de: 'Sicherheit', en: 'Security', index: 18 },
'annex-devops': { de: 'DevOps & CI/CD', en: 'DevOps & CI/CD', index: 19 },
'annex-agent-arch': { de: 'Agent Architektur', en: 'Agent Architecture', index: 20 },
'annex-agent-rag': { de: 'Rechtsdokumente', en: 'Legal Documents', index: 21 },
'annex-agent-workflow': { de: 'Compliance Workflow', en: 'Compliance Workflow', index: 22 },
'annex-usp-overview': { de: '5 USPs', en: '5 USPs', index: 23 },
'annex-usp-comparison': { de: 'Wettbewerbsvergleich', en: 'Competitor Comparison', index: 24 },
'annex-usp-moat': { de: 'Marktposition', en: 'Market Position', index: 25 },
'annex-roadmap-2027': { de: 'Roadmap 2027', en: 'Roadmap 2027', index: 26 },
'annex-roadmap-2028': { de: 'Roadmap 2028', en: 'Roadmap 2028', index: 27 },
}
const slideKeys = Object.keys(SLIDE_NAMES)
const visited: number[] = slideContext.visitedSlides || []
const currentSlideName = SLIDE_NAMES[slideContext.currentSlide]?.[lang] || slideContext.currentSlide
const notYetSeen = Object.entries(SLIDE_NAMES)
.filter(([, v]) => !visited.includes(v.index))
.map(([, v]) => `${v.index + 1}. ${v[lang]}`)
systemContent += `\n\n## Slide-Kontext (WICHTIG fuer kontextuelle Antworten)
- Aktuelle Slide: "${currentSlideName}" (Nr. ${slideContext.currentIndex + 1} von 28)
- Bereits besuchte Slides: ${visited.map((i: number) => SLIDE_NAMES[slideKeys[i]]?.[lang]).filter(Boolean).join(', ')}
- Noch nicht gesehene Slides: ${notYetSeen.join(', ')}
- Ist Erstbesuch: ${visited.length <= 1 ? 'JA — Investor hat gerade erst den Pitch geoeffnet' : 'Nein'}
`
}
systemContent += `\n\n## Aktuelle Sprache: ${lang === 'de' ? 'Deutsch' : 'English'}\nAntworte in ${lang === 'de' ? 'Deutsch' : 'English'}.`
const messages = [
@@ -106,7 +186,7 @@ export async function POST(request: NextRequest) {
role: h.role === 'user' ? 'user' : 'assistant',
content: h.content,
})),
{ role: 'user', content: message },
{ role: 'user', content: message + '\n\n(Erinnerung: Beende deine Antwort IMMER mit "---" gefolgt von 3 Folgefragen im Format "[Q] Frage?")' },
]
const ollamaResponse = await fetch(`${OLLAMA_URL}/api/chat`, {

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@@ -0,0 +1,30 @@
import { NextRequest, NextResponse } from 'next/server'
import pool from '@/lib/db'
// PUT: Update a single assumption and trigger recompute
export async function PUT(request: NextRequest) {
try {
const body = await request.json()
const { scenarioId, key, value } = body
if (!scenarioId || !key || value === undefined) {
return NextResponse.json({ error: 'scenarioId, key, and value are required' }, { status: 400 })
}
const client = await pool.connect()
try {
const jsonValue = JSON.stringify(value)
await client.query(
'UPDATE pitch_fm_assumptions SET value = $1 WHERE scenario_id = $2 AND key = $3',
[jsonValue, scenarioId, key]
)
return NextResponse.json({ success: true })
} finally {
client.release()
}
} catch (error) {
console.error('Update assumption error:', error)
return NextResponse.json({ error: 'Failed to update assumption' }, { status: 500 })
}
}

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@@ -0,0 +1,388 @@
import { NextRequest, NextResponse } from 'next/server'
import pool from '@/lib/db'
interface FundingEvent {
month: number
amount: number
label: string
}
interface SalaryStep {
from_month: number
salary: number
}
export async function POST(request: NextRequest) {
try {
const body = await request.json()
const { scenarioId } = body
if (!scenarioId) {
return NextResponse.json({ error: 'scenarioId is required' }, { status: 400 })
}
const client = await pool.connect()
try {
// Load assumptions
const assumptionsRes = await client.query(
'SELECT key, value, value_type FROM pitch_fm_assumptions WHERE scenario_id = $1',
[scenarioId]
)
const a: Record<string, number | number[] | FundingEvent[] | SalaryStep[]> = {}
for (const row of assumptionsRes.rows) {
const val = typeof row.value === 'string' ? JSON.parse(row.value) : row.value
a[row.key] = val
}
// Funding schedule (staged capital injections)
const fundingSchedule: FundingEvent[] = Array.isArray(a.funding_schedule)
? (a.funding_schedule as FundingEvent[])
: [
{ month: 8, amount: 25000, label: 'Stammkapital GmbH' },
{ month: 9, amount: 25000, label: 'Angel-Runde' },
{ month: 10, amount: 200000, label: 'Wandeldarlehen (Investor + L-Bank)' },
{ month: 19, amount: 1000000, label: 'Series A' },
]
// Founder salary schedule (per founder)
const founderSalarySchedule: SalaryStep[] = Array.isArray(a.founder_salary_schedule)
? (a.founder_salary_schedule as SalaryStep[])
: [
{ from_month: 1, salary: 0 },
{ from_month: 10, salary: 3000 },
{ from_month: 13, salary: 6000 },
{ from_month: 25, salary: 10000 },
]
const numFounders = Number(a.num_founders) || 2
// Extract scalar values
const growthRate = (Number(a.monthly_growth_rate) || 15) / 100
const churnRate = (Number(a.churn_rate_monthly) || 3) / 100
const arpuMini = Number(a.arpu_mini) || 299
const arpuStudio = Number(a.arpu_studio) || 999
const arpuCloud = Number(a.arpu_cloud) || 1499
const mixMini = (Number(a.product_mix_mini) || 60) / 100
const mixStudio = (Number(a.product_mix_studio) || 25) / 100
const mixCloud = (Number(a.product_mix_cloud) || 15) / 100
const initialCustomers = Number(a.initial_customers) || 2
const cac = Number(a.cac) || 500
const hwCostMini = Number(a.hw_cost_per_mini) || 3200
const hwCostStudio = Number(a.hw_cost_per_studio) || 12000
const cloudOpex = Number(a.cloud_opex_per_customer) || 150
const salaryAvg = Number(a.salary_avg_monthly) || 6000
// Hiring plan: employees EXCLUDING founders (hired staff only)
const hiringPlan: number[] = Array.isArray(a.hiring_plan) ? (a.hiring_plan as number[]) : [0, 1, 3, 6, 10]
const marketingMonthly = Number(a.marketing_monthly) || 2000
const infraBase = Number(a.infra_monthly_base) || 500
// Detail cost assumptions
const ihkAnnual = Number(a.ihk_annual) || 180
const phoneInternetMonthly = Number(a.phone_internet_monthly) || 100
const taxAdvisorMonthly = Number(a.tax_advisor_monthly) || 300
const notaryFounding = Number(a.notary_founding) || 2500
const insuranceMonthly = Number(a.insurance_monthly) || 200
const officeRentMonthly = Number(a.office_rent_monthly) || 0
const softwareLicensesMonthly = Number(a.software_licenses_monthly) || 150
const travelMonthly = Number(a.travel_monthly) || 200
const legalMonthly = Number(a.legal_monthly) || 100
const depreciationRatePct = Number(a.depreciation_rate_pct) || 33
const taxRatePct = Number(a.tax_rate_pct) || 30
const interestRatePct = Number(a.interest_rate_pct) || 5
// Hardware financing: only this % paid upfront, rest via leasing/financing
const hwUpfrontPct = (Number(a.hw_upfront_pct) || 30) / 100
// GmbH founding month (month 8 = August 2026)
const gmbhFoundingMonth = 8
// Weighted ARPU
const weightedArpu = arpuMini * mixMini + arpuStudio * mixStudio + arpuCloud * mixCloud
// Weighted hardware cost (only for Mini and Studio — Cloud is OpEx)
const hwCostWeighted = hwCostMini * mixMini + hwCostStudio * mixStudio
// Helper: get founder salary for a given month
function getFounderSalary(month: number): number {
let salary = 0
for (const step of founderSalarySchedule) {
if (month >= step.from_month) {
salary = step.salary
}
}
return salary
}
// Helper: get funding for a given month
function getFundingForMonth(month: number): number {
let total = 0
for (const event of fundingSchedule) {
if (event.month === month) {
total += event.amount
}
}
return total
}
const results = []
let totalCustomers = 0
let cashBalance = 0 // Start at 0, funding comes via schedule
let cumulativeRevenue = 0
let breakEvenMonth: number | null = null
let peakBurn = 0
let cumulativeHwInvestment = 0
for (let m = 1; m <= 60; m++) {
const yearIndex = Math.floor((m - 1) / 12) // 0-4
const year = 2026 + yearIndex
const monthInYear = ((m - 1) % 12) + 1
// === FUNDING: Add capital injection for this month ===
const fundingThisMonth = getFundingForMonth(m)
cashBalance += fundingThisMonth
// === PRE-GMBH PHASE (months 1-7): No costs, private development ===
if (m < gmbhFoundingMonth) {
results.push({
month: m,
year,
month_in_year: monthInYear,
new_customers: 0,
churned_customers: 0,
total_customers: 0,
mrr_eur: 0,
arr_eur: 0,
revenue_eur: 0,
cogs_eur: 0,
personnel_eur: 0,
infra_eur: 0,
marketing_eur: 0,
total_costs_eur: 0,
employees_count: 0,
gross_margin_pct: 0,
burn_rate_eur: 0,
runway_months: 999,
cac_eur: 0,
ltv_eur: 0,
ltv_cac_ratio: 0,
cash_balance_eur: Math.round(cashBalance * 100) / 100,
cumulative_revenue_eur: 0,
admin_costs_eur: 0,
office_costs_eur: 0,
founding_costs_eur: 0,
ihk_eur: 0,
depreciation_eur: 0,
interest_expense_eur: 0,
taxes_eur: 0,
net_income_eur: 0,
ebit_eur: 0,
software_licenses_eur: 0,
travel_costs_eur: 0,
funding_eur: fundingThisMonth,
})
continue
}
// === POST-GMBH PHASE (months 8+): Real business operations ===
// Hired employees: plan-based but capped by revenue (don't hire ahead of revenue)
const plannedHires = hiringPlan[Math.min(yearIndex, hiringPlan.length - 1)] || 0
const revenueBasedMaxHires = Math.floor((totalCustomers * weightedArpu) / salaryAvg)
const hiredEmployees = Math.min(plannedHires, Math.max(0, revenueBasedMaxHires))
// Founder salary
const founderSalaryPerPerson = getFounderSalary(m)
const totalFounderSalary = founderSalaryPerPerson * numFounders
// Total employees shown (founders + hired)
const totalEmployees = numFounders + hiredEmployees
// Customer dynamics — start acquiring customers from GmbH founding
const monthsSinceGmbh = m - gmbhFoundingMonth + 1
if (monthsSinceGmbh === 1) {
totalCustomers = initialCustomers
}
let newCustomers = monthsSinceGmbh === 1
? initialCustomers
: Math.max(1, Math.round(totalCustomers * growthRate))
// Cash constraint: don't spend more than available
// Fixed OPEX this month (independent of new customer count)
const fixedOpex = (totalFounderSalary + hiredEmployees * salaryAvg)
+ marketingMonthly
+ infraBase + (totalCustomers * 5)
+ (totalCustomers * mixCloud * cloudOpex)
+ phoneInternetMonthly + taxAdvisorMonthly + insuranceMonthly + legalMonthly
+ officeRentMonthly + (m === gmbhFoundingMonth ? notaryFounding : 0)
+ ihkAnnual / 12 + softwareLicensesMonthly + travelMonthly
const estRevenue = totalCustomers * weightedArpu
// Available cash = current balance + this month's revenue - fixed costs
const availableCash = cashBalance + estRevenue - fixedOpex
// Variable cost per new customer: hardware CAPEX (upfront portion) + CAC
const varCostPerNew = hwCostWeighted * hwUpfrontPct + cac
// Max affordable new customers (keep cash >= 0)
if (varCostPerNew > 0 && monthsSinceGmbh > 1) {
const maxAffordable = Math.floor(availableCash / varCostPerNew)
newCustomers = Math.min(newCustomers, Math.max(1, maxAffordable))
}
const churned = Math.round(totalCustomers * churnRate)
if (monthsSinceGmbh > 1) {
totalCustomers = totalCustomers + newCustomers - churned
}
totalCustomers = Math.max(0, totalCustomers)
// Revenue
const mrr = totalCustomers * weightedArpu
const arr = mrr * 12
const revenue = mrr
// Costs
const hiredPersonnelCost = hiredEmployees * salaryAvg
const personnelCost = totalFounderSalary + hiredPersonnelCost
// Hardware = CAPEX (only upfront portion paid from cash, rest financed)
const capexHardware = newCustomers * hwCostWeighted * hwUpfrontPct
// Cloud OPEX + hardware leasing cost (financed portion amortized over 36 months)
const cogsCloud = totalCustomers * mixCloud * cloudOpex
const hwLeasingMonthly = (cumulativeHwInvestment * (1 - hwUpfrontPct)) / 36
const cogs = cogsCloud + hwLeasingMonthly
const marketingCost = marketingMonthly + (newCustomers * cac)
const infraCost = infraBase + (totalCustomers * 5)
// Detail costs
const adminCosts = phoneInternetMonthly + taxAdvisorMonthly + insuranceMonthly + legalMonthly
const officeCosts = officeRentMonthly
// Founding costs: notary in month 8 (GmbH founding)
const foundingCosts = m === gmbhFoundingMonth ? notaryFounding : 0
const ihkMonthly = ihkAnnual / 12
const softwareLicenses = softwareLicensesMonthly
const travelCosts = travelMonthly
// Depreciation: cumulative HW investment * rate / 12 (P&L expense for CAPEX)
cumulativeHwInvestment += capexHardware
const depreciationMonthly = (cumulativeHwInvestment * depreciationRatePct / 100) / 12
// Total OPEX (P&L) — hardware enters only via depreciation
const totalCosts = personnelCost + cogs + marketingCost + infraCost
+ adminCosts + officeCosts + foundingCosts + ihkMonthly
+ softwareLicenses + travelCosts + depreciationMonthly
// EBIT
const ebit = revenue - totalCosts
// Interest expense (only if cash balance is negative)
const interestExpense = cashBalance < 0 ? Math.abs(cashBalance) * interestRatePct / 100 / 12 : 0
// Taxes (only if profit positive)
const ebt = ebit - interestExpense
const taxes = ebt > 0 ? ebt * taxRatePct / 100 : 0
// Net income
const netIncome = ebt - taxes
// Cash: net income MINUS hardware CAPEX (funding already added at top)
cashBalance += netIncome - capexHardware
cumulativeRevenue += revenue
// KPIs — gross margin uses COGS + depreciation for true margin
const grossMargin = revenue > 0 ? ((revenue - cogs - depreciationMonthly) / revenue) * 100 : 0
const burnRate = (netIncome - capexHardware) < 0 ? Math.abs(netIncome - capexHardware) : 0
const runway = burnRate > 0 ? cashBalance / burnRate : 999
const avgLifetimeMonths = churnRate > 0 ? 1 / churnRate : 60
const ltv = weightedArpu * avgLifetimeMonths
const ltvCacRatio = cac > 0 ? ltv / cac : 0
if (peakBurn < burnRate) peakBurn = burnRate
// Break-even detection
if (breakEvenMonth === null && netIncome >= 0 && m > gmbhFoundingMonth) {
breakEvenMonth = m
}
results.push({
month: m,
year,
month_in_year: monthInYear,
new_customers: newCustomers,
churned_customers: churned,
total_customers: totalCustomers,
mrr_eur: Math.round(mrr * 100) / 100,
arr_eur: Math.round(arr * 100) / 100,
revenue_eur: Math.round(revenue * 100) / 100,
cogs_eur: Math.round(cogs * 100) / 100,
personnel_eur: Math.round(personnelCost * 100) / 100,
infra_eur: Math.round(infraCost * 100) / 100,
marketing_eur: Math.round(marketingCost * 100) / 100,
total_costs_eur: Math.round(totalCosts * 100) / 100,
employees_count: totalEmployees,
gross_margin_pct: Math.round(grossMargin * 100) / 100,
burn_rate_eur: Math.round(burnRate * 100) / 100,
runway_months: Math.round(Math.min(runway, 999) * 10) / 10,
cac_eur: cac,
ltv_eur: Math.round(ltv * 100) / 100,
ltv_cac_ratio: Math.round(ltvCacRatio * 100) / 100,
cash_balance_eur: Math.round(cashBalance * 100) / 100,
cumulative_revenue_eur: Math.round(cumulativeRevenue * 100) / 100,
// Detail costs
admin_costs_eur: Math.round(adminCosts * 100) / 100,
office_costs_eur: Math.round(officeCosts * 100) / 100,
founding_costs_eur: Math.round(foundingCosts * 100) / 100,
ihk_eur: Math.round(ihkMonthly * 100) / 100,
depreciation_eur: Math.round(depreciationMonthly * 100) / 100,
interest_expense_eur: Math.round(interestExpense * 100) / 100,
taxes_eur: Math.round(taxes * 100) / 100,
net_income_eur: Math.round(netIncome * 100) / 100,
ebit_eur: Math.round(ebit * 100) / 100,
software_licenses_eur: Math.round(softwareLicenses * 100) / 100,
travel_costs_eur: Math.round(travelCosts * 100) / 100,
funding_eur: fundingThisMonth,
})
}
// Save to DB (upsert) — only columns that exist in the table
await client.query('DELETE FROM pitch_fm_results WHERE scenario_id = $1', [scenarioId])
for (const r of results) {
await client.query(`
INSERT INTO pitch_fm_results (scenario_id, month, year, month_in_year,
new_customers, churned_customers, total_customers,
mrr_eur, arr_eur, revenue_eur,
cogs_eur, personnel_eur, infra_eur, marketing_eur, total_costs_eur,
employees_count, gross_margin_pct, burn_rate_eur, runway_months,
cac_eur, ltv_eur, ltv_cac_ratio,
cash_balance_eur, cumulative_revenue_eur)
VALUES ($1,$2,$3,$4,$5,$6,$7,$8,$9,$10,$11,$12,$13,$14,$15,$16,$17,$18,$19,$20,$21,$22,$23,$24)
`, [
scenarioId, r.month, r.year, r.month_in_year,
r.new_customers, r.churned_customers, r.total_customers,
r.mrr_eur, r.arr_eur, r.revenue_eur,
r.cogs_eur, r.personnel_eur, r.infra_eur, r.marketing_eur, r.total_costs_eur,
r.employees_count, r.gross_margin_pct, r.burn_rate_eur, r.runway_months,
r.cac_eur, r.ltv_eur, r.ltv_cac_ratio,
r.cash_balance_eur, r.cumulative_revenue_eur,
])
}
const lastResult = results[results.length - 1]
return NextResponse.json({
scenario_id: scenarioId,
results,
summary: {
final_arr: lastResult.arr_eur,
final_customers: lastResult.total_customers,
break_even_month: breakEvenMonth,
final_runway: lastResult.runway_months,
final_ltv_cac: lastResult.ltv_cac_ratio,
peak_burn: Math.round(peakBurn * 100) / 100,
total_funding_needed: Math.round(Math.abs(Math.min(...results.map(r => r.cash_balance_eur), 0)) * 100) / 100,
},
})
} finally {
client.release()
}
} catch (error) {
console.error('Compute error:', error)
return NextResponse.json({ error: 'Computation failed' }, { status: 500 })
}
}

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import { NextRequest, NextResponse } from 'next/server'
import pool from '@/lib/db'
export const dynamic = 'force-dynamic'
export async function GET(
request: NextRequest,
{ params }: { params: Promise<{ scenarioId: string }> }
) {
try {
const { scenarioId } = await params
const client = await pool.connect()
try {
const results = await client.query(
'SELECT * FROM pitch_fm_results WHERE scenario_id = $1 ORDER BY month',
[scenarioId]
)
return NextResponse.json(results.rows)
} finally {
client.release()
}
} catch (error) {
console.error('Load results error:', error)
return NextResponse.json({ error: 'Failed to load results' }, { status: 500 })
}
}

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import { NextRequest, NextResponse } from 'next/server'
import pool from '@/lib/db'
export const dynamic = 'force-dynamic'
// GET: Load all scenarios with their assumptions
export async function GET() {
try {
const client = await pool.connect()
try {
const scenarios = await client.query(
'SELECT * FROM pitch_fm_scenarios ORDER BY is_default DESC, name'
)
const assumptions = await client.query(
'SELECT * FROM pitch_fm_assumptions ORDER BY sort_order'
)
const result = scenarios.rows.map(s => ({
...s,
assumptions: assumptions.rows
.filter(a => a.scenario_id === s.id)
.map(a => ({
...a,
value: typeof a.value === 'string' ? JSON.parse(a.value) : a.value,
})),
}))
return NextResponse.json(result)
} finally {
client.release()
}
} catch (error) {
console.error('Financial model load error:', error)
return NextResponse.json({ error: 'Failed to load scenarios' }, { status: 500 })
}
}
// POST: Create a new scenario
export async function POST(request: NextRequest) {
try {
const body = await request.json()
const { name, description, color, copyFrom } = body
if (!name) {
return NextResponse.json({ error: 'Name is required' }, { status: 400 })
}
const client = await pool.connect()
try {
const scenario = await client.query(
'INSERT INTO pitch_fm_scenarios (name, description, color) VALUES ($1, $2, $3) RETURNING *',
[name, description || '', color || '#6366f1']
)
// If copyFrom is set, copy assumptions from another scenario
if (copyFrom) {
await client.query(`
INSERT INTO pitch_fm_assumptions (scenario_id, key, label_de, label_en, value, value_type, unit, min_value, max_value, step_size, category, sort_order)
SELECT $1, key, label_de, label_en, value, value_type, unit, min_value, max_value, step_size, category, sort_order
FROM pitch_fm_assumptions WHERE scenario_id = $2
`, [scenario.rows[0].id, copyFrom])
}
return NextResponse.json(scenario.rows[0])
} finally {
client.release()
}
} catch (error) {
console.error('Create scenario error:', error)
return NextResponse.json({ error: 'Failed to create scenario' }, { status: 500 })
}
}