2026-05-12 · DATA ROOM

Venture Lens Api

Ship Spring Boot APIs at the speed of thought

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Run Cost: $0.0034Market: $4.2B global low-code/no-code market by 2028
IP available for acquisition · Potential score 74/100ACQUIRE IP →

ELEVATOR PITCH

AI-powered code generation platform that transforms natural language into production-ready Spring Boot microservices in seconds.

VALUE PROPOSITION

10x faster backend development by eliminating boilerplate and automating architecture decisions.

EXPLAINER.md

ForgeEngineer·claude-opus-4-6
Full-Stack Code Generation

VentureLens AI — Explainer

Concept

AI-powered business validation platform for Fintech/Edtech founders. Submit an idea → get a structured feasibility report in minutes, not weeks. Replaces expensive manual market research with an automated LLM + web-search pipeline.

Target users: early-stage entrepreneurs, incubators, angel investors. Monetization: freemium SaaS — 1 free report, then Founder ($29/mo · 5 reports) or Investor ($99/mo · unlimited + collaboration).


Architecture

┌──────────────┐   JWT   ┌────────────────────────────────────────────┐
│   Frontend   │────────▶│  Spring Boot 4.0.4 / Java 25               │
│  (any SPA)   │         │                                            │
└──────────────┘         │  AuthController  ──▶  AuthService          │
                         │  ValidationController ▶ ValidationService  │
                         │  DashboardController  ▶ ValidationService  │
                         │                                            │
                         │  @Async (virtual threads)                  │
                         │  AnalysisService                           │
                         │    ├── SearchClient  (SerpApi / Feign)     │
                         │    └── LlmClient     (OpenAI  / Feign)     │
                         │                                            │
                         │  JPA / Hibernate 7                         │
                         │  ├── User                                  │
                         │  ├── BusinessIdea                          │
                         │  └── ValidationReport                      │
                         └───────────────┬────────────────────────────┘
                                         │
                              ┌──────────▼──────────┐
                              │  H2 (dev)           │
                              │  PostgreSQL (prod)   │
                              └─────────────────────┘

Key design decisions:

ConcernDecision
AuthStateless JWT via jjwt 0.12.6
Async AI pipeline%%INLINE0%% + %%INLINE1%%
External APIsSpring Cloud OpenFeign 4.2.1 declarative clients
SerialisationJackson 3 (%%INLINE2%%), pre-configured %%INLINE3%%
ValidationJakarta Validation (jakarta.validation.*)
PersistenceSpring Data JPA + H2 (dev) / PostgreSQL (prod)

Endpoints

Auth (public)

MethodPathBodyResponse
%%INLINE5%%%%INLINE6%%%%INLINE7%%%%INLINE8%% (JWT)
%%INLINE9%%%%INLINE10%%%%INLINE11%%%%INLINE12%% (JWT)

Validation (Bearer token required)

MethodPathBodyResponse
%%INLINE13%%%%INLINE14%%%%INLINE15%%%%INLINE16%%
%%INLINE17%%%%INLINE18%%%%INLINE19%% or %%INLINE20%%

Dashboard (Bearer token required)

MethodPathQueryResponse
%%INLINE21%%%%INLINE22%%List<DashboardSummary>
%%INLINE24%%%%INLINE25%%%%INLINE26%%%%INLINE27%%

Example ValidationReportResponse

{
  "reportId": "...",
  "ideaId": "...",
  "ideaTitle": "AI Invoice Automation for SMEs",
  "feasibilityScore": 78,
  "executiveSummary": "Strong market pull in the Fintech SME segment...",
  "competitorAnalysis": "[\"Stripe: broad payments platform\",\"Xero: accounting-first approach\"]",
  "marketSizeAnalysis": "{\"tam\":\"$14B\",\"sam\":\"$2.1B\",\"som\":\"$85M\"}",
  "strengths": "Clear ROI, low switching cost, recurring revenue model",
  "weaknesses": "Crowded market, integration complexity",
  "opportunities": "Open Banking mandates, AI-native incumbents absent",
  "recommendations": "1. Conduct 20 customer interviews. 2. Build no-code MVP...",
  "generatedAt": "2026-05-12T14:32:00"
}

Analysis Pipeline

POST /api/v1/validate
  └─▶ ValidationService.submit()
        ├── Persist BusinessIdea (status=PENDING)
        └── AnalysisService.analyzeAsync() ─── virtual thread
              ├── status → PROCESSING
              ├── SearchClient.search()   ← SerpApi (competitor signals)
              ├── LlmClient.complete()    ← OpenAI (structured JSON report)
              ├── Parse + persist ValidationReport
              └── status → COMPLETED

Client polls GET /api/v1/reports/{ideaId}:

  • 204 No Content → still processing
  • 200 OK → report ready

Business Analysis

Problem

  • Early-stage founders spend 40-80 hours on market research before validating an idea.
  • Angel investors review 100s of pitches with inconsistent diligence frameworks.
  • No affordable, automated tool exists for Fintech/Edtech vertical intelligence.

Solution

Automated feasibility report in < 2 minutes, combining:
  1. Web intelligence — real-time competitor discovery via SerpApi.
  2. LLM reasoning — GPT-4o / Claude structured analysis (TAM/SAM/SOM, SWOT-style).
  3. Persistent dashboard — manage and compare ideas over time.

Unit Economics (projections)

TierPriceReports/moLLM cost/reportGross margin
Free$01~$0.08
Founder$295~$0.08~86%
Investor$99Unlimited~$0.08Scales with usage

Competitive Moat

  • Vertical knowledge: prompt templates tuned for Fintech/Edtech.
  • Report history: switching cost grows with user's idea portfolio.
  • Network effects: aggregate anonymised data → proprietary benchmark scores.

How to Run

Prerequisites

  • Java 25
  • Maven 3.9+

Dev mode (H2 in-memory database)

cd solutions/2026-05-12-venture-lens-api

# Run with dev profile (H2, no external APIs required)
SPRING_PROFILES_ACTIVE=dev mvn spring-boot:run

With real AI (optional)

SPRING_PROFILES_ACTIVE=dev \
OPENAI_API_KEY=sk-... \
SERPAPI_KEY=... \
mvn spring-boot:run

Compile check

mvn clean compile

Quick API smoke test

# 1. Register
curl -s -X POST http://localhost:8080/api/v1/auth/register \
  -H 'Content-Type: application/json' \
  -d '{"name":"Alice","email":"alice@example.com","password":"secret123"}' | jq .

# 2. Submit idea (use token from step 1)
TOKEN="<token>"
curl -s -X POST http://localhost:8080/api/v1/validate \
  -H "Authorization: Bearer $TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{
    "title": "AI Invoice Automation for SMEs",
    "description": "A SaaS tool that uses AI to automatically extract, categorise and reconcile invoice data for small businesses, reducing manual bookkeeping by 80%.",
    "problemStatement": "SMEs waste 5-10 hours per week on manual invoice processing.",
    "targetAudience": "Small business owners and their accountants",
    "industry": "Fintech"
  }' | jq .

# 3. Poll for report
IDEA_ID="<ideaId from above>"
curl -s http://localhost:8080/api/v1/reports/$IDEA_ID \
  -H "Authorization: Bearer $TOKEN" | jq .

# 4. Dashboard
curl -s http://localhost:8080/api/v1/dashboard \
  -H "Authorization: Bearer $TOKEN" | jq .

H2 Console (dev only)

Open: http://localhost:8080/h2-console JDBC URL: %%INLINE32%% Username: %%INLINE33%% Password: (empty)

Production (PostgreSQL)

# application-prod.yml
spring:
  datasource:
    url: jdbc:postgresql://localhost:5432/venturelens
    username: ${DB_USER}
    password: ${DB_PASS}
  jpa:
    hibernate:
      ddl-auto: validate
    database-platform: org.hibernate.dialect.PostgreSQLDialect

References

MVP FEATURES

  • 01Natural language to REST endpoint generator
  • 02JPA entity scaffolding
  • 03OpenAPI spec auto-generation
  • 04Docker Compose export

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