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Financial report analyst

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Offer: within an hour of a listed company's quarterly results, a 1-page summary: revenue and margin vs expectations, guidance changes, key quotes from the earnings call and red flags

Target customer: experienced retail investors

Where to find customers: X, finance newsletters

Tools needed: EDGAR/ESEF + RAG + LLM

Recommended price for your customers: €29/month

What it is

Financial report analyst is an AI-agent business for experienced retail investors. Concretely: within an hour of a listed company's quarterly results, a 1-page summary: revenue and margin vs expectations, guidance changes, key quotes from the earnings call and red flags.

Who pays & why

Who pays: experienced retail investors. Why: the agent does, quickly and around the clock, work they would otherwise do by hand or pay a person for. Recommended price: €29/month. You know it is working when you see: reports read, conversion. Main risk to manage: financial-advice regulation.

How it works

  1. Customers find you through: X, finance newsletters. They sign up on your website.
  2. The agent collects its inputs automatically using: Web scraping.
  3. AI does the core work with: LLM API.
  4. Automatic quality checks run before delivery; anything unusual is sent to you for review.
  5. The result is delivered through: Email / newsletter.
  6. Payment is collected automatically (€29/month).
  7. Every week you check: reports read, conversion.

Concrete example

Example: a customer from the target group (experienced retail investors) signs up. What they get from the first week: within an hour of a listed company's quarterly results, a 1-page summary: revenue and margin vs expectations, guidance changes, key quotes from the earnings call and red flags. The customer pays €29/month. On your side you spend about 4 h per week on: reviews a sample of AI outputs and corrects the prompts when quality drifts; checks legal and regulatory points and signs off risky decisions.

Glossary (3)
LLM
Large language model: an AI like ChatGPT, Claude or Grok that reads and writes text.
API
A connection that lets two software tools talk to each other automatically.
Scraping
Automatically collecting public information from websites.

📊 Key metrics

Revenue potential: High (est. €2000–6000/month)Running costs (tools & APIs): €45–620/monthAutomation difficulty: 3/5 ModerateHuman time: 4 h/weekIntegration Requirements: 7Setup time: ~61 h (≈7 weeks part-time)Estimated payback (return on investment): ~3 months
How we estimate this

Start-up cost = idea price (€79) + one month of running costs while you build (€333). Monthly profit = low end of the revenue estimate (€2000) minus average running costs. We assume 2 months of ramp-up at half revenue and add your setup time. Your own working hours are not counted. It is an estimate, not a promise.

⚙️ Automation difficulty: 3/5 – Moderate

Why this automation score

  • Score 3: several moving parts (data collection, AI output, delivery) need testing and monitoring.
  • Easy to automate: Database, Web server / hosting, Payments, Authentication, LLM API and Email / newsletter.
  • Harder to automate (needs set-up and monitoring): Web scraping.
  • Still needs a human: reviews a sample of AI outputs and corrects the prompts when quality drifts; checks legal and regulatory points and signs off risky decisions — about 4 h per week.
Automation scale (1–5)
  1. 1 – Very easy: no-code tools, a few hours to set up.
  2. 2 – Easy: standard tools, a few days, little monitoring.
  3. 3 – Moderate: several integrations, 1–3 weeks, regular checks.
  4. 4 – Hard: complex data or sensitive output, a coding agent or developer recommended.
  5. 5 – Very hard: advanced engineering, strict quality and compliance control.

💰 Revenue potential: 4/5 – High

Market interest 4/5
Strong interest in saving, investing and tax help.

Money flow 5/5
Money-related services command premium prices.

Active communities 4/5
Active investor and personal-finance communities.

⏱ Maintenance time: 4 h/week

What the human does:

  • Reviews a sample of AI outputs and corrects the prompts when quality drifts.
  • Checks legal and regulatory points and signs off risky decisions.

🔌 Integration Requirements (7)

IntegrationsWhy it is neededCost/month
Database
PostgreSQL / Supabase		Stores customers, orders, generated content and the agent's memory.0–25 €
Web server / hosting
Vercel / Render / Fly.io		Runs the website, the API and the agent's scheduled jobs 24/7.5–40 €
Payments
Stripe		Collects one-off payments and subscriptions, handles invoices and refunds.0–30 €
Authentication
Clerk / Supabase Auth		Secure sign-up and login, sessions and user permissions.0–25 €
Web scraping
Apify / Playwright		Collects public data (listings, sources, prices) the business depends on.20–150 €
LLM API
OpenAI / Anthropic / xAI API		The agent's brain: writes, analyses, decides and talks to customers.20–300 €
Email / newsletter
Brevo / Resend / Beehiiv		Sends onboarding, transactional emails and newsletters automatically.0–50 €
🧾 Maintenance cost – Total45–620 €

Included with purchase: 10 detailed prompts

Paste these prompts into your AI agent (ChatGPT, Claude, Grok, Cursor…) one after another. Together they give you a complete strategy, a technical build plan, pricing, an intake system, an autonomous operating loop, a marketing engine, guardrails, metrics, step-by-step MVP build instructions and an orchestrator that runs the business day to day.

  1. Master Strategy & Positioning
    Positioning, value proposition, target segment and business model.
  2. Technical Pipeline Design
    The full technical pipeline: tools, data flows and automations to deliver the offer.
  3. Product & Pricing Definition
    Minimum product, pricing tiers and what to leave out of version 1.
  4. Customer Intake System
    Automated acquisition and client intake: forms, qualification and onboarding.
  5. Autonomous Operating Loop
    The agent's daily operating loop: triggers, production, quality checks, escalation to a human.
  6. Go-to-Market & Content Engine
    Go-to-market engine: 30-day launch plan, content, channels and outreach scripts.
  7. Quality & Compliance Guardrails
    Guardrails: GDPR, AI Act, consumer law, quality and risk controls.
  8. Metrics, Learning & Iteration
    Dashboard: North Star metric, KPIs, alerts and weekly review.
  9. MVP Build Sequence
    A 14-day day-by-day MVP build sequence with tools and checkpoints.
  10. Master Orchestrator (Run the Business)
    The master orchestrator prompt that coordinates every sub-agent and runs the business.

Launch price €149 €79

Exclusive: hidden from everyone else after purchase · 10 prompts unlocked · one-time payment

Once purchased, the idea disappears for all other users.