Starnus: From Logistics Robots to AI Sales Employees—A Dutch Team’s Big Pivot

2026-02-12 | Product Hunt | Official Website

30-Second Quick Judgment

What is it?: Describe your ideal customer profile in plain English, and Starnus finds matches from a 1.3B+ database, sends automated emails, and handles LinkedIn outreach until a meeting is booked. Essentially, it's an "AI Sales Intern" for €20/month.

Is it worth it?: If you are a B2B indie hacker or a small team, it's worth 10 minutes of your time. At €20/month, it's much cheaper than Apollo.io ($49) or Instantly ($37), and you don't need to be a sales ops expert. However, keep in mind this is a 7-person Pre-Seed team; stability and long-term survival are risks.

Three Key Questions

Is it for me?

Target User: Technical founders and small teams (1-10 people) who can code but don't know how to sell. CEO Khashayar fits this profile perfectly—an engineering PhD who got frustrated with complex sales tools while trying to sell B2B.

Do you fit? You are the target user if:

• You built a B2B SaaS but have no idea how to find customers.
• You're tired of using Apollo for leads + Instantly for email + HubSpot for follow-ups.
• Your monthly sales budget is under $100.

Use Cases:

• Rapidly validating a new B2B product to see if people will pay for it.
• Indie hackers who can't afford an SDR and need an automated alternative.
• You're already using multiple tools but find the workflow too cumbersome (though existing stacks may be more mature).

Is it useful?

ROI Judgment: If your monthly sales budget is <$50, it's worth a shot. If you already have a mature sales process and tool stack, there's little reason to switch.

Is it buzzworthy?

The "Wow" Factor:

• Natural Language ICP: Instead of setting 10 filters in Apollo, just say "Find me Series A AI companies in Europe with 10-50 employees."
• All-in-One Workflow: From prospecting to emailing to booking, you don't have to jump between 5 different tools.

Real User Feedback:

"20+ devs asked about Starnus after seeing the post" — @starnustech (Twitter) "Highly ambitious startup, lots of freedom to explore ideas, friendly environment" — Glassdoor employee review "They put micro in micromanagement" — Another Glassdoor employee complaint

The product is brand new, so public reviews are scarce. 194 upvotes and a Staff Pick on Peerlist suggest initial interest from the developer community, but it hasn't been market-tested at scale yet.

For Indie Hackers

Tech Stack

• Backend: Python (offers a Python SDK for developers to plug in their own agents)
• AI Architecture: Multi-agent collaboration — 25+ specialized AI agents orchestrated by the Starnus Core Engine
• Database: 1.3B+ profiles (integrated third-party sources)
• Email Delivery: Integrated with Smartlead (handles warmup and sending)
• Signals: Industry, company size, location, funding stage, hiring activity, tech stack, growth signals

Core Implementation

Starnus doesn't build everything from scratch; it acts as an "Agent Orchestration Layer." Each agent is an integration of a third-party tool (e.g., Smartlead for email). The Core Engine breaks down natural language prompts into multi-step tasks, assigns them to agents, and aggregates the results.

Pros: Fast development (no need to build email infrastructure). Cons: Data flows through multiple third parties, making privacy control weaker.

Open Source Status

• Is it open source?: No, no public repositories found on GitHub.
• Similar Open Source Projects: CrewAI (Multi-agent orchestration), AutoGen (Microsoft's agent framework).
• DIY Difficulty: Medium-High. The orchestration layer isn't hard (can be built in a week with CrewAI/LangGraph), but accessing 1.3B+ data sources and handling email deliverability is tough. Estimated 2-3 person-months.

Business Model

• Monetization: Monthly subscription
• Pricing: Starting at €20/month
• User Base: Not disclosed (early stage)

Giant Risk

High Risk. HubSpot already has AI Agent features, and Salesforce's AgentForce targets this exact scenario. Apollo.io and Instantly.ai are also iterating rapidly. Starnus's only real moats are "price" and "simplicity for small teams"—both of which could be crushed if giants lower prices or launch free versions.

For Product Managers

Pain Point Analysis

• Problem: B2B outreach is painful for technical teams—they have to manage lead gen, enrichment, email sequences, and tracking across multiple tools.
• Severity: Medium-High. A major pain point for tech founders (who don't know sales tools), but less so for experienced sales teams.

User Personas

• Persona 1: Technical founder who built a B2B SaaS but knows nothing about sales.
• Persona 2: Small team (1-5 people) without a dedicated SDR needing low-cost acquisition.
• Scenario: Cold outreach during the PMF validation stage or early-stage customer acquisition.

Feature Breakdown

Competitive Differentiation

Key Takeaways

1. Natural Language over Filters: Using AI to understand "Find me Series A AI companies" is a much better UX than making users set 10 filters.
2. Pivot Narrative: The story of pivoting from robots to AI sales is valuable for brand storytelling.
3. Aggressive Pricing: Using €20/month to capture the market before scaling up.

For Tech Bloggers

Founder Story

This is a "triple pivot" story. CEO Khashayar Mansourizadeh grew up in Tabriz, Iran, fell in love with robotics during his Master's in Milan, and moved to Eindhoven for his PhD. In 2021, he founded Starnus Technology to build modular robots for warehouses—the "world's first fully modular autonomous mobile robot system."

He soon realized 90% of the market wasn't ready for robots due to poor infrastructure and old IT systems. Pivot #1: From hardware to an AI software suite. He then found that AI Agents were most effective in sales. Pivot #2: Focusing on "AI Sales Employees."

Co-founder Ayda Golahmadi shared on PH that she was responsible for outreach and "tested every tool on the market, only to be driven crazy by their complexity and price." CTO César López is an Assistant Professor at TU/e—an academic-turned-CTO.

The name "Starnus" comes from "starling," birds known for their spectacular murmuration. It hints at the multi-agent collaboration philosophy.

Controversies/Discussion Angles

• Is pivoting wise or aimless? Three directions in three years—is it agility or a lack of focus?
• Micromanagement vs. Culture: Glassdoor reviews vs. the "friendly environment" claim.
• Is €20/month sustainable? Can a low-price strategy support a 7-person team at the Pre-Seed stage?

Hype Data

• PH Rank: 20 votes
• Peerlist: 194 upvotes, #4 Product of the Week, Staff Pick
• Twitter: 20+ developers inquiring in threads
• Instagram: 47 followers (very early stage)

Content Suggestions

• Angle: "From Logistics Robots to AI Sales: A Dutch Startup's Triple Pivot."
• Trend Jacking: Connect it to the "Company of One" and AI Agent trends.

For Early Adopters

Pricing Analysis

Comparison: Apollo.io's free version is limited; Instantly.ai is $37/month. Starnus's €20/month is one of the lowest in the market.

Getting Started

• Time to Value: 10-15 minutes
• Learning Curve: Low (Natural language, no sales experience needed)
• Steps:
  1. Sign up at starnus.com
  2. Describe your ideal customer in plain English
  3. Review the AI-matched prospect list
  4. Set up outreach templates and cadence
  5. Let it run and wait for meeting bookings

Pitfalls & Complaints

1. Too New: Pre-Seed stage with no public case studies. You are the "guinea pig."
2. Opaque Data: Where do the 1.3B+ profiles come from? What's the accuracy rate?
3. Heavy Dependencies: Relies on third parties like Smartlead; if they go down, Starnus goes down.
4. Domain Experience: The team's background is in robotics, not sales automation.

Security & Privacy

• Storage: Cloud (location undisclosed; Dutch company, so GDPR should apply).
• Privacy Policy: Check the website for specific terms.
• Audits: No public security audit information found.

Alternatives

For Investors

Market Analysis

• AI Sales Market: $24.64B (2024) → $145.12B (2033), CAGR 22.2%
• AI Agent Market: $7.6B (2025) → $47.1B (2030), CAGR 45.8%
• Drivers: Autonomous agents hold a 65.7% market share; 92% of enterprises are willing to invest in AI.

Competitive Landscape

Timing Analysis

• Why Now?: In 2026, AI Agents are moving from copilot to autonomous; 80% of enterprise apps will embed agents. Demand for "Company of One" tools is growing.
• Tech Maturity: Orchestration frameworks (LangGraph, CrewAI) are mature; LLMs are capable of handling sales outreach.
• Market Readiness: Medium. High acceptance of AI tools, but low trust in new brands.

Team Background

• CEO Khashayar Mansourizadeh: PhD in Engineering (TU/e), Master's (Polimi), Robotics background.
• CTO César López: Assistant Professor at TU/e, Academic + Engineering background.
• Co-founder Ayda Golahmadi: Hands-on marketing and outreach experience.
• Team Size: 7 people.
• Track Record: Golden Lightbulb Innovation Award, CES 2023/2024 exhibitors.

Funding

• Status: Pre-Seed (Amount undisclosed)
• Investors: Great Stuff Ventures (Amsterdam angels), YES!Delft (TU Delft incubator).
• Valuation: Not disclosed.

Conclusion

The Bottom Line: Starnus is an intriguing "AI Sales Intern"—cheap and easy to use. However, the product is very new and the team's sales experience is limited. Use it as a tool to experiment, but don't make it a critical dependency yet.

Resource Links

2026-02-12 | Trend-Tracker v7.3 | PH #20