18 years later, Thomas Ungricht and his co-founder run one of Switzerland's leading flex workforce platforms. Bootstrapped, no investors, operating across 6 countries.

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In this episode, Thomas breaks down what it actually takes to build infrastructure software from zero: no brand, no track record, no trust. He shares how they landed their first customers, why they opened their product roadmap to the public, and what nearly made them quit, more than once.

If you're building B2B SaaS or managing a team that does staffing, scheduling, or flex workforce operations, this one's for you.

Key lessons from this episode:

• The founding moment: one conversation about a girlfriend's bad day at work
• Auto-matching flex workers by skills, location, and availability — how it works
• Getting your first enterprise customer to trust you when you have zero references
• Why "software is never finished" — and how to manage a customer feedback loop at scale
• Building in public: what opening their feature request board actually unlocked
• Bootstrapping in the world's most expensive country, competing against VC-funded rivals
• Expanding into Germany's highly regulated HR market without breaking the product
• The honest answer: should they have targeted the larger shift planning market instead?

Chapters:

00:00 Introduction

01:30 Thomas's background

03:00 The founding story

05:20 Who is StaffCloud for?

08:15 The auto-matching engine: skills, availability, distance

12:00 The long road of a fully bootstrapped company

14:30 The #1 lesson: software is never finished

17:00 Building in public

19:00 20 years of entrepreneurship

22:00 Bootstrapping in Switzerland

24:30 Advice for early founders

27:00 How to get your first customers to switch when you have zero track record

30:00 Scaling to 6 countries

31:30 The honest regret question: niche vs. scale

33:00 Where to follow Thomas and StaffCloud

Resources & Links:

Thomas Ungricht → https://www.linkedin.com/in/thomas-ungricht-bb160b132/

StaffCloud → https://www.staff.cloud/en

StaffCloud on LinkedIn → https://www.linkedin.com/company/staffcloud/

Padrig Guillard → https://www.linkedin.com/in/padrig-guillard/

Orinn Studio → https://www.orinn-studio.com/

Full episode playlist → https://www.youtube.com/playlist?list=PLtfpuZuNQOVLdJ0Am6aC8cf8rIf8aTL_p

You’ll learn:

• The importance of dissecting your offer into granular value propositions and pain points
• How to map your total addressable market for maximum impact
• The core fundamentals: infrastructure, targeting, segmentation, and messaging
• Why quality and strategy overpower random testing or spin-text approaches
• The significance of building a mental map linking pain points, data points, and value propositions
• How to leverage large-scale email campaigns effectively
• The role of multi-channel outreach and when to scale into LinkedIn

Chapters

00:00 Introduction

01:59 Balsa Kosic's Journey to Founding Prospect

09:44 Building a Team and Agency Structure

11:37 The Philosophy of AI in Outbound Sales

12:27 Key Fundamentals for Successful Cold Emailing

18:20 Creating Effective Messaging Through Segmentation

22:24 Scaling Outbound Campaigns and Managing Leads

26:16 Integrating LinkedIn Outreach with Email Strategies

28:32 Future Plans and Growth for Prospect

Resources & Links:

• Prospeqt Official Website
• Balsa Kosic on LinkedIn

Connect with Balsa:

• LinkedIn

Connect with Padrig:

https://www.linkedin.com/in/padrig-guillard/

Paul shares insights into the challenges faced during the development of Nova, the importance of customer feedback in shaping the product, and the integration of AI technology to enhance sales efficiency.

He also discusses the lessons learned from his entrepreneurial journey and offers valuable advice for aspiring founders.

Chapters

00:00 Introduction to Nova and Its Impact on B2B Sales 02:26 Identifying the Problem: The Need for Automation in Sales

05:03 The Evolution of Nova: From Concept to Autonomous Seller

08:46 Customer-Centric Development: Building with Feedback

12:25 The Lean Startup: Building a Small, Agile Team

14:56 Integrating AI: Learning and Adapting in Real-Time 17:40 Lessons Learned: Reflections on the Entrepreneurial Journey

20:16 Defining a Successful MVP: Metrics and Criteria

23:12 Using Nova: The Product in Action

25:55 Future Developments: What's Next for Nova

27:06 Advice for Aspiring Founders: Navigating the Startup Landscape

Jakeer shares his journey from identifying recruitment challenges to building a platform that connects tech talent with companies. The conversation delves into the importance of AI in removing bias from hiring, the structure of ALLPS.ai, and the lessons learned from early customer feedback. Jakeer emphasizes the significance of understanding customer pain points and the need for a dedicated team to drive innovation.

Takeaways

• ALLPS.ai was founded to address recruitment challenges in the tech industry.
• The platform focuses on connecting tech talent with companies for mid to long-term projects.
• Leveraging AI to remove bias in the recruitment process.
• Understanding customer pain points is crucial for product development.
• Early feedback from customers helped shape the features of ALLPS.ai.
• Building a dedicated team is essential for executing the company's vision.
• The importance of GDPR compliance in AI solutions
• Jakir emphasizes the need to focus on impactful solutions in entrepreneurship.

Chapters

00:00 Introduction to Alps AI and Its Mission

03:06 Identifying Recruitment Challenges

05:34 Leveraging AI in Recruitment

08:11 Company Structure and Team Dynamics

11:00 Early Feedback and Product Development

15:45 Entrepreneurial Insights and Lessons Learned

19:53 Building a Team and Delegation

22:31 Using Alps AI for Internal Hiring

26:05 Future Innovations and AI Interviewer

27:48 Conclusion and Audience Engagement

Jakeer Mohammad:

https://www.linkedin.com/in/jakeer/

ALLPS.ai

https://www.linkedin.com/company/allps-ai/

https://allps.ai/

Padrig Guillard: https://www.linkedin.com/in/padrig-guillard/

Discover how Manukai is transforming traditional manufacturing processes by automating the production of highly precise metal parts, reducing time to market, and enhancing efficiency.

Pascal shares insights from their journey, starting from academia to identifying a critical market need through extensive interviews.

Tune in to learn about the challenges and triumphs of applying AI to non-mainstream applications and the importance of continuous improvement in even the most established industries.

Don't miss this engaging conversation about innovation, entrepreneurship, and the future of manufacturing.

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Padrig Guillard: https://www.linkedin.com/in/padrig-guillard/

Pascal Weber: https://www.linkedin.com/in/webepasc/

Follow Manukai: https://www.linkedin.com/company/manukai-ch/ https://www.manukai.ch/