He built his app “Content Markt” at the start-up scene summer camp – Klaas Wibker is now looking for customers and users for the platform.
Klaas Wibker wants to turn normal people into influencers. He is currently building an online platform for this: “Content Market” is intended to bring companies and social media users together. Companies advertise campaigns there with a set budget. The users produce suitable videos and are paid depending on their reach – until the campaign budget is used up. “Maybe this platform can motivate people to create content themselves and make the social media landscape more diverse,” he says.
The 23-year-old has been developing the application in our summer camp “Start-up scene is looking for super founders” for two weeks. Eight fellows have been creating apps for consumers for more than two months. Professionals from tech and business support them as personal coaches.
“Startup scene is looking for super founders” is a ten-week startup fellowship from Gründerszene. Eight selected fellows develop consumer startups in Berlin using artificial intelligence – from the idea to the first product. During the program, the fellows work together in the Axel Springer high-rise and are accompanied by experienced entrepreneurs, investors and experts. Partners like OpenAI, Vercel, Dash0 and DHL support them with technology, know-how and mentoring. Gründerszene documents the entire journey with articles, videos and social media content – and shows up close how the next generation of startups is being created today. All resulting products belong to Axel Springer.
Klaas sets up the website in the first week of the start-up scene camp. For this he uses Codex from Open AI. He promptly orders the agentic AI model to set up his app. This includes the front and backend, login options and the website design. He is also planning a mechanism that checks his users’ Instagram and Tiktok content for the guidelines of the respective advertisers. In this way he wants to ensure quality. He also creates the data protection declaration, general terms and conditions and information on data deletion.
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User acquisition with AI
The platform is technically almost complete. Now the real challenge begins for Klaas: he contacts the first users and startups as potential customers to collect feedback. To do this, Klaas creates a list of creators with 5,000 to 20,000 followers who regularly advertise for brands. They often made their email addresses publicly visible for contact requests. Klaas wants to use that.
He uses the Chinese-Singaporean AI model Manus to research these medium-sized accounts. “The tool can work with Instagram via an interface, analyze profiles, record email addresses, read the number of followers and automatically categorize creators by topic,” he says. As soon as his first campaign is running, he writes to them specifically and invites them to the platform.
“The advantage of my model is that the creators publish the content on their own channels and the compensation is based on performance.” A Large Language Model checks whether submitted videos comply with the guidelines of the respective brands – and whether the contributions are correctly marked as advertising. Only videos that achieve enough reach are paid.
The cold call strategy
His other target group are young companies that don’t have the money for advertising. “The biggest advantage of my platform is that brands can build reach cheaply,” says Klaas. “This is particularly interesting for companies with small marketing budgets – significantly more than for large companies that already spend several million euros on marketing.”
Klaas networks with some founders on Linkedin and requests appointments to pitch his idea – without selling directly. “The most important thing is to go into the conversation with a clear goal,” he says. “But this goal is not to get a direct commitment for a campaign or an order.” In the first conversation he wanted to understand what problems the startup was facing and how he could help with his app. Only in further meetings do we “talk about sales or specific offers”.
Klaas learns this strategy at Philipp Strack’s summer camp. He is responsible for sales at the tech unicorn Dash0 and coaches the fellows. His input, says Klaas, “was new to me. I had originally thought that I would directly propose a campaign budget and show what results could be achieved with it. But that would have been the wrong approach and probably received inappropriately.”
Klaas has now set up his first test campaign: for our magazine Gründerszene. He provides 200 euros so that people can place start-up scenes in their content. He pays five euros for every 1000 clicks. He wants to find out how well his product works after two weeks.
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Klaas’ top learning after two weeks
Klaas’ most important learning: “Although AI can take on individual tasks well, it still needs human control for larger projects. If you only give it a rough goal, it will not pursue it independently to the end. Humans must continue to take the lead and orchestrate the implementation.”
His weekly conclusion: “I have only sent a few outreach messages so far. I would like to do so now. Many of my LinkedIn contact requests have now been accepted and I will now specifically write to these contacts.”
Goal for the third week: His AI agent has so far read the number of clicks and captions of his users’ posts. But companies “also want to understand whether a campaign was successful. That’s why I would like to add analysis functions – for example for comments, their content and number as well as for likes. From this it should be possible to derive how successful a campaign actually was.”
Do you have questions or want to talk to the fellows about their product? Write to them here.
“Start-up scene is looking for super founders” powered by Dash0, DHL, OpenAI & Vercel.
