Peter Levels on Indie Startups, AI, and Building Fast

·3h 53m
Shared point

Building small, independent startups

Peter Levels describes a solo, bootstrapped approach: build a small working product quickly, launch it, and judge demand by whether people pay. He favors using familiar tools and keeping the first version narrow rather than spending time on infrastructure or scaling prematurely.

He connects creative work with purpose and well-being, describing how physical effort and making things can provide direction. He recounts a period after university when he felt isolated and depressed while traveling, and how the project 12 Startups in 12 Months gave him a practical way to keep moving and learn by shipping.

“I have an idea in my mind and I build it, build like a micro mini startup.” — Peter Levels

Digital nomad life and finding startup ideas

Levels explains that he began traveling partly to escape expectations at home, then found the freedom of life on the road could also bring loneliness and a sense of being unrooted. He recalls late-night work sessions with friends in Bali and discusses places he liked, including Bangkok and Chiang Mai.

He says ideas can come from noticing everyday problems, observing solutions in other countries, and exploring new technology. His advice is to choose ideas that are feasible to build and test rather than assuming every interesting technology has a ready market.

From early experiments to AI products

Levels describes early projects including Play My Inbox, This House Does Not Exist, and Interior AI. He explains how experiments with image generation and fine-tuning led from AI-generated avatars to Photo AI, which creates portrait-style images from a person’s photos. He discusses the product’s early manual workflow, later automation, competition, image quality and safety checks, and the importance of varied training images.

He also describes using user preferences and downloads to test image-generation settings, and reflects on open models, the platforms that run them, and how small companies can build products on top of shared AI tools.

Practical tools, learning, and distribution

Levels favors a simple web stack—HTML, jQuery, PHP and SQLite—because it lets him build and deploy quickly. He questions whether newer frameworks always improve productivity, while acknowledging that different tools suit different problems. His approach to learning is to start making something, look up what is needed, and learn through the next practical obstacle.

He recommends building in public, treating criticism as potentially useful feedback, and finding users organically through posts and videos. He favors charging early rather than relying on large numbers of free users, keeping costs low, and automating recurring work where possible.

Nomad List, Hoodmaps, and online communities

Levels recounts starting Nomad List as a crowdsourced spreadsheet of cities, with information such as internet speed and cost of living. It later incorporated public datasets and community travel information, and supports user-organized meetups. He also explains Hoodmaps, a crowdsourced map where people label city areas and add or vote on local comments. He says it is costly to run and has not become a money-making project, but he wants it to exist.

The conversation also covers online moderation, including the use of GPT-4 to review city submissions and community chat, and the difficulty of balancing open participation with abusive or offensive contributions.

Automation, work habits, and personal choices

Levels explains how he automates meetups, routine jobs, health checks and error alerts with code and scheduled tasks. He describes his work routine, late-night coding sessions, music, caffeine, working from a couch, and the value of uninterrupted time for creating new projects. He also discusses minimalist travel, relationships, limited time for messages, and the decision not to sell some businesses, especially Nomad List.

Entrepreneurship, Europe, and advice to young people

Levels argues for building useful products and making room for entrepreneurial experimentation. He discusses what he sees as barriers for European startups, including regulation and established organizations, and supports a technology-forward outlook through the movement he calls EOC and his European version, EUOC.

He closes by advising young people to try their own path, accept that it may involve difficult periods, and commit seriously to work that feels like their own.

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