I Built an AI Tools Directory. These 10 Lessons Hurt the Most.
The author shares insights from building an AI tools directory, emphasizing that success relies more on user experience than technology. Key lessons include the importance of categorization, the impact of initial tool selections, and the necessity of clear pricing. The article highlights the challenges of gaining user trust and traffic while navigating the fast-paced AI landscape.
- ▪The first 20 tools listed significantly influence user engagement and bounce rates.
- ▪Clear pricing labels on listings improved user trust and engagement.
- ▪Mobile optimization is crucial, as a majority of users access the site via mobile devices.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3947051) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } 武乐丹 Posted on May 24 I Built an AI Tools Directory. These 10 Lessons Hurt the Most. #ai #webdev #productivity #startup I Built an AI Tools Directory. These 10 Lessons Hurt the Most. What nobody tells you about building a content site in the AI age. Six months ago, I launched an AI tools directory. I thought the code would be the hard part. Build a scraper, spin up a database, design a clean UI. Weekend project. Wrong.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).