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Why I'm betting on AI-curated directories when Google AI Overviews answer the same queries

The obvious counterargument to everything I'm building is this: Google already does it. You type "best AI tools for video editing" into Google and an AI Overview surfaces a curated list, synthesized from the same kind of data I maintain, without requiring a click. My three directory sites — Top AI Tools , Find Games Like , and Open Alternative To — are competing with a feature baked into the world's dominant search engine. I launched these sites on 2026-04-23, built on an architecture that runs at about $25/month . Traffic is essentially zero — the sites have been indexed for three weeks and organic crawling takes time. The question I keep returning to isn't whether Google will eventually index my pages. It's whether anyone will prefer clicking through to my site over reading the AI Overview box that already answered the same question. Here's my honest, falsifiable position. The bet, stated plainly By October 2026 — six months post-launch — at least one of the three sites will show organic click trends in Google Search Console indicating real query traffic to specific comparison or filtered-browse pages. I define that as: at least 200 non-homepage organic clicks per month, sustained for two consecutive months, from queries I didn't directly drive through social or newsletter posts. If that doesn't happen, I'll publish the Search Console screenshots and write a post explaining what I got wrong. I'm committing to that here. The counterargument I take seriously AI Overviews have gotten genuinely good at list-and-compare synthesis. If you search "open source alternative to Notion" today, Google often returns a four-item structured list with one-sentence descriptions directly in the Overview box. My Open Alternative To site covers that territory. The AI Overview absorbs the zero-click version of that query. The optimistic response is: "my site appears as a citation source." The pessimistic response is: "Google consumes your signal and stops sending clicks." The pessimist

2026-06-21 原文 →
AI 资讯

What I Learned From DEV Challenges About Winning and Community!

I thought DEV Challenges were about winning. What participating in DEV Challenges taught me. A few months ago, I joined DEV. I didn't know many people. I wasn't well known. I simply wanted to become a better developer. Like many newcomers, I believed something very simple. "If I can win a challenge, maybe that means I'm becoming a real developer." So I kept participating. Sometimes I built retro games. Sometimes I experimented with AI. Sometimes I simply challenged myself to finish something before the deadline. Every challenge taught me something. Every badge made me smile. But after several months, I realized something unexpected. The biggest prize wasn't the badge. I started asking myself... What happens after the contest ends? The badge stays on my profile. The project goes to GitHub. Then... What's next? That question stayed with me for a long time. Then I realized something. I had been focusing on the contest. But the real value wasn't the contest. It was the community. Without DEV... I would never have discussed ideas with developers from around the world. I would never have received reactions from people I had admired. I would never have met developers with completely different ways of thinking. The challenge wasn't just building software. The challenge was becoming part of a community. Something I had rarely experienced before. Most communication happens inside companies. DEV felt different. It gave me a place to keep showing up. To keep learning. To keep improving. That matters more than I realized. The hardest part isn't building software. This surprised me. As I kept building apps, I realized something. Building an app is difficult. But building a place where people discover that app... is much harder. That's when I started appreciating communities like DEV even more. Someone had to build this place. Someone had to create a market where beginners and experienced developers could stand on the same stage. That's an incredible achievement. My goal changed.

2026-06-21 原文 →
AI 资讯

Show HN: Submarius – Global water clarity for divers

Submarius started as just a dashboard for diving conditions, but I quickly realized that there is simply no API for water clarity, nor even a simple way to calculate it. Divers call it viz, and it is one of the most consequential factors for a diving experience. So I dove the viz rabbit-hole. I landed on a state-augmented ensemble kalman filter. More details on the /clarity page. My question for the HN audience is if anyone knows of a better way of doing this? There is a ton of satellite data to

2026-06-21 原文 →