I built a tool to make AI recommend you (and I'm conflicted about it)
So I've been obsessed with a weird question for the past 6 months, what happens to SEO when everyone starts asking ChatGPT for recommendations instead of Googling? The answer, apparently, is chaos. And maybe opportunity? I built FirstClick because I noticed something strange. My previous startup was getting zero traffic from AI assistants, but our competitor (objectively worse product, sorry not sorry) was getting mentioned by Claude and Perplexity constantly. It drove me crazy. So I reverse engineered why. Turns out there's a whole new game being played and most founders don't even know it…
What it does
In the maker’s words, at launch
So I've been obsessed with a weird question for the past 6 months, what happens to SEO when everyone starts asking ChatGPT for recommendations instead of Googling? The answer, apparently, is chaos. And maybe opportunity? I built FirstClick because I noticed something strange. My previous startup was getting zero traffic from AI assistants, but our competitor (objectively worse product, sorry not sorry) was getting mentioned by Claude and Perplexity constantly. It drove me crazy. So I reverse engineered why. Turns out there's a whole new game being played and most founders don't even know it exists yet. FirstClick does three things 1. Writes BOFU comparison content automatically ("X vs Y", "Best alternatives to Z") 2. Optimizes it specifically for AI citation, not just Google 3. Tracks when/if AI models actually recommend you The uncomfortable part is that I'm essentially helping companies game AI search results. Same way SEO gamed Google for 20 years. Is this... good? Bad? Inevitable? I go back and forth honestly. Part of me thinks this is just the new reality founders need to adapt to. Part of me wonders if we're all just training AI on increasingly optimized marketing content until nothing means anything anymore. Anyway, it works pretty well. Happy to answer questions about how AI models decide what to recommend, the technical implementation, or why I probably should have just become a photographer.
Does the same job
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I wanted to find a product idea to build. "Build things people want," right? So I thought, why not literally find people saying what they want? I wrote a script to collect thousands of Reddit posts where people are looking for a solution or complaining about a problem. Then I used GPT to filter out the noise and score each one based on how viable the idea seemed. Threw together a simple search interface so anyone can explore them. I was planning to build a more advanced paid version of this, but figured I'd share the raw version first to see if it's actually useful to anyone.
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Hi HN! I built this tool, because Large Language Models are hallucinating their asses off and I wanted to test just how bad it is with a topic I know best - myself. I'm sure there are other egos out there who google themselves and essentially this is the new googling yourself. It's early beta, so lots of room for improvement of course.
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Community, All the HN belong to you. This is an archive of hacker news that fits in your browser. When I made HN Made of Primes I realized I could probably do this offline sqlite/wasm thing with the whole GBs of archive. The whole dataset. So I tried it, and this is it. Have Hacker News on your device. Go to this repo (https://github.com/DOSAYGO-STUDIO/HackerBook): you can download it. Big Query -> ETL -> npx serve docs - that's it. 20 years of HN arguments and beauty, can be yours forever. So they'll never die. Ever. It's the unkillable static archive of HN and it's…
Dev tools · Dec 2025 · hackerbook.dosaygo.com
