标签：#c

Your customers have stopped Googling "best note-taking app." They're asking ChatGPT, Perplexity, and Gemini instead — and getting back a short list of three or four products. If your brand isn't on that list, you're invisible, and unlike a Google ranking you can't even see where you stand. That's the problem I set out to measure. This post is the build breakdown: five AI answer engines, one uniform result shape, a mention-detection core that doesn't lie to you, and the honest gotchas I hit around cost and billing. The whole thing runs as a paid Apify Actor written in async Python. The niche has a name now — GEO (Generative Engine Optimization) or AEO (Answer Engine Optimization). Think SEO, but the search engine is a language model and the "ranking" is whether you get named in the answer. The core question Give the tool a brand, its competitors, and the buyer-intent questions your customers actually type: { "brand" : "Notion" , "competitors" : [ "Obsidian" , "Coda" , "Evernote" ], "prompts" : [ "best note taking app for students" , "Notion vs Obsidian which should I use" ], "engines" : [ "perplexity" , "chatgpt" , "gemini" , "claude" , "aiOverview" ], "samplesPerPrompt" : 3 } It asks each engine each prompt (several times, because LLM answers vary run-to-run), then analyzes every answer for: were you mentioned, how early, were you recommended or just listed, what's the sentiment, who else got named, and — the part incumbents skip — which domains each engine cited. That last one is the actionable output: it tells you which websites the AI trusts for your category, i.e. where you need coverage. Architecture: one shape to rule them all The trick that keeps the whole thing sane is that every engine adapter — whether it's a clean REST API or a messy HTML scrape — returns the exact same record shape : { " engine " : " perplexity " , " prompt " : " best note taking app for students " , " sampleIndex " : 1 , " responseText " : " ... " , " citations " : [{ " url " : " ... "

The social media site says it will amplify posts made by users' mutual followers' to give the feed more of a communal feel.

The company is raising at least $75 million, led by Robot Ventures, with significant participation from USV and other prominent investors.

Hi all, author here. SX started as a CLI to let developers share skills across AI clients without having to rely on git for storage. This allowed sharing at the Repo/Team/Org and Personal level. However, the more we spoke to users the more we realized that non-technical users were actually using skills more and more but they had no way to share. And there was no way you were going to get your legal team to install and learn git. SX 2.0 is targeting non-technical teams by adding a native Mac, Win

Hi HN, I'm Kevin. I built ContextVault because I kept running into the same problem with AI tools. Every project accumulated prompts, coding conventions, architectural decisions, examples, and other pieces of context that made the models significantly more useful. The problem was that this information quickly became fragmented. Some lived in ChatGPT Projects, some in Claude, some in Markdown files, some in internal documentation, and some only existed in previous conversations. Late last year, I

Project Hail Mary, They Will Kill You, and The Long Walk are among the films deserving of your eyeballs this month.

The actor, who died at age 78 on Monday, embodied a passionate approach to research and positive masculinity in his role as paleontologist Alan Grant in the 1993 blockbuster Jurassic Park.

I've been using Linux all my life. I’d like to be able to claim that it’s stable, but that’s not my experience :) So I’d like to get better at recovering from freezes and crashes, and finding the root cause. I make extensive use of Ctrl+Alt+f3, and magic system request keys (Ctrl+Alt+PrtSc+f; Ctrl+Alt+PrtSc+reisub). But often the system is too far gone to drop to a virtual terminal. In these cases, I usually try to find clues in dmesg/syslog/journalctl. The bulk of issues seem to be caused by Nv