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Semrush charges $139.95/month. Ahrefs charges $129/month. A guy named Ben built the open-source alternative that you can run on your computer. It is called OpenSEO. Enter a competitor's website and it reveals the keywords bringing them traffic, the pages winning those searches, and the backlinks helping them rank. And enter your own site and it tracks rankings, crawls technical problems, reads Search Console, and shows whether ChatGPT or Google AI Overviews mention your brand. Then connect Claude or Codex. Your agent can pull the real numbers, compare opportunities, cluster keywords, and save a strategy back into the dashboard instead of guessing from a prompt. The hosted version starts at $10 a month. The entire codebase is MIT licensed, so you can also self-host it and pay DataForSEO directly for only the data you use. No, it does not magically reproduce every database and advanced feature Ahrefs built over a decade. But it breaks the most important rule of the old SEO market: You no longer need their permission to own the tool.
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Pro tip if you ran out of Ahrefs MCP credits for your agents Just ask Codex to use Chrome and login to your account to run the reports there instead. It just grinds away in it's own little tab group, does all the keyword cluster and competitor research, and then implements!
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Who is the @thsottiaux of @ahrefs? I want regular MCP credit resets for my agents! My vote goes to @ViperChill and I will trade site audit, brand radar, data exports for more sweet credits 🥺
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seeing a big DR drop across all my domains in ahrefs today. anyone else? curious if it's just me or something on their end 🤔
OpenSEO: Open-source SEO tool — can it replace Ahrefs / Semrush? Self-hosted. Keywords, rankings, backlinks, and site audits run through DataForSEO on a pay-as-you-go model — no need to subscribe to Ahrefs or Semrush first. MCP and Agent Skills can plug the same data into Claude Code and Cursor. A good fit when query volume isn’t huge and you want to control deployment and cost yourself. More flexible than a fixed subscription. 👉
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Elon Musk was the most-searched person in the United States in early 2026, with an estimated 4.38 million monthly Google searches according to Ahrefs. By May the number dropped to around 1.8–2.2 million monthly, still placing him among the top searched names in the U.S. There is no reliable public data for total worldwide searches across all search engines. Google holds roughly 90% of global search traffic, so the U.S. figures are the strongest available signal. Bottom line: Extremely high and sustained search interest, but we cannot confirm he is the single most-searched person on the entire internet for 2026.
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My real use cases for Grok Bot so far: 👇 I connected it to email. Now it filters the urgent stuff that actually needs my attention. I connected it to Intercom and GitHub. Our help center docs update automatically when a PR changes the UI or ships a new feature. I connected it to Cursor. Bug reports and feature requests from Intercom open the Cursor bot, and it starts triaging or implementing them. I can wake up to a PR. I basically hired another engineer. I connected it to Slack. When customer support asks product questions: if it’s covered in our docs, the Intercom bot pulls it. If not, the Cursor bot jumps in and pulls answers straight from the code. I just opened up that knowledge base to the whole team. I connected it to our CMS, Google Search Console, and Ahrefs. Now I’ve got a content engine that brainstorms ideas, builds a plan, and helps create content. I connected it to X, set the keywords and topics I care about, and now I get a briefing every morning. I have a personal secretary. I connected it to my bank statements. I can ask anything finance-related, revenue, spend, P&L, etc. No more QuickBooks, and honestly, I might fire my accountant. I paid $200/month for Grok Bot. Still expensive?
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😴 The most common dream in selected countries: 🇦🇷 Argentina: spiders 🕷️ 🇦🇺 Australia: teeth falling out 🦷 🇦🇹 Austria: snake 🐍 🇧🇩 Bangladesh: marriage 💍 🇧🇹 Bhutan: rainbow 🌈 🇧🇼 Botswana: eating 🍽️ 🇧🇷 Brazil: snake 🐍 🇰🇭 Cambodia: crocodile 🐊 🇨🇦 Canada: teeth falling out 🦷 🇨🇱 Chile: mice 🐁 🇨🇿 Czechia: death ☠️ 🇩🇰 Denmark: pregnancy 🤰 🇪🇬 Egypt: snake 🐍 🇪🇪 Estonia: bears 🐻 🇪🇹 Ethiopia: shoes 👟 🇫🇷 France: ex 🧍‍♂️ 🇩🇪 Germany: pregnancy 🤰 🇬🇷 Greece: hat 👒 🇭🇹 Haiti: car 🚘 🇮🇸 Iceland: snow ❄️ 🇮🇳 India: snake 🐍 🇮🇩 Indonesia: pregnancy 🤰 🇮🇪 Ireland: teeth falling out 🦷 🇮🇹 Italy: pregnancy 🤰 🇯🇵 Japan: ex 🧍‍♂️ 🇲🇽 Mexico: ex 🧍‍♂️ 🇳🇱 Netherlands: teeth falling out 🦷 🇳🇿 New Zealand: teeth falling out 🦷 🇳🇪 Niger: death ☠️ 🇳🇬 Nigeria: sex 🍆 🇳🇴 Norway: teeth falling out 🦷 🇵🇰 Pakistan: the dead 🪦 🇵🇸 Palestine: cutting hair 💇 🇷🇺 Russia: snake 🐍 🇸🇦 Saudi Arabia: marriage 💍 🇿🇦 South Africa: money💰 🇰🇷 South Korea: falling into water 🌊 🇪🇸 Spain: teeth falling out 🦷 🇱🇰 Sri Lanka: death ☠️ 🇸🇪 Sweden: teeth falling out 🦷 🇹🇷 Turkey: snake 🐍 🇦🇪 UAE: teeth falling out 🦷 🇬🇧 UK: teeth falling out 🦷 🇺🇸 USA: teeth falling out 🦷 🇻🇪 Venezuela: lice According to Ahrefs and DreamMoods
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I was the biggest skeptic of AI video editing. Until recently. So I asked one of the most talented creators I know (@cinkotweets) to break down exactly how AI can support the entire video process. The guy cooked. Here are the high-level notes: The tl;dr Right now AI mostly solves two genres. The video essay and the tutorial. Both have a straightforward outline, a script you stick to, and a one-shot record that AI can chop against. Other formats still lean heavily on craft. Easy Mode: research and ideas without losing your voice The gist: Use AI to find opportunities and pull source material from tools and team discourse. You still decide what is worth saying. Don't outsource final sign-off. Pro tips: - Marketplace is huge. Type YouTube and you will see VidIQ, TubeBuddy, and a pile of others. If your company shows a “request” button, go bug the admin. Do not wait on the queue. - Hook Ahrefs into Claude (and Notion) and ask something like: use the Ahrefs connector to find AI content opportunities this week, and tell me if videos already sit in the top five. - Tribal Knowledge is the other half. It is a skill that scrapes every connector he has (Slack, Notion, meetings) and surfaces real conversations around a topic so the idea comes from work talk. - Turn that into a personalized daily brief for the kind of content you make. Anthony built a content planning app with Codex. Every day it drops a brief, proposes video topics, and lets him queue the ones he likes. Notion is the shared backend so the org can see the same database without living in his app. Even on Opus, a daily brief runs about 8 cents. Hard Mode: script and first edit with AI assistants The gist: AI helps you outline and cut. You keep the words, the takes, and the judgment. Editing is not just the blade button. It is taste. If you are an editor, you have an advantage. If you have vision but not technical chops, you can still leverage these tools. Pro tips: - Create the outline as a human. Anthony still believes you should not let AI one-shot structure. His format is three columns: dialogue, visuals (what is on screen while you talk), and sound effects. - Then use the Scriptwriter skill. Point it at a topic (he demoed “what is an MCP”) and it interviews you through the whole creative process so you speak like yourself. Short-form or long. You can ramble, go out of order, contradict yourself. It sorts after. - Beat by beat it spits your words back as bullets. You react raw in the moment. Those reactions become the real script. It also prompts visuals and SFX while you talk (day-to-night, crickets, rooster) so creativity stays in the loop. Hooks are hard. You can ask it to interview you into a better hook without handing it the whole voice. *Film it yourself* - Split editing into phases. Baseline “radio cut” (dialogue paced). Then VFX / archival / B-roll. Then audio (dialogue mix, SFX, music). - Codex + Final Cut: pointed it at the footage and the script, asked for a baseline cut. First pass had half-second gaps of silence. One follow-up (“every clip is consistently half a second off”) and it produced a fluid cut with no awkward pauses, dropped straight into Final Cut. Cost: two prompts burned a big chunk of a 5-hour context window (100% down to 14%), but against weekly Codex usage (decks, research, more content) he still had about 53% left. - Codex in Final Cut won the radio cut. Descript was faster on the clock and worse on taste cleanup. God Mode: polish stack plus a measurement loop Definition: hand off the laborious extras (B-roll, motion, music, reporting). Keep the taste calls. Close the loop so you know if the work is working. Pro tips: - B-roll / archival / VFX: Anthony spun an “archival finder” agent. He gave it a vibe (internety, clicky, fun) and a reference (simple, warm, approachable using shows, TV, movies). It came back with taste. - It also downloaded clips, filed them, dropped them on the timeline, and added a paper texture background he had asked it to design. All via the Final Cut connector plus computer use. - Motion graphics: Remotion (free, open source) plus an agent. Dump everything in your head. Ask for a plan and structure first. He asked for an Apple liquid glass ultra-clean feel. Plan, approve, tweaks, then it popped into the Final Cut timeline in about 9 minutes 10 seconds. That used to be a brief to a VFX designer (timing, seconds, design, wait for turnaround). - Music and SFX: Epidemic Sound via MCP (Artlist and free-sound options exist too). Same pattern: send the URL if you need to install, give it a creator reference (he used Zoe), iterate because you are picky about music. It dropped tracks into the timeline and used Epidemic’s crop/trim so the music was cut for the edit. Mix sat under vocals instead of overpowering them. Not just music. Mouse-click SFX timed to B-roll. Full episode:
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