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175 million Telegram messages. 2 million channels. Not indexed by Google. 🔎 deaddrop searches a scraped Telegram archive - surfacing content that normal search engines will never find. Free for recent data. A solid Telegago alternative:

55,527 Aufrufe • vor 4 Monaten •via X (Twitter)

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HERMES AGENT CAN RUN YOUR SEO. CONNECT IT TO GOOGLE SEARCH CONSOLE AND GOOGLE ANALYTICS. IT MONITORS, REPORTS, AND WRITES CONTENT BASED ON YOUR ACTUAL DATA. stop paying an SEO agency. stop doing the tedious work yourself. Hermes handles it 24/7. WHAT THE SEO AGENT DOES: → pulls clicks, impressions, CTR, and position data from Google Search Console automatically → tracks traffic, user behavior, and conversions from Google Analytics → checks which pages are indexed and which are not → submits sitemaps for indexing → inspects URLs for crawl or indexing issues → identifies ranking drops and keyword opportunities → writes content based on what your data says works → generates weekly SEO performance reports → delivers everything to Telegram CONNECT GOOGLE SEARCH CONSOLE: two paths: 1. COMPOSIO (managed, easiest): paste this into Hermes chat: https:// composio. dev/hermes or add to config.yaml: mcp_servers: composio: url: "https:// connect.composio. dev /mcp" headers: x-consumer-api-key: "YOUR_COMPOSIO_API_KEY" Hermes prompts you to authenticate. one OAuth flow. done. 2. CLAWLINK (one-click): 9 Google Search Console tools exposed via MCP. hosted auth. nothing to run or maintain. paste the install prompt into Hermes chat. CONNECT GOOGLE ANALYTICS: same Composio setup. one MCP endpoint handles both Search Console and Analytics. authenticate once. both data sources available. your agent can now query: → search analytics (clicks, impressions, CTR, position) → traffic by source and landing page → user behavior and conversions → indexing status for any URL → sitemap status WHAT TO AUTOMATE WITH CRON: weekly SEO report (Monday 8am): "pull search analytics for last 7 days. compare vs previous week. flag any keyword that dropped more than 5 positions. flag any page that lost more than 20% clicks. deliver report to Telegram." daily indexing check (6am): "check if any new pages are not indexed. if found, submit sitemap and report to Telegram." wakeAgent gate: skip if all pages indexed. content opportunity scan (weekly): "find queries where my site appears on page 2 (positions 11-20) with high impressions. these are the keywords one good article could push to page 1. deliver list to Telegram with suggested topics." CONTENT WRITING FROM YOUR DATA: the difference between generic SEO content and content that ranks: your agent has your Search Console data. "write a blog post targeting [keyword]. my current position is 14 with 2,400 monthly impressions. check what pages currently rank 1-3 for this keyword. write something better. include the gaps they miss." the agent researches competitors via Firecrawl, checks your existing content in the wiki, and drafts based on real data. not guesswork. WHAT THIS REPLACES: → SEO agency: $1,000-5,000/month → SEO tool subscriptions: $100-300/month → manual reporting: 3-5 hours/week → manual content research: 2-4 hours/week Hermes SEO agent: one profile with two MCPs. cron jobs handle the monitoring. you handle the decisions. SETUP IN 10 MINUTES: 1. create a profile: hermes profile create seo-agent 2. write SOUL.md: "you are an SEO specialist. monitor search performance daily. flag ranking drops and opportunities. write content based on Search Console data. weekly report every Monday." 3. connect Google Search Console + Analytics via Composio or ClawLink 4. set cron jobs (weekly report, daily index check, content opportunity scan) 5. set model: DeepSeek V4 for routine monitoring. Sonnet for content writing. 6. connect to Telegram for delivery. the agent runs. you review reports. rankings improve because you stopped guessing and started using your own data. comment HERMES and I'll send you the full setup guide for running Hermes Agent as your SEO specialist. full Hermes architecture deep-dive in the article 👇

YanXbt

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A 28 year old paid $18,000 to invent 4 MILLION fake customers. JPMorgan paid her $175 MILLION without checking a single name. Then paid another $100 MILLION for the lawyers who put her in prison. > Charlie Javice founded Frank in 2017 at 24 years old. > A platform that helped college students apply for financial aid. It worked. Just not at the scale she was about to claim. > By 2019 she was on Forbes 30 Under 30 and by 2021 JPMorgan wanted to acquire her. > The bank offered $175 MILLION but on one condition: prove you have the customers you say you have. > Frank had fewer than 300,000 real users. > Javice paid a data science professor $18,000 to generate a list of 4.25 MILLION fake students. Fake names, fake emails, fake birthdates and even fake income levels. > JPMorgan signed the check without verifying a single one. > She personally walked away with $29 MILLION and a managing director title at the largest bank in America. > Then JPMorgan tried to send marketing emails to Frank's supposed 4 MILLION customers. > 70% bounced. > An engineering director testified that the week before the deal closed, Javice asked him to help fabricate the numbers. > He refused and she told him: "We don't want to end up in orange jumpsuits." > She was arrested in 2023. While out on $2 MILLION bail awaiting trial, she became a Pilates instructor in South Florida. > In March 2025 a jury convicted her on all four counts bank fraud, securities fraud, wire fraud, and conspiracy. > Sentenced to 85 months in federal prison and was ordered to pay $287.5 MILLION in restitution. > Then the final twist. Because the acquisition contract had made her a JPMorgan employee, the bank was legally required to cover her entire legal bill. It exceeded $100 MILLION. > The judge told JPMorgan they had "a lot to blame themselves" for not checking before signing. Then sentenced her anyway. She paid $18,000 to fake 4 MILLION customers and sold the lie to the largest bank in America. JPMorgan paid $175 MILLION for the company. Then $100 MILLION for the lawyers who sent her to prison.

Comet

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Elon Musk: We've mostly fixed the bug which would give you way too much of something if you interacted with a particular subject matter. And then the really big change which is where Grok literally reads everything that's posted to the platform Which actually there's about 100 million posts per day. So it's 100 million pieces of content per day. And I think that's actually just maybe just in English. I think it goes beyond that if it's outside of English. So Grok is going to we're going to start off reading the really what Grok thinks are the top 10 million of the 100 million and we'll actually read them and understand them and categorize them and match them to users This is not a job humans could ever do. And then once that is scaling we'll add the entire 100 million a day. So it's literally going to read through 100 million things and show you the things that it thinks out of 100 million posts per day, what are the most interesting posts to you? Interviewer: How much of Colossus will that take? Like... lot of work. Yeah, that's like is it tens of thousands of servers like to do that every day? Elon Musk: Yeah, my guess is it's probably on the order of 50k H100s, something like that Interviewer: Wow. And that will replace search, so you'll be able to actually search on Twitter and find things in like with a with a plain language... Elon Musk: We'll have semantic search where you can just ask a question and it will show you all content whether that is text, pictures, or video that matches your search query semantically

X Freeze

89,232 Aufrufe • vor 9 Monaten