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Just shipped Google Search Console integration in my open-source analytics platform. Not a boring GSC clone — click any keyword to instantly see its pages, countries, and devices on one screen. Something GSC's own UI doesn't do. 🔍 One-click connect 📈 90-day rolling sync 🚀 Winners / Losers /...

50,482 次观看 • 5 个月前 •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

41,034 次观看 • 2 个月前

Google Search Console gives you numbers. GSC Wizard gives you answers. Decades of doing data driven SEO. Every week I'd export GSC data, wrangle it in spreadsheets, try to find the story in the numbers. Then do it again for the next client. And again. So I built the tool I always wanted: GSC Wizard turns raw Search Console data into actionable intelligence. No spreadsheet gymnastics required. Here's every feature and what it actually solves: ◆ SITE RESTRUCTURING & TOPICAL MAPPING BERTopic clustering with multilingual-e5-large-instruct embeddings maps your entire site into topic clusters. Visual drag-and-drop tree hierarchy lets you redesign site architecture. Auto-generates redirect maps, internal linking plans, and content briefs for gaps. Works across languages so you can see coverage gaps per topic per market at a glance. ◆ CANNIBALIZATION DETECTION Detects when pages compete for the same keywords. Not just keyword overlap, but intent-level conflicts. Shows which URL should win and which should merge or redirect. ◆ CONTENT DECAY MONITORING Visualizes which pages are losing traffic over time with an intuitive heatmap. Spot declining content before it's too late. ◆ FORECASTING Predict future organic traffic based on historical GSC trends. Model scenarios for content investments, seasonal patterns, and growth targets. ◆ ANOMALY DETECTION Automatically flags unusual spikes or drops in clicks, impressions, CTR, and position. No more finding out a month later that something broke. ◆ MIGRATION DASHBOARDS Track performance before and after domain, folder or URL migrations across multiple GSC properties. Monitor traffic recovery, catch URL mapping gaps, and compare old vs. new property data side by side. The cross-property view is critical for enterprise migrations that nobody else handles properly. ◆ EXPERIMENT MONITORING Run A/B tests on title tags, meta descriptions, and content changes. Measure impact with statistical significance testing and group comparisons. Prove that your SEO changes actually worked. ◆ INTERNATIONAL ANALYSIS Analyze performance across countries and languages. Detect country-level cannibalization, and compare properties across markets. Cross-property analysis shows you which markets are underserved. ◆ INDEXING MONITOR Track which pages Google is picking up and which ones are quietly disappearing from the index. ◆ PAGE POACHING OPPORTUNITIES Find keywords ranking at positions 4-20 that are ripe for pushing into the top 3 with small optimizations. ◆ ON-PAGE CHECKS Check if top queries appear in titles, meta descriptions, and H1 headings. Simple but surprisingly powerful. ◆ KEYWORD CLUSTERING Group related keywords into clusters and track aggregate performance. See which topics drive the most traffic and where clusters are thin. Every report surfaces specific opportunities. Sign up for the waiting list now.

Jan-Willem Bobbink

24,221 次观看 • 6 个月前

elon musk started with 7 grok agents. by morning each had spawned somewhere between 80 and 900 more on its own, and no one had told them to multiply. openai and anthropic each sell you one agent that sits still for $400. this whole self-building swarm runs for $5 the swarm above is that overnight run, seven seeds that turned into thousands, every one of them working a slice of the same job with nobody at the keyboard here is the exact setup, and it costs nothing on top of a $5 key: -> spin up one grok agent and give it a standing order instead of a prompt: own a boring niche people search every day -> it reads x and reddit complaints in real time and picks the one nobody wants but everybody googles, because it is grok and it sees the whole app -> when the work outgrows it, it spawns its own helpers, 80 to 900 of them, and splits the site between them -> they build it on their own machines and ship 3 to 6 useful pages a night, on a routine you set once -> the swarm writes, negotiates and closes its own affiliate and referral deals by email, in your name, at 3am -> telegram sends you the money report and you never open the site -> month one is traffic, month three the first $237 lands, and it does not stop after that the whole time, opus 5 and gpt-5.6 are still sitting frozen, waiting for you to type the next message. one is a swarm that builds its own workforce and its own income while you sleep, the other is a $200 chat you have to drive by hand drop your $400/mo stack to $5, and bookmark this before someone's swarm spawns another 600 pages into the niche you would have owned. the full playbook is in the article below

starmex

97,805 次观看 • 11 天前

JustHireMe V0.1.31 is out. 🔗 Github: 📥 Download: The first post hit 390K impressions, 3.2K likes, 6K+ bookmarks, 1.2k+ GitHub stars and 400+ downloads . Genuinely didn't expect that. I've been shipping updates since and this release is a big one. Full video walkthrough attached but here's what's new: Command Center — proper dashboard now — active leads, scores, agent status, top roles — all in one screen — no more clicking around to figure out where things stand Customize One Job — paste any job URL — agent captures the JD, scores your fit, shows keyword gaps — generates a tailored resume + cover letter as PDFs — one page, one flow Outreach Generator — every lead now comes with ready-to-copy messages — 3-line founder DM — LinkedIn connection note — cold email — all written from your real profile, not templates Knowledge Graph (rebuilt from scratch) — Relation Atlas - weighted ribbons showing how projects prove skills — Gravity Graph - force-directed career layout — 3D Orbit - rotate through your profile in 3D — Curated mode - strongest evidence paths only — this is what the matching engine actually uses to rank you Job Pipeline — stages: Hot → New → Rated → Ready → Applied → Discarded — Fit score + Quality score on every lead — search, filter, re-eval, bulk clean, export — feels like a real job search CRM now Live Activity Stream — "what is the agent thinking?" — real-time logs of every query, eval, and decision — full transparency, nothing hidden Built-in AI Assistant — ask the app how to configure sources, understand a lead, generate packages — right inside the dashboard Modular Agent Config — Scout, Evaluator, Generator, Ingestor — each one independently configurable — pick your own models and thresholds Still local-first. Still privacy-first. Still open source. Still free. Your data never leaves your machine. If you starred the repo last time — pull the new release. If you bookmarked and forgot — now's a good time. Feedback, issues, PRs, or just a ⭐— all welcome. ⭐ 📥 #OpenSource #AgenticAI #AIAgents #GraphRAG #Python #FastAPI #ReactJS #TypeScript #Tauri #JobSearch #CareerTech #PrivacyFirst

Vasu-Devs

121,402 次观看 • 3 个月前

GeoLibre v2.1 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release adds a QGIS-style Browser panel for exploring data from one place, animated route playback with video export, Wikipedia knowledge cards, and Mapillary street-level images. What's new in v2.1.0 - Browser panel (Data Source Manager): explore and add data from one place. Browse map services, connect to PostGIS databases and drill into their schemas and tables, open local files, and save Favorites, all with full keyboard navigation. - Route animation: send a marker along any line layer, follow the track in 3D with camera controls, and export the whole animation as an MP4 video. - In-browser object detection: run ONNX/YOLO models directly in the webview, with no server or Python required. - Map recording: capture the map canvas, or a drawn bounding box, straight to a video file from the browser. - Native-resolution photo viewer: view geotagged photos at full detail right on the map. - Wikipedia knowledge cards: click any place to pull up its Wikipedia summary and info card. - More planetary basemaps: USGS imagery for nine more celestial bodies, plus a new OpenAerialMap imagery search plugin. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre

Qiusheng Wu

12,139 次观看 • 1 个月前

Anthropic's most viral feature is now open-source! Until now, Anthropic's Generative UI capabilities only existed inside its own products. CopilotKit🪁 just shipped Open Generative UI, an open-source implementation of Claude Artifacts that works in any app. The agent generates HTML/SVG at runtime, and CopilotKit streams it token-by-token into a sandboxed iframe inside the app's chat. So the user can watch the UI assemble itself in real time, not after the full response is ready. The sandbox is fully isolated with no access to the parent app, the DOM, or user data. So if the agent hallucinates broken markup or unexpected JavaScript, nothing leaks outside the iframe. Under the hood, the agent does not select from pre-built components. Instead, it generates arbitrary visuals from scratch every time. The output is unconstrained by default, but you can shape it by defining prompt-based skills that teach the agent specific visual formats or guidelines. For instance, a skill prompt can guide the agent toward producing a Chart.js dashboard with proper axis labels and responsive sizing, or an interactive 3D model with rotation controls. The video below shows this in action, and the output quality you see actually comes from the skills layer. Open Generative UI runs on AG-UI, so it works out of the box with LangGraph, CrewAI, Mastra, Google ADK, AWS Strands, and more. It also ships with a standalone MCP server that plugs into Claude Code, Cursor, or any MCP-compatible client. And the entire stack is built on top of CopilotKit, the open-source frontend framework for agents and generative UI. 30k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the GitHub repo and a live playground in the replies!

Akshay 🚀

87,048 次观看 • 4 个月前

GeoLibre v2.5.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release is about meeting you where your work already lives: open your QGIS and ArcGIS Pro projects directly, talk to your team on the map itself, explore hyperspectral imagery as a 3D cube, work in discrete global grids, and host sharing and live collaboration on your own server. It is also the most community-driven release so far: 121 pull requests and 52 issues closed in 8 days, from 14 contributors, 12 of whom sent their first contribution to GeoLibre in this cycle. Thank you all. What's new in v2.5.0 - Comments on the map: pin a comment to any location or feature, reply in a thread, resolve it when it is handled. - Live collaboration, on your own server: several people can open the same session and see each other's edits, cursors, and comments in real time. - QGIS and ArcGIS Pro project import: open a .qgs, .qgz, .aprx, or .mapx and get the layers. - Discrete global grids: three new DGGS plugins (A5, DGGRID, and DGGAL) render and identify cells over the current view, plus DGGS Generator, Binning, and Compact processing tools. - Hyperspectral data you can actually read: local NetCDF and HDF grids are colormapped in the browser, a cube gets an RGB band combination picked by wavelength. - Spectral profiles from a click: identify a pixel to chart its spectrum against wavelength. - Smart styling on add: every new layer arrives with its own color and geometry-appropriate sizing, and a Style suggestions strip offers one-click renderers. - Autosave, crash recovery, and project history, plus an Elements panel for managing every annotation from a list, a Layer Library for saving a fully configured layer and re-adding it to any later project, and project duplication and templates. - GeoLibre Desktop is on the Mac App Store, and Thai brings the shipped locales to 16 languages besides English, all at 100% coverage. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre

Qiusheng Wu

26,788 次观看 • 1 个月前

BlackRock runs on 20,000 people. Elon's Grok Bot runs the same shape for $300 a month, and it hires its own staff. You do not get an assistant. You get a company that hires. It does not throw ten agents at your problem and hand you the pile. It makes one agent that makes 10, and those ten make a 100. > LAYER ONE is one agent, the chief of staff, and it never touches the market > LAYER TWO is six desk heads, one job each, every one on its own computer with its own logins > LAYER THREE is whatever those six decide they need, spun up on the spot and shut down when the work is done Nobody writes a task list. You hand out job titles and the org fills itself in underneath. The swarm is never the same twice. Agents get spun up for one job, finish it, and are gone before I ever read their names. Not one of them sees the whole picture. The answer only exists after they hand off to each other. Wall Street cannot copy that. You cannot hire a hundred people for eleven minutes. BlackRock holds that shape together with a risk system called Aladdin. Mine holds it together with one agent that is only allowed to say no. I gave it $1,000 and told it to grow the money or get deleted. 15 hours later it was holding $3,900, on an address anyone can open and read. I was asleep for most of it, and I have still not written a line of code. The whole thing runs with my laptop shut, because none of it lives on my laptop. Setup is one evening. Create the chief, hand out the titles, run one trade on your screen while they watch, connect Telegram. Ten years ago a machine this shape had its name on a tower. Mine has a name I typed into a box. Save this while the whole thing still fits on one screen.

cvxv666

45,488 次观看 • 10 天前