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Jash🛠️ 1 tool 🙏 3 karmaMay 18, 2026@TryApplyNowHey everyone, I’m the founder of TryApplyNow. It helps job seekers apply faster with AI resume matching, ATS scoring, resume tailoring, recruiter contact discovery, application tracking, and a Chrome extension for faster job applications. We’re improving the product every day and would love feedback from real users. If you’re job hunting, try it out and leave a genuine review. Tell us what helped, what felt confusing, and what you’d like us to improve. Every review helps us build a better product for job seekers 🙏 -
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1. Meev is now agent-native The whole product now leads with an AI SEO agent that runs the full loop for you. - The agent tracks your AI visibility, finds the gaps, and publishes the fix, and acts only after your approval. - New Approval Ledger so you see exactly what the agent proposes, with the evidence, before anything ships. - In-product agent demo video, a cleaner agent chat, and a dedicated dashboard tour. - New AI content marketing agent landing page and a repositioned growth-agent page. - The agent now explains why a draft is held for your approval instead of auto-publishing, and is always date-aware. 2. Connect Meev to your own stack (new) Your AI visibility data now goes wherever you work. - MCP server (live): connect Meev to Claude, ChatGPT, and any MCP-compatible assistant and read your visibility, rankings, and content data right inside it. Read-only and secured, with a one-line @meev/mcp connector. - Public REST API (live): pull every metric programmatically, full OpenAPI spec, a /developers docs page, and API-key management in settings. - New /connect hub: one place to set up MCP, terminal installs, and the meev-data skill. - Per-plan connection quotas, with unlimited concurrent connections. 3. Onboarding rebuilt around your GEO Score - Visibility-first setup: get your GEO Score and a real, prioritized action plan before you reach billing. - Redesigned GEO Score reveal with an honest report (real competitors, sample-aware plan) and a smoother reveal animation. - Simpler trial start: no-card trials, in-wizard Google connection, and a finish-setup guide. 4. A fresh look - New Gilded Editorial design across the home page, blog, and marketing site. - Navigation reorganized into Platform / Solutions / Resources menus. - Agent demo video in the hero; blog reading rails that follow you as you scroll. 5. Under the hood - Higher content quality from an upgraded writing and scoring engine. - Faster site audits. - New Google Search Console index-coverage and URL-inspection tools for the agent. - First-party analytics and ad conversion tracking wired up behind the scenes. -
Spent some time analyzing Intedat. Interesting product, but it reads like another prospecting tool while the real value is automating B2B pipeline generation. That difference could dramatically change perceived value. Happy to share the breakdown if useful. -
Canopy API v2: Faster Amazon data, lower high-volume pricing, and MCP support Canopy API v2 is live. This release is focused on three things: speed, reliability, and making Amazon product data dead simple to plug into AI agents. - MCP server for AI agents. Canopy now ships a native MCP integration alongside our GraphQL and REST APIs. Connect Claude, Cursor, or any MCP-compatible agent to live Amazon product data, search results, pricing, and seller information with a single config entry. No wrapper code, no glue scripts. - Three ways to query, one data layer. GraphQL when you want precise, nested queries in a single request. REST with a full OpenAPI 3.1 spec when you want simple, predictable endpoints. MCP when the consumer is an agent instead of an app. All three run on the same infrastructure and return the same normalized product data. - Performance improvements. We rearchitected request batching and caching across our edge network. Typical product lookups now return in 200ms at p95, and multi-product queries are dramatically faster thanks to smarter request handling. - Data reliability improvements. New retry and validation layers mean fewer empty fields, fewer stale prices, and consistent product schemas across marketplaces. If we return a field, you can trust it. - Lower prices at volume. High-volume tiers got a real price cut. Requests beyond 20K per month now cost up to 50% less, and usage-based billing means you only pay for what you actually pull. Whether you're building price trackers, market research tools, or AI shopping agents, v2 is the fastest way to get structured Amazon data into your product. Start at canopyapi.co. -
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I found out this girl i was talking to was catfish, and just promoting her OF account -
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We use GenRank every day at our company, and it’s been incredibly helpful. It shows exactly how our brand and competitors appear in AI responses and makes tracking everything super easy. Really great tool if you care about visibility in AI.
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AI visibility, site audits, Local GEO, and site migration for small businessOpen -
This tool is a lifesaver. It helped me to scale my content, I went from posting blogs sometimes once a month to consistently producing 8 posts a month 🔥
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Hey everyone, I'm Florent, maker of Facet! Please feel free to give me any feedback good or bad you have, it will help me make great improvements! We already have dozens of users and try to use all feedback to enhance the application!
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🚀 Supercharge Your AI Workflow with Keymate! AI enthusiasts, researchers, and productivity power-users — meet Keymate, your new favorite AI-powered assistant to collect, manage, search, and chat with your digital knowledge. ✨ Why Keymate? 🔹 Collect any source – PDFs, Google Docs, YouTube videos, emails, web links — all in one private memory space. 🔹 Chat with your content – Ask complex questions and get grounded answers directly from your own documents. 🔹 Add notes and organize collections – Structure your memory the way you think. 🔹 Boost with AI context – Keymate uses a 128K context window and multi-LLM setup to deliver better, focused results. 🔹 Secure
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Great experience with Glean providing impressive support while onboarding and building out custom data sources.
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We have conducted a practical test on this software, and its comprehensive operational performance is excellent. Despite being a newly launched product, it boasts outstanding operational stability; crucially, it adopts a budget-friendly pricing model with prominent cost performance, which makes it highly adaptable and user-friendly for startups and independent AI developers.
