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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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Enterprise-grade open-source AI inference at unlimited scale.Open
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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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Trust scores, cryptographic proof, and risk assessment for AI agents.Open
We built Mnemom because we were shipping AI agents into production and couldn't answer a basic question: how do you prove this thing is doing what you told it to? Not monitor. Prove. So we built the proof layer. Cryptographic attestations, trust scores, risk assessment, containment — everything you need to deploy agents you can actually stand behind. It's free to start and open source. We'd love to hear what you think - new features shipping daily.
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I have seen it on Reddit, surprisingly, it did help me to save 30% in input/output agent tokens, not 60% unfortunately, but for sure better than not using it. Saved way more than I spent on subscription, shame didnt know of 50% discount :)
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So many SaaS offerings need rethought to be AI/agent first. And the new thinking really start with the simplicity and appropriate costs needed for the "user" being an agent. tny.dev is really a master class in this new thought process. If you need link shortening, it's completely solved here. I've been using it with Claude Desktop, and Claude just "gets" this MCP server, and its free at the relatively infrequent rate I use it. The analytics are awesome and simple to understand. They are the key feature for me.
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I love that Shakespeare is totally open source and fully focused on allowing users to build with freedom, rather than just another AI SaaS trying to lock users into a subscription tier. You can use it with any other AI provider, or pay as you go for credits with Shakespeare's default AI. It's really easy to talk to the app, build a first draft, and deploy. I also like how you can edit other open source projects and improve them. Really cool tool for people who want to build with AI but care about open source and freedom.
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AI-powered analytics that unlock smarter business insights.OpenI used Analytify and found it incredibly easy to set up and integrate with Google Analytics, giving me real-time stats and page-level insights without needing any coding knowledge. -
Brilliant system and feels fairly easy to use, one issue with sign in took me 5 mins, but i think its fixed now? Not perfect, but a step in the correct direction!
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Finally, a tool that gets my brand visual, logo and written aesthetic I can generate images with my logo without having to add context each time like i used to with ChatGPT or Gemini.
