Alternatives
Products that do what SensorCore does
LLM-native product analytics via MCP. Directly in your IDE.
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Build the semantic layer that makes AI analytics trustworthy
Mar 2026 · metabase.com
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I've been deeply involved in working with AI agents and large language models (LLMs) for a while now. During a recent job search, I found myself repeatedly explaining my skills and experiences to various assistants. Around the same time, I was creating content for my website to help hiring teams understand my capabilities better and make informed decisions. MCP had started to gain momentum and I saw a way to reduce my toil. So I built an MCP server that can effectively communicate my qualifications as a job candidate. This server acts as an AI-powered resume, providing an understanding of my…
2025 · ai.jakegaylor.com
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Analytical skills for data agents running on Supabase
Apr 2026 · dreambase.com
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Hi HN! We’re Theodore and Louis, founders of Armature (YC P26). We reconstruct the entire session behind the MCP tool calls you receive, including what the user asked their agent to do and what the agent thought. You wrap your MCP in 3 lines of code (our SDK is available in Typescript, Python and Go) and start seeing in your dashboard: - All sessions reconstructed: it’s like reading the real conversation the user had inside Claude or ChatGPT! - A ranking of your MCP most popular use cases, built from sessions clustering - The most frequent issues your users’ agents encounter so you can fix…
Aug 2026 · armature.tech
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Give your agent tools to create beautiful, codebase-aware UI
Apr 2026 · aidesigner.ai
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Optimize Agent Actions with User Behavior.
26d ago · kubit.ai
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Hey HN! We built a browser-based agent that runs inside an authenticated web app, watches how the app calls its own APIs, and automatically turns those into agent tools. You can think of it as an auto-generated MCP server that self-updates as the host app changes. The result is a skilled AI assistant that actually integrates deeply with any product (not just chat and RAG) with minimal effort. Check out these short demos below that show the agent in software you're probably familiar with: - Jira: https://demo.frigade.com/hn?skill=jira - Spotify:…
Jul 2026
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Hi HN, I’m building Waycore, an open-source project exploring what a flexible, offline-first field computer should look like for outdoor, survival, and off-grid scenarios. The core goals are adaptability and resilience: modular hardware (external sensor/tool modules) extensible OS with support for external apps (guidelines in progress) no required internet connection — maps, models, and knowledge work offline optional LTE/Wi-Fi when available and explicitly enabled A major focus is on-device agentic AI, not just chat or image recognition. The AI is intended to: read live sensor…
Dec 2025
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Hi HN friends, we're Nima (nimabanai) and Craig (cbschind) from Assemble Labs (https://assemblelabs.co) building the hardware context layer for AI to help you write better firmware faster. We’ve built an MCP server that plugs into any AI tool you’re using (Cursor, Claude Code, Gemini, etc.) and brings complete hardware context (schematics, datasheets, etc.) to your existing environment (new app fatigue is real...) with accuracy and in real time. Our goal is to make writing and debugging firmware on custom hardware faster and easier. Try out the free beta release:…
Oct 2025
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