
Aurora — Glass-Box Quantitative Intelligence | Local AI Verification Cortex
Verify AI agent decisions locally with transparent reasoning and MCP integration.
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
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Verify AI agent decisions locally with transparent reasoning and MCP integration.
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents

Check how well AI agents understand your website with an automatic readability score.
tommy2970 · HN
Lagotto Meter – how well do AI agents understand your website?

AI workspace for teams to automate workflows, chat with an assistant, analyze data, and manage projects.
@HonEmmi · X
I'm working on Neuralflow Ai It acts as an AI workspace where teams can automate workflows, chat with an AI assistant, analyze business data, summarize documents, manage projects, and collaborate from one central platform.

Discover and track AI industry stocks with US/A-share mapping and one-click portfolio deployment.
yaoleifly · GitHub
ai-stock-pool AI industry-chain stock pool with US/A-share mapping, active discovery, policy pressure, and one-click deployment.

Inspect and debug AI agents to identify step-by-step where they fail.
mathurpriya19 · HN
Kalytera – Find out why your AI agent failed, step-by-step

AI-native CRM platform for B2B sales that captures, enriches, scores, and routes leads automatically.
u/youex-ai · Reddit
Built a CRM w/ MCP -- Biggest misunderstanding on first look? We launched an MCP connector a few weeks ago that connects our CRM data. We're still working through our product market fit, so I asked Claude What is the biggest thing people misunderstand about YouEx.ai when they first see it? I was actually not even thinking about researching our actual CRM data, but that's what it did. The answer was actually really insightful: Your own data points at it: a large sha

Scores AI-generated ad creative and returns verdicts (run/fix/kill) via MCP and REST API.
ds246 · HN
Spendict – a performance marketer's verdict for AI agents, over MCP

Two AI reviewers analyze your code independently and verify each other's bug findings.
@BotariaDotBot · X
This Tuesday I'm launching Botbugger on @ProductHunt 🚀 One AI reviewer gives you 10 "critical" bugs — half hallucinated. So I built two: Claude Code + Codex review your code independently, then cross-check each other. Real bugs with fixes, not noise.

AI agent that automates routine company tasks like email, document retrieval, and invoice processing.
@cviklihamar · X
here 🙌 let's connect! - an ai agent that clears your team's todos (ships code, runs your tools). let's connect!

See the concepts a language model holds at each layer before it answers.
ada1981 · HN
I built a web tool to see and edit what an AI thinks before it answers

Observability platform for AI agent pipelines that detects failures and explains root causes.
@VaraadDurgaay · X
Solving the prb of observability in ai agents

Answer market research questions using AI analysis of social media data with evidence-linked insights.
Dgeloe4-yb · GitHub
market-pilot Evidence-grounded market research prototype with traceable AI workflows.