Can your organization currently produce a complete, audit-ready record showing every AI system in use is mapped against EU AI Act requirements? In my research, most cannot and under NIS2 and the AI Act, that gap now carries personal liability implications for named executives, not just the organization.

I'm developing Compliant to address this: a structured inventory of AI systems and vendors, a clear view of what documentation is missing, and an audit trail to support compliance efforts.

Most productivity apps focus on adding features, reminders, and to-do lists. I built one that focuses on removing distractions instead. Do you think eliminating distractions is more effective than adding more productivity tools?

try it out here - https://lockindotcom.vercel.app/

Hi everyone,

I'm pretty new here and don't naturally post often, so sorry if my tone/clarity is not on point lol or if this is not the right thread for this.

AI incident investigation just got smarter.

PulseBoard now integrates with:
Vercel
Render
Railway
through webhooks and apis'

Instead of only detecting downtime, PulseBoard can now use deployment context during investigations.

Imagine opening an incident and immediately seeing:

Here is what a week of AI traffic looks like on our site, measured rather than guessed.

In 24 hours, AI crawlers requested our pages 479 times. Applebot 179, meta-externalagent 180, ChatGPT-User 74, ClaudeBot 26, GPTBot 20.

Over seven days, assistants sent us real people: three visits from chatgpt.com , one from perplexity.ai

, two from Bing, arriving from Turkey, Greece, Hong Kong, Korea, the US and China. Small numbers. Real ones, from a browser beacon where bots cannot appear.

Hey everyone

We re launching SearchSpot on Product Hunt tomorrow.

SearchSpot is an AI travel concierge that helps turn messy travel research into ranked, explainable, bookable plans.

The reason we built it is simple: planning a trip is rarely just about finding places. It is about making the right calls across hotels, routes, budgets, food preferences, reviews, safety, weather, live events, group constraints, and everything that can quietly make or break the trip.

For the past few months we've been building the XWiki MCP Server, an extension that integrates the Model Context Protocol (MCP) in XWiki. This allows AI agents, chatbots, and other apps to interact with your XWiki knowledge base.

This extension addresses an issue I've seen requested a loooot recently -- making the knowledge you store in XWiki accessible to AI, without having to do manual exports or hacky API work. If you've ever wanted to search through, edit, or create XWiki pages directly from an AI agent (such as MS Copilot, ChatGPT, Claude, or any other AI tool that speaks MCP), this is for you!!

Core functionality available soon - the XWiki MCP server exposes content through MCP. You can query, read and write wiki pages with your AI agent of choice.

Hey Product Hunt community,

I ve been working on ProofWrite.ai, a writing tool that helps users revise AI-assisted drafts so they read more naturally, then verify the revised version within the same workflow.

I built it because the usual process feels fragmented: rewrite the text in one tool, check it in another, make more changes, and repeat.

The current workflow is simple:

Hi Product Hunt!

I wanted to share LexiSummarize, an AI-powered legal document intelligence platform I've been building.

Most legal documents are difficult to understand, whether it's contracts, agreements, policies, or terms and conditions. LexiSummarize helps users:

Summarize lengthy legal documents in seconds
Detect risky or unusual clauses
Explain legal language in plain English
Compare multiple legal documents
Ask questions about uploaded documents using AI

We're building this to make legal information more accessible for students, founders, freelancers, and businesses.

I'd genuinely appreciate your feedback:

• What feature would you find most useful?

• What's missing from existing AI legal tools?

• Would this solve a problem for you?

You can try it here: https://lexisummarize.in

Every piece of feedback helps us improve. Thanks for checking it out!

Hi everyone
I m the founder and developer of DMT.

This project was built around one simple idea: people should decide who can contact them before communication begins.

DMT is currently in early Android testing, so I m especially interested in honest feedback about onboarding, invitations, trusted contacts and everyday usability.

If you test it, please tell me what feels clear, confusing or unnecessary. Every real-world observation helps.