Here's what Luxenger does in plain terms:

It brings your client and lead communications into one AI-powered inbox so you never miss a message, always know who needs a reply, and can respond faster without dropping other things.

A lot of people I come across who are considering agents worry about the stochastic nature of LLMs. They don't want to trust them with complex tasks that require several steps because they might miss one or get it wrong. They worry that the agent will go off topic, access apps or generally do things they shouldn't. Even worse for regulated industries, you need to produce evidence of how you comply with different laws. Humans leave a natural audit trail of SOPs they follow, tasks they complete etc. so you can easily work with an auditor but what do you do when it's AI doing the work?

At Portia AI, we built an open source SDK from the ground up to address this challenge and we'd love to know if you think it meets the need and if there's something we can learn from others in this space. Agents built with Portia plan transparently, execute statefully, can be interrupted for human input and auth deterministically.

Let me know what you think if you have a moment? Your feedback would be super helpful

GhostlyX now includes a built-in Model Context Protocol (MCP) server, letting AI assistants query your analytics data in real-time.

The MCP server exposes 10 tools covering everything from site stats and top pages to traffic sources, live visitors, uptime monitoring, funnels, and conversions. You can even create annotations or support tickets directly through AI.

Everything is secured with API tokens and respects your existing permissions. And like everything in GhostlyX, it s privacy-first by design, no cookies, no personal data, just clean analytics.

Hi Product Hunt community,

I m Kean, a solo developer. I ll be completely honest: I love writing code, but I absolutely hate marketing and sales. It drains my energy.

Over the past few months, I ve built and launched two fully-functioning products:

1. Workfern Subscriptions Recovery: A WooCommerce plugin (live on the official WP repo) designed to rescue failed recurring payments.

2. Local-First Web Highlighter: A Chrome extension that syncs web highlights directly into Obsidian with zero intermediate servers (privacy-first).

Hey Product Hunt community,

We are soon launching Filleo an AI-powered Shopify tool that helps merchants create 'complete' product listings in seconds, built especially for dropshippers, resellers, and fast-moving stores.

A few things we focused on that most product listing creation tools skip:

• Creating not only titles, descriptions, SEO fields, and variants but also smartly determining other key fields like Product Weight, HS Code, Country Of Origin, Tags, Product Category, SKU and much more!

• Allow pasting messy and unstructured Product data from suppliers that is often not properly formatted.

• Provide consistency across product listings by giving an option to personalize Agent's Generation to match your needs

• Generate a 'Complete' Online Product Draft within seconds for you to verify and immediately publish

• Flexible and affordable pricing plans starting with just 0.99$!

I built this to run OpenClaw safely.

The problem: every sandbox I tried still handed the real API token to the agent as an env var.

Nilbox uses Zero Token Architecture. Instead of securing the token after handing it over, we never give the real one in the first place. Agents get a fake token. When theymake an API call, Nilbox silently swaps in the real credential. If a hacker extracts your env vars, all they get is a meaningless string.

Trying to find and curate a leads list is tough. With so many tools out there, the noise is loud.

Instead of running through Clay or Apollo, I decide to build a Google Maps Scraper with their API and python.

This is the moment where the Product starts to look like a real thing.
Seeing the block editor and version diff screenshots side by side makes it feel like we actually built something worth launching.

One thing I did not expect: how much the screenshot order matters. The first image has to stop the scroll. The second has to answer the question the first one raises. It is basically visual storytelling
.

We go live Wednesday April 15.

Makers - when you reviewed your PH page for the first time with fresh eyes, what was the first thing you wanted to change?
Any feedback is much apprecitated!

Most teams we have talked to treat prompts like environment variables - static strings tucked away in config files.
It works until it doesn't.
The problem is there is no version history, no way to evaluate a change before shipping, and no way for non-technical teammates to contribute.
Your legal reviewer knows exactly what the guardrails should say but cannot touch the prompt because it lives in the repo.
We built PromptOT to fix this. Launching April 15. Would love some support from the PH community.
What layer of your AI stack do you feel is still held together with duct tape?