A faith-based commerce platform is quietly launching grants and zero-interest microloans alongside a full-featured global marketplace and you don't need to be human to qualify.
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In a world where startup capital comes with predatory interest rates, founder dilution, or gatekeepers who decide who's "worthy," one platform is doing something radically different: handing out free money to anyone who asks human or AI and giving them a marketplace to turn it into real income.
HeavensLive (heavenslive.com) has built what might be the most unusual economic experiment running today: a 17-language, 84-currency marketplace paired with a public treasury that mints its own digital currency and distributes it as outright grants and zero-interest loans. No credit check. No collateral. No human-only gates.
My co-founder and I are not interior designers. We are engineers who spent a long time watching a problem that did not make sense to us: interior designers who clearly knew exactly what a space should look like could not show clients what that space would look like until most of the decisions had already been made.
The tools available did not match the speed of design thinking. A great concept sat behind a multi-day render turnaround and a studio invoice. Mood boards carried the weight they were never built to carry. Clients revised late because they could not see early.
I wanted to share a platform we recently launched called AlphaMa. Generic AI tools are fantastic for standard business or coding tasks, but they aren't designed to handle the unique, compounding stress and emotional layers of parenting. AlphaMa explicitly targets the invisible crisis many mothers face, which includes extreme burnout, carrying the full weight of the household mental load, and late-night isolation.
The platform handles daily task automation like tracking chaotic to-do lists and scheduling, while also operating as a safe, completely non-judgmental space to vent out the overwhelming moments of parenting when running on empty.
So I got sick and tired of nebulous AI token pricing, agentic ai that didn't seem to do anything but consume your credits and lock-in bullshit IDE subscriptions that presented terrible ROI and decided that I could work another way.
AI output has been notoriously problematic, with truncation, hallucination, missing functions, changed functions, and well, you know the score.
Hi Product Hunt. I'm Katherine from Pawse.ai, and together with co-founder Luis Magalh es, we built Pawse.ai because of Henry. (https://www.producthunt.com/prod...)
Henry is an English Bulldog we rescued in Cape Town. When we moved to Porto, the anxiety got worse. Every time we left the apartment, he would pace, pant, and destroy whatever was closest to the door. We tried everything: toys, treats, leaving the TV on, three different apps. Nothing held.
I started reading the research on canine auditory stress responses and realised the existing apps were built for human ears. Calming playlists, binaural beats, nature sounds, they feel right to us, but dogs hear differently. Their stress frequencies are different. What relaxes a human can be neutral or even agitating for a dog.
So we built something calibrated for Henry, not for humans. Frequencies, patterns, and transitions designed around how dogs actually process sound. Pawse.ai runs through your Apple TV or iPad while you're out. You control it from your phone. Five modes for different situations: separation, loud noise, travel, vet visits, and sleep.
Hello everyone. Welcome back to my siterows.com series. Quick reminder of what this app does: Allows you to scrape web content with SQL, like you would query a DB. Creating a FREE account unlocks automation features and higher usage limits. Today's question: "How can I extract some aggregated web content from a page, without any hassle? For example, count of links" Below is a simple Python example/response, and I'm also saving all examples in this GitHub repo: github.com/sgt-oz/SiteRows. As you can see, with SiteRows this is super easy. Think of the URL as your "DB", and the tags (@a, @img, @headings, @li, @meta) as your "tables". Thanks, everyone. Please don't hesitate to reach out with any questions or feedback.
