While building Astittva, one thing kept standing out to us:

A lot of astrology experiences still feel transactional, static, or built around mass generated predictions rather than something genuinely personal.

At the same time, astrology itself has always been deeply personal for people.

It made us curious about how AI could change this space.

I ve been building MapleBridge, a sourcing workflow for North American buyers looking for better-fit Chinese manufacturers.

One thing I kept running into: supplier search is not only a search problem. A buyer can have a very specific brief product, MOQ, target market, packaging, certification path, timeline but most supplier directories still reduce that into keywords and listings.

So I separated part of the work into an open layer.

MapleBridge Open documents how I think about:

Now the dashboard connects real GSC data with AI visibility insights:

Clicks, impressions, CTR, and average position

Trends over time with clean charts

Top queries and pages

Most SaaS founders don t need to replace Stripe on day one.

But having only one payment rail creates risk:

• card declines become involuntary churn

• some countries are harder to serve

• processors can freeze or delay funds

• chargebacks create uncertainty

• international payments add friction

RecurCrypto is built as a second payment rail for subscriptions.

Search is changing. People are asking ChatGPT, Perplexity, and Gemini for recommendations instead of Googling. And most brands have no idea if they're showing up there or not.

So we built Aeoix - track your brand's visibility across AI engines, see where competitors are winning, and act on it directly. You can reach out to publishers, close content gaps, and manage everything from one place.

Hey Product Hunters
We re building initdesk an email-first AI help desk for SaaS and lean teams. The idea is simple: support agents should not need to jump between browser tabs, admin panels, CRM, and internal dashboards just to answer a customer.

initdesk brings customer context into the ticket itself, then uses that context to help draft replies, summarize conversations, tag tickets, detect sentiment, and power a help center with AI chat. We also don t charge per seat. You can invite the whole team, and pricing is based on ticket volume instead.

Would love honest feedback on:

1. What customer context would be most useful inside a ticket?

Hey PH community

Today s the day! PetWise is live on Product Hunt and I wanted to share the story here too.

"Hi everyone,

I ve spent years in the broadcasting world and noticed something depressing: while the whole world moved to the Cloud, AI, and sleek interfaces, radio automation software stayed stuck.

Most professional suites today:
Look like they were designed for Windows XP.
Crash if your local hardware has a hiccup.
Make remote broadcasting a nightmare of VPNs and lag.

When I started building DockFM, people told me: 'Don't bother with Mac, radio is for Windows PCs.'
I ignored them. I wanted to build something that leverages Apple Silicon power, for 99.9% cloud uptime, and integrates AI Voice Cloning so a DJ can broadcast from a beach without sounding like a robot.

Hey PH community

I've been coaching service business owners for years and kept seeing the same problem.

Hey PH!

Let s be honest: Building an app is the easy part now. But 35% of startups still fail because they build something the market doesn't actually need. Most AI "research" tools just give you plausible-sounding lies.

We built an agentic workflow that doesn't just "chat" it executes the boring, painful parts of market validation.