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Shabda

One lead memory across ads, calls and WhatsApp for brokers

Shabda is an AI sales platform we're building for UAE real estate brokers. Meta ads, Google ads, calls and WhatsApp share one context per lead, so ads optimise toward buyers who book viewings. Read-only first, you approve every change. Feedback welcome.

Top comment

Hi Product Hunt, I'm Subhash, the founder of Shabda.

To be upfront: this is an early look at what we're building, not a finished product. I'm posting now so the people it's for can help shape it.

Brokers in the UAE tell us the same things again and again. Meta leads are often junk. Cost per lead keeps going up. Follow-up is slow. And each channel only knows its own part of the story. Meta optimises for form fills because nobody tells it which leads actually booked a viewing.

Here's our thinking:

- One shared context per lead across Meta ads, Google ads, calls and WhatsApp

- Real outcomes (viewing booked) sent back to the ad platforms, so you track cost per viewing booked instead of cost per lead

- An instant AI callback on every enquiry

- Control first: read-only to start, approval for every change, spend caps, one-click undo

- A target price under 8 US cents (about AED 0.29) per call minute

What I'd most like to hear: how do you share lead context between Meta and Google today? And what would stop you from letting a tool touch your ad spend?

About Shabda on Product Hunt

“One lead memory across ads, calls and WhatsApp for brokers”

Shabda was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #128 on the daily leaderboard. Shabda is an AI sales platform we're building for UAE real estate brokers. Meta ads, Google ads, calls and WhatsApp share one context per lead, so ads optimise toward buyers who book viewings. Read-only first, you approve every change. Feedback welcome.

On the analytics side, Shabda competes within Marketing, Tech and Business — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Shabda performed against the three products that launched closest to it on the same day.

Who hunted Shabda?

Shabda was hunted by Subhash Belli. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Shabda including community comment highlights and product details, visit the product overview.