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Tadka
Your AI assistant books restaurant tables. Now.
Tadka connects ChatGPT, Claude, Gemini & Siri directly to live restaurant seating. Diners book in 5 seconds. Restaurants list free in 4 taps. No apps. No phone calls. Just say it — your AI books it.
Hey Product Hunt 👋
I built Tadka because I got tired of watching the reservation wars play out like it's 2012.
Every AI lab is racing to make their assistant the interface to the world. Restaurant booking is one of the highest-intent actions people take every week. But when you ask ChatGPT to "book a table tonight," nothing actually happens — because there's no layer connecting the assistant to live restaurant seating.
So I built it.
Tadka is the MCP-native reservation layer. ChatGPT, Claude, Gemini, Siri, and any autonomous agent can:
Discover tables in real time
Verify open slots
Confirm bookings in under 5 seconds
Restaurants list free in 4 taps. Diners don't download anything. No apps. No commissions. No phone calls.
What's live today:
MCP server: tadka.xyz/mcp
REST API + llms.txt
Web reservations across NYC, SF, London, India
WhatsApp share for confirmed bookings
Admin analytics (AI vs web channel split)
What's coming:
Instant manager alerts (DNS verification nearly done)
Voice booking
Multi-language menu parsing
I'd love feedback from:
Restaurant owners — what would make you list today?
AI builders — what's missing from the MCP surface?
Diners — would you actually book through your assistant?
AMA about MCP, agent-native infra, or why reservation tech is finally interesting again. 🙏
About Tadka on Product Hunt
“Your AI assistant books restaurant tables. Now.”
Tadka was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #157 on the daily leaderboard. Tadka connects ChatGPT, Claude, Gemini & Siri directly to live restaurant seating. Diners book in 5 seconds. Restaurants list free in 4 taps. No apps. No phone calls. Just say it — your AI books it.
On the analytics side, Tadka competes within Marketing, Artificial Intelligence and Tech — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how Tadka performed against the three products that launched closest to it on the same day.
Who hunted Tadka?
Tadka was hunted by Aman Nanda. 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 Tadka including community comment highlights and product details, visit the product overview.
Aman Nanda