22 linking domains
Emerging
- Price
- Price not read
- Activity
- Activity not read yet
- Company
- Domain since 2026domain registered
- Runs as
- API
- book restaurant tables through AI assistants
- manage restaurant reservations and availability in real time
- list restaurant on open platform for AI discovery
- Domain since2026domain registered
- Raised$9.2M · seedper the press · 2024-09 ↗
- OpenAPI spec2 pathsthe spec ↗
- API docstadka.xyz/api/public/v1/restaurantsthe vendor's page ↗
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
Figure and bar: visits/mo, estimate · year: online since
- #1
TIDY
Coordinates property cleaning and maintenance tasks for rental properties and Airbnbs.
195kActiveFrom $19/user/mo2013 - #2
Dim HourMCP · open
Maps curated restaurants and bars across 26 cities, filtered by mood, neighborhood and opening hours, with table-release alerts and trip planning.
127kActive— - #3
ShopSavvy
Compares prices across retailers and alerts users when prices drop or items return to stock.
74.1kActiveFrom $99.99/mo2008 - #4
OttoMCP · sign-in
Plans, books and adjusts business flights and hotels through a conversational interface that reads your calendar and travel preferences.
27.7kActive— - #5
CielStayMCP · open
Searches short and long-term home rentals across listings and channels, including direct host booking and AI agent queries.
5.3kActive— - #6
TeroTAM
Computerized maintenance management system that tracks assets, automates work orders, and predicts equipment failures using IoT data.
1.1kActiveContact sales
What is Tadka?
Connects AI assistants to restaurant booking systems for real-time reservations across partner restaurants. It is listed in the Atlas under Commerce.
Do people use Tadka?
Emerging.
What are alternatives to Tadka?
In Commerce, by use: TIDY, Dim Hour, ShopSavvy, Otto, CielStay, TeroTAM.
Not quite it? Describe the job
betaFive tools from the Atlas that fit it, each judged against what you wrote.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.