Tingz.me

Predictive and Personalized App Discovery Platform

Media & Entertainment Technologies
Non Active, May 2017
Mature Tel Aviv-Yafo, Israel Founded 2013
LinkedIn
Last updated 2026-06-18
Total raised
Last: 2015-03
Stage
Mature
Founded
2013
Headcount
4
HQ
Tel Aviv-Yafo, Israel
Sector
Media & Entertainment Technologies

About

Tingz.me is a predictive discovery platform that recommends relevant new apps for its users at just the right times. The suggestions are based on both the users preferences and context, and are delivered at times when users are most likely to engage. By familiarizing itself with the user, Tingz.me is able to constantly scout the app store for useful new apps tailored to each users specific needs and preferences. Users simply install Tingz.me and wait for great new app recommendations to be delivered directly to their devices at exactly the right times.

Funding history · 1 round · — total

2015-03
Undisclosed

Q&A

What is Tingz.me's primary business?
Tingz.me operates as a predictive discovery platform that recommends relevant new applications to users based on their preferences and context, delivering suggestions when users are most likely to engage.
When was Tingz.me founded?
Tingz.me was founded in September 2013.
What is the current status of Tingz.me?
Tingz.me is currently inactive, as of May 2017.
Which sector does Tingz.me primarily operate in?
Tingz.me's primary sector is Media & Entertainment Technologies.
What technologies does Tingz.me utilize?
Tingz.me utilizes Artificial Intelligence, Machine Learning, Platforms & Interfaces, and Mobile technologies.
Who are the founders of Tingz.me?
The co-founders of Tingz.me are Ran Melamed and Noam Dayan.
Where is Tingz.me's headquarters located?
Tingz.me's headquarters is located in Tel Aviv-Yafo, Israel.
Has Tingz.me received any funding?
Yes, Tingz.me received funding in March 2015 from thetime.

Team · 2

Founder · Co-Founder
LinkedIn ↗
Founder · Co-founder
LinkedIn ↗

Sectors & technology

Primary sector
Media & Entertainment Technologies
Sub-sectors
Media & Entertainment TechnologiesDigital Content Distribution
Technologies
Artificial IntelligenceMachine LearningPlatforms & InterfacesMobile
Target customers
Enterprise & Professional ServicesSoftware DevelopmentMobile Software DevelopmentConsumers
Business model
B2B2C

Highlights

Verified

Tags

mobile-applicationsrecommendationspersonalizationvalue-added-servicesmobile-carriersbig-datasdkmachine-learningartificial-intelligence
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