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- Dating apps try AI to revive growth
Dating apps try AI to revive growth
Plus: Google Maps adds an AI guide
Rimsha Bhardwaj, Hasan Toor & Ihtesham Haider
March 13, 2026
In partnership with
Today, we will talk about these stories:
Bumble is adding an AI matchmaker
Google turns Maps into a chatbot
Coding is turning into conversation
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Bumble wants an AI to choose your matches
Image Credits: Bumble
Bumble is building an AI assistant that talks with you before it introduces you to someone.
The company unveiled “Bee,” a chatbot designed to learn a user’s values, communication style, lifestyle, and dating goals through private conversations inside the app.
The system will recommend matches and explain why two people fit, starting in a new feature called “Dates,” which Bumble plans to launch in beta soon.
Bumble is reacting to a clear problem. Swipe-based dating has stalled with younger users who say the apps feel repetitive and rarely lead to real meetings.
Handing the matching process to an AI also lets Bumble collect far more personal data than a typical profile ever could.
The company is even testing removing the swipe in some markets, replacing it with “chapter-based” profiles that reveal parts of a person’s life story. The goal is to push people out of endless chats and into actual dates.
Revenue reached $224.2 million last quarter, and the stock jumped 40 percent after the update.
If an AI learns your dating habits well enough to choose matches, it may start shaping who you meet in ways users never really see.
Headline of the story (font )
Image Credits: Google Blog
Google Maps is starting to answer real questions
Google Maps now lets you ask things like where to charge your phone without waiting in a coffee shop line.
Google is rolling out a Gemini-powered feature called “Ask Maps” that responds to conversational questions about places, routes, and trips.
It pulls from search history, saved locations, and user preferences to suggest places, then explains the reasoning behind the recommendation.
The update arrives alongside a redesigned “Immersive Navigation” mode that adds 3D buildings, lane guidance, and more natural voice directions.
Maps is shifting from a tool that gives directions to a system that helps you think through a plan. The AI becomes the layer between the user and the map itself.
That changes the role of the app. Instead of scanning a screen full of pins, you describe the situation and wait for the answer.
Google is also folding in data from both Maps and Waze so the assistant can explain trade-offs like tolls, traffic, or construction on alternate routes.
The feature is rolling out now in the U.S. and India across Android and iOS devices. Once navigation becomes a conversation, the map quietly turns into another AI interface people talk to throughout the day.
Programmers are starting to supervise instead of code
A startup engineer let AI write a feature in 30 minutes that once took him a full day.
Across Silicon Valley, developers are letting tools like Anthropic’s Claude Code write large portions of their software while they describe what they want in plain language and review the results.
Some startup teams now let AI produce nearly 100 percent of their code, while Google says about 50 percent of new code is AI-generated and overall engineering speed has risen roughly 10 percent.
This changes the job more than the industry expected. Many programmers now spend their time explaining systems, reviewing outputs, and correcting mistakes instead of typing lines of code.
It still takes experienced engineers to guide the process, because AI loses track easily and large codebases can break if changes are careless.
Small teams are getting smaller. One Google group that once needed around 30 specialists now runs with three to six people using AI assistance.
The pressure may land hardest on junior developers, whose jobs historically involved the basic coding work AI now handles.
If new engineers learn the craft mainly by supervising machines, how do they build the judgment needed to know when the machines are wrong?
Prohuman team
Covers emerging technology, AI models, and the people building the next layer of the internet. |  Founder |
Writes about how new interfaces, reasoning models, and automation are reshaping human work. |  Founder |
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