Tencent’s latest solution simplifies cross-border payments for Weixin users and merchants.
Updated
January 8, 2026 6:33 PM
Tencent's large penguin statue in front of a building. PHOTO: UNSPLASH
In a world where digital borders are fading faster than ever, Tencent is betting on familiarity. With the launch of TenPay Global Checkout, the company wants to make paying across countries feel as seamless as paying at home.
The new service, unveiled today, allows Weixin Mini Program merchants outside mainland China to accept a variety of local payment methods. That includes digital wallets, real-time payment networks and credit and debit cards, all through a single integration. The launch starts in Singapore and Macao SAR, where merchants can now take payments via PayNow, BOCPAY(MO), and major cards. Japan, Australia and New Zealand are next, with more regions to follow soon.
This rollout builds on the growing reach of Weixin Mini Programs, known internationally through WeChat. These small apps are built right into the platform, letting users' shop, book services and make payments without downloading separate apps. Today, there are over one million monthly active users in key overseas markets, with Mini Programs available across 92 countries and regions.
Yet, for many users abroad, paying within Mini Programs hasn’t always been simple. Foreign card restrictions, currency conversions and limited local options often made checkout a frustrating step. TenPay Global Checkout aims to change that.
“TenPay Global Checkout marks an important step in enhancing the local consumer experience. By enabling overseas Weixin Mini Program merchants to accept trusted and diversified local payment methods through one unified solution, users benefit from a more convenient and efficient payment experience. This helps merchants improve payment conversion rates, expand their user base and scale their businesses to serve a broader range of customers”, said Wenhui Yang, CEO of TenPay Global (Singapore).
What makes this move interesting isn’t just its technical simplicity—it’s the cultural bridge it builds. For users in Singapore or Japan, paying with PayNow or a local card inside Weixin feels less like an international transaction and more like an everyday purchase.
For merchants, it’s an invitation into a market that values convenience and trust. Payment familiarity, after all, often decides whether a user completes a purchase or abandons it at checkout.
The company remains focused on creating secure, connected and user-friendly payment experiences that help merchants grow and allow consumers to pay with confidence, wherever they are.
If successful, TenPay Global Checkout could quietly redefine how cross-border commerce feels—not like a transaction across regions, but a familiar tap, scan or click. In an increasingly global marketplace, that kind of familiarity might just be the next frontier in digital trust.
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A look at how motivation, not metrics, is becoming the real frontier in fitness tech
Updated
February 7, 2026 2:18 PM
A group of people running together. PHOTO: FREEPIK
Most running apps focus on measurement. Distance, pace, heart rate, badges. They record activity well, but struggle to help users maintain consistency over time. As a result, many people track diligently at first, then gradually disengage.
That drop-off has pushed developers to rethink what fitness technology is actually for. Instead of just documenting activity, some platforms are now trying to influence behaviour itself. Paceful, an AI-powered running platform developed by SportsTech startup xCREW, is part of that shift — not by adding more metrics, but by focusing on how people stay consistent. The platform is built on a simple behavioural insight: most people don’t stop exercising because they don’t care about health. They stop because routines are fragile. Miss a few days and the habit collapses. Technology that focuses only on performance metrics doesn’t solve that. Systems that reinforce consistency, belonging and feedback loops might.
Instead of treating running as a solo, data-driven task, Paceful is built around two ideas: behavioural incentives and social alignment. The system turns real-world running activity into tangible rewards and it uses AI to connect runners to people, clubs and challenges that fit how and where they actually run.
At the technical level, Paceful connects with existing fitness ecosystems. Users can import workout data from platforms like Apple Health and Strava rather than starting from scratch. Once inside the system, AI models analyse pace, frequency, location and participation patterns. That data is used to recommend running partners, clubs and group challenges that match each runner’s habits and context.
What makes this approach different is not the tracking itself, but what the platform does with the data it collects. Running distance and consistency become inputs for a reward system that offers physical-world incentives, such as gear, race entries or gift cards. The idea is to link effort to something concrete, rather than abstract. The company also built the system around community logic rather than individual competition. Even solo runners are placed into challenge formats designed to simulate the motivation of a group. In practice, that means users feel part of a shared structure even when running alone.
During a six-month beta phase in the US, xCREW tested Paceful with more than 4,000 running clubs and around 50,000 runners. According to the company, users increased their running frequency significantly and weekly retention remained unusually high for a fitness platform. One beta tester summed it up this way: “Strava just logs records, but Paceful rewards you for every run, which is a completely different motivation”.
The company has raised seed funding and plans to expand the platform beyond running, walking, trekking, cycling and swimming. Instead of asking how accurately technology can measure the body, platforms like Paceful are asking a different question: how technology might influence everyday behaviour. Not by adding more data, but by shaping the conditions around effort, feedback and social connection.
As AI becomes more common in consumer products, its real impact may depend less on how advanced the models are and more on what they are applied to. In this case, the focus isn’t speed or performance — it’s consistency. And whether systems like this can meaningfully support it over time.