super app
3 stories filed under super app on Beyond Market Intelligence. The newest of them: “How TikTok is quietly building an all-in-one app”, “Learning from AI's missteps: Projects that stalled or fell short”, and “Learning from AI's missteps to build more resilient data tools”. A hardcoded credential in Applebee's app exposed customer data to anyone who knew where to look. Apple's Siri has been delayed so many times it's become a running joke, and OpenAI's messy "super app" launch showed that even the biggest names in AI can stumble. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every super app story on Beyond Market Intelligence, newest first.
How TikTok is quietly building an all-in-one app
A hardcoded credential in Applebee's app exposed customer data to anyone who knew where to look. A security researcher found the static password embedded in the restaurant chain's software, granting unrestricted access to what should have been private information. It's the kind of oversight that feels both shocking and entirely predictable, a reminder that convenience often comes at the cost of security. For businesses relying on quick integrations, the lesson is clear: hidden shortcuts rarely stay hidden for long.
Learning from AI's missteps: Projects that stalled or fell short
Apple's Siri has been delayed so many times it's become a running joke, and OpenAI's messy "super app" launch showed that even the biggest names in AI can stumble. These projects stalled or fell short not because the technology was impossible, but because ambition outpaced execution. If you want to understand why the internet feels like it's held together by glue and dreams, our piece on AI revealing the fragile foundations of the modern web offers a fitting companion.
Learning from AI's missteps to build more resilient data tools
Apple's Siri kept missing its own deadlines, and OpenAI's messy "super app" launch never found its footing. They now sit in the AI graveyard, a running list of projects and startups that didn't make it. That list is worth studying, not for schadenfreude, but for clarity. Building AI is hard, and shipping it well is harder. If you want to understand why some efforts stumble while others scale, start here.