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Strava Enhances Data Security To Curb Aggressive AI Scraping

by THEFUTURE.TEAM

AI’s Data Appetite Spurs Strava’s Strategic Response

Strava is tightening access to user data and introducing new charges for developers as artificial intelligence companies increasingly seek large datasets to train their models. As AI firms collect growing volumes of online information, often bypassing mechanisms such as robots.txt, the fitness platform is introducing measures aimed at limiting unauthorized scraping and strengthening control over its data.

Securing Data With Stringent Authentication

Previously, Strava users could view a range of information, including public profiles and fitness club listings, without signing in. The company is now requiring authentication to access certain data, making it more difficult for third parties to collect information at scale. The move reflects a broader industry trend as online platforms seek to protect intellectual property, preserve site performance and maintain control over user-generated content.

Revising Developer Access And API Protocols

Strava is also changing how developers access its API. Under the previous model, developers could access the platform through a tiered system that expanded as applications grew. Going forward, all developers will be required to pay a flat fee of $11.99 per month, although pricing may vary by region. The company noted that its developer community has grown from 185,000 to 241,000 members over the past year. At the same time, Strava plans to continue supporting developers through updates, including compatibility with the emerging Model Context Protocol (MCP).

Balancing Innovation With Security

Alongside the new pricing structure, Strava is retiring certain API endpoints and limiting some API calls as part of its broader effort to protect user data. The changes follow earlier policy decisions that prohibited the use of Strava data for AI model training and restricted some third-party data displays. To help developers adjust, the company will provide a 90-day transition period before the new rules take full effect.

Industry Impact And Investor Confidence

Michael Martin, CEO of Strava, warned of the broader consequences: “AI companies are ruthlessly scraping public websites, given their endless need for training data, which is degrading site performance across the board. We have witnessed multiple incidents of diminished website performance, and further attempts to exploit our API have been met with firm resistance.” Martin emphasized that while some developers may accept the subscription fee, discontinuing certain API endpoints will inevitably affect dependent applications. The decision also sends a confident signal to prospective investors, particularly as Strava previously filed confidentially for an IPO.

Contextualizing Data Discipline In A Competitive Landscape

Strava’s approach differs from that of some larger technology platforms. While Reddit’s API pricing changes drew criticism from developers who argued that access had become prohibitively expensive, Strava’s flat-fee structure is intended to preserve access while strengthening control over platform data. By reinforcing ownership of user-generated information, the company is seeking to balance developer access with growing concerns around AI training and large-scale data collection.

Looking Ahead

As AI adoption accelerates, technology companies are increasingly reassessing how their data is accessed, shared and monetized. Strava’s latest changes highlight the growing tension between supporting open developer ecosystems and protecting platform data in an era of expanding demand for AI training resources.

Meta’s Muse Is Outpacing ChatGPT In Early Mobile Adoption, New Data Suggests

by THEFUTURE.TEAM

Meta’s new AI app, Muse, may be emerging as one of the company’s strongest consumer launches to date. Fresh estimates from market intelligence firm Apptopia suggest the app has outperformed ChatGPT in early mobile traction, at least in the U.S. and Canada.

According to Apptopia, Muse recorded more downloads in its first 12 days on the market than ChatGPT did during the comparable period after its mobile debut. The comparison, limited to the U.S. and Canada, puts Muse’s iOS downloads at 1.8 million versus 1.3 million for ChatGPT over the same initial window.

A Strong Early Start Across Platforms

In total, Muse has reached 2.8 million global installs in its first 12 days, according to the firm. The app’s momentum also appears to be holding. After debuting at No. 2 on the U.S. App Store, Muse has since climbed to No. 1, surpassing ChatGPT, according to reporting from Business Insider. Appfigures had previously estimated that Muse crossed 1 million downloads shortly after launch.

That early rise matters because app-store performance in the first days after launch often signals whether a product can sustain consumer attention beyond initial curiosity. In Meta’s case, the data suggests Muse is not simply benefiting from novelty; it is gaining ground quickly enough to challenge the category leader.

Daily Users Show Similar Momentum

Apptopia’s estimates point to another favorable comparison for Meta: daily usage. In the U.S. alone, Muse is said to have 642,000 daily active users, well above the 231,000 ChatGPT had at the same stage of its mobile rollout.

To make the comparison fairer, Apptopia also narrowed the analysis to iOS only, since ChatGPT launched on iPhone before expanding more broadly. Even under that tighter lens, Muse still comes out ahead, with 359,000 daily active users on iOS compared with ChatGPT’s earlier figure.

Why Meta Has An Advantage

Third-party estimates are not the same as internal company data, and Apptopia cannot see Meta’s proprietary numbers. Still, even directional data suggests Muse may be on track to become a meaningful consumer product for Meta.

That possibility is strengthened by Meta’s distribution advantage. The company has already demonstrated how powerful its ecosystem can be with Threads, which surpassed 500 million users after heavy promotion across Instagram and Facebook. Muse is likely to receive a similar boost, especially because it can connect across Facebook, Instagram, and WhatsApp.

Apptopia does not track Meta’s internal promotion strategy, but its data indicates that more than 95% of Muse users are also Facebook users, while 63% are Instagram users. That overlap underscores how effectively Meta can move users across its products when it chooses to prioritize a launch.

The Strategic Test For Meta

For Meta, the early signal from Muse is less about one app’s download count than about whether the company can turn its scale into durable AI adoption. The first test is attention. The harder one is retention.

If Muse can convert early downloads into habitual use, Meta may have found a new front door into its AI ambitions. If not, the app risks becoming another example of how easily mobile hype can spike before settling back down.

Meta, which was asked for comment, has not yet released public figures on Muse’s early adoption.

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