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Open Wearables
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Open Wearables is a self-hosted platform that provides unified API access to data from major wearable devices and fitness platforms. It handles OAuth authentication, data normalization, and syncing, eliminating the need to integrate each platform separately.
Why Open Wearables? Building health apps with wearable data shouldn't take months. Open Wearables eliminates the integration nightmare by providing:
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Open Wearables's answer:
Open Wearables is the only open-source, self-hosted API platform for wearable health data. Unlike proprietary SaaS solutions, developers get full source code access, deploy on their own infrastructure, and avoid vendor lock-in. Built by healthcare AI experts with ISO 13485 certification, it provides AI-ready data schemas and built-in compliance features that generic platforms lack.
Open Wearables's answer:
No per-user pricing that eats into your margins. Full data ownership and control. Deploy in weeks instead of months compared to building in-house. Unlike Terra, Junction, or Spike, you're not locked into a vendor's roadmap or pricing changes. Open source means community contributions, transparency for security audits, and the ability to customize for your specific use case.
Open Wearables's answer:
B2B developer teams at HealthTech startups or scaleups, fitness apps, and longevity platforms who need wearable data integration. Primary decision makers are CTOs evaluating build vs buy, product teams needing faster time-to-market, and technical founders without deep health data expertise.
Open Wearables's answer:
Momentum's 120+ healthcare AI developers kept encountering the same problem across client projects - every company needed wearable integrations, but each device had different APIs, data formats, and OAuth flows. Clients were spending weeks on basic integration before they could focus on their core product. We built Open Wearables to solve this recurring challenge and open-sourced it to help the entire developer community.
Open Wearables's answer:
PostgreSQL and TimescaleDB for time-series health data storage, FastAPI for developer-friendly REST endpoints, Docker for containerized deployment. OAuth 2.0 for secure user authorization across all supported platforms.
Open Wearables's answer:
Currently in MVP launch phase (December 2025) with early adopters in private beta. Momentum's existing healthcare AI clients transitioning to unified platform Active discussions with longevity platforms, fitness apps, and clinical trial companies. Growing developer community on GitHub with 200+ early registrations.
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# This is an example configuration file # To learn more, see the full config.yaml reference: https://docs.continue.dev/reference Name: Example Config Version: 1.0.0 Schema: v1 # Define which models can be used # https://docs.continue.dev/customization/models Models: - name: my gpt-5 provider: openai model: gpt-5 apiKey: YOUR_OPENAI_API_KEY_HERE - uses: ollama/qwen2.5-coder-7b - uses:... - Source: dev.to / 8 months ago
The Setup Reality: Installing Continue was straightforward since it functions as VS Code extension. Thereโs a bit of a jump to configure. I was using Agent mode, and some of the settings have to be changed on the web UI. Right now, Iโm using two different assistants: one for my Jekyll project and the other for my Astro projects. You can customize your assistant with what they call blocks by setting things like... - Source: dev.to / about 1 year ago
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