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Denys Tsvaigleft a comment
Looks great, Josh — love the clean approach to analytics without the fluff 👏 Quick question: Do you plan to support traffic source segmentation (e.g. by country, device, or referrer) in the dashboard? Would be super helpful for product teams!
WebVisorFinally, a web analytics tool that speaks human (GSC Sucks!)
Denys Tsvaigleft a comment
Yes. The long-term implications of Apple’s on-device foundation models are massive — especially in privacy-sensitive fields like healthcare. Running AI locally opens the door to highly personalized, secure, and ultra-fast experiences. We at DeHealth are already thinking ahead: how can on-device AI empower patients to own and understand their health data without ever sending it to the cloud?
Foundation Models frameworkBuild with Apple's on-device AI, now open to developers
Denys Tsvaigleft a comment
🚀 Super sleek concept! Quick question — how does Viberunner handle data persistence or syncing across multiple devices? Can these micro-apps be shared or collaborated on with others?
ViberunnerBuild personal desktop apps in seconds
Denys Tsvaigleft a comment
Great update, Gary! 👏 How does CaptureLinker 2.0 handle performance during long sessions — any built-in optimizations to prevent overheating or CPU throttling, especially on M1/M2 Macs? Also curious: are you planning iPad or iPhone support in the future? Thanks and congrats on the launch 🚀
CaptureLinker 2.0Stream your HDMI content to Vision Pro
Denys Tsvaigleft a comment
Great idea, good luck with the project!
Lookverse.aiApp for personalized fashion discovery and shopping
Denys Tsvaigleft a comment
Good idea! I see many opportunities for collaboration with DeHealth.
People DatasetFull people data on hundreds of millions of profile