... same wrist, same night of sleep, same morning. One shows green, one shows red. And neither will tell you how it decided. That's not a hardware problem. It's an algorithm problem. Different weightings, different baseline calculations, different thresholds - all proprietary, all invisible. You're left choosing which black box feels more right today. The reason we open-sourced the scoring algorithms in Open Wearables wasn't just philosophical. It's because conflicting scores are meaningless without context ... ... context requires transparency. When you can see exactly how a Resilience Score weights HRV versus

... myself. The algorithm is locked. You get a number, you trust it, you stop there. When we built Open Wearables, we decided the scoring layer should work differently. Sleep Score and Resilience Score shipped in v0.5 - every coefficient, every threshold, every weighting is in the repo and you can fork them, tune for endurance athletes or elder care or clinical populations. Moreover, you run them on your own infrastructure and the same algorithms feed the MCP layer so AI coaching ... ... ones to answer clearly:) Thanks for following the thread - remember to leave an upvote if you like the idea @amelia_martin7 Comment from Kamil Maksymowicz(@kamil_maksymowicz): @naprich  True! The pro athlete baseline problem is real. Default HRV thresholds

... these features is a levels system. These are often tied to other features like leaderboards to create leagues, and linked to rewards to create progression paths. So with the addition of points levels, you can now define discrete thresholds within your Trophy points systems and Trophy will take care of assigning the correct level to each user based on their current points total as it changes. How do I create points levels? The points page in the Trophy dashboard ... ... creating levels. Badges can be assigned to each level, and updating thresholds

... accidentally cross a tax/visa threshold while traveling Hi everyone! I joined the small Flamingo Compliance team less than 2 weeks ago and we re building an iOS app that helps frequent travelers and global teams track days-in-country and generate an audit-ready travel record . We don t give legal advice, we help you keep clean evidence and visibility. Would love feedback from people who travel often to better understand the market: How do you track days today? (spreadsheet ... ... calendar / app / mental math?) What s the biggest pain: Schengen 90/180, tax residency thresholds

... distinctive security-tool aesthetic inspired by SOC & cyber-defense consoles. 3. Real-Time Monitoring Engine Enhancement Background monitoring now runs in a safe daemon thread with: Stability improvements Clean start/stop handling Detailed presence logs and thresholds 4. Smart Lock Logic Update The system now uses: Safety threshold

... Thumbnails mirror detection overlays so you can track which images were processed. Models: We use (e.g., yolov8x.onnx) for high accuracy and performance. FILTERS Available filters: Histogram Equalization, Adaptive HE (CLAHE), Sobel/Laplacian edges, High-pass, Fourier visualization, Infrared (colormap), Binary Threshold, Contour detection, Gabor, Brightness/Contrast, Non-Local Means denoise, RGB channel decomposition, Unsharp mask, Clear Filters. Applying a filter automatically clears detections and manual annotations for the current image (including saved detection data) so reports reflect the filtered state. Clear Filters ... ... filters, or local edits use alongside SSIM and ELA. Larger YOLO models improve accuracy but cost performance; pick models appropriate for your hardware and timelines. For forensic rigor: keep originals immutable; work on copies; capture tool versions, model names, thresholds

... latency, and improved completion rates. 4. Production readiness is a discipline. We built a Production Readiness Audit to stress security, scalability, and performance beyond it works on dev . 5. Load reveals truth. A load-testing shock forced pragmatic quality thresholds and better prioritization systems get smarter under stress. Questions for the community How are you deciding when to use structured vs

... stop words before matching Highlight or remove near duplicates, even with typos or inconsistent formatting Calculate similarity scores between any two text entries based on percentage or find their semantic meaning using AI Extract unique values based on threshold similarity levels Combine lookup values to increase specificity when data contains similar strings New enhancements I recently added semantic fuzzy matching (meaning based text comparison powered by AI) and launched a REST API for automation and integration. You can now automate ... ... data cleansing tasks, schedule jobs or embed Flookup functions in other applications. Why it works Flookup gives users control over match logic: choose percentage thresholds