
Daniel Priori developed advanced 3D visualization and data management features for the cognitedata/reveal repository over 15 months, focusing on hybrid CAD model support, rule-based data retrieval, and robust annotation systems. He engineered solutions using TypeScript, React, and WebGL, optimizing asset mapping, camera controls, and icon clustering to improve performance and user experience. Daniel’s work included modularizing code, refining data fetching with parallelization and caching, and enhancing test coverage for reliability. By integrating API-driven data modeling and UI enhancements, he addressed complex requirements for asset search, annotation, and visualization, delivering maintainable, high-quality features that improved system stability and extensibility.
January 2026 focused on stabilizing the 3D visualization experience in CogniteReveal. Delivered a distance-based icon clustering feature with comprehensive tests and performance-oriented refactors to prevent icons from disappearing based on camera position, and issued a maintenance WebGL viewer release (4.28.7) to address stability and minor improvements. This work improves visualization reliability, reduces user confusion, and strengthens code quality and test coverage across the core viewer.
January 2026 focused on stabilizing the 3D visualization experience in CogniteReveal. Delivered a distance-based icon clustering feature with comprehensive tests and performance-oriented refactors to prevent icons from disappearing based on camera position, and issued a maintenance WebGL viewer release (4.28.7) to address stability and minor improvements. This work improves visualization reliability, reduces user confusion, and strengthens code quality and test coverage across the core viewer.
December 2025: Delivered a 360-degree Image Viewer Icon Rendering Enhancement for cognitedata/reveal by tuning clustering parameters to improve performance and visual fidelity. Commit 5980046aac629b864a04360fe8ee8669b3d3c6d3. This focused change reduces rendering overhead and enhances icon clarity in immersive views, enabling faster, more reliable data exploration for users. No major bugs reported this month. Technologies/skills demonstrated include rendering pipeline optimization, clustering parameter tuning, and precise, traceable commits.
December 2025: Delivered a 360-degree Image Viewer Icon Rendering Enhancement for cognitedata/reveal by tuning clustering parameters to improve performance and visual fidelity. Commit 5980046aac629b864a04360fe8ee8669b3d3c6d3. This focused change reduces rendering overhead and enhances icon clarity in immersive views, enabling faster, more reliable data exploration for users. No major bugs reported this month. Technologies/skills demonstrated include rendering pipeline optimization, clustering parameter tuning, and precise, traceable commits.
November 2025 highlights for cognitedata/reveal: Delivered robust hybrid 360s annotations in the Viewer, added an Instance Link Revision Annotations Retrieval Filter for asset data, and upgraded the Viewer to a newer release. Also fixed a missed filter in revision annotations retrieval and expanded test coverage. These efforts improved data accuracy, annotation capabilities, and viewer performance, delivering tangible business value through more reliable asset annotations and faster inspection workflows.
November 2025 highlights for cognitedata/reveal: Delivered robust hybrid 360s annotations in the Viewer, added an Instance Link Revision Annotations Retrieval Filter for asset data, and upgraded the Viewer to a newer release. Also fixed a missed filter in revision annotations retrieval and expanded test coverage. These efforts improved data accuracy, annotation capabilities, and viewer performance, delivering tangible business value through more reliable asset annotations and faster inspection workflows.
For 2025-10, delivered hybrid annotations for point clouds and the 3D widget, enabling click-based retrieval of asset references with caching and UI integration across classic assets and DMS instances. The feature was rolled out in a multi-part effort (parts 1–4) with foundational work and tests, culminating in including Point Cloud models in the 3D widget list. Additionally, updated react-components to 0.91.0 (no functional changes).
For 2025-10, delivered hybrid annotations for point clouds and the 3D widget, enabling click-based retrieval of asset references with caching and UI integration across classic assets and DMS instances. The feature was rolled out in a multi-part effort (parts 1–4) with foundational work and tests, culminating in including Point Cloud models in the 3D widget list. Additionally, updated react-components to 0.91.0 (no functional changes).
September 2025: Focused on stability, performance, and maintainability for cognitedata/reveal. Delivered a robust cleanup for non-referenced models, implemented efficient asset fetching by IDs in RuleBasedOutputsSelector, and completed routine maintenance to stabilize dependencies and unify date formatting across components, contributing to improved performance, reliability, and developer productivity.
September 2025: Focused on stability, performance, and maintainability for cognitedata/reveal. Delivered a robust cleanup for non-referenced models, implemented efficient asset fetching by IDs in RuleBasedOutputsSelector, and completed routine maintenance to stabilize dependencies and unify date formatting across components, contributing to improved performance, reliability, and developer productivity.
Month 2025-08 Summary: Delivered foundational enhancements to data connectivity, expanded support for hybrid CAD in rule-based coloring, and streamlined access to model metadata. Implemented multi-connection per instance data retrieval, introduced a robust hook for DM connections with nodes from hybrid mappings, and exposed model/revision ID access via library hooks. Also upgraded a core dependency to rc 0.85.3 to improve compatibility and stability. These efforts collectively improve data accuracy, customization capabilities, and integration ease for Fusion-like workflows, driving faster insights and fewer integration gaps.
Month 2025-08 Summary: Delivered foundational enhancements to data connectivity, expanded support for hybrid CAD in rule-based coloring, and streamlined access to model metadata. Implemented multi-connection per instance data retrieval, introduced a robust hook for DM connections with nodes from hybrid mappings, and exposed model/revision ID access via library hooks. Also upgraded a core dependency to rc 0.85.3 to improve compatibility and stability. These efforts collectively improve data accuracy, customization capabilities, and integration ease for Fusion-like workflows, driving faster insights and fewer integration gaps.
2025-07 Monthly Summary for cognitedata/reveal: Implemented Hybrid CAD Model Support in useModelsForInstanceQuery, enabling hybrid CAD data handling via getCadModelsForHybridDmInstance; refactored network fetch paths and TypeScript definitions to support the new capability. No major bugs reported this month; focused on delivering business value by expanding model compatibility and strengthening core data-fetch pathways. Key achievements: 1) hybrid CAD support feature, 2) refactor of network fetch and types, 3) commit integration (#5240) for scalable CAD data queries.
2025-07 Monthly Summary for cognitedata/reveal: Implemented Hybrid CAD Model Support in useModelsForInstanceQuery, enabling hybrid CAD data handling via getCadModelsForHybridDmInstance; refactored network fetch paths and TypeScript definitions to support the new capability. No major bugs reported this month; focused on delivering business value by expanding model compatibility and strengthening core data-fetch pathways. Key achievements: 1) hybrid CAD support feature, 2) refactor of network fetch and types, 3) commit integration (#5240) for scalable CAD data queries.
June 2025 monthly summary for cognitedata/reveal focusing on camera state synchronization bug fix and test improvements; highlights business value and technical achievements.
June 2025 monthly summary for cognitedata/reveal focusing on camera state synchronization bug fix and test improvements; highlights business value and technical achievements.
May 2025 summary for cognitedata/reveal: Camera State Management Enhancements and URL-based state persistence improving UX and robustness. Implemented simultaneous rotation and target updates with correct prioritization in FlexibleCameraManager, and added persistence of camera position, target, and rotation in the URL with optional rotation parameter. Coverage expanded with tests. Delivered through targeted fixes across components (commits #5118 and #5116), enabling deeper linking and reproducible camera states across sessions and shares.
May 2025 summary for cognitedata/reveal: Camera State Management Enhancements and URL-based state persistence improving UX and robustness. Implemented simultaneous rotation and target updates with correct prioritization in FlexibleCameraManager, and added persistence of camera position, target, and rotation in the URL with optional rotation parameter. Coverage expanded with tests. Delivered through targeted fixes across components (commits #5118 and #5116), enabling deeper linking and reproducible camera states across sessions and shares.
March 2025 summary for cognitedata/reveal focused on DMS asset search reliability and data querying improvements. Implemented a cohesive set of changes to improve search accuracy, added robust query generation, and strengthened test coverage. Also delivered refinements to asset request mapping and 3D object filtering to prevent incorrect results, establishing solid production stability for DMS assets.
March 2025 summary for cognitedata/reveal focused on DMS asset search reliability and data querying improvements. Implemented a cohesive set of changes to improve search accuracy, added robust query generation, and strengthened test coverage. Also delivered refinements to asset request mapping and 3D object filtering to prevent incorrect results, establishing solid production stability for DMS assets.
February 2025 monthly summary for cognitedata/reveal. Focused on delivering performance and reliability improvements to the rule-based coloring system, with a targeted refactor for better maintainability and UI integration. Key outcomes include a significant performance gain from parallel data fetching, a reliability fix to filter undefined asset IDs, and a refactor of Rule Based Outputs to remove circular dependencies. The changes were accompanied by a library version bump (0.75.2) and UI integration work to ensure a smooth user experience.
February 2025 monthly summary for cognitedata/reveal. Focused on delivering performance and reliability improvements to the rule-based coloring system, with a targeted refactor for better maintainability and UI integration. Key outcomes include a significant performance gain from parallel data fetching, a reliability fix to filter undefined asset IDs, and a refactor of Rule Based Outputs to remove circular dependencies. The changes were accompanied by a library version bump (0.75.2) and UI integration work to ensure a smooth user experience.
January 2025 (2025-01) focused on optimizing asset mapping retrieval and ensuring data consistency in the React Components Library for Cognite Reveal. The work centered on coreDM-only mode improvements and revisionId caching to streamline connections with views, reducing unnecessary fetches and caching costs while preserving accuracy across clients.
January 2025 (2025-01) focused on optimizing asset mapping retrieval and ensuring data consistency in the React Components Library for Cognite Reveal. The work centered on coreDM-only mode improvements and revisionId caching to streamline connections with views, reducing unnecessary fetches and caching costs while preserving accuracy across clients.
December 2024 (cognitedata/reveal): Implemented POI creation enhancements and UI polish to improve user experience and data integrity. Delivered multi-field POI input (name and description) via CustomBaseInputCommand, added an instance reference component in the POI creation panel, and applied UI improvements for color consistency and icon rendering. Performed input handling refinements to streamline data processing. Upgraded React components to 0.73.1 and executed targeted refactors to improve maintainability (e.g., removing casting by filtering and extracting clean content to a function).
December 2024 (cognitedata/reveal): Implemented POI creation enhancements and UI polish to improve user experience and data integrity. Delivered multi-field POI input (name and description) via CustomBaseInputCommand, added an instance reference component in the POI creation panel, and applied UI improvements for color consistency and icon rendering. Performed input handling refinements to streamline data processing. Upgraded React components to 0.73.1 and executed targeted refactors to improve maintainability (e.g., removing casting by filtering and extracting clean content to a function).
November 2024 Highlights for cognitedata/reveal: Delivered four key improvements: (1) Resource Load Callback API for Reveal3DResources to notify parent components when resources are loaded; enabled onResourceIsLoaded callback to surface loaded resource information for CAD/Point Cloud or Image360 data. (2) Exposed new SceneData types and refactored Use3dScenes typing to reuse centralized types, improving typing accuracy and maintainability. (3) Dependency maintenance: Upgraded react-components to 0.66.1 with no functional changes, ensuring compatibility and stability. (4) Added keyboard shortcuts for Points of Interest tool: P to toggle the tool and Esc to cancel/close panels, enhancing UX and editing workflow. These changes collectively improve data loading visibility, type safety, maintainability, and user interaction efficiency.
November 2024 Highlights for cognitedata/reveal: Delivered four key improvements: (1) Resource Load Callback API for Reveal3DResources to notify parent components when resources are loaded; enabled onResourceIsLoaded callback to surface loaded resource information for CAD/Point Cloud or Image360 data. (2) Exposed new SceneData types and refactored Use3dScenes typing to reuse centralized types, improving typing accuracy and maintainability. (3) Dependency maintenance: Upgraded react-components to 0.66.1 with no functional changes, ensuring compatibility and stability. (4) Added keyboard shortcuts for Points of Interest tool: P to toggle the tool and Esc to cancel/close panels, enhancing UX and editing workflow. These changes collectively improve data loading visibility, type safety, maintainability, and user interaction efficiency.
October 2024 focused on delivering rule-based data reliability improvements and maintaining project health in cognitedata/reveal. Key deliverables include Rule Builder Time Series Data Retrieval Enhancements, enabling more accurate and faster retrieval of time series data linked to assets via relationships, and a routine dependency upgrade of react-components to 0.61.1 to maintain compatibility and reduce risk. These efforts improved data integrity, system performance, and maintainability, supporting more reliable rule-based outputs and smoother downstream consumption by analytics and decision systems. Technologies demonstrated include React components, hooks, data relationship modeling, and dependency management.
October 2024 focused on delivering rule-based data reliability improvements and maintaining project health in cognitedata/reveal. Key deliverables include Rule Builder Time Series Data Retrieval Enhancements, enabling more accurate and faster retrieval of time series data linked to assets via relationships, and a routine dependency upgrade of react-components to 0.61.1 to maintain compatibility and reduce risk. These efforts improved data integrity, system performance, and maintainability, supporting more reliable rule-based outputs and smoother downstream consumption by analytics and decision systems. Technologies demonstrated include React components, hooks, data relationship modeling, and dependency management.

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