▶ 100M Rows Large-Scale Data Grid Demo : https://youtu.be/B9g5eS67lgI
▶ SQLite-free Independent Pivot Engine Demo : https://youtu.be/kogwYZtLBp8
▶ Optimized Gantt Chart Infrastructure Demo : https://youtu.be/woAFZVRlaP4
▶ Global Business Inquiries Email : iamtheman@naver.com
#LargeScaleGrid #PivotEngine #BinaryFilter #InMemoryPivot #ProprietaryTech #ScalpingTrade #GanttChart #VanillaJS #100MillionData #BigData #SVIEW
Hey HN,
I engineered an independent vanilla JavaScript UI framework (SVIEW) that completely bypasses the browser's 6GB sandbox memory limits to render, filter, and pivot 100,000,000 massive enterprise rows smoothly with zero memory leaks.
The fun part? The live demo server is hosted on an absolute ancient legacy laptop from 11 years ago: * Intel® Core™ 5700HQ CPU, DDR4 16GB 1600MHz
Since SVIEW operates with 100% client-side dominance, the server does zero computational work—it simply acts as a raw MariaDB repository chunking data. The multi-dimensional data matrix pivoting, binary mathematical operation multi-filters, and dependency-driven Gantt chart rendering are executed entirely on the client's browser thread.
Check out the live demo link and the 3 video proofs, fully tested to handle 100M+ scale sampling control with complete real-time CRUD editing.
[Roadmap] - Securing processing capability for theoretical infinite data in large-scale data grids - Securing feasibility of pivot function for large-scale data grids of 100 million or more rows - Invest in the impossible, original, and monumental enterprise capability of SVIEW!
No editing tricks, no background music overhead—just pure vanilla JavaScript performance defying hardware limitations. I am open to strategic acquisition partnerships encompassing comprehensive SVIEW infrastructure license transfer (IP adoption) and full-time global career integration as a Principal UI Architect.
Let me know what you think of this architecture!