Alternatives
Products that do what GSDCost Software does
Calculate garment SMV through method-time-cost analysis.
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Process large (e.g. 4GB+) data sets in a spreadsheet. Load GB/32 million-row files in seconds and use them without any crashes using up to about 500GB RAM. Load/edit in-place/split/merge/clean CSV/text files with up to 32 million rows and 1 million columns. Use your Python functions as UDF formulas that can return to GS-Calc images and entire CSV files. Use a set of statistical pivot data functions. Solver functions virtually without limits for the number of variables. Create and display all popular chart types with millions of data points instantly. Suggestions…
2025 · citadel5.com
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Apr 2026 · github.com
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2025 · github.com
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Mar 2026 · github.com
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QR bundle tracking & piece-rate ERP for garment factories
Apr 2026 · scanerp.pro
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This is a vector index I built that supports insertion and k-nearest neighbors (k-NN) querying, optimized for GPUs. It operates entirely in CUDA and can process queries on half a billion vectors in under 200 milliseconds. The codebase is structured as a standalone library with an HTTP API for remote access. It’s intended for high-performance search tasks—think similarity search, AI model retrieval, or reinforcement learning replay buffers. The codebase is located at https://github.com/rodlaf/BinaryGPUIndex.
2025 · rlafuente.com
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2024 · columns.ai
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2023 · sodcalculator.com
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We’ve been working on a search problem that requires querying both text and numbers simultaneously. For example, in a dataset of clothing items with descriptions and prices, a search for “slim pants for $20” should prioritize skinny jeans for $25 over slim pants for $50 because they are semantically similar and the price is closer. I’ve found that standard embedding models struggle with numerical ordering, while text-to-SQL methods rely on exact matches and often filter out too many results. To solve this, we built a system designed specifically for structured datasets like CSVs or tables.…
2025 · demo.tryvoker.com
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Factory-based GSM and price checks for fabric buyers
Aug 2026 · qifu2023.com
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Here is a Go implementation of FSST, a fast static symbol table compression. It comes with training, encode/decode helpers, and examples. It’s great for logs and JSON data. Reference implementation: https://github.com/cwida/fsst Paper: https://www.vldb.org/pvldb/vol13/p2649-boncz.pdf Benchmarks and tests are in the repo - feedback welcome. P.S. Assisted by AI.
Oct 2025 · github.com
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Dataherald is a no-code data platform that allows you to create and deploy powerful data content (charts, maps, graphs) in less than 60 seconds. We’ve automated ETL for hundreds of public and proprietary data sources, surfacing ready-to-use live-updating visualizations in as little as 3 clicks. Bureau of Labor Statistics (BLS) inflation and employment data, FRED economic and automotive data, and hundreds of other fascinating data feeds are already piped in and at your fingertips – the only thing left is for you to create your own custom visualizations and generate insights from them.…
2022 · app.dataherald.com
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Sleek dark-themed GST/VAT invoicing & inventory tool
Jul 2026 · khatape360.vercel.app
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Morning HN. I worked on a cloud CMS and then pivoted an analytics feature to a standalone SaaS. Pathview focuses on the conversion path rather than general analytics. I want to help users optimize conversions. It doesn’t use cookies, contains 160-characters of JavaScript, and leverages HTTP Messaging for a modern take on an old-school analytics approach. I’m close to launching a public beta test and could use a sanity check. Any advice, feedback, or questions for this first-time developer? -sb
2022 · pathview.io
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2021 · readgsd.com
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