LinkedIn secures court order to halt unauthorized mass scraping of user data

·1 views

LinkedIn has obtained a court order blocking the mass scraping of user data from its platform. The ruling represents a legal win for the Microsoft-owned professional networking site in its ongoing efforts to protect user information. Mass scraping involves automated tools extracting large volumes of data without permission, raising privacy and terms-of-service concerns. The court order signals growing judicial willingness to support platforms seeking to curb unauthorized data harvesting. This development could set a precedent for how similar data-scraping disputes are handled in the future.

Read the full story at Hacker News

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

DocumentDB 0.116 Adds Distinct Scan for $group Queries, Cutting Index Reads Sharply

DocumentDB 0.116, released on August 20, 2026, introduces a distinct scan optimization for MongoDB-style $group aggregation queries running on its PostgreSQL extension. Instead of scanning all index entries and discarding duplicates, the new path jumps directly between distinct key values, reducing index reads from 50,000 entries to just 100 in a test dataset. The feature, called enableGroupByDistinctScan, is disabled by default and must be explicitly enabled via a system setting. DocumentDB is an open-source PostgreSQL extension that implements the MongoDB API, with Microsoft as its primary contributor through feedback from Azure DocumentDB enterprise users. The optimization builds on the same loose-index-scan principle previously applied to MongoDB's DISTINCT_SCAN for first- and last-per-group queries.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

DocumentDB 0.113 adds covering index support for $group aggregation pipeline

DocumentDB version 0.113, released on June 22, 2026, introduces an index-only access path for MongoDB-style $group aggregation queries within its PostgreSQL execution engine. DocumentDB is a fully open-source PostgreSQL extension that implements the MongoDB API, offering an open alternative for MongoDB applications. The new feature allows aggregation queries using $group and $sum to read directly from index entries rather than scanning full documents, improving query efficiency. In benchmark tests comparing versions 0.112 and 0.113 on a 10,000-row dataset, the updated version achieved zero documents examined while scanning only index keys. Microsoft is the primary contributor to the project, refining the extension based on enterprise customer feedback gathered through Azure DocumentDB.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Open-Source Tool Generates Synthetic Data Locally to Avoid Cloud Privacy Risks

A developer has released AI Synthetic Data Studio, an open-source tool that generates realistic synthetic datasets entirely offline using local language models via Ollama. The tool addresses a common compliance problem faced by developers who need test data but cannot legally use production data under regulations such as GDPR, HIPAA, and KVKK. Sending database schemas or sample rows to cloud-hosted AI APIs can violate enterprise data boundaries, making a local, air-gapped solution appealing. The studio separates semantic data generation from deterministic validation, ensuring every record meets type, range, and pattern constraints before being saved. The project is backed by over 960 automated tests and requires no external network calls to operate.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Developer builds tool to link 2.86B AI coding tokens to actual Git commits

A developer built an open-source tool called Centrail after noticing that AI coding invoices show token counts but not what those tokens actually produced. By tracking his own usage across tools like Claude Code and Copilot, he logged 2.86 billion tokens and $4,099 in spend across 944 commits, arriving at a unit cost of $4.34 per commit. The CLI tool runs locally, reads usage data from AI coding agents, and ties each token and dollar to the Git commit it generated. Results sync to a shared dashboard, eliminating the need for manual spreadsheet updates across teams. The tool also estimates the energy, water, and carbon footprint associated with each token, using a publicly documented methodology.

0 comments Read more at DEV Community