Italian Artist Launches Free Open-Source AI Social Listening Tool Called Radar

·1 views

Massimo, an Italian artist and creative technologist, has released Radar, an open-source AI-powered social listening platform designed as a free alternative to costly enterprise tools like Brandwatch and Talkwalker. The self-hostable platform uses the Claude AI API and aggregates data from nine free sources, including GDELT, Google News, Bluesky, Mastodon, Hacker News, Telegram, and RSS feeds. Enterprise social listening tools typically cost thousands of dollars per month, whereas Radar requires only an API key — or nothing at all for basic data collection. The project supports the full workflow of listening, analyzing, and creating content, and is aimed at individuals or small teams. Radar is still in active development, with multilingual support and additional premium connectors listed on its roadmap.

Read the full story at DEV Community

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

Discussion (0)

How to Build a Reliable Eval Suite for LLM-Powered Product Features

Adding evaluations to large language model features is essential for shipping reliable products, not just demos, since LLMs are non-deterministic and can silently degrade with every prompt change or model update. The process begins by defining a clear, business-oriented success criterion — such as whether an AI calling agent successfully booked a meeting — rather than vague technical measures. Developers then build a curated dataset of real test cases, including edge cases like interruptions or ambiguous responses, to serve as a concrete specification for expected behavior. Frameworks like DeepEval or Evidently AI can be used to structure metrics and automate evaluation checks within continuous integration pipelines. The approach transforms unpredictable LLM output into measurable, trackable signals that help teams catch regressions before they reach users.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Junior Data Scientist Builds Model to Predict Promoted Clubs' Top-Flight Survival

A beginner data scientist has launched a portfolio project aimed at predicting whether newly promoted clubs in Europe's top football leagues will avoid relegation in their debut season. The project is motivated by the fact that roughly two out of three promoted clubs are relegated in their first season back in the top flight. Using match data from football-data.co.uk dating back to 1993/94, the model will analyze only the first eight games of a club's debut season to generate early survival predictions. The tech stack includes pandas, scikit-learn, imbalanced-learn, and a Streamlit dashboard for interactive visualization. The project follows a public six-part timeline running from July 11 to August 8, 2026, with acknowledged challenges including a small dataset of around 60–100 samples and inconsistent team naming across data sources.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Google launches Open Knowledge Format to standardize AI context with Markdown files

On June 12, 2026, Google Cloud released the Open Knowledge Format (OKF) v0.1, an open specification designed to give AI agents structured, portable context without relying on proprietary systems. The format uses plain Markdown files with YAML frontmatter, requiring only one mandatory field — 'type' — making it deliberately minimal and tool-agnostic. Google's goal is to solve a widespread problem: organizational knowledge is scattered across incompatible sources, forcing every team building an AI agent to reassemble context from scratch. Alongside the spec, Google released reference implementations including a BigQuery enrichment agent, a static HTML graph visualizer, and updated its own Knowledge Catalog to ingest OKF bundles. The project, hosted at GoogleCloudPlatform/knowledge-catalog, draws inspiration from Andrej Karpathy's 'LLM-wiki' concept, betting that AI agents can maintain the cross-referenced knowledge bases that humans have historically abandoned.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

JavaScript Conditional Statements: A Practical Guide to All Key Types

JavaScript offers several conditional statement types to control program flow based on logical conditions. The basic if, if...else, and if...else if...else structures handle simple to multiple condition checks, while the switch statement is better suited for evaluating many possible values of a single variable. Nested if statements allow conditions to be checked inside other conditions for more complex logic. The ternary operator provides a compact single-line alternative to standard if...else blocks. Each structure serves a distinct purpose, and choosing the right one depends on the number and complexity of conditions involved.

0 comments Read more at DEV Community