Show HN: KV and wide-column database with CDN-scale replication https://ift.tt/l8itAUa

Show HN: KV and wide-column database with CDN-scale replication https://ift.tt/h3I7wLR December 14, 2025 at 03:55AM

Show HN: I built a one-click coin flip with no ads or tracking https://ift.tt/UDvCAsy

Show HN: I built a one-click coin flip with no ads or tracking https://ift.tt/F85QJA1 December 14, 2025 at 03:41AM

Show HN: Tic Tac Flip – A new strategic game based on Tic Tac Toe https://ift.tt/8W6fCeS

Show HN: Tic Tac Flip – A new strategic game based on Tic Tac Toe The biggest problem with Tic-Tac-Toe is that it almost always ends in a draw. Tic Tac Flip tries to fix that! Learn the rules in Learning Mode or below: - Winning Criteria: 3 Ghosts (Flipped O or X, which can be a mixture). It's not just 3 Os or 3 Xs anymore! - Flipping Mechanic: When one or more lines having only O and X are formed, the minority of either all Os or all Xs get flipped to a Ghost, and the majority gets removed from the board. E.g., A line of 2 Os and 1 X leads to 1 X ghost and the removal of 2 Os. - Active Flip: You can actively flip your O/X to a Ghost (or flip a ghost back) once per game. - Placing Ghost Directly: You can place a "Ghost" piece directly as a final winning move (only once, and only when there are two existing ghosts in a line). I'm looking for feedback on the game balance and learning curve. Specifically: - Is the "Ghost" and "Flip" mechanic intuitive? - Is the Learning Mode helpful? - Is the game fair? Any rule adjustments needed? - Any bugs or issues? Any suggestions or comments would be much appreciated. Thank you in advance! https://tic-tac-flip.web.app/ December 14, 2025 at 02:49AM

Show HN: Hands on tutorial for open source contribution https://ift.tt/Hsdv12G

Show HN: Hands on tutorial for open source contribution https://ift.tt/JCem9tH December 13, 2025 at 06:25AM

Show HN: Browser4 – an open-source browser engine for agents and concurrency https://ift.tt/kwNvdo0

Show HN: Browser4 – an open-source browser engine for agents and concurrency Hi HN, I’d like to share an open-source project we’ve been working on for a while: Browser4 . The motivation came from a recurring frustration: most browser automation tools (Playwright, Selenium, Puppeteer) are excellent for human-written scripts , but start to show friction when used as a core execution layer for AI agents or at very high concurrency. So instead of building “another wrapper around Playwright”, we experimented with a different direction: designing a browser engine where AI agents are first-class citizens. ### What Browser4 is Browser4 is a browser automation engine built on native Chrome DevTools Protocol (CDP) , with a focus on: * Coroutine-safe concurrency (designed to run many browser sessions in parallel) * Agent-oriented APIs (navigation, interaction, extraction as composable actions) * Hybrid extraction : ML agent driven extraction + LLM extraction + structured selectors + an SQL-like DOM query language (X-SQL) * Low-level control without Playwright-style abstraction overhead It’s written in Kotlin/JVM , mainly because we needed predictable concurrency behavior and long-running stability under load. The project is fully open-source (Apache 2.0). ### What it’s not * It’s not a drop-in Playwright replacement. * It’s not a no-code RPA tool. * It’s not “LLM magic” — LLMs sit outside the browser engine. Browser4 intentionally stays close to the browser execution layer and leaves planning/reasoning to external agent loops. ### Current use cases we’re testing * Large-scale web data extraction * Agentic workflows (search → navigate → extract → summarize) * Price / content monitoring with frequent revisits * High-concurrency crawling where browser startup and context switching are bottlenecks On a single machine, we can sustain very high daily page visits , though we’re still validating benchmarks across different workloads. ### Open questions (where I’d love feedback) * For agentic systems, does it make sense to bypass Playwright entirely and work closer to CDP? * Where do you see the biggest pain points when combining LLMs with browser automation today? * Is JVM a reasonable choice here, or is Python still the better tradeoff despite concurrency limits * What abstractions would you want in a browser engine built for AI agents? ### Links * GitHub: https://ift.tt/BHvFbn3 * Website (light overview): https://browser4.io Happy to answer technical questions or hear criticism — especially from people running browser automation or agent systems in production. Thanks for reading. https://ift.tt/6bJ3SQH December 13, 2025 at 02:25AM

Show HN: Claude Code Recipes for Knowledge Workers (Open Source) https://ift.tt/9gxRPMo

Show HN: Claude Code Recipes for Knowledge Workers (Open Source) I've been using Claude Code daily for about 6 months. After building the same prompts over and over, I started documenting them as "recipes" - structured prompts with context about when to use them and what output to expect. This repo has 100 recipes covering common knowledge work tasks: - Meeting notes → action items - Status reports - Performance reviews - Proposals and presentations - Data analysis narratives - SOPs and documentation Each recipe includes: - The problem it solves - When to use it (and when not to) - Prerequisites - Step-by-step prompts - Example output - Troubleshooting tips The recipes are organized into 10 tiers from universal tasks (everyone needs meeting notes help) to specialized functions (M&A due diligence, legal research). I also included 10 sample slash commands in the /premium folder that you can install directly into Claude Code's ~/.claude/commands/ directory. Happy to answer questions about how these evolved or discuss the patterns I've noticed in what makes prompts work well for different task types. https://ift.tt/SU0lKgc December 13, 2025 at 12:57AM

Show HN: An ASCII table that doesn't hurt your eyes https://ift.tt/7Bp12aV

Show HN: An ASCII table that doesn't hurt your eyes I got tired of ASCII tables on the internet looking like they’re stuck in 1990. So I built my own with a sleek dark theme, a search that accepts any input, and zero ads or other distractions. https://asciify.dev/ December 12, 2025 at 09:16PM