Audio
🔊 PgDog: A Traffic Cop for PostgreSQL Growth
📦 pgdogdev/pgdog
PgDog is an open-source tool that sits in front of PostgreSQL databases and helps them handle more traffic without forcing teams to rewrite their apps. It works like a smart traffic manager: it reuses database connections, spreads requests across servers, and can split data across multiple database machines when one server is no longer enough. This solves common scaling problems like slowdowns, too many simultaneous connections, and painful database growth. It is useful because apps can keep using standard PostgreSQL tools while PgDog handles the routing behind the scenes, improving speed, reliability, and room to grow with less operational effort.
🔗 https://github.com/pgdogdev/pgdog
📰 https://news.ycombinator.com/item?id=47123631
📦 pgdogdev/pgdog
PgDog is an open-source tool that sits in front of PostgreSQL databases and helps them handle more traffic without forcing teams to rewrite their apps. It works like a smart traffic manager: it reuses database connections, spreads requests across servers, and can split data across multiple database machines when one server is no longer enough. This solves common scaling problems like slowdowns, too many simultaneous connections, and painful database growth. It is useful because apps can keep using standard PostgreSQL tools while PgDog handles the routing behind the scenes, improving speed, reliability, and room to grow with less operational effort.
🔗 https://github.com/pgdogdev/pgdog
📰 https://news.ycombinator.com/item?id=47123631
Audio
🔊 Wireshark, But Much Easier in Your Terminal
📦 vignesh07/babyshark
Babyshark is a terminal-based tool for exploring network traffic captures (PCAP files) without needing to be a Wireshark expert. It turns raw traffic into a guided, easier-to-read interface with summaries, top hosts and ports, domain-based views, and a “What’s weird?” section that highlights suspicious or broken patterns. It can also watch live traffic when paired with tshark, the command-line part of Wireshark. This helps developers, IT staff, and curious users quickly answer practical questions like what is using the network, what seems slow or broken, and where to investigate next, all from a fast keyboard-friendly interface.
🔗 https://github.com/vignesh07/babyshark
📰 https://news.ycombinator.com/item?id=47128535
📦 vignesh07/babyshark
Babyshark is a terminal-based tool for exploring network traffic captures (PCAP files) without needing to be a Wireshark expert. It turns raw traffic into a guided, easier-to-read interface with summaries, top hosts and ports, domain-based views, and a “What’s weird?” section that highlights suspicious or broken patterns. It can also watch live traffic when paired with tshark, the command-line part of Wireshark. This helps developers, IT staff, and curious users quickly answer practical questions like what is using the network, what seems slow or broken, and where to investigate next, all from a fast keyboard-friendly interface.
🔗 https://github.com/vignesh07/babyshark
📰 https://news.ycombinator.com/item?id=47128535
Audio
🔊 Put a Spending Cap on AI Agents
📦 sahiljagtap08/agentbudget
AgentBudget is an open-source Python tool that helps people set a hard spending limit for AI agent workflows. It watches costs in real time across AI model calls and other paid tool or API requests, then warns you as you near the limit and can automatically stop the session when the budget is used up. This solves a common problem with AI agents: surprise bills caused by loops, repeated calls, or long-running tasks. It is useful because it is simple to add to existing code, works with major AI providers, and gives a clear cost breakdown so teams can use AI more safely and predictably.
🔗 https://github.com/sahiljagtap08/agentbudget
📰 https://news.ycombinator.com/item?id=47133305
📦 sahiljagtap08/agentbudget
AgentBudget is an open-source Python tool that helps people set a hard spending limit for AI agent workflows. It watches costs in real time across AI model calls and other paid tool or API requests, then warns you as you near the limit and can automatically stop the session when the budget is used up. This solves a common problem with AI agents: surprise bills caused by loops, repeated calls, or long-running tasks. It is useful because it is simple to add to existing code, works with major AI providers, and gives a clear cost breakdown so teams can use AI more safely and predictably.
🔗 https://github.com/sahiljagtap08/agentbudget
📰 https://news.ycombinator.com/item?id=47133305
Audio
🔊 Turn Windows Search Into Lightning Search
📦 pinchtodebug/everythingquicksearch
Everything Quick Search is a small Windows app that replaces the normal Start menu search with much faster file and folder search powered by the Everything search engine. It is designed for people who feel Windows search is slow, misses results, or takes too many clicks. After setup, you can search from the Start menu, move through results with simple keyboard shortcuts, switch categories, and open files quickly. This makes everyday tasks like finding downloads, documents, and folders much faster. It is especially useful for users who work with lots of files and want a smoother, faster way to find things.
🔗 https://github.com/PinchToDebug/EverythingQuickSearch
📰 https://news.ycombinator.com/item?id=47133425
📦 pinchtodebug/everythingquicksearch
Everything Quick Search is a small Windows app that replaces the normal Start menu search with much faster file and folder search powered by the Everything search engine. It is designed for people who feel Windows search is slow, misses results, or takes too many clicks. After setup, you can search from the Start menu, move through results with simple keyboard shortcuts, switch categories, and open files quickly. This makes everyday tasks like finding downloads, documents, and folders much faster. It is especially useful for users who work with lots of files and want a smoother, faster way to find things.
🔗 https://github.com/PinchToDebug/EverythingQuickSearch
📰 https://news.ycombinator.com/item?id=47133425
Audio
🔊 ENVeil: Keep Your App Secrets Out of Sight
📦 greatscott/enveil
ENVeil is a command-line tool that protects app secrets (like API keys and database passwords) from being left in plain-text `.env` files, which can be read by AI coding tools or accidentally committed. Instead of storing real values in the project folder, it keeps them in an encrypted local store for each project and puts safe placeholders in `.env`. When you start your app through ENVeil, it asks for your password, unlocks the secrets, and injects them into the app only at runtime. This helps developers reduce secret leaks, keep their normal local workflow, and use coding assistants with less risk.
🔗 https://github.com/GreatScott/enveil
📰 https://news.ycombinator.com/item?id=47133055
📦 greatscott/enveil
ENVeil is a command-line tool that protects app secrets (like API keys and database passwords) from being left in plain-text `.env` files, which can be read by AI coding tools or accidentally committed. Instead of storing real values in the project folder, it keeps them in an encrypted local store for each project and puts safe placeholders in `.env`. When you start your app through ENVeil, it asks for your password, unlocks the secrets, and injects them into the app only at runtime. This helps developers reduce secret leaks, keep their normal local workflow, and use coding assistants with less risk.
🔗 https://github.com/GreatScott/enveil
📰 https://news.ycombinator.com/item?id=47133055
Audio
🔊 Trolley: Turn Online Store Pages Into Usable Data
📦 weedonandscott/trolley
Trolley is an open-source command-line tool for collecting product information from shopping websites and turning it into clean, organized data files. It helps solve the slow, repetitive job of copying product names, prices, and details by hand from many pages. With Trolley, users can run built-in site collectors, save results as CSV spreadsheets, and prepare the data for comparison, tracking, or reporting. It is useful for small businesses, researchers, and anyone monitoring products across stores because it saves time, reduces manual errors, and makes large sets of product listings much easier to work with.
🔗 https://github.com/weedonandscott/trolley
📰 https://news.ycombinator.com/item?id=47133575
📦 weedonandscott/trolley
Trolley is an open-source command-line tool for collecting product information from shopping websites and turning it into clean, organized data files. It helps solve the slow, repetitive job of copying product names, prices, and details by hand from many pages. With Trolley, users can run built-in site collectors, save results as CSV spreadsheets, and prepare the data for comparison, tracking, or reporting. It is useful for small businesses, researchers, and anyone monitoring products across stores because it saves time, reduces manual errors, and makes large sets of product listings much easier to work with.
🔗 https://github.com/weedonandscott/trolley
📰 https://news.ycombinator.com/item?id=47133575
Audio
🔊 Make Scheme Editors Feel Modern
📦 ufo5260987423/scheme-langserver
Scheme-langserver is an open-source tool that adds modern editor help for Scheme, a Lisp-family programming language. It works behind editors such as VS Code and can power features like code completion, jump-to-definition, hover info, references, and symbol search. The main problem it tackles is that many Scheme tools depend on running finished code, which breaks down when a project is incomplete or contains errors. This project instead uses static analysis to understand code structure and local variable scope while you type. That makes editing smoother, helps catch mistakes earlier, and gives Scheme developers a more practical day-to-day programming experience.
🔗 https://github.com/ufo5260987423/scheme-langserver
📰 https://news.ycombinator.com/item?id=47133716
📦 ufo5260987423/scheme-langserver
Scheme-langserver is an open-source tool that adds modern editor help for Scheme, a Lisp-family programming language. It works behind editors such as VS Code and can power features like code completion, jump-to-definition, hover info, references, and symbol search. The main problem it tackles is that many Scheme tools depend on running finished code, which breaks down when a project is incomplete or contains errors. This project instead uses static analysis to understand code structure and local variable scope while you type. That makes editing smoother, helps catch mistakes earlier, and gives Scheme developers a more practical day-to-day programming experience.
🔗 https://github.com/ufo5260987423/scheme-langserver
📰 https://news.ycombinator.com/item?id=47133716
Audio
🔊 One Toolkit for Safer, Scalable Java Apps
📦 pragmaticalabs/pragmatica
Pragmatica is a collection of Java tools and libraries in one repository that helps teams build safer, cleaner, and easier-to-scale software. It includes a core library that reduces common coding problems (such as null-related crashes, error handling issues, and hard-to-manage background work), add-ons for popular Java tools, code quality utilities for formatting and checking rules, and Aether, a runtime for deploying and scaling Java application parts with less infrastructure setup. It solves a common pain point: Java teams often stitch together many separate tools and conventions. Pragmatica bundles them into one ecosystem, which can speed up development and make systems more reliable.
🔗 https://github.com/pragmaticalabs/pragmatica
📰 https://news.ycombinator.com/item?id=47133754
📦 pragmaticalabs/pragmatica
Pragmatica is a collection of Java tools and libraries in one repository that helps teams build safer, cleaner, and easier-to-scale software. It includes a core library that reduces common coding problems (such as null-related crashes, error handling issues, and hard-to-manage background work), add-ons for popular Java tools, code quality utilities for formatting and checking rules, and Aether, a runtime for deploying and scaling Java application parts with less infrastructure setup. It solves a common pain point: Java teams often stitch together many separate tools and conventions. Pragmatica bundles them into one ecosystem, which can speed up development and make systems more reliable.
🔗 https://github.com/pragmaticalabs/pragmatica
📰 https://news.ycombinator.com/item?id=47133754