Show HN: VoidDB –A transactional key-value DB written in Go for 64-bit Macintosh https://ift.tt/uSDdOWh

Show HN: VoidDB –A transactional key-value DB written in Go for 64-bit Macintosh https://ift.tt/m01iePD February 1, 2025 at 08:33AM

Show HN: Simple to build MCP servers that easily connect with custom LLM calls https://ift.tt/VyQIvhk

Show HN: Simple to build MCP servers that easily connect with custom LLM calls Hi! After learning about MCP, I'm really excited about the future of provider-agnostic, re-usable tooling. Unfortunately I've found that while it's easy to implement an MCP server for use with tools that support it (such as Claude Desktop), it's not as easy to implement your own support (such as integrating an MCP server into your own LLM application). We implemented a thin MCP wrapper that easily integrates with Mirascope calls so that you can hook up an MCP server and client super easily to any supported LLM provider. Excited to see what people build with this! https://ift.tt/1r3gYVI February 1, 2025 at 04:50AM

Show HN: Lua-libuv – A Lua with libuv experiments https://ift.tt/PL1C4W6

Show HN: Lua-libuv – A Lua with libuv experiments https://ift.tt/3inszZA January 28, 2025 at 04:29AM

Show HN: Ahey – A simple pub-sub service built on top of web push https://ift.tt/WykK5ui

Show HN: Ahey – A simple pub-sub service built on top of web push https://ahey.io January 31, 2025 at 03:39AM

Show HN: Hyper-Emotional AI Voice Acting for Anime and Movies https://ift.tt/qsK9ial

Show HN: Hyper-Emotional AI Voice Acting for Anime and Movies Hi HN, I’m using AI video generation to create anime and movies, but AI dubbing has been a major challenge. Most AI voices sound too flat and lack the emotional depth needed for voice acting, where dramatic expression is very important. That’s why I’m building this voice acting AI that lets you not only choose a voice but also control its emotion. In the Auto Emotion mode, you can include emotion hints in parenthesis to guide the speech generation. It’s still an early demo, but I’d love for you to try it out and share your feedback! https://ift.tt/gOxfBJv January 31, 2025 at 01:18AM

Show HN: Workflow86 - An AI business analyst and automation engineer https://ift.tt/Znyieh5

Show HN: Workflow86 - An AI business analyst and automation engineer Hey HN, We built Workflow86 to help teams build and automate their internal business processes and workflows using drag and drop components like forms, tasks, tables and nodes for business logic, API requests, running custom code etc. It works as a standalone process/workflow automation tool, or as a workflow customization layer on top of existing apps and systems like HRIS, CRM and ERP. One common problem we hear from users is that no-code still has a significant learning curve, and it can take some time to understand how to properly build something. Users also needed help with knowing what to build in the first place, or what a process might or should look like. To solve this, we've integrated an AI that acts as a business analyst/consultant and workflow automation engineer. This AI is powered by a combination of Large Language Models and lots of prompt engineering, RAG and prompt chaining techniques we developed along the way. See a demo of it in action here: https://ift.tt/Mt0Pmg5?... In business analyst/consultant mode, the AI helps users brainstorm ideas, identify and discover processes and draft what a process should look like. Like a business analyst/consultant, the AI works to pull and extract information and details from the user by asking the right questions rather than rely on the user's instructions alone. Once the required information has been gathered, the AI goes into engineer mode: it will plan and then build the entire workflow by selecting the right nodes, connecting them together and then fully configuring every single node individually as well. This includes writing custom code and API requests using stored credentials when required. Once a workflow is built, edits can be done manually or by asking the AI to adjust the workflow at any time (e.g., “Add a compensation band check before final approval”). The AI has full context of the current state of the workflow, so it can “patch” in any changes like adding new nodes, rewriting existing nodes and so on. Some use cases we’ve seen from customers include building: - automated compliance checks for new CRM leads - custom international contractor onboarding workflows on top of a HRIS - automated vendor risk assessment before ERP updates Try it out and let us know how the AI performs and any other feedback you have! Full docs can be found at https://ift.tt/iXu0Z6w https://ift.tt/pWI8F1Z January 30, 2025 at 09:05PM

Show HN: Reactive Signals for Python – inspired by Angular's reactivity model https://ift.tt/VXcLFkZ

Show HN: Reactive Signals for Python – inspired by Angular's reactivity model Hey everyone, I built reaktiv, a small reactive signals library for Python, inspired by Angular’s reactivity model. It lets you define Signals, Computed Values, and Effects that automatically track dependencies and update efficiently. The main focus is async-first reactivity without external dependencies. Here is an example code: ``` import asyncio from reaktiv import Signal, ComputeSignal, Effect async def main(): count = Signal(0) doubled = ComputeSignal(lambda: count.get() * 2) async def log_count(): print(f"Count: {count.get()}, Doubled: {doubled.get()}") Effect(log_count).schedule() count.set(5) # Triggers: "Count: 5, Doubled: 10" await asyncio.sleep(0) # Allow effects to process asyncio.run(main()) ``` https://ift.tt/n1AvQaN January 30, 2025 at 10:56PM