Show HN: Temp.now – A free temporary disposable email generator https://ift.tt/wxTlom0

Show HN: Temp.now – A free temporary disposable email generator Yesterday I registered the domain temp.now. Today, I deployed a temporary email tool using open-source code, which is convenient for registering products and services. As long as you save the login credentials, you can keep the generated addresses indefinitely. Enjoy! EN URL: https://temp.now/en/ https://temp.now October 3, 2024 at 01:55AM

Show HN: My Voice AI interviews you, then writes your LI / X posts https://ift.tt/b2VPQGi

Show HN: My Voice AI interviews you, then writes your LI / X posts I'm Tom, the cofounder of Canonical AI. I build a Voice AI agent that interviews you, then writes LinkedIn and X posts based on the interview. ### Why did I build this? 1. LinkedIn and X are b2b lead goldmines. But generating content is hard. You have to figure out what to say. If you're like me, you have trouble coming up with social post ideas when staring at a blank screen. But interesting ideas arrive when I step away from my laptop and talk to people. Also, it's hard to compose the content in a way that appeases the platform algorithms. 2. I want to dogfood my product. We’re building Mixpanel for Voice AI Agents ( https://ift.tt/R96ZPv2 ). We map the caller journeys. We provide audio metrics like latency and interruptions. We show Voice AI devs why and when their agents are failing. I want a Voice AI agent so I can be a user of my Voice AI analytics product. 3. Voice AI will eat the world! This project is essentially a Voice UI for a social media content generation platform. We’re seeing more and more Voice AI interfaces like this (e.g., NotebookLM converts any content into a podcast), and many more use cases for Voice AI agents. ### How did I build this? I built the Voice AI agent using Vapi ( https://vapi.ai/ ). Vapi is amazing! It’s by far the best end-to-end Voice AI platform out there. I actually had to add latency to the Voice AI. I am a slow thinker / talker and it was unrealistic that _my_ Voice AI clone would respond at normal human intervals. I cloned my voice using PlayHT ( https://play.ht/ ). Yes, my voice really is that airy. I wish I could say it’s an issue with PlayHT’s voice cloning, but it’s spot on. The hardest part has been making the social posts feel like they weren't written by an LLM. I initially was using 4o-mini, but they definitely felt written by...well...GPT. I broke the steps into smaller pieces, making one LLM call that extracts the key insights and quotes and another LLM call that generates the content. That helped, but the social posts still felt LLMy. Then I switched to using Claude. That made a big difference. I love Claude. I use Claude so much I'm not sure where I end and Claude begins. I'd love to hear suggestions from the community on how to make the LLM-generated content feel less, as a friend of mine said, boring AF. ### Example Output LinkedIn: Did you know that most Voice AI agent developers are still manually listening to call recordings? It's a time-consuming and ineffective approach to knowing what your agent is doing. It's like drinking from a fire hose. At Canonical AI, we’re changing that by providing Voice AI developers with caller journey maps, audio metrics, and conversation analytics. X: Voice AI developers are currently flying blind. At Canonical AI, we're changing that by building Mixpanel for Voice AI agents. You can see more on my recent posts on my LinkedIn ( https://ift.tt/QRz9xe6 ) and Twitter ( https://ift.tt/erBJS2E ). ### Try it out! Here's the number: +15302038359 October 3, 2024 at 02:38AM

Show HN: Hexabot, Open-source AI Chatbot/Agent Tool https://ift.tt/hszJv0H

Show HN: Hexabot, Open-source AI Chatbot/Agent Tool Why Hexabot? - Fully open source (AGPLv3) - Easy-to-use interface - Multilingual and multi-channel support - Seamless integration with existing workflows and Text-to-Action Join the growing community of developers and businesses around the world building with Hexabot! Check it out: https://ift.tt/X2m7VQF https://ift.tt/ZW0I38h October 3, 2024 at 01:32AM

Show HN: Kameo – a Rust library for building fault-tolerant, async actors https://ift.tt/X0I9ESt

Show HN: Kameo – a Rust library for building fault-tolerant, async actors Hi HN, I’m excited to share Kameo, a lightweight Rust library that helps you build fault-tolerant, distributed, and asynchronous actors. If you're working on distributed systems, microservices, or real-time applications, Kameo offers a simple yet powerful API for handling concurrency, panic recovery, and remote messaging between nodes. Key Features: - Async Rust: Each actor runs as a separate Tokio task, making concurrency management simple. - Remote Messaging: Seamlessly send messages to actors across different nodes. - Supervision and Fault Tolerance: Create self-healing systems with actor hierarchies. - Backpressure Support: Supports bounded and unbounded mpsc messaging. I built Kameo because I wanted a more intuitive, scalable solution for distributed Rust applications. I’d love feedback from the HN community and contributions from anyone interested in Rust and actor-based systems. Check out the project on GitHub: https://ift.tt/txQVjkP Looking forward to hearing your thoughts! https://ift.tt/txQVjkP October 2, 2024 at 11:52PM

Show HN: TextSnap – Open-Source Tool for Accurate Text Formatting Using AI https://ift.tt/oV3XOf5

Show HN: TextSnap – Open-Source Tool for Accurate Text Formatting Using AI After months of trial and error to format our texts quickly and accurately, we have arrived at this version of Text Snap. We've open-sourced it and launched TextSnap. All the code is open, including the prompts for each of the formats… each prompt is very well crafted, as this is the result of months of trial and error. Feel free to clone it or self-host it, or use it for commercial purposes. Check out the repository ( https://ift.tt/W7cghn1 ) Looking forwards for your feedback. https://ift.tt/DhoX9di October 2, 2024 at 05:00AM

Show HN: Overpay mortgage or invest? I built a calculator to help you decide https://ift.tt/DdatZ3r

Show HN: Overpay mortgage or invest? I built a calculator to help you decide Hey. I built a loan (mortgage) calculator that lets you compare the savings from overpaying your loan with the potential profits from investing those extra funds. It will help you answer a key question: is it smarter to overpay your mortgage or invest the extra money? See the hard data and make smarter financial choices! The comparison is simple: 1. Both the overpayer and the investor have the same mortgage. 2. They both spend the same amount monthly. 3. The overpayer overpays the mortgage installments. 4. The investor puts that extra money into investments. Who comes out ahead after the mortgage is paid off? Who has more $$? See the comparison at https://showloan.info https://showloan.info/ October 2, 2024 at 01:11AM

Show HN: Web Scraping with Your Web Browser: Why Not? https://ift.tt/wo4rXHJ

Show HN: Web Scraping with Your Web Browser: Why Not? Includes working code. First article in a planned series. https://ift.tt/4ZgIw5s October 1, 2024 at 11:25PM

Show HN: Instead of opentowork on LinkedIn, I'm desperate cos it's true https://ift.tt/vTSMoZ9

Show HN: Instead of opentowork on LinkedIn, I'm desperate cos it's true Just made a random fun tool over at LinkedIn, but why should they have all the fun https://ift.tt/zdUu3ln October 1, 2024 at 04:27AM

Show HN: qrframe – generate beautiful qr codes with javascript code https://ift.tt/EOPNQeL

Show HN: qrframe – generate beautiful qr codes with javascript code I originally built a QR code generator as a resume project using Rust and I realized a web interface would make customization way easier. This still generates the "data" using that rust library via wasm, but the rendering is all editable javascript to make an SVG or paint on an HTML canvas. I was especially inspired by https://qrbtf.com which had some unique style options I had never seen before, which I ended up copying, and then I made some more. https://ift.tt/vol8nki October 1, 2024 at 01:50AM

Show HN: NewTabTodo Firefox Extension replaces your new tab with todo-list https://ift.tt/j8JmA9f

Show HN: NewTabTodo Firefox Extension replaces your new tab with todo-list Hello HN, As an avid Firefox user, I have built a simple extension that replaces your new tab with a to-do list. You can add or delete your to-dos without leaving your browser. I felt that an extension like this didn't exist for Firefox, so I decided to build it myself. It features a minimal and clean UI. I am open to feedback Link to code: https://ift.tt/h3TD1jo https://ift.tt/Yp9sG8X October 1, 2024 at 01:25AM

Show HN: I Built a Multimodel AI Chatbot to Avoid Having FOMO on the Best Models https://ift.tt/iE5J23q

Show HN: I Built a Multimodel AI Chatbot to Avoid Having FOMO on the Best Models Hi HN, I built ChatOne while working on a project and constantly switching between AI models like GPT-4 and newer ones like Claude 3.5. I kept wondering if I was missing out on better answers, so I created ChatOne to get responses from multiple models at once and compare them easily. -Teddy https://chatone.io September 29, 2024 at 09:38PM

Show HN: An all in one content editor for email, push and SMS https://ift.tt/30GhxwH

Show HN: An all in one content editor for email, push and SMS Hi all, I am trying to get some feedback on a product we are planning to launch next week. blocfree.com We initially (me and my co-founder) came from Uber where we built their growth marketing stack and trying to bring a unified growth stack that teams can use across both marketing and eng. Our goal is enable a unified content editor to manage templates across various channels and then eventually export them to sendgrid, mailgun, mailchimp etc... Also in our thinking is to expose those templates as API's so engineering can reference those templates in their code. Love to hear everyone's feedback is that something useful? Is template API something you would actually use? https://ift.tt/2lA3IL8 September 29, 2024 at 02:24AM

Show HN: RelayBeam – A new way of messaging using Ports https://ift.tt/k6x97fw

Show HN: RelayBeam – A new way of messaging using Ports Hi HN! I am developing RelayBeam, to overcome the challenges faced by existing messaging platforms. I've introduced Ports based feature for contextual communication. It organizes conversations based on context through the user-defined ports. I've explained in detail about it with some examples at https://ift.tt/D8JFlI2 Do try and suggest any more features you'd like to use! https://ift.tt/D8JFlI2 September 28, 2024 at 06:11PM

Show HN: DecisionBox – Continuous Accuracy Improvement for LLM Apps https://ift.tt/oUPGEpF

Show HN: DecisionBox – Continuous Accuracy Improvement for LLM Apps Just released DecisionBox, an open-source SDK that helps developers make high-accuracy decisions in LLM apps, which continuously improve with more data. DecisionBox tackles the challenge of maintaining decision accuracy beyond the limitations of prompt engineering. It streamlines the data science process with an easy-to-use API and enables ongoing accuracy metrics and model improvements. Get started: https://ift.tt/4U8k0Pt We’re excited to hear feedback and answer any questions! AMA. https://ift.tt/4U8k0Pt September 28, 2024 at 12:27AM

Show HN: A tool that turns everyday computers into your own AI cloud https://ift.tt/Lg5WqPi

Show HN: A tool that turns everyday computers into your own AI cloud I have a favour to ask. I’ve been working for a while on Kalavai, a project to make distributed AI easy. There are brilliant tools out there to help AI hobbyists and devs on the software layer (shout out to vLLM and llamacpp amongst many others!) but it’s a jungle out there when it comes to procuring and managing the necessary hardware resources and orchestrating them. This has always led me to compromise on the size of the models I end up using (quantized versions, smaller models) to save cost or to play within the limits of my rig. Today I am happy to share the first public version of our Kalavai client (totally free, forever), a CLI that helps you build an AI cluster from your everyday devices. Our first use case is distributed LLM deployment, and we hope to expand this with the help of the community. Now, the favour! I’d love for people interested in AI at scale (bigger than a single machine) to give it a go and provide honest feedback. Do you share our motivation? If you tried Kalavai, did you find it useful? What would you like it to do for you? What are your painpoints when it comes to using large LLMs? https://ift.tt/HLeiy4r September 27, 2024 at 11:42PM

Show HN: Ultra-realistic AI images at $9 for 500 images https://ift.tt/rLXTPFa

Show HN: Ultra-realistic AI images at $9 for 500 images https://ift.tt/0MYkVda September 28, 2024 at 03:33AM

Show HN: Structured, GitHub App for Automated DBT PR Reviews https://ift.tt/DVJUfi1

Show HN: Structured, GitHub App for Automated DBT PR Reviews Scaling data teams today means dealing with the complexity of the modern data stack. While DBT has become a core tool for transforming raw data into structured, analytics-ready tables, most teams are using it in ways that lead to chaos: duplicated models, inconsistent metrics, and inefficient SQL that directly impacts cloud spend. The real issue isn’t with DBT itself—it’s in how it’s applied across teams. Here’s the typical setup: Finance defines a revenue model, Marketing calculates customer lifetime value, and Product defines churn. All in DBT, but all with slightly different logic, leading to metric fragmentation. This results in data drift, conflicting reports, and a ton of unnecessary engineering time spent reconciling definitions. Worse, engineers end up re-inventing the wheel by duplicating logic that already exists in other models. The inefficiencies don’t stop there: suboptimal SQL patterns (e.g., full-table scans, poor joins) creep into production and drive up cloud costs. We designed our GitHub App to automate the grunt work of DBT model management, focusing on three key areas: preventing redundant logic, maintaining the semantic layer, and optimizing SQL performance. --- (1) Stop Redundant Models: A lot of teams waste time rebuilding models that already exist. Engineers aren’t aware of what’s been built, so they duplicate work. Our app automatically reviews pull requests, flags redundant models, and suggests reusing existing logic. This keeps your key metrics like revenue or churn consistent across teams and prevents conflicting reports. (2) Maintain the Semantic Layer: DBT’s value is in creating a semantic layer—a consistent definition of business metrics. But as teams scale, maintaining this layer gets tricky. People unknowingly break it with small changes, leading to inconsistencies. Our app checks every new model for deviations from the semantic layer, flagging inconsistencies before they go live. This prevents those all-too-common situations where two departments are debating whose revenue number is right. By ensuring everyone’s using the same definitions, you avoid trust issues with the data. (3) SQL Performance = Real Costs: Bad SQL isn’t just a performance problem—it’s a cost problem. Inefficient joins, full-table scans, and poorly written SQL in your DBT models can blow up your cloud bill. Our app reviews SQL in pull requests, flags inefficiencies, and suggests optimizations. Example: An engineer submits a model that joins two large tables without filtering. Our app flags the full-table scan and suggests using indexed columns and adding WHERE filters. This reduces query cost and improves performance before the code hits production. --- Data engineers are already stretched thin with the demands of modern data pipelines. By automating model consistency checks, semantic layer enforcement, and SQL performance reviews, our GitHub App frees up your team to focus on higher-impact work rather than wasting cycles on repetitive tasks or fighting fires caused by bad data logic. The app is live—give it a try, and let us know how it’s improving your workflow. Also, keep an eye out for our upcoming DBT code generation features—we’re automating more of the heavy lifting soon. https://ift.tt/kQ7M6jc September 27, 2024 at 02:58AM

Show HN NGINIX Manager https://ift.tt/EK39Rfv

Show HN NGINIX Manager A simple NGINX manager https://ift.tt/su6A9F0 September 27, 2024 at 01:39AM

Show HN: Is Fair Source Cool Yet? https://ift.tt/HLtG6hK

Show HN: Is Fair Source Cool Yet? https://fss.cool September 27, 2024 at 03:04AM

Show HN: FastIndex, an open-source search engine indexation tool https://ift.tt/G4fuvg2

Show HN: FastIndex, an open-source search engine indexation tool There's a lot of paid search engine indexation tools out there and I wanted to create my own. Been working as an engineer for over a decade now and my open-source contribution has always been something I wanted to do. Thus I decided to create FastIndex, an open-source search engine indexation alternative to paid solutions such as TagParrot, URLMonitor, Omega Indexer and many more. Source: https://ift.tt/YOKSzJ1 Wiki: https://ift.tt/OnsSmqa https://ift.tt/YOKSzJ1 September 26, 2024 at 06:46AM