Alternatives
Products that do what CodingBugLabs does
Instant AI: Images, Music & Voices
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Hello HN, I don't post on here much, but wanted to get some eyes on a new project I'm just launching. I think we definitely need one more AI code agent.. I'm a long-term C++ dev, and over 30+ years I've created some successful audio dev tools (JUCE, the Tracktion DAW, the Cmajor DSP language). All of these came from me getting annoyed with something I had to use, and deciding to have a go at my own take on whatever it was. So Juggler is my attempt at an AI code agent, after spending too many hours loving what the models could do, but hating the CLI experience, and having some opinions of…
Jul 2026 · github.com
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The AI creative platform to bring your content to life
Mar 2026 · elevenlabs.io
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Hi all, I've spent some time working on music demixing or music source separation algorithms, which take in a mixed song and output estimates of isolated components (e.g. vocals, drums, bass, other). I took a popular PyTorch model with good performance (Open-Unmix, UMX-L weights), reimplemented the inference steps in C++, and compiled it to WebAssembly for a free client-side music demixer.
2023 · sevag.xyz
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Jan 2026 · github.com
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I had 2 weeks off from work and wanted a pet project before heading back. With GPT and Generative AI in the news, I decided to chain multiple Al products together to build something really cool. I set my end goal to be: prompt-to-storyboard (aka fun videos generated purely via generative AI). There exists some prompt-to-video products, but I wanted to tell stories with audio as well. The end product takes an initial prompt and produces a series of images and audio files, which I then combine (with subtitles) into the final video. To showcase videos, there is a basic upvote/downvote…
2023 · meyer.id
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25+ AI tools for images, videos, speech, music & chats
Oct 2025
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I’m a former Systems Architect (Cisco/VMware) turned builder in Thailand. TheAuditor v2.0 is a complete architectural rewrite (800+ commits) of the prototype I posted three months ago. The "A-ha" moment for me didn't come from a success; it came from a massive failure. I was trying to use AI to refactor a complex schema change (a foundation change from "Products" to "ProductsVariants"), and due to the scope of it, it failed spectacularly. I realized two things: * Context Collapse: The AI couldn't keep enough files in its context window to understand the full scope of the refactor, so it…
Dec 2025 · github.com
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