
TitleGenius: AI Title Generator
Turn your shorts into captivating titles for viral impact
What it does
TitleGenius helps creators analyze videos to generate captivating titles that make Shorts stand out. Unleash the genius within your content today and watch your Shorts go viral like never before!
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CapGen Social Media AI Caption Generator2023 · ▲109Automatically generate social media image captions using AI

TitleMaster AI - Title Generator2024 · ▲5Instantly create viral headlines for marketers, effectively!

- GCGenerate captions for your short videos with Viral AI Shorts2024 · viral.vadoo.tv · ▲6
Get ready to elevate your Shorts and Reels to the next level with Viral AI shorts. We have combined the power of AI with creativity to bring you a tool designed specifically for content creation, influencers, and brands who wnats to make their shorts video videos stand out in the crowd. What's in the Box? AI Captions: Say goodbye to tedious typing. Our AI captions are not only lightning-fast but also hyper-accurate, capturing the essence of your videos perfectly. Templates: With a library of stylish and customizable templates, you can effortlessly add the perfect finishing touches to your…
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Source: Product Hunt launch ↗
Launched alongside, August 2023
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Lottielab▲871Create and ship lottie animations to sites and apps faster
Dev tools · 2023 · lottielab.com
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Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
AI · 2023 · github.com