TweetCloner
Clone Any Tweet. Remix. Republish TweetCloner is a creative tool for the X /Twitter. With TweetCloner, you can quickly clone any tweet, translate or add your own spin, and publish original content without starting from scratch. The idea came from a simple pain point: sometimes you see a great tweet and think, “I wish I could write something like that — but in my own voice.”
TweetCloner launched on August 18, 2025 with 6 votes. The site was still online in September 2026, 1 year on.
What it does
TweetCloner is an AI X tweet generator and Twitter thread remixer that lets you clone formats, translate content, and republish fast. It also works as a hot tweet aggregator to surface trending and viral tweets for instant inspiration.
The ultimate Twitter video downloader to download a video from a tweet in 1080p, 720p, or MP4. Save your favorite clips with our fast Twitter GIF downloader and enjoy unlimited Twitter download with no registration.
The fastest and most reliable Twitter video downloader to download a video from a tweet or save animations with our Twitter GIF downloader. Enjoy high-speed Twitter download in 1080p, 720p, and MP4 formats for free. Just paste the tweet URL to initiate high-speed Twitter download and extract videos or GIFs in seconds. Our Twitter video downloader preserves source quality up to 1080p Full HD with original video bitrates. Effortlessly download Twitter GIFs converted to lightweight MP4 clips with our specialized Twitter GIF downloader. Download a video from a tweet on iPhone, Android, iPad, Mac, Windows, and Linux without installing software. Enjoy safe Twitter download with no user tracking,…from tweetcloner.com
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wallhop is a free paywall bypass. Paste any article link to read it without paywall popups, ads or clutter. No signup, no extension. A simple 12ft.io alternative.
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Source: Product Hunt launch ↗
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Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…
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