JournalX (Beta)
The professional trading journal.
JournalX (Beta) launched on August 27, 2025 with 9 votes, #2,165 of 8,530 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
The ultimate trading journal for Stocks, Options, Forex, Futures, & Crypto. JournalX provides powerful analytics to help you find your edge and build a winning strategy.
JournalX is a professional trading journal for serious traders. Log, review, and analyze every trade to build a stronger strategy. Get started today.
Supporting a wide range of leading brokers for a unified experience. Our features are designed to follow your trading lifecycle, helping you make smarter decisions every step of the way. We've built a suite of powerful, intuitive, and lightning-fast features that support every stage of your trading journey, from execution to review. Connect your broker once and let JournalX automatically import your trades. Spend less time on data entry and more time analyzing your performance. Construct complex queries with ease. Drill down into your data like never before to uncover your true edge. Trading across different markets? Track your performance seamlessly in your native currency, giving you a…from journalx.io
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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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I built the world's most impractical 1000-pixel display and anyone in the world can draw on it. It draws a single pixel at a time and takes 30-60 minutes to complete a single image. Anyone can participate in the project by voting for the next image to be drawn, and submitting images. https://kilopx.com/
Work · 2025 · benholmen.com


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…
AI · 2025 · github.com

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Life & fun · 2025 · visualrambling.space

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