<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: ppaanngggg</title><link>https://news.ycombinator.com/user?id=ppaanngggg</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Wed, 19 Aug 2026 18:10:21 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=ppaanngggg" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by ppaanngggg in "I built my own non-subscription Lovart – design0.ai"]]></title><description><![CDATA[
<p>Hello everyone,<p>I ran into a common pain point while looking for specific design resources for my new website: I needed a variety of posters, Twitter Open Graph images, and website illustrations, but the existing solutions often fell short of my needs:
1. Overly Complex UI: I found many tools too complex to use; I dislike dragging and dropping elements on an infinite canvas when all I need is a quick result.
2. The Subscription Pain: Many of the existing high-quality tools require a subscription. For a side project, I really dislike the idea of paying a continuous monthly fee for occasional or very specific usage.<p>This issue made me realize: I needed a simple, efficient, and non-subscription-based tool. So, I decided to build one myself. This past month, I built and released the first official version of design0.ai.<p>The Core Problem design0.ai Aims to Solve:
1. Extreme Simplicity: The operation is extremely simple, and can even be completed smoothly on a mobile phone, allowing you to focus on content, not dragging design elements.
2. A New Payment Model: Focusing on a pay-as-you-go or a freemium model to completely eliminate mandatory monthly subscriptions. You only pay for the designs you actually use.<p>I'm currently collecting feedback to see if this can help other community members facing similar frustrations.<p>Please try it out and let me know your thoughts: <a href="https://design0.ai" rel="nofollow">https://design0.ai</a></p>
]]></description><pubDate>Mon, 03 Nov 2025 02:47:18 +0000</pubDate><link>https://news.ycombinator.com/item?id=45795404</link><dc:creator>ppaanngggg</dc:creator><comments>https://news.ycombinator.com/item?id=45795404</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45795404</guid></item><item><title><![CDATA[I built my own non-subscription Lovart – design0.ai]]></title><description><![CDATA[
<p>Article URL: <a href="https://design0.ai">https://design0.ai</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=45795403">https://news.ycombinator.com/item?id=45795403</a></p>
<p>Points: 2</p>
<p># Comments: 1</p>
]]></description><pubDate>Mon, 03 Nov 2025 02:47:18 +0000</pubDate><link>https://design0.ai</link><dc:creator>ppaanngggg</dc:creator><comments>https://news.ycombinator.com/item?id=45795403</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45795403</guid></item><item><title><![CDATA[Next-Generation Stock News Forecaster by LLM]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/prostockwise/stockwise-news-api">https://github.com/prostockwise/stockwise-news-api</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41971399">https://news.ycombinator.com/item?id=41971399</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 28 Oct 2024 14:31:13 +0000</pubDate><link>https://github.com/prostockwise/stockwise-news-api</link><dc:creator>ppaanngggg</dc:creator><comments>https://news.ycombinator.com/item?id=41971399</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41971399</guid></item><item><title><![CDATA[New comment by ppaanngggg in "Elasticsearch is open source, again"]]></title><description><![CDATA[
<p>But es has fallen behind in vector search</p>
]]></description><pubDate>Fri, 30 Aug 2024 02:12:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=41397190</link><dc:creator>ppaanngggg</dc:creator><comments>https://news.ycombinator.com/item?id=41397190</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41397190</guid></item><item><title><![CDATA[SmartStockScreener – Discover Your Next Investment Opportunity]]></title><description><![CDATA[
<p>Article URL: <a href="https://poe.com/SmartStockScreener">https://poe.com/SmartStockScreener</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41264956">https://news.ycombinator.com/item?id=41264956</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 16 Aug 2024 10:13:33 +0000</pubDate><link>https://poe.com/SmartStockScreener</link><dc:creator>ppaanngggg</dc:creator><comments>https://news.ycombinator.com/item?id=41264956</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41264956</guid></item><item><title><![CDATA[New comment by ppaanngggg in "YOLO models trained on DocLayNet, support document analytic intelligency"]]></title><description><![CDATA[
<p>Sorry, I use Ultralytics to train the models. I think I can only use AGPLv3.<p>You can use my docker image and keep your business codes closed.</p>
]]></description><pubDate>Tue, 06 Aug 2024 03:38:31 +0000</pubDate><link>https://news.ycombinator.com/item?id=41167585</link><dc:creator>ppaanngggg</dc:creator><comments>https://news.ycombinator.com/item?id=41167585</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41167585</guid></item><item><title><![CDATA[YOLO models trained on DocLayNet, support document analytic intelligency]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/ppaanngggg/yolo-doclaynet">https://github.com/ppaanngggg/yolo-doclaynet</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41167496">https://news.ycombinator.com/item?id=41167496</a></p>
<p>Points: 4</p>
<p># Comments: 2</p>
]]></description><pubDate>Tue, 06 Aug 2024 03:13:10 +0000</pubDate><link>https://github.com/ppaanngggg/yolo-doclaynet</link><dc:creator>ppaanngggg</dc:creator><comments>https://news.ycombinator.com/item?id=41167496</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41167496</guid></item><item><title><![CDATA[Unoffical finviz API server to fetch screener, support Elite Login]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/ppaanngggg/finviz-proxy">https://github.com/ppaanngggg/finviz-proxy</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41167478">https://news.ycombinator.com/item?id=41167478</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 06 Aug 2024 03:08:14 +0000</pubDate><link>https://github.com/ppaanngggg/finviz-proxy</link><dc:creator>ppaanngggg</dc:creator><comments>https://news.ycombinator.com/item?id=41167478</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41167478</guid></item><item><title><![CDATA[Introduction to AIMathSolver]]></title><description><![CDATA[
<p>Article URL: <a href="https://www.aimathsolve.com/blogs/introduction-to-aimathsolver">https://www.aimathsolve.com/blogs/introduction-to-aimathsolver</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=41158946">https://news.ycombinator.com/item?id=41158946</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 05 Aug 2024 07:40:36 +0000</pubDate><link>https://www.aimathsolve.com/blogs/introduction-to-aimathsolver</link><dc:creator>ppaanngggg</dc:creator><comments>https://news.ycombinator.com/item?id=41158946</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41158946</guid></item></channel></rss>