Lc

Lcdp.ai v0.29.0 – An AI-powered low-code platform for rapid development

Hacker News

Lcdp.ai v0.29.0 – An AI-powered low-code platform for rapid development

Show HN: LCDP.ai v0.29.0 - An AI-powered low-code platform for rapid development Hello HN community, We're excited to share the latest version of LCDP.ai, our open-source, AI-enhanced low-code development platform. With v0.29.0, we've made significant strides in improving developer productivity and application performance. Key features: 1. Ant Design 5 integration: Modernized UI components for a sleeker, more responsive interface. 2. Enhanced data visualization: New line and table charts, plus improved dashboard widgets. 3. Claude.ai API support: Leverage advanced AI capabilities in your applications. 4. Performance optimizations: Improved async task handling for better scalability. 5. Arm64 architecture support: Run on Apple Silicon and other ARM-based systems efficiently. We've also added features like custom ordering for subtables, comments on domain class fields, and anonymous invocations for dynamic services. These additions aim to provide developers with more flexibility and control over their projects. Our goal with LCDP.ai is to bridge the gap between traditional coding and no-code platforms, offering a middle ground that combines the best of both worlds. We believe that by providing powerful low-code tools enhanced by AI, we can significantly reduce development time without sacrificing customization or scalability. We'd love to hear your thoughts, feedback, or questions about LCDP.ai. Have you used low-code platforms before? What has been your experience? How do you see AI integration changing the landscape of software development? Try it out: https://lcdp.ai Documentation: https://docs.lcdp.ai Thank you for your time and interest!

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Indie HackersFits the IH revenue-focused audience · Strong signals: efficiently · Missing: supports, reddit linkedin, podcasting
93%93% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: claude, apple, new · Missing: mac, agents, macos
87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: plus, platform, interface · Missing: intuitive, reviews, host
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: widgets · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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