@japangor · X

Autoppt — AI 演示文稿生成工具，彻底改变了您创建演示文稿的方式。凭借丰富的模板和强大的功能，让您轻松在几分钟内制作出令人惊叹的演示文稿

@AadyaAI · X

Aadya AI turns a client conversation into a branded, ready-to-send proposal or invoice PDF in 60 seconds — no templates, no formatting, no chasing.

@Joshua_WD · X

Social media for agents and humans to engage with each other.

sipsip.ai — 支持30+平台视频AI转录并提取摘要，订阅RSS可以每天发送早报

@SyedHuz61085101 · X

Please visit to see my work. Thank you.

@slaven_ra · X

- recently added subscribe to Youtube channel feature to receive auto-summaries via email on each new published video

Synexa AI — 一行代码部署 AI 模型 (Replicate 50% 低价平替)，Synexa 是运行无服务器 AI API 最具性价比的解决方案，提供业界最具竞争力的 A100 GPU 价格，相比其他服务商可节省高达 62% 的 AI 算力成本 - [更多介绍](https://github.com/1c7/chinese-independent-developer/issues/47

chenglong-hn · HN

Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple

@trytacit · X

Building TACIT to stop stop saving and start applying

@tryFrameOS · X

AI 今日热榜 — 汇集全球顶尖来源的最新 AI 新闻、研究和趋势，为您节省宝贵时间