健康2 weeks ago
1 Day at a Time — Win today, not perfection
1 Day at a Time——通过日常检查、任务和日记帮助建立健康习惯的AI健身伴侣。
@sdrplk1 · X
Building a fitness app that helps you lose weight by focusing on today, not someday.
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1 Day at a Time——通过日常检查、任务和日记帮助建立健康习惯的AI健身伴侣。
@sdrplk1 · X
Building a fitness app that helps you lose weight by focusing on today, not someday.
使用AI模型生成图像和视频，内置提示词优化器，无水印。
nbpro.io — 一站式 AI 图像与视频生成平台，整合了当前领先的图像与视频生成模型，包括 Nano Banana、Nano Banana Pro、sora2 等。平台内置智能提示词优化器，并提供大量真实可参考的生成案例，帮助用户创作高质量内容，生成的图片和视频均不带水印，适用于多种专业与商业场景
Genesis OS是一款AI副驾驶生态系统,协助您完成生活和工作各方面的任务。
@GenesisAIApps · X
A smart AI copilot ecosystem for life, work, and beyond the stars.
grabdemo：屏幕录制一键转化为AI打磨的交互式演示。
@grabdemo_ · X
Cadence是一个个人工作区,提供看板、日历规划和专注任务流。
@buildappfactory · X
Our three products
Master your on-camera delivery with Teleflow, the best professional teleprompter app for web and mobile. Reliable voice-sync scrolling, autocue tools, and multi-take recording for
@belk_dev · X
Leveraging the Bittensor ecosystem, Vidaio provides scalable, affordable, and high-quality video processing solutions.
@vidaio_ · X
Ai driven, video enhancement!
Toolyzo: 人性化AI文本，检测AI内容，处理PDF文件，无需登录。
@varu_jigar · X
Building Toolyzo — an all-in-one AI productivity hub. ✅ AI Detector ✅ AI Humanizer ✅ PDF Tools ✅ Resume Builder Coming soon: Coding AI Agent AI Image Detector Watermark Remover ...and more. No signup required for most tools. 🌐
通过 AI 反馈进行打字练习，提高速度和准确性。
@AmitGajbhare · X
We build - a modern typing platform that helps people improve typing speed and accuracy with AI-powered practice, real-time feedback, progress tracking
构建自定义的链接页面，支持二维码快速分享。
@socbioapp · X
New feature just shipped 🧦✨ Tap your profile pic on and get an instant QR code to your bio page- perfect for handing someone your link in person. Small feature, big convenience 👇 #LinkInBio #BuildInPublic #IndieHacker #QRCode #Creator
为Claude Code和Codex设计的开源遥控器，支持iOS、Android和网页。
@Ex3NDR · X
Few days ago Happy had a birthday. Tried to refresh one of the most neglected part of it: our Happy Website: also i built a new harness called “rig”. i started to use at work recently instead of codex/claude code and i liked how it does work. i want to share this with everyone. it is a codex and cause code reimplemented using Pi, but keeping native prompts and expanded a little for uniformity (like added workflows to codex yay!). when something new released that is worthy of porting - i ask Sol to mim for prompts or read sources directly and i can have a feature within an hour. why this is needed? i was constantly blocked by the needing of integrating a lot of models together, which each has their own harness or many doesn’t have any, but i didn’t want to go too far from native and don’t like the idea of extensions - i want experience to be the same everywhere. i think configuration > extensions. more soon
