社交社区1 month ago
CollabSpree — Creator Collaboration Platform
创作者协作平台，建立作品集并发现品牌合作机会。
@md_fuad_ahmed · X
CollabSpree built for Sponsorship portfolio. Use CollabSpree portfolio to get brand deals
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创作者协作平台，建立作品集并发现品牌合作机会。
@md_fuad_ahmed · X
CollabSpree built for Sponsorship portfolio. Use CollabSpree portfolio to get brand deals
将 Markdown 转换为视觉知识卡片，支持 30+ 主题和多格式导出。
md2card — MD2Card 在线工具，支持多主题，一键将 Markdown 拆分并生成知识卡片，支持 AI 魔幻卡片和长文智能拆分功能，可编辑，可导出 PNG/SVG/PDF，适合笔记分享与社媒传播
通过交互式可视化学习数据结构和算法，准备技术面试。
@aarsh_30 · X
Avnac 是一个开源设计工具，可在浏览器中创建图形。
@akinkunmi · X
He trash-talked me and my amazing project ( unprovoked while all his projects are vibe-coded slop. That's why I named him King of Slop.
Curo - Your AI-powered Learning Companion
@_srvsi_ · X
Make internet's fragmented and unstructured knowledge/content into personalised learning experience.
在一个安全的地方保存和整理家庭回忆、照片、语音和家族系谱。
@F_a_m_r_e_c · X
Hey! 👋 We're building Famrec—a platform that helps families preserve memories, stories, voice recordings, photos, and family history in one secure place for future generations.
charts.art 用实时交易所数据呈现的 3D 加密货币市场可视化。
@zacxbt · X
my current apps: • j******** (redacted) • @irigenerative (my first nft) • non-crypto saas app • penis game • blockrunner (my endless runner iOS app posted a vid a week ago) • petwidge (per iOS app) • nftwidge (nft gallery iOS app) • (pretty charts) • @perpspet (3d gamified perps) • (gamified bridge) • crypto twitter social app (don’t want to spoil the details) • portfolio pet game where the character is your portfolio, you feed him coins and he grows/evolves • (first app i ever vibe coded in dec) • onchain jam (nba jam 2v2 game but each team is a chain ex: base team = brian + jesse) • waffle world (3d waffle platformer lol) - 3d social trenches game
从文本或照片生成AI图像和视频，基于开源模型，完全免费。
@GayatriYaligar · X
Check out what I just built with Lovable!
MomentSift: 用AI筛选、增强和生成照片。
ansheng_hu · Product Hunt
MomentSift Cull, enhance, and create better photos with AI
Flint是为AI代理设计的可视化语言,用于创建交互式数据可视化。
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
