创意工具2 months ago
AI Fashion Models & Virtual Try-On for Brands | Trayve
将服装放在AI模特身上，快速生成虚拟试穿图像，无需真实拍摄。
@avdhootttt · X
Hiee, thank you!! here's my product:
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将服装放在AI模特身上，快速生成虚拟试穿图像，无需真实拍摄。
@avdhootttt · X
Hiee, thank you!! here's my product:
Hyperliquid 循环策略计算器，显示杠杆、清算价格和年度借款成本，无需注册。
@itsggxwp · X
If you fancy in calculating how much you can go ham via manual looping $HYPE. Rush vibe coded a loop calculator here
分析您的 OpenAI 和 Anthropic API 支出，验证成本更低的模型而无需重新编码。
@SpendLensAI · X
Create an editable, on-brand 1200 × 630 Open Graph image from any website in under a minute. No sign-up or watermark required.
@TiborAntal · X
Balance images and logo clouds by visual weight using perceptual science — not bounding boxes. Free in your browser, no signup.
@MarkPraschan · X
检测您的PC硬件并找出可在本地运行的开源AI模型。
aamir_zahran · Product Hunt
Ai Can Run Check which AI models your PC can actually run — no installs
Disidea：四个顶级 AI 模型同时辩论你的决策问题。
@painterner · X
After a year away, I’m back to indie hacking. Built with Claude and GPT in two weeks, Disidea is my first launch of the year: four AIs debate your decisions in one thread. Try it: Questions? Ideas? Let’s build great products and make money. Who’s in?
ManyGPT - An open source chat application with support for multiple AI models
@sabbirhasan7172 · X
Stop switching between AI tools. ManyGPT brings ChatGPT, Claude, Gemini, Grok, and more into one workspace. Try it out and let us know what you think.
通过统一API访问207+个来自多个提供商的AI模型。
TaylorM492 · HN
InferAll – One API for OpenAI, Anthropic, Google, Nvidia Nim
用Sakura基准测试本地编码模型，测量准确性、延迟和吞吐量。
u/Unfair_Association89 · Reddit
I built a reproducible benchmark for local coding models (Ollama, 27 tasks, live leaderboard) ran it on my 8GB card, here's what I found I kept eyeballing "vibes" to decide whether one quant of a coding model was actually better than another on my machine, so I built Sakura to get real numbers instead. What it does: - Points at any Ollama model and runs it through 27 hand-curated tasks: codegen, bugfix, SQL, refactor, systems design, protocol implementation, and terminal-agent episode
