其他2 weeks ago · 2 次试用
Say Less: try it live, cuts replies 71% | Mooch
Claude Code插件，自动将回复缩短71%，保持推理质量。
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@TahiGichigi · X
Introducing: Say Less Our custom-made Claude Plugin that cuts Claude Code replies by 71% on average. Free to use.
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Claude Code插件，自动将回复缩短71%，保持推理质量。
@TahiGichigi · X
Introducing: Say Less Our custom-made Claude Plugin that cuts Claude Code replies by 71% on average. Free to use.
在无限画布上进行LLM对话，对话分支成线程，可重新生成和比较。
emrekmz · HN
Llmcanvas.chat Tree-based LLM chat on an infinite canvas
通过提示词、设计稿或截图一键生成生产级Web和移动应用。
@buildwithbk · X
输入数学题，逐步讲解解题过程和原理。
u/peterparkermarker · Reddit
MathIQ I built mathiq.io with Claude Code because I wanted a way for students struggling with college level maths to see how the problems can be broken down and not as intimidating. Each walkthrough goes from beginning to end and each step has a "why and how?" feature. Anon users get 1 free daily walkthrough powered by Haiku 4.5. Signed in users get 3 free daily walkthroughts powered by Haiku 4.5. Plus users get 5 Opus 4.6 walkthroughs plus 20 Sonnet 4.6. Pro users get 8 Opus/30
在约束条件下试用 Jovethra OpenAI 兼容 API，无需注册。
Belius · HN
Jovethra – prepaid OpenAI-compatible API with hard usage limits
描述你想要构建的代码,AIHEYcoder 在浏览器中实时生成。
@AIHEYcoder · X
Take it/try it/rimix it made by latest @deepseek_ai Find anything in : #vibecoding #nocode #ai #claude #lovable #chatgpt #deepseek
向Claude、GPT和Gemini提问，获得它们相互审核的共识答案。
@StevenJdotCom · X
One AI makes mistakes. Three catch each other's. AI Consensus runs your prompt through Claude, GPT and Gemini. They work it independently, then critique each other until they reach consensus — handing you an AI audited, combined answer.
开源LLM和视频模型的OpenAI兼容API
bingus-bongo · HN
Use GLM-5.3 in Cursor today via tokengo API
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
减少提示中的不必要标记，降低Claude、ChatGPT等LLM的API成本。
u/HourRevolutionary666 · Reddit
Solo founder, first SaaS. Honestly not sure how to get from “it works” to “people use it” Okay so here’s where I actually am right now, not the polished version. Spent months building this on my own. It’s an AI/SaaS tool called Token Optimiser that trims unnecessary tokens out of prompts before they hit the model, so you pay less per call without losing what the prompt actually needs. It’s live at https://www.tokenoptimiser.com , I ran it through a proper benchmark to make sure the numbers
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
在分布式WebGPU网络上运行AI工作负载
u/Spiritual-Can7428 · Reddit
Testing WebGPU for distributed AI compute in the browser — feedback wanted Demo: https://www.projectmosaic.in/ Hey everyone ,been working on a project called Project Mosaic, testing how far browser-based compute (via WebGPU) can go for distributed AI workloads across regular consumer devices, instead of needing dedicated GPU clusters. Current setup: Runs compute pipelines directly in the browser using WebGPU Uses quantization and sharding to keep per-device memory usage low (aroun