
nanointerpret
探索语言模型如何解释和处理文本的交互式平台。
belluxx · HN
Nanointerpret – LLM Interpretability Playground
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探索语言模型如何解释和处理文本的交互式平台。
belluxx · HN
Nanointerpret – LLM Interpretability Playground

用 AI 代理团队自动化编码工作,支持共享工作空间和上下文。
@BennyKokMusic · X
introducing teams in - shared context and workspace for entire team - support for claude code, codex, pi, open code, cursor and more, no vendor lock in. - run in your own infra, your data, your network - models improve and change but your workflow stays - turn coding agent into autonomous bots or schedules - bring your own subscriptions “There is a lot of coding agent wrapper out there, but this one simplifies, mobile optimized, and built for teams. It turns complex coding agent into normal chat interface” Try it now! Or clone the repo, its all yours

将LLM调用路由到成本最低的合适模型,保持质量。
george_avila · Product Hunt
IQ Routing Trajectory-aware LLM routing that cuts agent cost

与拥有真实面孔和声音的AI智能体实时交互。
iammio · Product Hunt
Ojin Talk to an AI Agent with a real face and voice, in real time

多模型事实检验API,在部署前验证AI输出的准确性。
kostaj · Product Hunt
Lenz Independent, multi-model fact-checking API for AI workflows

一个云端AI编码助手,让团队在共享房间里协作编程。
u/Wide-Echo-548 · Reddit
Slack for AI Coding Workspaces I’m the founder of Worklone ( www.worklone.com ) . Disclosing that up front. Worklone is a multiplayer AI cloud coding agent: the agent runs in a cloud Linux sandbox, the team shares one live room, everyone watches and steers the same run. Not a local CLI on one laptop. What we kept seeing building this: the agent isn’t the bottleneck. Handoff is. One person starts a run, closes the lid, nobody else can see the session, and review lives in a different tool t

扫描GitHub仓库,检测生产就绪度漂移问题并评分。
gojongo · Product Hunt
ReWeaver AI DriftDetector Drift score for any GitHub repo

发布任务来评估不同的AI代理和工具,用排行榜找出最佳方案。
u/Ruqii-ruqii · Reddit
I built an open Eval to compare different AI agents/tools/pipelines and find which solution works the best (not very pretty╥﹏╥, but practical) The original reason I built it was because I wanted to find a good PDF parser. Every PDF parser claims to be the best, but none of them can get my PDF 100% correct. They would either miss numbers or hallucinate some. Or they get PDF A and B correct but failed at C. Or get C correct but failed at A and B. Very frustrating. So I create

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

Weio 在你的邮件、文档和工作应用中自动化繁琐工作,始终由你掌控。
u/CommandProtocol · Reddit
From Autonomous Agents to Useful Systems I use Zendesk, Google Workspace and a handful of other tools for work and started using AI to automate a lot of the annoying stuff: triage, Apps Scripts, technical configuration, even some light software development. That sent me pretty deep into agents. And honestly, I think we’re a little too obsessed with making AI autonomous. I kept building increasingly powerful agents while spending more time managing context, connecting apps and supervisin

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

用 Manifest 永久保存 App Store Connect 的应用指标。
u/ItisRandy02 · Reddit
New Site - Feedback? I’ve been building apps now for about 8 months or so. While I’m not expert on marketing I have about 10 years of experience in software engineering and currently a principal engineer. I’m new to the marketing and sales flow so as I’ve been using AI and staying up to date with it I have learned to take advantage of it to help me figure out why my apps aren’t getting downloads. Turned my analytics I was running locally into a site where other app developers can track