
growth-loop.dev — you built it. Now what?
分析你的AI产品并指导你获得首批用户的AI增长顾问。
@_knyazeVartem_ · X
Ladies and gentlemen
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分析你的AI产品并指导你获得首批用户的AI增长顾问。
@_knyazeVartem_ · X
Ladies and gentlemen

CoBro 用 AI 扫描竞争对手和市场数据,90 秒内判断初创企业创意是否值得构建。
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.

在推出前对AI产品进行AI辅助扫描。
shahzar_shad · Product Hunt
Launchieve Launch your AI-built product with fewer surprises

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

监控AI代理的LLM调用、API和基础设施性能。
kirankgollu · HN
Oodle.ai – $10 per million agent traces

自主发现高价值排名机会并自动执行网站优化的 AI 系统。
@hola_gmi · X
built with claude ai. —

用AI驱动的投资工具分析股票,包括DCF模型和选股器。
@StephanInvests · X
Building a financial saas at the lowest price for people to put more towards their financial goals


In-browser AI model manager with download progress tracking.
wassimgr · HN
Weightlift – the missing package manager for downloading model weights

聊天对比 AI 模型,投票参与排行榜排名。
u/Rabus · Reddit
I got TestingModels too overcomplicated over the month it is running: looking for some feedback how to make it more useful and simpler I run a benchmark like arena.ai , but with pre-generated prompts. So far, nearly 6k people came in and like 30k comparisons has been made - which means the thing is genuinely useful for people to compare the models. The problem is the more features i started adding the more overblown and complicated UI became - like old internet explorer tab bars Old: ht

Aurora - 本地AI代理验证系统,提供透明的推理过程和MCP集成。
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents

用 AI 创建产品路线图、管理任务并收集功能反馈。
@jimmy_harika · X
TLDR: Notion shipped my exact app that I have using in my daily workflow from last 2 years. Try here: It got a mcp that wires to your claude code and codex. Git integration is almost complete and will ship in coming days