sipsip.ai — 支持30+平台视频AI转录并提取摘要，订阅RSS可以每天发送早报

@pmxgrowth · X

Built after taking my own site from 2% to 7% lead conversion. AI agent that answers first, captures the lead once it's been useful.

@raster_app · X

@jobcloudai · X

Podwise — 专为播客听友设计的 AI 知识管理应用

oliviamy · HN

AI Humanizer – Rewrite AI text into natural copy

Aldasams · HN

Show HN: DocFlow – AI documentation updates for GitHub pull requests

@Mr_Chaudhary27 · X

building this Instagram DM Automation tool, currently, trying to capture small market among the competitors. Edge: others are expensive and don't have much AI support. will love your input on this.

@liquidated0x · X

building an AI coding agent that ships full projects from a prompt — if you're if you're curious

@baptistedulac · X

time tracking for freelancers and agencies

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

stan_kirdey · HN

Clark – AI assistant with own computer