@Flightmussy · X

@jusDiggingholes · X

Not really a saas or startup. Retired military here. We get moved a lot. Making a site for military or retirees to get a good snapshot of their next or last base area: Crime. Schools. Costs etc.

@HowardYHuang · X

@marcin_u2 · X

-> here it is! claude finally knows everything gpt knows. and both of them know everything that's happened across your email, drive, slack, notion, github and granola :)

@StartupWiki2 · X

u/JustinMoose · Reddit

I built an app that flags when commission earners get underpaid, unpaid, or clawed back I sell insurance for a living, and a while back I realized I had no real way to know whether the carriers actually paid me correctly. You bind a policy, and 30-60 days later some commission shows up on a statement, and you just kind of trust the number. Across hundreds of policies and a few carriers, that's impossible to track in your head. So I built PayoutVerify. You log what you sold and what you expe

u/ornymo_official · Reddit

how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]

@Mahmoud525258 · X

Check out what I just built with Lovable! Safety is an AI-powered website analysis platform designed to help people make smarter and safer decisions before visiting or trusting any website.

@mutou1852 · X

做了一个中转站点收录网站，展示倍率、初始额度、可用分组和实测性能数据。 希望帮大家更快找到适合自己的站点。

@oyoovi · X

做了一个地缘信息观察的网站，供大家免费使用： 首页基本要素综合

robert_marshall5 · Product Hunt

attestd CVE and supply chain risk signals for autonomous AI agents.

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