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Product Hunt ·

LFM3 by Liquid AI

Six 2B-class models for phones, laptops and robots

Product Hunt ·

seam

Turn your Mac's notch into a Dynamic Island

Hacker News ·

Show HN: I built a Lovable Alternative that runs in the browser

Hey HN, we built playplanet.dev, a Lovable alternative that lets you build and run full stack apps entirely in the browser, no server needed. We run it on a Linux like system compiled to WebAssembly and then use a runtime on top of it. Currently we support frameworks like Astro, React, Angular, Vue and Svelte. You connect your own OpenRouter account and use it to build out the code with an LLM, so there’s no markup fee on our side. Every app you publish is open source under the MIT license, and

V2EX ·

[推广] 照片一键变牛仔舞视频

一个小工具-AI MEME 生成器： https://dime-dime-baby.com/ 上传一张图片用 AI 生成 dime dime baby 同款视频，支持 480p 、720p 下载，MP4

V2EX ·

[问与答] 独立开发产品，你们做第一个产品时，怎么判断会有人买？

OPC ，一人公司，我现在最没想明白的，是做什么才有人愿意付钱。 AI 能帮忙做产品，但我还是担心：花时间做出来了，最后只是自己觉得有用。别人说一句“不错”，好像也很难判断他到底会不会买。 想问问已经一个人做产品的 v 友们，你们当时是怎么迈出第一步的？怎么找一个具体需求，再去做；还是先做个能用的版本，拿出去试？ 特别想听听，在还没有人付款的时候，是什么反馈（热血？兴趣？）让你决定继续做下去的？如果只能等第一笔钱到账才算确认，那在这之前，你愿意投入到什么程度？ 看走眼的经历也想听，比如一开始有人感兴趣，做完却没人买，后来才发现当初误判了什么。 我主要就卡在动手之前这一步，想听点踩坑的经历。（成功的经历看不少，感觉不太真实，像幸存者）

Product Hunt ·

Our Silly Games

Skills to build games with Claude. Free multiplayer hosting.

Hacker News ·

Show HN: Crulon – Business phone where AI does the work, humans make the calls

Hi HN, I’m Rayhan. Crulon is a business phone system where an AI agent answers the line and your team works alongside it. You can talk with our demo agent right in your browser, no sign-up: https://crulon.ai/#talk Why I built it: I’ve spent eight years as a software and network engineer, mostly building tools for internet providers, and kept watching small support teams lose customers in the seams. Calls missed after hours. Calls passed from a bot to a person who had to start over. Most voice AI

Hacker News ·

Show HN: Aigent-OS, a Claude Code harness that clears and resumes

I run my business on four Claude Code agents: Titus, Pheme, Davinci and Metis. They write my newsletter, The AIgent (about 9k subscribers), every day through a drafting and proofreading engine that Pheme checks before scheduling. They also build AI courses, run a pipeline that turns the day's featured repo into a talking-head video of my avatar for Instagram, set up ad deals, and run Meta ads and email funnels with me. Nothing closes until I sign off. Metis posts jobs on a job board and the othe

Product Hunt ·

Genie 4

Turn a prompt into a living world you can steer

Hacker News ·

Show HN: Weir - Catch credential leaks in the AI agents you build and use

Hi HN. Weir is for one problem: credentials crossing the boundaries of your AI agent. For agents you build, Weir plants fake credentials where real ones would live, runs the agent's normal flows, and checks what comes out: telemetry, logs, console output, model requests, and requests to other services. It looks for those exact values, including common encoded forms, and reports where they went without printing the credential. pip install weir-scan weir canary judge --sample That sample shows a p

Hacker News ·

Show HN: Formstep, Request information from customers without the back-and-forth

I built Formstep: https://formstep.io The idea came from a problem I kept running into while working on loan applications. A workflow could automate a large part of the process, but eventually it would need something only the customer could provide: a document, a correction, a signature, an explanation, or confirmation of some information. At that point, workflow automation basically did not work. The forms themselves were also often the source of the problem. Applications came in with wrong doc

Product Hunt ·

NotiKeep

Notification history for iPhone, on your device

Hacker News ·

Show HN: Snippet – an always-on AI agent

Hi HN, I built an always on always listening AI Agent, here's some backstory: I've always struggled with the attention problem while developing. Even with agents, I can work fast, but I don't know if I can keep working for long, or if I can come back to a problem once I get distracted. So a little while ago I built Snippet for myself. It's an always-on, code-first agent based on my own struggles with writing code. It tracks, it remembers, it speaks and it listens. Always on, unless my battery di

Product Hunt ·

OneDeploy

Open-source apps on your own server, with no per-seat fees

V2EX ·

[问与答] stripe 生成的支付宝订单没法支付，有人遇到过吗？

stripe 生成的支付宝订单没法支付，可以跳转到 Alipay+ 的收款台，正常显示支付码 但是支付宝一扫码，支付宝 App 就显示 付款失败 人气太旺啦，稍后再试试 换了 3 个支付宝都付不了，stripe 侧显示支付宝状态正常 不是网络问题，我叫的国内的朋友试了试也不行 这是被支付宝软封了？ 我是海外公司+海外永居 产品卖的是一个给外贸用的出海小工具（中国客户占 6-7 成，也有欧美客户），应该不算违规

Hacker News ·

Show HN: Open Dataset of the Lebanese Law

Hey folks! I made it easier for builders to use the lebanese legislation through: a public DB, API, and MCP. The Lebanese University has an archive of all laws dating back to 1904 (legallaw.ul.edu.lb). People and AI can barely find it and navigate it. It also had outdated articles. Now, more people are using it. Builders for their startups, lawyers for their work, and students for their bar prep. I'm still trying to get it trusted by authorities. The database includes the edges between every law

Hacker News ·

Show HN: Cryo – A language whose programs live forever

Cryo is a programming language that models long-running tasks like workflows or AI agents. Programs freeze to disk when idle and can be thawed when new data arrives. As part of our announcement of Endothermic Labs, we've put together a small demo of Cryo that highlights its features and walks through the language and its plugin system. We originally built it as a way to deploy healthcare agents at scale, but have rebuilt it from the ground up to be a standalone toolchain for long-running tasks.

Product Hunt ·

Enclave

One hover, everything you need.

Hacker News ·

Show HN: Sectr – Serverless backend platform for easy deployment of AI agents

Hey HN, I've been building Sectr, a backend-as-a-service for making it easy(ier) to develop and deploy AI agents. Deploying agents requires non-trivial systems design work. Consider a support agent: how do you stream messages to your frontend, how/where do you persist messages for frontend fetching later (or for auditing), and when the agent wants to issue a refund, do you spin-down the compute infra while it's waiting on human approval? Sectr aims to be the serverless abstraction and platform t