myzie · HN

I built several harnesses in different products over the last two years. Fully agree with you that doing it right is a rabbit hole. Certain system properties that you almost always want in a harness used within a SaaS (for example) are non-obvious at the start and require certain architectural choices. It's easy to start down a path and then find a gap a couple days before launch. Async tool calls, having the agent wait indefinitely for a human response, and showing a form or questions to the us

kumar_ajay4 · Product Hunt

Bolcho AI Build Voice AI agents that actually speak India

@AgentLineHQ · X

Every AI agent is going to need a phone number eventually. We built the infrastructure for that. Real numbers. Voice + SMS. Built for OpenClaw, Hermes, Claude Code, Codex, LangGraph or any agent.

@divlohia · X

Katalyst - Agent that runs pipeline for teams on Salesforce. @joinkatalyst

@Nathaniel148600 · X

BuildAI — Create an AI employee from your website in under a minute. And deploy it as a Widget, API, or AI phone agent.

@aditya03699 · X

u/antiochIst · Reddit

I launched SquireWorks - a platform for creators to build and license their own AI models Today I launched SquireWorks. The idea is simple: creators should be able to build AI versions of their own work, control them, and get paid when people use them. We call those AI models Squires . We’re starting with professional voice actors. A voice actor can create a licensed AI model of a voice they actually perform. They can use it themselves for client work, make it available through their

@xzensh · X

记 alink @alinkHQ 的第 n 次调整。 我把 丢给一个朋友，两天后他回复「牛啊，这个产品是不是比较超前啊，看了几遍才有点理解」。 一个懂技术的人需要看几遍，估计不懂技术的人看一眼就走了。 Fable 同学说，超前的不是产品，是叙事选择的入口。alink 把最超前的一层（智能体身份／关系／授权）当成了解释产品的入口，而它本可以只是信任背书。产品里最不超前的部分——「有人找你时，有个东西替你接待」——是千年老需求：秘书、前台、门房、答录机。AI 没有创造这个需求，只是第一次让个人也雇得起一个前台。 新的调整已经上线了，请帮我看看，如果你觉得还有问题或者有建议，欢迎通过 反馈。 对于高质量的建议我们赠送1年 alink Pro 会员。

@justarieldotcom · X

Sign up, its free! Use it or cancel without contract. Simple!

@7ggx45 · X

Check out what I just built with Lovable!

@__cski · X

me too, once this month! Awesome projects too! I'm working on a kickass meeting assistant, It comes with a mac app too!

u/Affectionate_Hat_585 · Reddit

Building smallest neural Text to speech system that runs on microcontroller cheaper than cup of coffee : 30 voices, 16 languages Most TTS is a cloud API call or a multi-gigabyte model. I wanted the opposite — the smallest, most honest neural TTS I could make, small enough to run somewhere with no server at all: a microcontroller, a browser tab, whatever you've already got. What it turned into: sanoTTS, 30 trained voices across 16 languages, ranging from 294,642 parameters (337