
CallSlim — Your Business AI
An AI assistant that automates and manages business tasks.
@CallSlim_ · X
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Tech stack
15 projects

An AI assistant that automates and manages business tasks.
@CallSlim_ · X

A sales dialer that consolidates prospecting, sequencing, dialing, and follow-up into one workflow.
sadidrahimi · HN
hello HN, let me tell you why i built boilerroom ( https://boilerroom.ai ). throughout my past endeavours in sales, the one thing that thoroughly pissed me off was living in a million places to execute one thing; the outbound motion this includes everything top of funnel like finding leads (be it inbound or outbound), researching, filtering for qualification criteria, throwing them in a sequence, engaging them via dialer, email, and linkedin, gathering context, all the way through bottom of funnel like discovery calls, demo calls, and post-sales activities what absolutely does not exist (or if it does, a piss-poor model) is a place to simply execute this work in one place why tf do i have to be on clay, or apollo, clicking around looking for leads, researching them around myself, put them in to some other garbage software to sequence to tell me when to make a call or send out automated emails, only to get a massive backlog of things I was supposed to do, which in turn makes my whol

Build and deploy AI voice agents to handle customer calls using a no-code visual graph editor.
@mattcabral_ · X
looking for honest feedback from devs

Write objectives and let AI agents (Claude, Cursor, Codex) decompose and execute coding tasks.
dudemanAtl · HN
PlanWright – A control plane for AI coding agents

Real phone numbers for AI agents with voice calling and SMS messaging.
@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.

Transform goals into actionable steps and manage priorities with an AI planning assistant.
AI Todo — 像很多程序员一样,我日常要兼顾工作任务、生活琐事、项目计划,时常感到事情多但漏掉的也不少。想用智能方式管理这些待办,但市面上的工具要么设计臃肿,要么 AI 能力很弱。于是我花了几周开发了 AI Todo,目标是:

AI-powered project planning that recommends the most cost-effective model for each task.
@Hanumliahzhra · X
vibecoding free tier Just discovered Vibe Coding Plan - AI-powered project planning that breaks down ideas into actionable tasks! Check it out

Contact and booking forms optimized for AI agents to interact with.
@AIDailyGuy · X
the form built for agents

Organize all your brand assets and branding decisions in one place.
u/Andyrewden · Reddit
I built a tool to keep all your brand assets (and your brand sanity) in one place Hey everyone I run a small branding consultancy and got tired of watching early founders juggle logos, colours and half-remembered brand decisions across a mess of Google Drive folders. So I built Inzo. At its core it's a brand management tool, a proper home for all your brand assets, guidelines and decisions in one place. But the bit I'm most excited about is the inbuilt brand consultant. I've been building

Give your AI agent a real phone number, SMS, and WhatsApp capabilities.
@galdayan1895 · X
do a favor and give your ai agent a phone number

AI executive coach for validating business ideas and creating business plans.
@AskAstonNow · X
is a new and free AI executive coach.

Manage academic conferences: submit and review papers, handle scheduling and registration.
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age