
LeadForge
为外包销售团队打造的AI线索智能CRM
@LeadForgeLLC · X
Building the operating system for outbound agencies. AI, territory discovery, team collaboration, and execution in one workspace.
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为外包销售团队打造的AI线索智能CRM
@LeadForgeLLC · X
Building the operating system for outbound agencies. AI, territory discovery, team collaboration, and execution in one workspace.

将公司的通话、文档、工单和CRM数据统一为可搜索且验证的记录。
@chaibytesai · X

在一个仪表板中管理出租物业、跟踪租户、租金和维护日志。
@KatiyarSaiyam · X
just shipped my first full-stack app 🏠 properties, tenants, rent tracking & maintenance logs, all in one place. UI is still a work in progress — actively making it better. would love honest reviews & UI suggestions! 🔗 #buildinpublic #webdev #reactjs

Scoply 从会议记录生成范围蔓延风险警报。
@theshaunak_twit · X

Vault_76:一个用于管理设备租赁、付款和库存追踪的系统。
@ShakibMd93031 · X
Built an Equipment Rental Management System to simplify rentals, payments, and equipment tracking. Looking for businesses interested in a demo or a customized solution.

聘请经过验证的自由职业者并安全地管理远程项目。
@easyassignapp · X
EaseAssign :

为 AI 代理构建数据库、看板和笔记以进行协作。
@emir_ogz · X
Just shipped - AI-native workspace for solo devs Agent reads/writes your project notes automaticly

为订阅业务提供AI驱动的留存智能。
@cobraisystem · X
Manual retention can’t keep up with your acquisition - sees the slip, forecasts the churn, and triggers the save that keeps your growth compounding.

开源提示词压缩,在API调用前压缩输入以降低LLM成本。
@asgujjuasitgets · X

使用AI自动分类邮件并生成智能回复。
@HarshKharw26262 · X
Just shipped SortMail for the @meshapi_ai #MeshHackathon! An AI-powered Gmail inbox assistant that automatically classifies emails using GPT-4o. Live: GitHub: #MeshHackathon @meshapi_ai #BuildInPublic #FullStack #WebDev #OpenAI

Boilerroom 整合销售勘探、拨号、通话录音和自动跟进。
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

Ornymo通过语义缓存减少LLM查询成本和延迟。
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]