
OutsScale — Know who’s ready to buy, and exactly what to say
OutsScale:检测购买信号,获取已写好的外展文案。
@rajkvishal · X
Find buyers already showing purchase intent — before your competitors do.
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OutsScale:检测购买信号,获取已写好的外展文案。
@rajkvishal · X
Find buyers already showing purchase intent — before your competitors do.

上传房屋视频获取AI改进建议以最大化售价。
u/engineeralex · Reddit
I built a free AI tool that watches a phone video of your house and tells you what to fix before you sell People prepping to sell either sink money into a full kitchen remodel that returns about half (NAR pegs it around 55% cost recovery) or skip the cheap fixes that actually pay. So I built HomeBrief . Film a 3-5 minute walkthrough on your phone, a vision model watches it, and you get a room by room fix list with cost ranges and estimated value added. Calls from real reports, least aggr

比较多渠道AI订阅价格,找到最低报价。
bytedoger · GitHub
awesome-OpenPrice 一个开源的收录全网卡网渠道各种AI订阅价格的项目。打破信息茧房,一站式获取各个渠道的 Claude、GPT、gemini 、cursor产品的最新价格

追踪房产经纪佣金分账、税务准备金、里程和实得收入的免费账本。
u/dayngerous78 · Reddit
Sharing my side project - Real Estate Commission Planner Highly doubt anyone here would have use for this specific niche app but this is for sharing side projects so decided to share mine to other builders. The stack is pretty simple with tailwind, nextjs, supabase with google auth. My wife is a real estate agent and the tough part are keeping up with GCI vs net, taxes, expenses and even year over year stats. This handles it all. A lot of brokerages have software to use for th

通过隐私优先的实时分析理解营销数据中的转化驱动因素。
@realYinkaIyiola · X
- conversion-focused ai-enabled analytics

在12个来源发现B2B买家,按购买意向排名,自动生成回复。
@MannPriteshh · X
Checkout it helps businesses find leads easily

Bidventor 帮助亚马逊卖家优化产品列表和广告支出以增加利润。
@adeelimrani · X



租房产管理工具,跟踪租户、生成PDF收据并管理租赁提醒
@princejr_dev · X
My product name is SmartBay, a rental property management that help landlords to manage their tenants.

4ollower:创作者专用dashboard,追踪增长、管理品牌合作和财务。
@BayofDomain · X

创建私密讨论,从使用稳定化名的人那里获得诚实反馈。
@wheesperapp · X
I built Wheesper to help people speak honestly without losing the context of a real conversation. It evolved from anonymous feedback into private, threaded discussions with stable pseudonyms and moderation controls. Check it out