
Zynfo AI — AI Agent for Customer Support & Lead Capture
AI chatbot that handles customer support and lead capture 24/7 on your website, Shopify, and WhatsApp.
@hisachinj · X
The full gallery
Tech stack
19 projects

AI chatbot that handles customer support and lead capture 24/7 on your website, Shopify, and WhatsApp.
@hisachinj · X

Explore 600+ B2B marketing frameworks with proven examples for positioning and outreach.
@ZofloqDev · X
It's a library hosting over 500 proven frameworks that can be filtered and matched to your exact problem. This helps with outreach, positioning and strategy going forward let me know what's good and bad about it would love the feedback

Automatically scores, tags, and deduplicates customer feedback submissions.
@ImFabien · X
- feedback management and suggestion box with built-in churn insights for SaaS teams.

AI-powered CRM for lead discovery, email verification, and cold outreach.
@ensaktas · X

Track LinkedIn engagement to identify buying signals and generate qualified CRM-ready leads.
@traxy_ai · X
LinkedIn is where B2B deals are. helps you connect with the signals for these deals as soon as they arise and have them ready for your outbound systems. Do not be part of the noise, but the conversations.

Embeddable visual workflow builder for web apps with optional AI assistance.
tahazsh · HN
Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t

All-in-one platform for managing and automating outreach campaigns.
@X_LetsConnect · X
- all-in-one outreach platform.

Automate your B2B revenue execution by unifying marketing, sales, and customer data.
@k_mansourizadeh · X
Curious to learn more, building

Generate and compare offers, emails, and ad copy across seven AI models.
@MarkZofMarkZ · X
Let's connect! Profit Router 📈

AI-powered virtual data room that transforms documents into guided experiences for deal teams.
@Puneeeeeeet · X
We help brands go viral on X with organic video campaigns that people actually want to watch. wanna try for

Analyze customer data, segment audiences, create campaigns, and track commerce metrics.
@jitendraballa · X

Split restaurant bills by item using AI photo scanning or manual entry, then share with friends.
u/getawaykid · Reddit
I got tired of doing receipt math at restaurants, so I built a free bill splitter with optional AI scanning TL;DR: Receipt Split splits restaurant bills by item. Free for manual entry + real-time sharing. AI photo scanning is optional and costs money to run, so I only charge for that part. I built Receipt Split after one too many dinners where someone said “let’s just split it evenly” while my friend was sitting there with a salad and everyone else had entrees + drinks. It’s a web app —