Self-Promotion
p/self-promotionShow off what you're working on
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2mo ago

Open-source, multi-tenant PBX you actually own

ICTPBX is an open-source, self-hosted PBX platform for ISPs, ITSPs, and service providers who want to run white-label voice, fax, and SMS without per-user licensing fees.

It pairs the FreeSWITCH media engine with a unified ICTCore REST API and a modern Angular dashboard so extensions, IVR, queues, trunks, billing, and quotas are all managed from one place.

Key things that make it different from hosted PBX SaaS tools:

  • Full multi-tenancy with isolated domains per client, and per-tenant branding for a true reseller model

  • WebRTC softphone built in call from the browser, no plugin needed

  • Fax over IP + inbound Fax-to-Email

  • Fraud/credit controls to cap concurrent calls per tenant

  • Runs entirely on your own infrastructure your data, your uptime, your rules

What indie makers need when building with AI APIs

Hi Product Hunt! For indie makers, building with AI APIs usually starts fast. You test a model, build a prototype, and ship something small. But as the project grows, small workflow problems start to add up. You may need to: - Try different models - Check usage more often - Keep documentation nearby - Manage API access - Understand what is happening across projects For solo builders and small teams, the best tools are usually the ones that reduce operational friction. ChinaRouter is our attempt to create a cleaner AI API workflow for developers, makers, and teams. It brings model marketplace access, API gateway workflow, usage lookup, documentation, and dashboard management into one place. Website: https://chinarouter.net/ If you are an indie maker using AI APIs, what tools do you wish existed?
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2mo ago

AI API management becomes a team problem

Hi Product Hunt! AI API usage often starts as an individual developer workflow. One person tests a model, writes the integration, and ships a feature. But once a team starts building more AI-powered features, API management becomes a shared problem. Teams need visibility into: - Which models are being used - Where documentation lives - How usage is tracked - How API access is managed - How different workflows connect Without a clear system, the workflow becomes scattered and hard to maintain. ChinaRouter is built around this problem. It provides a unified AI API gateway and admin dashboard for developers, AI builders, and teams. Website: https://chinarouter.net/ Curious to hear from teams building AI products: how do you currently manage model access and usage?
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2mo ago

Building a cleaner operating layer for AI APIs

Hi Product Hunt! We are launching ChinaRouter today. The product comes from a simple observation: as AI products grow, the API workflow around them becomes harder to manage. Model quality gets most of the attention, but builders also need a clear operating layer for: - Finding and comparing models - Managing API workflows - Checking usage - Reading integration docs - Accessing a dashboard - Keeping the workflow understandable for teams ChinaRouter is a unified AI API gateway and admin dashboard designed around this layer. It is not meant to replace AI models or become another chat interface. It is focused on helping developers and teams organize the workflow around AI API usage. Website: https://chinarouter.net/ We would love feedback from developers, AI builders, and teams working with AI APIs. What would make your AI API workflow easier to manage?
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2mo ago

Why we are not building another AI chat interface

Hi Product Hunt! A lot of AI tools focus on the user-facing layer: chat interfaces, prompt tools, agents, and content generation. Those are important, but we became more interested in the infrastructure layer behind AI products. When developers build with AI APIs, they need to manage practical things: - Model access - API workflow - Usage visibility - Documentation - Dashboard management - Team coordination These problems are less flashy, but they become important once an AI product moves beyond experimentation. That is why we built ChinaRouter. ChinaRouter is a unified AI API gateway and admin dashboard. The goal is to make the operational side of AI API usage clearer and easier to manage. Website: https://chinarouter.net/ Would love to hear how other builders think about the API management layer.

Why AI API workflows become messy as projects grow

Hi Product Hunt! When building a small AI demo, working with APIs usually feels simple. You pick a model, send a request, test the response, and move on. But once the project grows, the workflow becomes more complicated. The hard part is often not the model itself, but everything around it: - Where do you compare available models? - How do you track usage across projects? - Where do developers find integration docs? - How do teams keep API access organized? - How do you avoid switching between too many dashboards? This is the operational layer of AI development, and it is easy to underestimate. We built ChinaRouter to make this layer easier to manage. ChinaRouter is a unified AI API gateway and admin dashboard for model access, usage lookup, documentation, and dashboard workflows. Website: https://chinarouter.net/ For people building AI products: what part of AI API management becomes painful first?
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2mo ago

Retic: goals and habits finally living in the same tree

I'm Ryan, building Retic solo.

Retic is a goal and habit tracker built around one idea: your goals, habits and daily tasks live in a single tree, so completing a habit today rolls straight up into the goal it belongs to. No separate habit-streak app and separate goal-planning app that never talk to each other.

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2mo ago

Building a CRM that sets itself up. Launching here next month.

Hi all, I'm Jon, and I built Ifarlo. It's launching on Product Hunt next month, so I thought I'd introduce it early.

My background is product management for sales and marketing platforms. I've spent 16 years working in and around enterprise CRM, and have experienced first hand how much time and money is spent on development, configuration, and change management to make one actually fit a business.

I wanted to come at it from the other direction. A CRM that's as easy to pick up and use as your phone, and provides you the information you need without having to search for it or struggle with reports.

A few things it does:

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7mo ago

I realized I couldn’t remember my relationships — so I built something for it. Human Timeline

A few years ago, I started noticing something uncomfortable. My contact list was full of names. Hundreds of them. But sometimes I would open a contact and think: When did I last see this person? What did we talk about? Are we still close or just connected? It wasn t that I didn t care. It was that life moved fast, and memory is messy. Contacts apps store numbers. Notes apps store text. CRMs manage data. But none of them reflect how we actually remember people. We remember moments. We remember feelings. We remember how a relationship evolves. So I built Human Timeline. At first, it was just for myself a simple way to log short meetings, voice notes,emotional tags. But once memories accumulated, patterns began to emerge: Who I meet most often Who I haven t spoken to in months Which relationships feel warm and consistent Which ones are slowly fading How emotional tone changes over time It became less about tracking people and more about understanding my own relational behavior. I added features like: - Relationship Cube (frequency, recency, emotional trend, consistency) Activity heatmaps Monthly relationship summaries Feeling pattern tracking Network graph of shared memories Side-by-side comparison between people Not to judge relationships. But to see them more clearly. The idea is simple: We don t remember life by dates. We remember it by people. This project is very personal to me. I m curious How do you keep track of important relationships in your life? If anyone s interested in seeing what I built, here s the app: https://apps.apple.com/kr/app/hu... Would genuinely love feedback.
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2mo ago

Would community feedback make you more confident about an online fashion purchase?

Online shopping makes it easy to discover clothes, but I often find the actual purchase decision surprisingly difficult.

A discount can make an item attractive, but it doesn t answer questions such as:

Is this actually worth buying?
How would I style it?
Does the fit look right?
Am I buying it because I like it, or only because it is on sale?

This led me to build Crazy Sajangnim, a project that combines designer-fashion sale discovery with a fashion community. Shoppers can explore discounted products from Korean and U.S. retailers, then use an integrated blog to share shopping lists, post fashion finds, discuss styling and fit, and receive feedback from other people interested in fashion.

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