ChatSupplies
Smart AI Chatbots Built for Growth
ChatSupplies launched on May 11, 2026 with 3 votes, #3,449 of 20,538 launches that month and more than 50% of that year's launches.
What it does
ChatSupplies helps businesses launch powerful AI chatbots for their websites in minutes. Train your chatbot on your own content, automate customer support, engage visitors instantly, and turn more traffic into qualified leads 24/7. Built to be fast, smart, and effortless without the usual technical headaches.
Premium chatbot tools and AI-powered customer support solutions
Looking for an AI assistant to effortlessly meet your customer needs and boost business efficiency? Customize your chatbot's responses, tone, and appearance with the Chatbot Builder. Train the chatbot with your own data, FAQs, and unique business insights to provide highly tailored interactions that align perfectly with your needs. Easily access and review all your chatbot’s past conversations in one organized place. Explore detailed chat histories to understand customer behavior, identify common questions, and evaluate chatbot performance. Use these insights to refine your chatbot’s responses, enhance user satisfaction, and continuously train smarter, more effective AI assistants. Provide…from chatsupplies.com
Does a similar job
all alternatives →More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video

Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com