SiteSupport
Train an AI chatbot on your website in 5 min. Free forever.
What it does
You write docs. You write FAQs. Customers still email you asking the same stuff. SiteSupport fixes that. Paste your URL, it reads your site, and you get a chatbot that actually answers questions using your content. Setup takes 5 minutes. No code. Why people like it: ✅ Free plan, no credit card, no catch ✅ Answers come from YOUR content, not made up stuff ✅ Works on any site (React, WordPress, Shopify, whatever) ✅ Cuts support tickets by around 70%
Does the same job
all alternatives →- SiteSupport.aiMar 2026 · sitesupport.ai · ▲3
Train an AI chatbot on your website in 5 min. Free forever.
- IAInstant Answers – Have 1:1 conversations with any given text source2023 · instantanswers.xyz · ▲15
Hi everyone, We are Nico and Leo. We built an AI-powered chatbot builder designed to make it easy for anyone to create a ChatGPT-like chatbot in just minutes. If you're interested in trying it out, we offer a FREE plan that allows users to create and customize their own chatbot. It is ideal for people looking to add a support chatbot to their website or summarize complex information. Here are some of the key features: - Upload documents (PDFs, docs, txt, csv) or input a website URL, and we'll extract the information and build a chatbot that can answer questions related to the content. -…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Switch from ChatGPT to Claude with import memory feature
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