Qwippy
AI chat widget that learns your website in 2 minutes
What it does
Qwippy answerYour website visitors leave without buying because no one answers their questions at 2am. Qwippy fixes this. It crawls your website automatically, learns your content, and answers every visitor question instantly — 24/7. ✅ Installs in 2 minutes (one line of code) ✅ No manual training needed ✅ Captures leads automatically ✅ Supports English, Arabic, Russian and more Free plan available. Every visitor question instantly — 24/7. Installs in 2 minutes. No technical skills needed.
Does the same job
all alternatives →
SubscriptionFlow IQApr 2026 · subscriptionflow.com · ▲88Turn Website Visitors into Customers with AI Conversations
- 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. -…
More ai this month
the category →
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.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2026
the whole month →
Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
