ify
Resolution AI that works on top of your existing helpdesk
What it does
Most AI support tools ask you to rip out your helpdesk first. Ify works on top of Freshdesk, Zendesk, Salesforce, or HubSpot and gets to work across email, chat, WhatsApp, Slack, and more. The part that usually stalls an AI support rollout is "our docs aren't good enough." Ify solves that by building its own knowledge base: it scrapes your site and docs, generates SOPs from release notes and past ticket resolutions. Built for support teams who want something live now.
ify is resolution AI for SMB support teams and works on top of Freshdesk, Zendesk, Salesforce, or HubSpot, no migration required.
Works on top of Freshdesk, Zendesk, Salesforce, or HubSpot, building its own knowledge base from day one. No migration required. Hi, I noticed during my plan upgrade I was charged twice, kindly look into it. Email, WhatsApp, Slack, Teams, helpdesk, chat widget, forms, or social. Every channel creates a ticket automatically. No copy-pasting between inboxes. Classifies the ticket, how-to question, billing issue, or bug report, using per-channel memory and the guardrails your team has set. Picks the lane based on ticket type: docs and past resolutions for how-to questions, billing and CRM tools for account issues, bug repro and Jira for reported bugs. When it genuinely needs a person, ify…from useify.ai
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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.
AI · 16d ago · simedw.com
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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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Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


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 · 16d ago · simedw.com