Ignix
Schedule posts, automate DMs and comments.
What it does
Most people pay for three tools: a scheduler, a DM and comment bot, and a support inbox. Ignix is the three in one. It publishes across 14 networks, turns comments into DMs automatically with an AI agent that replies in your voice, and puts every DM, comment and review into a single inbox. What's different: the chatbot tools charge by number of contacts, so your bill grows as your audience does. Ignix is a flat price with unlimited contacts on every plan, from $19/month.
A social media scheduler, an Instagram comment-to-DM chatbot and a shared inbox in one tool. From $19/month — unlimited contacts & messages from Blaze.
Ignix is one social media management tool instead of four: it replaces your post scheduler, your DM chatbot, your support inbox and your AI content tools. Schedule everywhere, turn comments into customers with automations, answer every DM from one inbox — and let Autopilot plan your week of content in each account’s own voice. Pick your problem. Each one has a fix that starts working the same day. Sparky learns your business once and answers the usual questions in DMs, comments and your website chat — 24/7, in your tone. Comment→DM puts your link in their inbox in seconds, asks them to follow you first, and captures their email on the way. Plan a month in one sitting: drag-and-drop…from ignix.social
Does the same job
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Simpliers Chat | DM & Comment OpsFeb 2026 · ▲30Automate IG DMs and comments without sounding like a bot
More growth this month
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Growth · 29d ago · astrapixels.com
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 · 17d ago · simedw.com