TELEMMX Telegram Marketing Software
Turn Telegram conversations into qualified leads
What it does
TELEMMX is a Telegram operations platform for teams managing multiple accounts, monitoring keyword-based opportunities, and coordinating timely conversations at scale. It brings account management, workflow automation, group engagement, and lead follow-up into one workspace—helping businesses build stronger communities and respond to relevant customer intent faster.
TELEMMX is an all-in-one Telegram matrix automation platform supporting bulk account registration, smart account warming & rebinding, keyword lead capture, scripted group engagement, mass DM, built-in smart account protection & auto-unlock — helping enterprises reduce costs and build owned community traffic at scale.
TELEMMX brings accounts, lead generation, messaging, and automation together in one platform, helping teams move from fragmented management to unified operations. Manage all Telegram accounts in one place with full control over operating environments and account status. Discover genuinely interested prospects from groups, channels, and relationship chains. Let automation handle repetitive inquiry replies and follow-up workflows. Unified management of batch messaging, group group broadcasts, and contact messaging tasks. Centrally manage Telegram groups, channels, and Bots to simplify community operations. Batch screening & account maintenance, username asset protection, business customer…from telemmx.com
Does the same job
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Launched alongside, August 2026
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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