Scaloom
AI-powered Reddit marketing for Google & AI search
What it does
Scaloom is an AI-powered Reddit marketing platform that helps founders build trusted accounts and turn Reddit into a search acquisition channel. ✅ Warm up Reddit accounts for karma & trust ✅ Find relevant subreddits and conversations ✅ Draft AI replies with human approval ✅ Find Reddit threads already ranking on Google ✅ Track brand visibility across ChatGPT, Gemini, Claude & Perplexity ✅ Discover GEO/SEO content opportunities
Build Reddit authority with account warmup, viral post ideas, AI replies, AI Rank Tracking, and GEO/SEO Reddit Opportunities for Google and AI search.
Warm up trusted Reddit accounts, find GEO/SEO opportunities, track AI rankings, and draft every reply with one-click approval to attract customers from Google and AI search. Create the trusted discussions buyers discover today, then see how your product appears across Google and the AI engines they use to make decisions. Track precise buyer prompts across ChatGPT, Gemini, Perplexity and Claude. See visibility, average position and movement over time instead of guessing whether AI recommends you. Find relevant Reddit discussions that already rank, understand their keyword opportunity and prepare useful contributions while the page has active search demand. Prepare trusted accounts, discover…from scaloom.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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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.
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