snerp
Automate AIO with snerp for your brand, or build an agency
What it does
snerp automates AI search optimization by monitoring AI search results and sources and creating robust, researched articles to displace existing sources. These articles place your brand highly and go directly on snerp owned domains that fit your category, or your website with approval. AI search uses and cites these articles because of their richness of sources and semantic match.
snerp tracks whether ChatGPT, Claude, and Google AI Mode name and cite your brand, then does the work to make sure they do.
snerp autonomously creates and publishes content across the internet to get you ranked in AI search. Other tools hand you a report and then guide you (kind of). snerp publishes deep research articles that mention your brand highly on domains it owns, serves Reddit threads to participate in, and keeps an autonomous schedule that ships and reships until AI names you. Thread asking for tool recommendations. Reply drafted in your voice, held for your approval. High-intent thread cited by ChatGPT. Reply drafted, held for your approval. Thread an engine cites for this question. Reply drafted, held for your approval. AI cites rivalco.com's comparison page 20 times to answer whether this category…from snerp.ai
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AI Search ConsoleJul 2026 · search-console.ai · ▲500Prompt analytics and citation mapping for AI search
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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 · 17d ago · simedw.com
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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, 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