RatedFirms
Trusted B2B business directory & company discovery platform
What it does
RatedFirms is a trusted B2B business directory and company discovery platform that helps businesses find, compare, and hire top IT service providers worldwide. Browse verified company profiles, authentic client reviews, service rankings, and detailed business information to identify the right technology partner.
From enterprise consulting to boutique creative studios — find the perfect partner for any project, at any scale. Tell us about your project, budget, and timeline. Our smart filters help narrow down the noise. Browse deep-dive profiles with verified client reviews, past projects, and technology stacks. Schedule consultations directly through our platform and hire with complete transparency. "RatedFirms saved us 40+ hours of vetting. We found our AI partner in 3 days." InnovationM provides AI consulting, engineering, machine learning, generative AI, LLM development, conversational AI, and AI integration services. Its teams develop intelligent digital products and enterprise solutions that…from ratedfirms.com
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Open-source GTM skills for technical founders
Dev tools · 29d ago · gtmcofounder.com
OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 2d ago · opentrailpaper.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