Nextora Insights
0% Pay-to-Win B2B Software Intelligence & Cost Simulator
What it does
Nextora helps engineering teams and CTOs discover, benchmark, and compare 50+ enterprise SaaS tools with verified pricing, accurate cost calculations, interactive stack simulators, and unbiased technical comparisons—so you can choose better software without overpaying.
Discover, benchmark, and compare 50 enterprise software tools with verified transparent pricing and non-linear SaaS calculators.
Real-time evaluation, algorithmic signal scoring, and verified intelligence across the next generation of AI tools and software. Directory of software platforms with transparent pricing data. Eliminate marketing noise with data-backed, evidence-verified intelligence. A single 0–100 score computed continuously from developer adoption, benchmark performance, and market velocity. Spot breakout tools weeks before they become mainstream with algorithmic momentumfrom nextorainsight.com
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- NBNext Browser native on Linux2018 · ▲198
Thanks to a new design Next is now available for Linux!: https://next.atlas.engineer/article/technical-design.org What is Next? Next is a Lisp based productivity focused browser. You can read more about that here: https://next.atlas.engineer/article/the-next-thesis.org You can download a binary from here: https://next.atlas.engineer/download You can view our GitHub here: https://github.com/atlas-engineer/next Thanks for your time, I'm very interested in the HN Community feedback, thanks!
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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 · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
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 · 26d 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 · 16d ago · simedw.com