... fintech startup and we've just raise $4m So we rebuilt our context system, to help Pretty Prompt give better results. (Best part, the user owns that context, and can use it across any LLM) Launching today Instructions vs Memory. Instructions Explicit rules that always apply. Examples: No em-dashes Keep answers under 512 characters Use bullet points Memory Background context that only appears when relevant. Examples: My audience is non-technical I'm launching on Product Hunt and like ... ... matter how many times I repeat them. Thoughts? Comment from Jim Jeffers(@jim_jeffers): Really like this distinction. Treating instruction and memory as the same thing is one of those small product choices that quietly creates a lot of mediocre

... this guide isn't just a quick summary. We're going to go deep. We'll explain exactly what Snaply is, how it works, why privacy matters so much for dictation tools, how it stacks up against every major alternative, who it's best for, and how to get the most out of it. Whether you're a solo professional, part of a team, or evaluating dictation software for an enterprise deployment, this is the most complete breakdown ... ... find. Table of Contents Why AI Dictation Matters in 2026 What Makes a Truly Great Dictation App What Is Snaply? Snaply's Core Features: In Depth Why Privacy Is Non-Negotiable for Dictation Snaply vs

... cloning, image generation. That's great for privacy, but brutal on memory. Running the full stack needed 35+ GB RAM. Most of our users have 8-16 GB laptops, so they were stuck with tiny 1B models that gave mediocre scripts, slow commands, and limited context. What TurboQuant does TurboQuant implements two algorithms from Google Research paper PolarQuant and QJL. That compress the KV cache (the biggest memory bottleneck during AI inference) by up to 6x with mathematically proven quality ... ... preservation. In plain terms: your AI models now use a fraction of the memory without getting dumber. Before vs

... clearly dropped. But the more I use these tools, the more it feels like speed isn t the limiting factor anymore. The real constraint seems to be taste. what do you choose to build? what do you keep vs discard? what actually feels right vs

... just shifting; it is polarizing. With massive foundation models acting as the new "AI OS," Big Tech is devouring the general-purpose service area with overwhelming capital. In this landscape, solutions sitting in the "Messy Middle" offering mediocre, generalized functions will lose their footing and vanish. The market is splitting into two surviving groups: 1) Big Tech (The Horizontal Giants): Broad and Shallow ChatGPT, Gemini, and Claude have already absorbed general tasks like email writing, translation, and basic coding. There ... ... process, allowing patent attorneys to cut drafting time by 75%. 3) Data Moat & Customization Every firm has a preferred "drafting style." Patenty.ai learns this to generate results that feel "native to the firm." This creates a moat that competitors