Grant Mucha
2.5K posts

Grant Mucha
@grantmucha
🍁 Founder | Investor | SEO Geek https://t.co/12cKl6P8LS - 99th percentile WP Hosting & Management https://t.co/YcTxe4qu59 - data-driven SEO (Train, Model, Predict)


revenue grows but so does infra costs, new highs all around and my frugal mind still worrying about costs going up 30% when revenue is up 300%... so silly. this is my DB + storage bill, may switch to R2 for storage as 80% of this is pure egress cost on image and video files




Canadian investor starter pack 🇨🇦






We're simplifying our plans, and updating pricing to match what modern marketing teams need. The web is changing faster than ever, and AI is making it easier to build, manage, and grow content-rich sites. We've heard from customers that they need better ways to scale, so today we're announcing updates that do three things: - Simpler plans and updated pricing. We’re introducing a new Premium Site plan by combining the CMS and Business plans. As part of this, pricing and limits are updating across all paid Site plans. - A plan for fast-growing teams. Introducing the Team plan, an all-in-one offering for teams that have outgrown self-serve but aren't ready for Enterprise. It unlocks capabilities previously unavailable on self-serve, like AEO agents, page branching, single-page publishing, publishing workflows, and so much more. - AI as the foundation. We’re introducing AI credits and including them in every Workspace plan, so all customers have built-in access to the latest AI features they need. To learn more about these updates, visit our blog: wfl.io/48Stauj









a week with the dgx spark, here is what is on it and what i have measured so far. nobody is really talking about this machine and it is quietly becoming the workhorse of my whole stack. hardware: nvidia gb10 sm_121, 124 gb unified lpddr5x at 273 gb/s, cuda 13.0 models on disk (305 gb total, 9 ggufs): > qwen 3.6 27b q4_k_m / q5_k_m / q8_0 / ud-q4_k_xl > nemotron 3 omni 30b-a3b q4_k_m / q8_0 / ud-q6_k / ud-q6_k_xl > deepseek v4-flash 158b q4_k_m (112 gb, flagship 128gb-tier test) terminal + shell environment: > zsh + oh-my-zsh + powerlevel10k theme > modern cli stack: bat, eza, ripgrep, fd, git-delta, tldr, neovim, fzf, autojump > 6 tmux sessions actively running for parallel agent work ml + agent stack: > llama.cpp built sm_121 against cuda 13 > uv + venv ml stack with pytorch 2.11.0+cu130 (aarch64) + transformers + diffusers + accelerate > hermes agent v0.11 with codex auth bridge > opencode for free-model overnight research > telegram gateway routing to nemotron q8 right now speeds verified so far: - nemotron 30b-a3b q8: 56 tok/s gen, 1,300 tok/s prefill, 96% gpu, 33gb in unified - qwen 27b dense q4: 40 tok/s consistent 90+ gb of unified memory still free. deepseek v4-flash 158b loading next as the real flagship test, multimodal omni testing once mmproj pulls, comfyui install in flight for the diffusion lane. honestly curious what the actual limit is on this box, i have not hit it yet.






Why would anyone still use Wordpress for anything?




