NZ ☄️ @CodeByNZ
AI Insider / Tracking the race to AGI Startups • Agents • Open Source Sharing what matters before it goes mainstream 127.0.0.1 Joined August 2024-
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Underrated AI marketing tools you’re missing out on: • @HubSpot: Automate lead follow-ups • @Mailchimp: Personalise email campaigns • @canva: Generate marketing visuals • @semrush: Find SEO content opportunities • @buffer: Generate and repurpose social posts Which tool did I miss?
AI Coding tools worth knowing: • Cursor (@cursor_ai) — AI IDE for building and editing across your codebase. • Devin (@cognition) — autonomous agent that can take a task from code to PR. • GitHub Copilot (@GitHubCopilot) — coding assistant and agent built around GitHub
AI Coding tools worth knowing: • Cursor (@cursor_ai) — AI IDE for building and editing across your codebase. • Devin (@cognition) — autonomous agent that can take a task from code to PR. • GitHub Copilot (@GitHubCopilot) — coding assistant and agent built around GitHub workflows. • Cline (@cline) — open-source coding agent that can edit files and run commands. • Aider (@paulgauthier) — terminal-first AI coding assistant that works directly with Git. • Kiro (@amazon) — agentic IDE built around specs before implementation. Which coding tool did I miss?
@krishdotdev i like the fact that you made pes5 part of setup 😂 Krish
Encrypted . Fast . American Only 🇺🇸
"What you’d plan at 2,000 GPUs with another provider, you’d run with us at 1,000." — Richard Rizk, Co-Founder & CTO BLACKBOX optimization. More tokens per GPU. GLM 5.3 · 461 t/s Kimi K3 · 292.6 t/s Nemotron 3 Ultra · 454 t/s Nemotron 3.5 Lightning · 1,200 t/s That’s the
on @blackboxai you don't need a team to optimize inference on your own workload you can simply upload a dataset of your workload and within 24h-48h you have your own custom inference engine that works best for on your data better then the best inference provider performance you don't need to use off the shelf vllm or sglang and you don't need to over pay for FDE's you can run it on Blackbox just like you run finetuning jobs but for your own custom inference engine
@kaif9998 10,479 tok/s/gpu on zero-2 is insane, starred
@blackboxai half the GPUs and still hitting these numbers?? been on the CLI daily so this genuinely excites me lol
US open source E2EE inference on @blackboxai is the right solution 100% of the time everytime
"What you’d plan at 2,000 GPUs with another provider, you’d run with us at 1,000." — Richard Rizk, Co-Founder & CTO BLACKBOX optimization. More tokens per GPU. GLM 5.3 · 461 t/s Kimi K3 · 292.6 t/s Nemotron 3 Ultra · 454 t/s Nemotron 3.5 Lightning · 1,200 t/s That’s the standard. 🫡
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