
Oleg Puzanov
635 posts



56,000+ tokens/sec at just 80 MHz. 🤯 I burned a full Transformer with KV cache into a custom chip. Designed gate by gate as a 100% digital integrated circuit. Prototyped on a FPGA. (No GPU. No CPU) Just pure digital silicon running @karpathy microGPT, spelling out names on a tiny LCD. This is GateGPT 👇


you can build production AI agents with GPT-5.5, grok 4.20, AND kimi k2.6 - 500 runs/month for FREE 😳 no credit card, google login works. stackai were acquired by asana last year and just opened up their free tier what you get for $0: - 500 agent runs per month (resets monthly) - GPT-5.5, grok 4.20, kimi k2.6, claude, gemini, 30+ model providers - visual drag-and-drop workflow builder (no code needed) - RAG from documents, web, google drive, notion - multi-modal: vision, text-to-speech, speech-to-text - logic nodes: python, javascript, code execution - browser extension, slack bot, REST API access - 2 projects, 1 seat what sets it apart from other free agent builders: - founded by MIT PhDs, backed by $16M series A - acquired by asana - not a random startup - 100+ enterprise integrations (salesforce, sharepoint, snowflake) - human-in-the-loop oversight - SOC 2 / HIPAA / GDPR compliance even on free tier - switch models per step in your workflow how to get started (3 min): > go to stackai.com > sign up with google - no credit card > create a new project > pick your model (GPT-5.5, grok, kimi, claude, whichever) > build your agent with the drag-and-drop editor > publish and use the chat UI or API endpoint important: - 500 runs/month limit - fine for testing and prototyping - 2 projects cap - enough to experiment - you can use temporary emails for multiple accounts to extend runs - no production SLA, this is for building and learning - runs reset monthly, not daily visual agent builder + 5 frontier models + enterprise integrations = $0 while everyone else pays $20/mo for each model subscription bookmark this before the free tier changes

opencode published their real model usage data. what developers actually run when they're paying for it: 1. deepseek v4 flash: 32T tokens 2. deepseek v4 pro: 19T tokens 3. kimi k2.6: 6.5T tokens deepseek is running more tokens than the next 16 models combined. it's actual usage from developers spending their own money. glm-5.1 grew 419% too. the models winning on price and reliability aren't always the ones winning on twitter.
















