Hey everyone, I'm a bit bad at introductions - I'll keep this short. My name is Mahmoud, building the first GTM design studio for B2B SaaS seed's fundraising MVPs for startups through design. I found a problem, and I'm sticking to solving it. What I saw: - Engineers ship fast, but they struggle with MVPs for non-technical users in a clear product infra. - Founders see their product solving 2026's problem, but their visual stuck in the 20's. - Designers don't understand engineers, so the product UI gets lost. - Design become expensive and no cost efficiency offered. That's why, I'm currently building Debrand.me with a mission. I built YC-backed products in EU and US. Helped engineers fundraise their AI products. I design to help others land costumers not expand my portfolio. Why I'm here: - Too bad in automation, I want to build a system to help me scale my outreach. - I don't want to hire externally; I prefer to understand the system on my own. What I can be supportive with: - Any dude building a product but doesn't know how to scale it 'visually' - Auditing ideas and PMFs so you don't pitch dated product. - Find you a competitive advantage. Sorry for the long post. pleasure to be here.

Been playing with Clawdbot this week and wanted to share my hands-on experience with what works (and what doesn't) after running several real tests. Quick context: Clawdbot is that open-source "AI employee" everyone's been talking about lately. It can access your local files, calendar, and various apps through integrations. I've been testing it extensively to cut through the hype. Here's what I found actually works well: - Notion integration is solid (created and managed a Kanban board seamlessly) - Spotify control works surprisingly well (played specific songs on command) - Basic file operations and text generation are reliable - API integrations (when properly set up) generally work as advertised What's still rough: - Browser control is hit-or-miss - Voice cloning setup is more complex than advertised - Some integrations require significant troubleshooting - Response times can be slow I'm focusing more on learning Claude Code for now, but I'd love to hear from others who've tested Clawdbot. Have you found any particularly useful applications? Or is it still too early/rough for serious use? I'll keep testing and share more specific use cases soon. Drop your thoughts below if you've tried it! https://youtu.be/QoFg9HA6BsM?si=yeDqsoNNblytYhtW

Claude Sonnet 5: The “Fennec” leaks: Fennec Codename: Leaked internal codename for Claude Sonnet 5, reportedly one full generation ahead of Gemini’s “Snow Bunny.” Imminent Release: A Vertex AI error log lists claude-sonnet-5@20260203, pointing to a February 3, 2026 release window. Aggressive Pricing: Rumored to be 50% cheaper than Claude Opus 4.5 while outperforming it across metrics. Massive Context: Retains the 1M token context window, but runs significantly faster. TPU Acceleration: Allegedly trained/optimized on Google TPUs, enabling higher throughput and lower latency. Claude Code Evolution: Can spawn specialized sub-agents (backend, QA, researcher) that work in parallel from the terminal. “Dev Team” Mode: Agents run autonomously in the background you give a brief, they build the full feature like human teammates. Benchmarking Beast: Insider leaks claim it surpasses 80.9% on SWE-Bench, effectively outscoring current coding models. Vertex Confirmation: The 404 on the specific Sonnet 5 ID suggests the model already exists in Google’s infrastructure, awaiting activation.

OpenAI released a standalone macOS app for Codex that treats multiple AI agents like a team you're managing, not a chatbot you're prompting. The automation and cron job features feel like a decent replica of OpenClaw, and it feels like OpenClaw lite. ***For a limited time (reportedly two months), Codex is available to ChatGPT Free and Go users, with doubled rate limits for Plus, Pro, Business, Enterprise, and Edu plans.*** Highlights: - Multi-Agent Orchestration - Agents run in separate threads organized by projects with built-in worktree support so multiple agents can work on the same repo without conflicts. - Skills System - Pre-built workflows for common tasks like implementing Figma designs, triaging bugs in Linear, deploying to cloud hosts, and generating images. You can explicitly invoke skills or let Codex auto-select based on context. - Automations with Scheduling - Set agents to run background tasks on automatic schedules—daily issue triage, CI failure summaries, release briefs, bug checks. Results land in a review queue so you can jump back in when needed without blocking your main workflow. - Plan Mode & Personalities - New "plan mode" lets Codex read through complex changes in read-only mode and discuss with you before executing. Customizable personalities (pragmatic, empathetic, terse) adjust how the agent communicates, accessible via the /personality command.

*** For those who don't want to go through a "complicated" setup, use a terminal, or worry about any config files... or buy a Mac mini. 🤑 ... but want to jump on a bandwagon and try OpenClaw 🦀 for themselves. Here’s what you can do: - Go to the OpenClaw Lightning environment - Click on “Clone” - Your instance opens up in your IDE of choice From there, you can connect it to WhatsApp or Telegram and control your assistant from your mobile. This turns hours of installation and configuration into just minutes. Why is this important?! This keeps everything in a secure sandbox environment, off your local machine. Clawdbot is fun and powerful, but you should NEVER give it access to your main machine.