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It’s Wednesday, February 4th: This week, we look at OpenAI’s new Codex App for parallel agent orchestration, Eleven v3’s leap in emotional text-to-speech, and OpenClaw’s rise as the viral open-source assistant for your favorite chat apps, plus standout roles on teams building the future of robotics and GPU infra.

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In Today’s Top Tools, we spotlight some of the most innovative, creative AI apps that we recommend adding to your stack.

1ļøāƒ£ šŸš€ Codex App

OpenAI’s command center for agentic coding.

OpenAI just launched the Codex desktop app for macOS — a native interface for managing multiple coding agents in parallel. With built-in worktrees and cloud environments, agents work on isolated copies of your code simultaneously, completing weeks of work in days. Skills extend Codex beyond code generation to Figma-to-UI conversion, Linear bug management, and cloud deployment. Automations run unprompted in the background: issue triage, CI failure summaries, release briefs.

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My Take: This is OpenAI’s response to Claude Code’s virality. No official statement, but the timing and press framing make it obvious — multiple outlets describe it as OpenAI ā€œcatching upā€ to Anthropic’s lead in agentic coding UX. Claude Code is terminal-native and scriptable; Codex App is a GUI orchestrator for multi-agent workflows. Different philosophies, now direct competitors.

šŸ—£ļø Eleven v3

ElevenLabs’ most expressive text-to-speech model.

Eleven v3 is now out of alpha and generally available — with 68% fewer errors on numbers, symbols, and technical notation across 70+ languages. The model introduces audio tags for emotional control: direct voices to whisper, laugh, shout, or act sarcastic inline. A new Text-to-Dialogue API weaves multiple speakers into seamless conversations with automatic transitions and interruptions.

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My Take: I’ve been using v3 in beta — the expression controls are unmatched, and it’s my favorite voice interface right now. Incredibly easy to work with. For audiobooks, character-driven content, and media production, this is the most controllable TTS available. (Note: not optimized for real-time yet — v2.5 Turbo remains the pick for conversational AI.)

šŸ¦ž OpenClaw

Open-source personal AI assistant for chat apps.

OpenClaw (formerly Clawdbot, then Moltbot) is the viral open-source AI assistant that hit 100K+ GitHub stars in just a few days. It runs locally on your machine and connects to WhatsApp, Telegram, Slack, Discord, Signal, and iMessage — turning any chat app into a command interface for an autonomous agent. It manages email, calendars, browser automation, file operations, and shell commands with persistent memory across sessions. The community-driven skill system lets it self-improve by writing its own code.

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My take: I’ve tried OpenClaw on Mac Mini and on a remote server — and I slowly added access after ensuring security protocols. This requires caution. Security researchers have flagged risks with misconfigured deployments, leaked credentials, and malicious skills. For power users who understand the risks, this is the closest thing to JARVIS we’ve seen.

We’re hosting a webinar on OpenClaw safety and setup later today if you want to go deeper.

Here are a few standout opportunities from companies building at the edge of AI. Each role is selected for impact, growth potential, and relevance to our community.

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Director of Software & Product, SnapMagic, Redwood City (YC S15) AI copilot for electronics design, reaching 2M+ engineers annually. Now building SnapMagic Copilot on a proprietary dataset of 10M+ components. Looking for a hands-on builder to own LLM workflows, recommendation systems, and a high-traffic platform. Phase 1: build and ship personally. Phase 2: hire and lead a team. Hybrid (M/W/F in office). 6+ years, US only.

šŸ’° $200K–$250K + 0.50%–1.00%

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Machine Learning Intern, Human Archive, SF / Remote US (YC W26) Robotics data lab founded by Stanford and Berkeley dropouts, collecting multimodal datasets for frontier robotics labs. You’ll build VLA model benchmarking, annotation pipelines, and data platform tooling. This is a path to founding engineer — not a summer role. Looking for mission-driven early-career engineers or exceptional dropouts.

šŸ’° $6K–$10K/month

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Founding GPU Kernel Engineer, SF Tensor, San Francisco (YC F25) Building infrastructure for AI labs: a Kernel Optimizer, cross-cloud compute layer, and a new high-performance language (Emma Lang). You’ll hand-tune GPU kernels, profile at the microarchitectural level, and turn optimization insights into compiler passes. Backed by Susa, PG, and founders of Neuralink and Notion. New grads ok, US only

šŸ’° $285K–$315K + 1.25%–2.00%

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Founding Engineer, Caddy, New York (YC F25) Voice interface that learns how you work and acts on your behalf — email, calendar, Slack, Linear, Notion. Built by the team behind Loom’s AI. Second engineer owning real-time voice → intent → action workflows and stateful agent systems. TypeScript required, Swift/Obj-C a plus. In-person (SoHo), new grads ok, US only.

šŸ’° $120K–$180K + 0.50%–1.30%

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Operations Manager, Human Archive, India (YC W26) Same robotics data lab. This role owns field operations end-to-end: sourcing site partnerships, deploying field teams, managing kit logistics, and ensuring data quality from real-world labor environments. Looking for early-career operators (1–5 years) or exceptional dropouts. US visa not required.

šŸ’° ₹1.5M–₹3M INR

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About the Authors

Noah is a researcher, innovation strategist, and ex-founder thinking and writing about the future of AI. His work and body of research focus on aligning governance strategies to anticipate transformative change before it happens.

About AJ Green

AJ Green is a founder, writer, VC scout, chairman, and respected community leader in the AI and startup space. A former athlete turned tech entrepreneur, AJ is on a mission to make AI the great equalizer scaling startups, connecting ecosystems, and turning disruption into opportunity.

About Joy Dong

Joy is a news editor, writer, and entrepreneur at the forefront of the emerging tech landscape. A former educator turned media strategist, she demystifies complex systems to make AI and blockchain accessible for all. Joy is on a mission to explore how decentralized technology and artificial intelligence can be leveraged to build a more innovative and transparent future.

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