The Radar
Wednesday, 15 April 2026
Today's picks
Gemini Robotics-ER 1.6
AI ResearchEnhanced embodied reasoning model for physical AI systems.
Google's latest shot at making robots actually think about the physical world. The focus on instrument reading and spatial understanding suggests they're tackling the hard problems that keep robots from working reliably in messy real environments. This could be the cognitive layer that finally makes general-purpose robots practical.
Chrome Skills
AI PlatformsSave AI prompts as reusable one-click browser workflows.
Google is turning prompts into actual software. Instead of retyping the same instructions, you save them once and apply to any website with a click. This feels like the first step towards making AI assistance feel less like chatting and more like having custom tools.
Also on the radar
TinyFish AI
AI InfrastructureFinally, someone's solving the agent plumbing problem. Instead of stitching together separate services for search, browser automation, and data extraction, TinyFish gives you everything under one API key. The kind of boring infrastructure work that makes exciting AI applications possible.
LangAlpha
AI CodingTaking the Claude Code concept and specialising it for finance feels obvious in hindsight. If you're going to let AI write code that moves money around, you want proper guardrails and domain-specific tooling. The Wall Street angle suggests they understand compliance matters as much as capability.
Plain
Developer ToolsBuilding frameworks specifically for both humans and AI agents is the kind of forward thinking we need more of. Plain recognises that code will increasingly be written collaboratively between people and machines. The dual-audience approach could set the standard for next-generation development tools.
Kelet
AI SecurityAs LLM apps get more complex, debugging becomes a nightmare of prompt chains and model interactions. Kelet promises to be the detective that figures out where things went wrong. This kind of observability tooling will be essential as AI systems move from prototypes to production.
Hacker News
Show HN: LangAlpha – what if Claude Code was built for Wall Street?
133 pts 45 commentsA specialised coding environment that takes the Claude Code concept and tailors it specifically for financial analysis and trading. Includes compliance controls and domain-specific tooling for handling financial data and algorithms.
Show HN: Plain – The full-stack Python framework designed for humans and agents
86 pts 44 commentsA Python web framework explicitly built for both human developers and AI agents to work with. Designed around the premise that future development will be collaborative between people and machines.
Show HN: Kelet – Root Cause Analysis agent for your LLM apps
43 pts 21 commentsAn AI agent designed to debug and analyse issues in LLM applications. Helps developers trace problems through complex prompt chains and model interactions in production systems.
ClawRun – Deploy and manage AI agents in seconds
29 pts 9 commentsA deployment platform specifically for AI agents that promises rapid setup and management. Appears to be targeting the operational complexity of running agent-based applications at scale.