Explore 2507+ AI Developers (page 58)
codejunkie99
codejunkie99 builds agentic-stack, a portable agent brain layer for coding-agent harnesses. The project is authored by [@AV1DLIVE](https://x.com/Av1dlive) and coded using Minimax-M2.7 in the Claude Code harness. It focuses on harness-agnosticism, letting developers maintain a single memory-and-skills layer across tools like Claude Code, Cursor, Windsurf, and Codex.
Paperplane Labs
Paperplane Labs is a software studio that transforms manual workflows into automated digital systems and builds AI-powered browser experiences that prioritize data ownership.
Lazyweb
Agent-first design research platform that provides AI agents and product designers with a massive library of app screens and opinionated design research skills.
1weiho
1weiho builds open-source developer tools focused on AI-native workflows. The open-slide project delivers a React-based slide framework designed from the ground up for coding agents, enabling natural-language-driven presentation creation. The project is MIT-licensed and actively maintained on GitHub.
Lars Kappert
Independent frontend architect and automation engineer dedicated to solving complex problems through clean code, automation, and high-performance tooling.
Bandits
BANDITS builds secure, rapidly deployable AI modules and systems that automate business processes and help companies become AI-first.
Leadex
Leadex is a chat-native B2B lead research AI agent that tracks web signals like hiring and funding to build enriched, CRM-ready contact lists from plain-English prompts.
Ai Search Inc.
iAsk.ai is an advanced AI search engine that delivers instant, accurate, and factual answers, aiming to replace traditional link-based search with direct knowledge retrieval.
NahimNasser
NahimNasser builds open-source developer tools focused on portability and simplicity. The pu.sh project emerged from 30+ experiments to find the most portable agentic coding harness that can run anywhere. The work prioritizes zero-dependency design, inspectability, and composability over feature bloat.
MLJAR
MLJAR makes data science accessible, transparent, and efficient by providing tools that focus on insights rather than infrastructure.