
MarMar Labs — building AI-native apps and shipping real products. React Native, Python, and a research lab's worth of side experiments.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
support-marmar-labs
May 20, 2026 – Present
Temporary support page for MarMar Labs while GitHub Sponsors approval is pending.
View Projectmidnight-private-signal
May 10, 2026 – Present
Private Signal Board: Midnight full-stack dApp bounty scaffold with Compact contract, React UI, CLI, and metadata API
View Projectstui-terminal
May 9, 2026 – Present
A tiny Streamlit-inspired terminal UI experiment for Python.
View Projectagentbridge-protocol
April 27, 2026 – Present
An AI-native action layer that helps apps expose structured, permissioned actions for agents through manifests, MCP tools, confirmations, and audit logs.
View Projectanon-research
April 26, 2026 – Present
Claude Code skill for anonymous web research via Tor — every search and fetch uses a fresh circuit, so target sites can't link your requests to each other or back to you.
View Projectfrontier-ai-stress-test-audit
April 26, 2026 – Present
Artifacts, prompts, transcripts, and verification notes for a reproducibility-oriented audit of frontier AI systems on verifiable reasoning and code generation.
View Projectcautious-computing-machine
March 27, 2026 – Present
cautious-computing-machine — repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and diverse in nature, ranging from AI-native action layers to dApps and terminal UIs. While this demonstrates a broad interest and self-motivation, there is no information on team collaboration or experience in a structured organizational environment, which makes assessing cultural fit challenging. The projects do not directly align with typical enterprise frontend development, suggesting a potential need for adaptation to standard team workflows and product development cycles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.