labrat

Los Angeles

🐀 RatLabs

Public data turned into working infrastructure.

One labrat. A lab full of experiments. Tools that ship.

I’m the founder of RatLabs, a one-person indie lab building maintained data tools, automation systems, and privacy-first software.

I turn difficult-to-access public data into structured infrastructure for:

customer and market research
lead discovery and demand intelligence
hiring and company signals
healthcare and pharma research
public records and regulatory data
AI agents and automated workflows

29 products and counting.

No VC. No team. No roadmap theater.

Just research, code, testing, maintenance, and shipping.

🔬 What RatLabs builds

📡 Data and intelligence tools

Real-time and structured data for research, prospecting, monitoring, and automation.

Explore my Apify Actors →

Current datasets and workflows include:

Reddit discussions and buying-intent signals
LinkedIn job listings and hiring activity
Google Maps business leads
SaaS pricing intelligence
SEC filings and company data
government contracts and public records
clinical trials and medical research
drug labels, adverse events, providers, and pharma data

Built for direct use through Apify, APIs, scheduled runs, webhooks, and MCP-compatible agents.

🧠 AI-ready research infrastructure

Tools for connecting live data to automated research systems.

I build:

MCP-compatible data tools
RAG ingestion pipelines
document chunking and embedding workflows
structured research agents
scheduled intelligence pipelines
local AI systems running on my own hardware

The goal is simple:

Give agents current, useful data without forcing users to maintain the entire extraction stack themselves.

🗄️ Privacy-first and local-first software

Not every useful tool needs an account, a cloud dashboard, or another subscription.

Projects such as RatVault, RatVault Lite, and My-Wiki are built around:

local-first storage
bring-your-own-key AI
minimal telemetry
user-controlled data
simple, inspectable systems

Your files stay yours.

🧩 Browser tools and experiments

I also ship focused browser utilities for Chrome, Edge, and Firefox.

Projects include:

LinkNest
QRNest
RatForge
RatScale

Small tools. Clear jobs. No bloated feature committees.

🧪 Featured work

Reddit intelligence

Collect Reddit discussions, discover recurring pain points, monitor competitor complaints, and identify posts showing real buying intent.

Useful for:

SaaS founders
agencies
sales researchers
product marketers
customer research teams

Hiring signals

Turn public job listings into company-level intelligence.

Use hiring activity to identify:

teams adopting new technologies
companies entering new markets
organizations building new departments
accounts showing active operational demand

Public and company records

Research companies, contracts, filings, locations, and regulatory records without manually navigating fragmented databases.

⚙️ setup (had to share 😜)

Built primarily with Python, browser automation, public APIs, local AI infrastructure, Apify Actors, MCP, and whatever else survives testing in the lab.

🛠️ How I work

Find a repetitive research problem.
Build the smallest tool that solves it.
Test it against real-world failure cases.
Ship it.
Watch it break.
Fix it.
Turn the useful experiments into maintained products.

The lab is broad by design, but the standard stays the same:

Useful output. Clear documentation. Reliable execution.

🤝 Work with RatLabs

I’m interested in problems involving:

difficult public datasets
custom web research pipelines
maintained scrapers and APIs
competitive intelligence
healthcare and pharma research
MCP tools and agent data access
local-first AI systems
private Apify Actors
automated monitoring workflows

For custom work, partnerships, or product questions:

“one rat, ∞ experiments”

— labrat-mick_

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