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Overview
Research and infrastructure for representational accuracy in human-AI systems. The Behavioral Specification is the interpretive layer above retrieval that supplies the framework facts are read through. Empirical foundation: the Beyond Recall preprint (Gulaya 2026). Open source under Apache 2.0.
News
Beyond Recall: Behavioral Specification as an Interpretive Layer for AI Personalization
A study of how a structured Behavioral Specification of how a person reasons changes what AI memory systems can do. 14 historical autobiographies, 5-judge calibrated panel, 5 memory systems compared. Preprint.
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Report
These Are the Best Base Layer Deals for Skiing, Snowboarding, and Everyday Winter Wear
Base layers from top brands like Under Armour, Patagonia, Adidas, and Smartwool are on sale now to help you build your winter wardrobe.
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By The Numbers: What's the Best Base Layer Fabric? Wool vs. Alpaca vs. Polyester
We compare merino, merino blends, alpaca, and polyester fabrics as part of a framework to help hikers choose the best base layer.
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REVIEW KLIM Tactical Armored Base Layer
The KLIM Tactical Base Layer is a must-have for every rider's kit. Read our hands-on review to learn about the design, comfort, and protection this under layer offers.
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Technologies
Tech DNA
Python
SQL
JavaScript
FastAPI
PostgreSQL
BigQuery
Google BigQuery
GCP
Google Cloud Run
Cloudflare
LLM
AI/ML
Python
SQL
Embeddings
GCP
Google Cloud Run
AI Agents
PostgreSQL
Braintrust
Function Calling
LangSmith
LLM
LLM Evaluation
Spark
SQLAlchemy
SQLModel
Vector
Cloudflare
Fastly
BigQuery
Google BigQuery
Kafka
Snowflake
Model Context Protocol
Platform Engineering
Other
JavaScript
TypeScript
FastAPI
Apache Kafka
GDPR
SOC 2
ETL/ELT
Stack modernity
74/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Embeddings
5 jobs
Required
Python
4 jobs
Required
GCP
3 jobs
Required
Google Cloud Run
3 jobs
Required
AI Agents
2 jobs
Required
SQL
2 jobs
Required
PostgreSQL
2 jobs
Required
FastAPI
2 jobs
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
20%
JavaScript
15%
AI Agents
15%
TypeScript
14%
SQL
14%
LLM
14%
Share of companies in the same industry that use each technology.
Stack changes
Spark
Sep 2026
SOC 2
Sep 2026
Snowflake
Sep 2026
Kafka
Sep 2026
Google BigQuery
Sep 2026
GDPR
Sep 2026
ETL/ELT
Sep 2026
BigQuery
Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Growth
Hiring Momentum
56/100
Growing
Open positions
5
0 opened / 0 closed in 30 days
Median time-to-fill
30 days
faster than 43% of the market
ATS activity
Every ~19 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Backend
40% ▲
AI/ML
30% ▲
Product
20% ▲
Data Science
10% ▲
Activity Timeline
Added Model Context Protocol to stack
Aug 2026
Added LLM Evaluation to stack
Aug 2026
Added SQLModel to stack
Aug 2026
Added SQLAlchemy to stack
Aug 2026
Added Fastly to stack
Aug 2026
Added Cloudflare to stack
Aug 2026
Added TypeScript to stack
Aug 2026
Added Platform Engineering to stack
Aug 2026
Added LLM to stack
Aug 2026
Added LangSmith to stack
Aug 2026
Added Function Calling to stack
Aug 2026
Added Braintrust to stack
Aug 2026
Jobs
≈ $94k – $211k per year (Estimated) • In office • 1+ year exp • San Francisco
Python
SQL
Apache Kafka
BigQuery
Google BigQuery
Kafka
Snowflake
AI/ML
Embeddings
Spark
DevOps
GCP
Google Cloud Run
Cybersecurity
GDPR
SOC 2
Analytics
ETL/ELT
Apply
≈ $156k – $281k per year (Estimated) • In office • Full-Time • 5+ years exp • San Francisco
AI Agents
Embeddings
Apply
≈ $156k – $281k per year (Estimated) • In office • San Francisco
Python
SQL
FastAPI
Databases
PostgreSQL
AI/ML
Embeddings
DevOps
GCP
Google Cloud Run
Vector
Apply
≈ $157k – $305k per year (Estimated) • In office • San Francisco
Python
FastAPI
SQLAlchemy
SQLModel
Databases
PostgreSQL
AI/ML
AI Agents
Embeddings
DevOps
Cloudflare
Fastly
Google Cloud Run
GCP
Apply
≈ $159k – $308k per year (Estimated) • In office • San Francisco
Python
Braintrust
Embeddings
Function Calling
LangSmith
LLM
LLM Evaluation
Apply

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