Sean Falconer
AI Pipelines with Maxime Armstrong and Yuhan Luo
LLMs are becoming more mature and accessible, and many teams are now integrating them into common business practices such as technical support bots, online real-time
Humane with George Kedenburg III and Josh Dickens
The Humane pin is a multi-modal wearable device designed by Humane Inc., a startup co-founded by former Apple employees Imran Chaudhri and Bethany Bongiorno. This
AI Data Analytics at Google with Gerrit Kazmaier
Google needs no introduction, and is renowned for its data and analytics capabilities. Gerrit Kazmaier is the VP and GM for Database, Data Analytics and
Lekko and Dynamic Configuration with Konrad Niemiec
Feature flagging tools have grown in popularity as a way to decouple releases and deployment, but they can introduce their own long-term problems and tech
How Google Sheets Uses WasmGC with Michael Thomas and Thomas Steiner
The Google Sheets calculation engine was originally written in Java and launched in 2006. In the early days of the product, all calculation happened on
Developer Productivity with Damien Filiatrault
Damien Filiatrault is the founder and CEO of Scalable Path, a software staffing agency that matches companies and startups with vetted, remote software developers. The
AI Research at Capital One with Bayan Bruss
A major challenge in applied AI is out-of-distribution detection, or OOD, which is the task of detecting instances that do not belong to the distribution
Chroma’s Vector Database with Anton Troynikov
Chroma is an open-source AI application database. Anton Troynikov is a Founder at Chroma. He has a background in computer vision and previously worked at
Uber’s LedgerStore and its Trillions of Indexes with Kaushik Devarajaiah
Uber handles billions of trips and deliveries, and tens of billions of financial transactions across drivers, couriers, users, and merchants every quarter. LedgerStore is an
C++ Static Analysis with Abbas Sabra
Static analysis is the examination of code without executing the program. It’s used to identify potential errors, code quality issues, security vulnerabilities, and adherence to
AI at Redis with Brian Sam-Bodden
Redis is an in-memory database that can be used for caching, vector search, and as a message broker. Brian Sam-Bodden is a Senior Applied AI
One Year of ChatGPT with Christian Hubicki
ChatGPT has been out for more than a year and has since become the centerpiece of intense discussion and debate about AI. Christian Hubicki is
The Challenge of API Design with Lauren Long
A common challenge for developers of SaaS products is integrating with existing services, including services that customers might already be using. For example, a SaaS
DataStax with Ed Anuff
DataStax is a generative AI data company that provides tools and services to build AI and other data-intensive applications. Ed Anuff is the Chief Product
Unstructured Data and LLMs with Crag Wolfe and Matt Robinson
The majority of enterprise data exists in heterogenous formats such as HTML, PDF, PNG, and PowerPoint. However, large language models do best when trained with
Detecting Deepfakes with Ryan Ofman
A deepfake is a synthetic media technique that uses deep learning to create or manipulate video, audio, or images to present something that didn’t actually
Microsoft Copilot with Justin Harris
Microsoft Copilot is a chatbot developed by Microsoft that launched in 2023 and is based on a large language model. Justin Harris is a Principal
LLMs for Data Queries with Sarah Nagy
One of the most promising applications of large language models is giving non-experts the ability to easily query their own data. A potential positive side
Scaling Large ML Models to Small Devices with Atila Orhon
The size of ML models is growing into the many billions of parameters. This poses a challenge for running inference on non-dedicated hardware like phones
Using LLMs for Training Data Preparation with Nihit Desai
Machine learning models learn patterns and relationships from data to make predictions or decisions. The quality of the data influences how well these models can
Database Scaling at Figma with Sammy Steele
Sammy Steele is a Senior Staff Engineer at Figma, and the tech lead for their databases team. She previously worked at Dropbox, where she built
Hookdeck and Building an Event Gateway with Alex Bouchard
Event-driven architecture is a software design pattern where system components communicate through events that are generated by producers, and pushed to consumers. This design is
Data Applications on Snowflake with Daniel Myers
Snowflake is one of the most prominent platforms for interacting with data and building data-intensive applications. Dan Myers works in Developer Relations at Snowflake and
Building the PyCharm IDE at JetBrains with Paul Everitt
Python is famed for it’s intuitive syntax, powerful standard library, and rich ecosystem of packages and frameworks. It’s also dynamically typed which is part of
C# Compiler and Language Design at Microsoft with Jared Parsons
Language and compiler design are fundamental aspects of computer science. High-level languages are how most developers interact with computers, so it’s hard to overstate the
Biotech Special: Life Science Data Analysis with Nicholas Larus-Stone
Sphinx Bio develops computational tools to accelerate scientific discovery. The company is focused on addressing the computational data analysis bottleneck by enabling scientists to do
Biotech Special: Computational Drug Discovery with Patrick Finneran
Proteins are nanomachines inside cells and perform the incredible array of tasks required for cells to function. They are composed of a chain of hundreds
Biotech Special: Life Sciences at Snowflake with Harini Gopalakrishnan
The growing use of large datasets and ML in the life sciences has created new demand for data technologies. Snowflake is a cloud-based data warehousing
Biotech Special: Scientific Computing Pipelines with Evan Floden
NextFlow is a tool for managing scientific computation workflows. It’s increasingly popular for bioinformatics, computational biology, and other life science applications. Evan Floden is the
Biotech Special: AI Protein Engineering with Eddie Abrams
Antibodies are a type of protein molecule produced by the immune system. They recognize and attach to other molecules with remarkable precision. Typically antibodies target
Biotech Special: ML at Recursion with Jordan Christensen and Imran Haque
Recursion is at the leading edge of applying AI and ML to drug development. The company exemplifies a new wave of “techbio” companies, that tightly
NVIDIA and the Future of 3D Development with Aaron Luk
Producing 3D films, games and simulations is a complex process, often involving multiple teams and tools. At Pixar, pipeline engineers needed to write lots of
Biotech Special: a16z and the Biotech Revolution with Vijay Pande
There is a revolution unfolding in biotech. The confluence of new biological methods like CRISPR, virtually unlimited computational capacity, and machine learning has fundamentally transformed
Building a Data Lake with Adam Ferrari
Starburst is a data lake analytics platform. It’s designed to help users work with structured data at scale, and is built on the open source
Vercel AI with Lee Robinson
Vercel provides a cloud platform to rapidly deploy web projects, and they develop the highly successful Next.js framework. The company recently made headlines when they
Algolia with Sean Mullaney
Algolia is a platform that provides search as a service. The company was founded in 2012, was part of Y Combinator’s Winter 2014 class, and
JetBrains AI with Jodie Burchell
Jodie Burchell is the Data Science Developer Advocate at JetBrains, which makes integrated development environments or, IDEs, for many major languages. After observing the rapid
Pinecone Vector Database with Marek Galovic
An embedding is a concept in machine learning that refers to a particular representation of text, images, audio, or other information. Embeddings are designed to
Vespa.ai with Jon Bratseth
Vespa is a fully featured search engine and vector database, and it has integrated ML model inference. The project open sourced in 2017, and since
GitHub Copilot with Joseph Katsioloudes
GitHub Copilot is an AI tool developed by GitHub and OpenAI to assist software developers by autocompleting code. Copilot kicked off a revolution in software
Weights & Biases with Chris Van Pelt
Machine learning model research requires running expensive, long-running experiments where even a slight mis-calibration can cost millions of dollars in underutilized compute resources. Once trained,
Hugging Face with Sayak Paul
Hugging Face was founded in 2016 and has grown to become one of the most prominent ML platforms. It’s commonly used to develop and disseminate
Sofascore with Josip Stuhli
If you’re a sports fan and like to track sports statistics and results, you’ve probably heard of Sofascore. The website started in 2010 and ran
Shopify with Mike Shaver
Shopify is an e-commerce platform focused on enabling small businesses to sell online. The company was founded in 2006 and since then has become a
The Astro Framework with James Quick
Frontend web frameworks are software toolkits that handle many of the low-level and repetitive aspects of building a website. These frameworks have made it easier
Temporal with Max Fateev
There are countless real world scenarios where a workflow or process has multiple steps, and some steps must be completed before others can be started.
GitBook with Addison Schultz
Documentation is something that everyone knows is important but it’s often difficult to get right. On software teams, good documentation can help to onboard
Streamlit with Amanda Kelly
The importance of data teams is undeniable. Most companies today use data to drive decision-making on anything from software feature development to product strategy, hiring
Postman and the Growth of APIs with Joyce Lin
If you’re a developer, you’ve probably worked with an API, or application programming interface. An API is a set of rules for how to communicate
Flightcontrol and Going Beyond Heroku with Brandon Bayer
A platform as a service, or PaaS, is the concept of a complete development and deployment environment in the cloud. One of the best examples
Stack Overflow in the AI era with Ellen Brandenberger
When StackOverflow launched in 2008 it lowered the barrier to writing complex software. It solved the longstanding problem of accessing accurate and reliable programming knowledge
Ethical GPTs with Amruta Moktali
Generative pre-trained transformer models, or GPT models, have countless applications and are being rapidly deployed across a wide range of domains. However, using GPT models
Customer-facing Analytics with Tyler Wells
The state of Data inside most companies is chaotic. It takes significant time and investment to tame this chaos. When you are a platform provider
Data Reliability with Barr Moses and Lior Gavish
As companies depend more on data to improve digital products and make informed decisions, it’s crucial that the data they use be accurate and reliable.
Shift Conference with Ivan Burazin
In the Software Industry, Conferences are crucial for developers, offering learning, networking, and collaboration opportunities. Attendees stay updated on the latest technologies, gain new skills,
Early Stage Venture Capital with Astasia Myers
Astasia is a Partner on Quiet Capital’s enterprise team. Prior to joining Quiet, she was an investor on Redpoint Venture’s early stage enterprise team. Astasia
Bug Reporting is Broken and how Jam is Fixing that with Dani Grant & Mohd Irtefa
Bug reporting hasn’t changed since the 1990’s. Despite all the technological advancements we’ve made in the rest of software development, the way we handle bugs
Pre-configured Development Environments with John Craft and Ramiro Berrelleza
In this episode we have two guests Ramiro Berrelleza is the founder and CEO of Okteto, a developer tool that helps you create production like
Platform Engineering with Luca Galante
The increasing complexity of modern cloud-native architectures has led to the emergence Platform Engineering. This practice involves the development and upkeep of an integrated product,
Surviving ChatGPT with Christian Hubicki
ChatGPT is an artificial intelligence language model developed by OpenAI. It is part of the GPT (Generative Pre-trained Transformer) family of models, which are designed
Creating Mock APIs with Tom Akehurst
API mocking is a technique used to simulate the behavior of an API without actually connecting to the real API. It is useful for various
Pebblebed with Keith Adams
Keith Adams has worked previously at Facebook and has also been a Chief Architect at Slack. He joins us today to discuss technology, startups, investing,
Webhooks at Scale with Alexandre Bouchard
Webhooks are used in connecting two different online applications. Webhooks allow one program to send data to another as soon as a certain event takes
Open Source Software Lifecycle Management and Security with Varun Badhwar
In this episode we talk with Varun Badhwar, Founder and CEO of Endor Labs. Show host: Sean Falconer Transcript
Startup Investing with Ashmeet Sidana
Silicon Valley has many investors and Venture Capital firms, but most are not trying to solve hard technical problems. Engineering Capital partners with companies that
Modernizing the Monolith with Moti Rafalin and Amir Rapson
Java Applications became the go-to preference of most developers because of the write-once-run-anywhere advantage it gave over other languages. And it didn’t take much time
Secure Workflows on Sensitive Data with Amruta Moktali
With an increasing number of data breaches impacting customer trust, prioritizing data privacy and security is more important than ever. However, as you layer on
Collaborative Notebooks for DevOps and SRE with Micha Hernandez
The complexity of the software infrastructure has been increasing as companies have migrated towards kubernetes, containers, microservices and other distributed systems. However the tools around
Accessing Data at Scale with Justin Borgman
The Presto/Trino project makes distributed querying easier across a variety of data sources. As the need for machine learning and other high volume data applications
Building on the Data Cloud with Torsten Grabs
Building and managing data-intensive applications has traditionally been costly and complex, and has placed an operational burden on developers to maintain as their organization scales.
The Quantum Leap with Dmitri Maslov
The classical computing power has doubled every two years – a pattern known as Moore’s law. However, the ability to fabricate more and more transistors
Open Source Authentication with Advait Ruia and Rishabh Poddar
Passwordless Authentication is a technique in which users are given access to an environment without entering a password or answering a security question. This allows
Edge Impulse with Daniel Situnayake
Today, we spoke with Daniel Situnayake of Edge Impulse. We discussed AI, machine learning, edge devices, TinyML and AI tool chain.
Bridgecrew: Cloud Security with Guy Eisenkot
Cloud computing provides tools, storage, servers, and software products through the internet. Securing these resources is a constant process for companies deploying new code to
Mental Health in Tech with Andy Johns
Software engineering can be a surprisingly grueling career. It is both physically and mentally demanding to sit in front of a screen for hours on
Permissions and Access-control with Or Weis
Permissions are Hard! And they are becoming harder as we move more into the Cloud-native ecosystem. If we go back in time to the point