DoorDash

DoorDash has overtaken their competitors and achieved admirable success in only seven years of existing. The business lessons we can learn from them are spot on

How DoorDash Has Been Winning the Food Delivery War

A few years ago, food technology looked like the next big thing, but that momentum is waning. Why is food tech faltering, and what does it mean for its future?

Why Is Food Tech Seeing a Dropoff?

Workers fight for hazard pay, protective equipment, and better sick leave

How Are Gig Workers Coping During the Crisis

Food ordering industry is the one which has a huge potential. According to the research by Morgan Stanley, online food delivery comprises only less than 5 percent of the total restaurant industry.

How to Build Food Delivery App Like Zomato

Pratik Parekh revolutionized DoorDash’s ETA system with real-time ML, boosting revenue, reliability, and customer trust—zero Sev-0s for over a year.

Leadership Success Story of Pratik Mayur Parekh's DoorDash ETA Transformation

In addition to Android function calls, we expanded our evaluation to include 20 vehicle function calls, showcasing the algorithm’s adaptability

Demonstrating Adaptability: Evaluating Function Calling on Vehicle, Yelp, and DoorDash APIs

It’s almost as if creating a company with a valuation of $1B+ is the single most important goal of entrepreneurs rather than creating a profitable and sustainable business. In the on-demand food/delivery space, there’s a ton of competition and a race to take the lead. Instead of achieving this goal through pure business growth fundamentals, popular thinking seems to dictate that the easier route is to just gain <a href="https://hackernoon.com/tagged/unicorn" target="_blank">unicorn</a> status and use the value of the company as the metric of market leader. (Granted, <a href="http://techcrunch.com/2016/01/15/venture-capital-is-terrible-at-online-shopping/" target="_blank">logical VCs</a> should be funding companies that have actual solid growth metrics or at the very least a leadership team that has absolutely zero doubt in their minds that they will win no matter what.)

Lessons From DoorDash’s Unicorn Quest

CoinsBee Surpasses 5,000 Gift Card Brands, Becoming The Largest Crypto Gift Card Platform Worldwide

Here are some android function examples that would be wise for you to know

Android Function Examples That You Should Know

Looking ahead, we aim to develop a model dedicated to on-device reasoning.

The Future of Octopus v2: What Does it Entail?

LoRA plays a crucial role in our framework, particularly when integrating the Octopus model across multiple applications to ensure smooth computation.

Optimizing Function Calling Models: The Role of Dataset Size and LoRA Fine-tuning

Our study conducts a comprehensive evaluation of language model capabilities via an extensive benchmarking approach

Benchmarking Large Language Models for Function Calling: GPT-4, GPT-3.5, Llama, and Octopus

We employ the Google Gemma-2B model as the pretrained model in our framework. Our approach incorporates two distinct training methodologies

Developing Function Calling Models: Comparing Full Training and LoRA on Gemma-2B

Machine learning system design round is increasingly becoming one of the rounds of assessment at top FAANG companies for ML engineers.

Roblox Engineer Reveals How to Ace FAANG ML Interviews—From Junior to Staff+

The critical innovation presented in this paper is the introduction of the functional token.

Functional Tokens: Enhancing Language Models for Function Calling

This segment outlines our methodology for assembling datasets of superior quality for the phases of training, validation, and testing.

Dataset Generation for API Function Calls: Leveraging Google Gemini for Accuracy

In this section, we detail the primary methodology implemented in our models, followed by the dataset collection process essential for fine-tuning these models.

Detailing the Primary Methodology Implemented in Our Models: Octopus v2

Due to memory limitations and lower inference speeds, deploying larger models on edge devices like PCs or smartphones is challenging.

Efficient On-Device LLMs: Function Calling and Fine-Tuning Strategies

With system design, you never know what’ll be asked. Which makes it hard to practice.

Big Tech Loves These 45 System Design Questions—Do You Have the Answers?

Migration projects are inherently hard because they have to meet an existing bar on  customer experience.But they will provide several years worth of learning. 

Why Boring Software Migration Projects Could Be Your Secret Weapon

Do you ever feel that many job-related skills, knowledge, and expertise are becoming outdated at an almost cosmic speed nowadays?

I Asked ChatGPT What The Future of Labor Market Holds—Here's What It Said

Ever since the DeepSeek boom, all the leading AI companies have been updating their models and releasing their own AI agents left, right, and center.

DeepSeek vs ChatGPT vs Perplexity vs Qwen vs Claude vs DeepMind: More AI Agents and New AI Tools

Taneja shares insights on building scalable automation solutions with LLMs, highlighting best practices, challenges, & their impact on business processes.

Building Automation That Works: Lessons from MVPs with LLMs

Discover 8 proven ways to find your next startup idea, backed by Y Combinator success stories.

Successful Entrepreneurs Use These 8 Methods to Find Their Next Software Startup Idea

DoorDash, Inc. operates a logistics platform that connects merchants, consumers, and dashers in the United States and internationally. It operates DoorDash marketplace, which provides an array of services that enable merchants to solve mission-critical challenges, such as customer acquisition, delivery, insights and analytics, merchandising, payment processing, and customer support; and offers DoorDash Drive, a white-label logistics service; DoorDash Storefront that enables merchants to offer consumers on-demand access to e-commerce. The company was formerly known as Palo Alto Delivery Inc. and changed its name to DoorDash, Inc. in 2015. DoorDash, Inc. was incorporated in 2013 and is headquartered in San Francisco, California.

DOORDASH

doordash.com

Since 2013

Worth 50B

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DOORDASH

doordash.com

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Worth 50B

DoorDash's Related Companies

2010

220B

2000

25B

3%

2011

7B

2014

2012

2018

2015

2019

2014

2014

1992

3%

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