500’s Demo Day Batch 17 >> TraceAir
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TraceAir uses drones and artificial intelligence to provide data and insights that can reduce errors on construction sites. Their platform captures aerial images that are analyzed using AI to detect issues and ensure plans are being properly followed. This can save the $400 billion wasted annually on construction due to errors and changes. Their revenue grew 28% month-over-month to $700k in 2016 and their team of four is led by CEO Dmitry Korolev as they work towards revolutionizing the construction industry with new data and oversight capabilities.
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Contact: http://500demoday.co
Want MOAR? Subscribe for our newsletter & event updates: http://bit.ly/1IVVcP4
500 Demo Day Batch 19: Pawprint
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500 Demo Day Batch 18: StreamLoan
This document is from Stephen Bulfer, CEO and Co-founder of StreamLoan, for a 500 Startups Demo Day presentation in October 2016. It introduces StreamLoan as making home loans simple and aims to streamline the loan process for borrowers, real estate agents, lenders, and other professionals involved by connecting them through an online platform. It provides details on StreamLoan's annual contract volume, the CEO and founding team's backgrounds, and their goal of simplifying the home loan process.
500 Demo Day Batch 19: Claim Compass
Claimcompass is a company that helps customers get compensation from airlines for flight disruptions like delays or cancellations. They have recovered $500,000 for customers in the past 90 days, generated $125,000 in revenue, and are experiencing 75% monthly growth. Claimcompass automates the claim process and takes a 25% commission of recovered funds.
500 Demo Day Batch 19: Almabase
The document describes an all-in-one platform called Almabase for alumni engagement. It notes that while 90% of US college grads donate to charity each year, only 8.2% donate to their alma mater. Almabase claims it can increase school donations by up to $200,000 in just 8 months by better engaging 1 million alumni through an integrated platform. It is seeking funding from angel investors.
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The document contains repeated contact information for Sam at Melodics and a link to their Angel.co profile. It also includes brief statements about 1 billion people quitting music after a year, spending $31 to earn $116 in returns, Melodics having 60,000 users and $20,000 in monthly recurring revenue, and a quote from DJ Jazzy Jeff comparing Melodics to working out at the gym for musicians.
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentationsObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
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