QuantLayer Podcast

Vikram Ramakrishnan and Faizaan Shamsi
QuantLayer Podcast

In this podcast, hosts Vikram Ramakrishnan and Faizaan Shamsi, partners at the software consultancy QuantLayer, talk to investors and builders of the cryptocurrency arena. We discuss how industry participants think about crypto assets, how they uncover fraud in the market, and which technologies will turn the budding, nascent crypto space into the revolutionary powerhouse early market participants had hoped for.

  1. Cloud Computing at the Edge: An Overview of Fastly (FSLY)

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    Cloud Computing at the Edge: An Overview of Fastly (FSLY)

    Edge computing is a topic that isn’t getting enough coverage. We’ve covered CDNs like CloudFlare before, but we wanted to look at Fastly, an edge computing player that went public early in 2019. On this episode, we cover edge computing topics like rapidly purged caching. We run through a few case studies of the value edge computing brings some of Fastly’s customers. We discuss major risks that the company might face and postulate on why we think they’re trading at a discount compared to other SaaS companies like CloudFlare ($NET) and Elastic ($ESTC). Topics: QuantLayer Mission Statement Analysis Case studies they mention in their prospectus On their section called, "Our Solution: The Developer's Edge" How they categorize their strenghts Who are their competitors and how to they sit there Major differences versus Cloudflare On their sections called, "Factors Affecting Our Performance" Faizaan's major concerns about Fastly Links: Prospectus - https://www.sec.gov/Archives/edgar/data/1517413/000119312519150526/d702138d424b4.htm Latest 10Q - https://www.sec.gov/ix?doc=/Archives/edgar/data/1517413/000151741319000022/fsly-10qx93019.htm Fastly is An Under Appreciated Growth Story - https://www.cmlviz.com/2019/11/12/FSLY/fastly-nyse-fsly-is-an-under-appreciated-growth-story.html Fastly Blog - https://www.fastly.com/blog/build-on-fastly-with-code-blocks-and-tutorials

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  2. Chips, Chips, Chips: Canaan Mining, NVIDIA, AMD, ASICs, GPUs, AI and ML chipmakers

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    Chips, Chips, Chips: Canaan Mining, NVIDIA, AMD, ASICs, GPUs, AI and ML chipmakers

    Recently, there has been a lot of recent interest in customized semiconductors. Bitcoin mining has highlighted the interest in ASICs, or application specific chips, and as we move up the customized application layer stack, discussion of AI and ML chips becomes necessary. On this episode, we look at Canaan Mining, a chinese Bitcoin mining chip manufacturer. And we look at them in the context of growing trends in AI and ML chips. We compare and contrast AMD and NVIDIA and discuss the new growth in startups in the traditionally capital intensive space. We finish up with what you should be on the lookout for when considering investing in chip manufacturers. Topics: Canaan F1 On their mission statement Quick overview on Canaan Industry overview Overview of bitcoin and blockchain mining economics AI and ML chips What CPU is What GPU is What ASIC is What TPU is On their risk factors Links: History and Corporate Structure - https://www.sec.gov/Archives/edgar/data/1780652/000119312519276263/g773846g13c91.jpg Canaan.io - https://canaan.io/ IPO prospectus - https://www.sec.gov/Archives/edgar/data/1780652/000119312519276263/d773846df1.htm#rom773846_1 Canaan Creative - https://en.wikipedia.org/wiki/Canaan_Creative SEC Form F-1 - https://www.investopedia.com/terms/s/sec-form-f-1.asp Specialized AI Chips Hold Both Promise and Peril for Developers - https://spectrum.ieee.org/tech-talk/semiconductors/processors/specialized-ai-chips-hold-both-promise-and-peril-for-developers NVIDIA Gross Profit Margin - https://ycharts.com/companies/NVDA/gross_profit_margin

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  3. Datadog: A Developer Friendly Monitoring and Analytics Product or Ecosystem?

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    Datadog: A Developer Friendly Monitoring and Analytics Product or Ecosystem?

    On this episode, we dig into Datadog’s (Ticker: DDOG) IPO prospectus. We discuss their approach to analytics and monitoring, and how companies can benefit from using them. We look at a few case studies of how companies derive value from their product, and one in particular, that can generate value from its use. We also run through their developer-friendly offering and how quickly the product can be incorporated into a system. We spend a little time with their financials and then discuss our view of thinking about them as a product versus an ecosystem. Topics: What Datadog is Anecdotes of personal use with Elixir On their IPO prospectus - Industry Background - Opportunity - Solution and Key Strengths - Key Benefits to Our Customers - Growth Strategies - Risk Factors Links Datadog - https://www.datadoghq.com/ IPO prospectus - https://www.sec.gov/Archives/edgar/data/1561550/000119312519249577/d745413d424b4.htm Chart - https://www.sec.gov/Archives/edgar/data/1561550/000119312519249577/g745413g15v58.gif #54: Content Delivery Networks, DDOS Protection and Bot Fighting: CloudFlare as a Web Performance and Security Company - https://quantlayer.libsyn.com/content-delivery-networks-ddos-protection-and-bot-fighting-cloudflare-as-a-web-performance-and-security-company #38: A Look at CrowdStrike’s IPO Prospectus and Their Approach to Endpoint Security - https://quantlayer.libsyn.com/a-look-at-crowdstrikes-ipo-prospectus-and-their-approach-to-endpoint-security #15: Open Source as Revenue Driver: How Elasticsearch Uses Open Source for Revenue Growth, Tech Investing and Crypto, a Cautionary Tale of Bad Crypto Trading Psychology and Flash Crashes - https://quantlayer.libsyn.com/15-open-source-as-revenue-driver-how-elasticsearch-uses-open-source-for-revenue-growth-tech-investing-and-crypto-a-cautionary-tale-of-bad-crypto-trading-psychology-and-flash-crashes

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حول

In this podcast, hosts Vikram Ramakrishnan and Faizaan Shamsi, partners at the software consultancy QuantLayer, talk to investors and builders of the cryptocurrency arena. We discuss how industry participants think about crypto assets, how they uncover fraud in the market, and which technologies will turn the budding, nascent crypto space into the revolutionary powerhouse early market participants had hoped for.

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