Enginears

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Guest:

https://www.linkedin.com/in/maxim-logvinenko/

https://t.me/maximizing_it

Coin Metrics Links:

https://coinmetrics.io/careers/

https://www.linkedin.com/company/coinmetrics/

https://x.com/coinmetrics/

https://coinmetrics.substack.com/

https://coinmetrics.io/state-of-the-market/

https://www.linkedin.com/newsletters/7249095682777591808/?displayConfirmation=true/

Coin Metrics is the leading provider of crypto financial intelligence, offering network data, market data, indexes and network risk solutions to the most prestigious institutions touching cryptoassets. Established in 2017, Coin Metrics is committed to building the crypto economy on a foundation of truth, providing authentic and accurate data with the highest standards of clarity and precision. Coin Metrics puts unparalleled insight and accuracy into crypto data and analytics so that companies can accelerate value creation and minimize risk. For more information, visit www.coinmetrics.io.

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00:00 - Enginears Intro.

01:03 - Maxim Intro.

02:57 - WhatsApp experience.

05:19 - Coin Metrics Intro.

08:25 - What products are Coin Metrics building on-chain?

12:45 - What are the engineering challenges that are found on a day to day basis?

16:14 - What is Maxim's best tip for ensuring reliability and high data quality in blockchains?

18:35 - Why is high quality data important for Coin Metrics?

20:50 - Is that why data is kept across multiple data centres and different environments?

22:24 - What is the tech stack at Coin Metrics and why it is important?

27:08 - Would you change anything about your tech stack?

28:22 - How do you approach the change to your tech stack?

31:14 - The future of Coin Metrics?

33:50 - Where are some of today's challenges and where are the anticipated challenges in the next 12 months?

36:33 - Growth expected at Coin Metrics and what Coin Metrics are looking to hire in engineering (culture)?

41:00 - Maxim & Coin Metrics Outro.

42:45 - Enginears Outro.

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Guest:

https://www.linkedin.com/in/danielleleong/

https://firehydrant.com/careers/

Steel Thread article:

https://www.rubick.com/steel-threads/

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00:00 - Enginears Intro.

01:15 - Danielle Intro.

03:36 - FireHydrant Intro.

07:51 - Build vs Buy?

11:19 - Breakdown of components that are important to enterprise ready features.

14:23 - How to focus on customer challenges to build technology and systems?

23:00 - How to build software for enterprise ready features?

27:20 - Mobilising the teams internally to build this software.

32:26 - What is the direction for FireHydrant and the next 12 months?

35:55 - How can people get involved?

37:17 - Danielle & FireHydrant Outro.

37:59 - Enginears Outro.

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Guest:

https://www.linkedin.com/in/dukesam/

https://www.trypavlov.com/company/careers

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00:00 - Enginears Intro.

01:00 - Niall Intro.

02:16 - Pavlov Intro.

04:32 - What is a product problem and what is an engineering problem?

09:24 - Next 12 months at Pavlov.

11:35 - The interviewing landscape; what does good look like and how to attract really good people at scale?

20:18 - What are the most important problems, attributes and characteristics?

22:24 - How Niall adopts the discovery of need process and how to tailor the interview process off that?

26:21 - What is Niall's opinion on using an engineering problem inside the business as a question in an interview for a new candidate?

34:14 - Decision-making process for general interviewing.

38:18 - The experience of a candidate interview process is the X Factor.

43:55 - Niall & Pavlov Outro.

45:10 - Enginears Outro.

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Guest:

https://x.com/odysseas_eth/

https://jobs.ashbyhq.com/phylax/

Coinbase 'Nomad Bridge' article: https://www.coinbase.com/en-gb/blog/nomad-bridge-incident-analysis/

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00:00 - Enginears Intro.

00:48 - Odysseas Intro.

04:57 - The Nomad Bridge incident; what was the cause?

05:52 - Phylax Intro.

10:03 - What is the current state of security in the crypto space?

13:01 - What are Odysseas' biggest challenges that he sees in protocol security?

16:27 - Who is auditing the protocol engineering and why does it cost so much?

22:15 - Hack prevention(s) and how they work?

33:50 - Social engineering hacking.

38:07 - Phylax's growth plans for the next 12 months.

39:51 - Odysseas & Phylax Outro.

40:54 - Enginears Outro.

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Guest:

https://www.linkedin.com/in/migueldevega/

https://apply.workable.com/nillion/

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00:00 - Enginears Intro.

00:50 - Miguel Intro.

01:35 - Transition from Web2 to Web3.

02:42 - Nillion Intro.

04:35 - Day to day challenges at Nillion.

06:10 - The opportunities that cryptography brings to us.

12:04 - Can decentralisation be a bit part solution to the challenges in the AI space?

15:09 - How can we speed up adoption with accessibility?

16:52 - Why Privacy Enhancing Technologies (PETs) will be mainstream for developers?

18:39 - How PETs make up the blind computer?

21:00 - Developers interaction with primitives.

22:45 - What are the challenges in creating privacy and increasing security in AI?

26:00 - Advice for people coming from Web2 into Web3?

30:13 - The vision for Nillion for the next 12 months?

33:02 - Miguel & Nillion Outro.

34:03 - Enginears Outro.

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Guest:

https://www.linkedin.com/in/lapitsky/

https://auroralabs.dev/

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00:00 - Enginears Intro.

00:55 - Alexey Intro.

02:01 - Transition from Web2 to Web3.

05:04 - Aurora Labs Intro.

11:59 - What are the most important components that make up Aurora Labs?

17:34 - Virtual chains at Aurora Labs.

22:25 - How does Aurora Labs think about the customer and developer experience when building?

27:04 - What does technology adoption look like at Aurora Labs?

30:53 - How does Alexey see the chains evolving?

33:40 - How are Aurora Labs growing with the new ideas & technologies?

36:42 - How are Aurora Labs hiring and what engineers they are looking to attract?

39:39 - Alexey & Aurora Labs Outro.

40:20 - Enginears Outro.

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Guest:

https://www.linkedin.com/in/simonhenriksen/

https://mykin.ai/jobs/

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00:00 - Enginears Intro.

00:58 - Simon Intro.

05:49 - Kin Intro.

09:00 - What is smart memory and what is it doing for Kin?

13:42 - Where are the engineering challenges involved?

15:40 - Soft data and local-first trend, why do they exist in Kin?

21:00 - What was the decision behind local-first?

22:29 - More engineering challenges that come with building with local-first.

25:59 - Biggest learning stepping into the large language model (LLM) world?

28:53 - The next 12 months for Kin.

33:56 - Simon & Kin Outro.

35:21 - Enginears Outro.

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https://www.linkedin.com/in/rokas/

https://castai.teamtailor.com/

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00:00 - Enginears Intro.

01:02 - Rokas Intro.

03:18 - CAST AI Intro.

06:11 - What are the engineering challenges at CAST AI?

10:05 - Cultural tendencies at CAST AI that adopt the customer first mindset.

14:33 - Having the builder's mindset is important.

16:47 - Tooling, observability and incident management at CAST AI.

21:05 - How do you build a safe failure environment in a fairly high risk business?

25:07 - Growth at CAST AI from a few employees to over 200 people.

33:25 - Direction in which CAST AI are headed.

42:50 - What are CAST AI's next hires (people) and locations?

48:38 - Rokas & CAST AI Outro.

50:31 - Enginears Outro.

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Guests:

https://www.linkedin.com/in/ravitrivedi3/

https://www.linkedin.com/in/mary-solbrig/

https://www.tecton.ai/careers/

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00:00 - Enginears Intro.

01:37 - Ravi Intro.

03:10 - Mary Intro.

04:50 - Who are Tecton?

09:34 - Importance of data in model training and inference?

11:40 - Where are Mary's typical challenges when training models at a high scale?

14:14 - Putting ML applications into production is hard.

20:14 - The difficult but rewarding experience of building a seamless and easy to use UX.

23:03 - Platform engineering culture; mindset behind building your own.

30:32 - Mary; top challenges when building out data intensive applications?

35:03 - Building in-house comments.

43:14 - Tecton's plans for the next 12 months.

47:57 - Ravi, Mary & Tecton Outro.

49:02 - Enginears Outro.

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Guest:

https://www.linkedin.com/in/clarkbw/

https://neon.tech/careers

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00:00 - Enginears Intro.

01:17 - Bryan Intro.

06:13 - Neon Intro.

08:08 - Why would you use Neon?

12:08 - Developer experience at Neon.

16:10 - How have Neon challenged the first principles of databases?

18:30 - Neon's rewind function - has this been created through mindset or just technological advancements?

21:55 - Differences from Bryan's perspective between working on building a B2C product vs B2B2C product.

32:23 - Growth at Neom over the next 6-12 months.

37:35 - Any team growth at Neom over the next 6-12 months?

38:55 - Bryan & Neon Outro.

40:09 - Enginears Outro.

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