Hacker News Reader

mlerneron XFaaS: Hyperscale and Low Cost Serverless Functions at Meta

Author of the paper summary here - my understanding is that XFaaS doesn't run functions that are run in response to user input (e.g. XFaaS does not execute code that fetches and returns data because a user clicked on a button).

mlerneron Blueprint: A Toolchain for Highly-Reconfigurable Microservice Applications

Good catch! Here's the link to the framework: https://gitlab.mpi-sws.org/cld/blueprint/blueprint-compiler.

Also added it to the blog post :)

mlerneron Wash trading gone wrong – how a $100M/day crypto exchange bankrupted itself

The x-axis is size of trade, and the y-axis is % of trades at a specific size. ExRates had _many_ large trades, which shows up as a significantly different distribution than other exchanges like Coinbase/Bitstamp/Kraken (which had many small trades, and a long tail of larger size trades). See slide 42-44 here: https://www.sec.gov/comments/sr-nysearca-2019-01/srnysearca2...

mlerneron Wash trading gone wrong – how a $100M/day crypto exchange bankrupted itself

100% - although this time around there is (in my opinion) _a lot more data_ [1] that regulated markets (like CME bitcoin futures) drive price discovery.

[1] There was data back then too, it just wasn't received.

mlerneron Wash trading gone wrong – how a $100M/day crypto exchange bankrupted itself

The volume we were looking at was on exchanges (not on chain).

mlerneron Ask HN: Could you share your personal blog here?

It’s Jekyll - and open source! https://github.com/mlerner/mlerner.github.io

mlerneron Wash trading gone wrong – how a $100M/day crypto exchange bankrupted itself

Neat and funny that they have an uncited figure (the one with the six exchanges with wacky trade size distributions) from research that we did while I was working at Bitwise.

We found 95% of bitcoin trading volume at the time was fake: https://www.wsj.com/articles/most-bitcoin-trading-faked-by-u...

mlerneron Ask HN: Could you share your personal blog here?

https://www.micahlerner.com

I write about new and foundational academic CS research - writing is a way for me to learn and share with others along the way.

Some of my most popular writing is:

- FoundationDB: A Distributed Unbundled Transactional Key Value Store (https://news.ycombinator.com/item?id=28740497)

- Monarch: Google’s Planet-Scale In-Memory Time Series Database (https://news.ycombinator.com/item?id=31379383)

- Ray: A Distributed Framework for Emerging AI Applications (https://news.ycombinator.com/item?id=27730807)

mlerneron FoundationDB: A Distributed Key-Value Store

Really neat paper - a while ago I wrote a summary of the system: https://www.micahlerner.com/2021/06/12/foundationdb-a-distri...

mlerneron Revue will shut down and all data will be deleted

Came to the comments and found my blog mentioned. Aw schucks.

mlerneron Design and Evaluation of IPFS: A Storage Layer for the Decentralized Web

Author here - thank you for pointing that out! The context in the comment you linked to is also helpful.

In your opinion, would it be correct to remove "uniquely" from the first sentence? Maybe that would help clarify the issue you pointed out. As far as I understand, the CIDs are still unique when referring to _metadata_, and can be used to "unambiguously fetch content from its peers".

mlerneron We need a replacement for TCP in the datacenter [pdf]

I wrote a summary of one of the approaches for replacing TCP mentioned in the paper (called Homa) here: https://www.micahlerner.com/2021/08/15/a-linux-kernel-implem...

mlerneron Notes on the SQLite DuckDB Paper

I try to do paper reviews (like https://news.ycombinator.com/item?id=31379383) because it is a great way for me to learn more and _hopefully_ share in a way that is useful for others . My writing abilities are still a work in progress :)

mlerneron Faster Protocol Buffers

This was just on the front page: https://news.ycombinator.com/item?id=32456998

mlerneron Druid: A Real-Time Analytical Data Store

Thank you! :)

mlerneron GhOSt: Fast and Flexible User-Space Delegation of Linux Scheduling

Noted - thanks!

mlerneron Kangaroo: Caching Billions of Tiny Objects on Flash

> I've been curious who you are & what motivates you.

I'm just a person who enjoys reading and writing about systems - information on me available in HN profile and on the blog :)

mlerneron Kangaroo: Caching Billions of Tiny Objects on Flash

This paper is from a conference a few months ago (SOSP), it's possible you read a pre-print (or maybe the CacheLib paper [1]).

Facebook publishes lots of systems research! FWIW I also write a fair bit about the other systems research from Microsoft Research, etc - what you are seeing in my posting history is me sharing my writing a few times (as permitted by HN rules)

[1] https://www.usenix.org/conference/osdi20/presentation/berg

mlerneron Faster and Cheaper Serverless Computing on Harvested Resources

Really neat paper - I wrote a summary of it here: https://www.micahlerner.com/2021/11/30/faster-and-cheaper-se...

mlerneron Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Containers

Thanks!

mlerneron Laptop to Lambda: Outsourcing Everyday Jobs to Thousands of Transient Containers

Thanks for the feedback! Does this Atom feed work for you? https://www.micahlerner.com/feed.xml

mlerneron Behind the scenes, AWS Lambda

If you're interested in Firecracker, I wrote a summary of the original paper here: https://www.micahlerner.com/2021/06/17/firecracker-lightweig...

mlerneron Ray: A Distributed Framework for Emerging AI Applications

Neat - thanks for sharing! A friend mentioned Orleans, queueing up the paper (found this one https://www.microsoft.com/en-us/research/publication/orleans...) for future reading.

mlerneron S&P Dow Jones Indices to launch cryptocurrency indexes in 2021

The claim about people with "A+ credentials" not working in crypto is off base.

Look at the founders of crypto companies from top-tier VCs like a16z: https://a16z.com/crypto/#vertical-landing-portfolio

mlerneron Ask HN: Who is hiring? (May 2018)

Bitwise Asset Management | San Francisco | Full-time, Onsite | https://jobs.lever.co/bitwiseinvestments

Seed funding from Naval Ravikant, Khosla Ventures, General Catalyst, Avichal Garg (Part-time Partner at Y Combinator)

- Front-End Engineer (React, Node) - https://jobs.lever.co/bitwiseinvestments/f4ccc812-edb6-4099-....

- Full-stack Engineer (Node, Scala, Postgres) - https://jobs.lever.co/bitwiseinvestments/43bb8ae2-2ee9-44e9-....

We are a San Francisco-based cryptocurrency asset manager founded in 2017. Last year we introduced the first cryptocurrency index fund — the Bitwise HOLD 10 Private Index Fund. It holds the 10 largest cryptoassets that cover about 80% of the market.

The firm has a software team with backgrounds across Google, Facebook, Wealthfront, and military software security. Bitwise is backed by individual and institutional investors who backed and built: PayPal, Square, Stripe, Wealthfront, Coinbase, MetaStable, Palantir, and others.

The Bitwise team is a tight knit team. We're growing quickly and looking for people excited about what we're working on: https://jobs.lever.co/bitwiseinvestments

mlerneron Ask HN: Who is hiring? (April 2018)

Bitwise Asset Management | San Francisco | Full-time, Onsite | https://jobs.lever.co/bitwiseinvestments

Seed funding from Naval Ravikant, Khosla Ventures, General Catalyst, Avichal Garg (Part-time Partner at Y Combinator)

- Front-End Engineer (React + Node) - https://jobs.lever.co/bitwiseinvestments/f4ccc812-edb6-4099-...

- Full-stack Engineer (Node, Scala, Postgres) - https://jobs.lever.co/bitwiseinvestments/43bb8ae2-2ee9-44e9-...

The Bitwise team is a tight knit team. We're growing quickly and looking for people excited about what we're working on: https://jobs.lever.co/bitwiseinvestments

mlerneron Coinbase Index Fund

I think rebalancing with Coinbase's selection of coins is pretty easy. When you have a more complex basket (for context, I work at Bitwise Investments, which runs the Bitwise HOLD10 Index), it is more difficult to decide what goes into the basket.

For example, several coins (like Neo and Ripple) have supplies that grow and are centrally controlled, but many coins have planned inflation schedules. We know that the supply of many of the large-cap coins is going to grow over the next couple of years, and that needs to be taken into consideration when valuing them.

To explain why that is important: if people buy a coin at a certain price _knowing_ that a certain amount of inflation is going to happen, that means investors think that the market cap of the coin is actually much more (think of this like Discounted Cash Flow). Restated, if people buy these coins knowing that the supply is actually going up, that means that they think that the value of the coin is actually much higher than the current market cap.

If you want to learn more about indexing methodologies for cryptocurrencies, you should check out our website: https://www.bitwiseinvestments.com/index

mlerneron Coinbase Index Fund

Bitwise Investments has a fund (the HOLD10 Index: https://www.bitwiseinvestments.com/) that handles a lot of the hard work around rebalancing/taxes/security. We are currently only open to accredited investors to, but have plans to open up more widely.

mlerneron Coinbase Index Fund

The Bitwise HOLD10 (where I work) handles a lot of the hard work around rebalancing and taxes.

mlerneron Coinbase Index Fund

You should check out the Bitwise HOLD10 (where I work). We are backed by Naval Ravikant (Cofounder of AngelList and CoinList. Partner at Metastable), Avichal Garg (Part-time Partner at Y Combinator. Previously Director at Facebook), and Keith Rabois (former COO at Square: https://www.bitwiseinvestments.com/about