AmplifyPartners's profile picture. Amplify is the first investor for technical founders. We're early backers of companies like Datadog, Chainguard, dbt Labs, Temporal, Modal, Hightouch, + Scribe.

Amplify Partners

@AmplifyPartners

Amplify is the first investor for technical founders. We're early backers of companies like Datadog, Chainguard, dbt Labs, Temporal, Modal, Hightouch, + Scribe.

Amplify Partners 님이 재게시함

"Infrastructure platforms should always be open-source, plain and simple."

From an OSS project at Uber to a $2.5B company -- @temporalio has become the leader in Durable Execution. @lennypruss and I sat down with founders @SamarAtTemporal & @mfateev for their most in-depth interview yet on the technical journey, key decisions, and what’s next in AI:



Amplify Partners 님이 재게시함

Everyone is talking about agents, and what many don’t understand is that under the hood they are just dynamic workflows. Teams building agents today are running into the same exact problems as anyone building a distributed system. Temporal and Durable Execution solve this:


Amplify Partners 님이 재게시함

From an OSS project at Uber to a $2.5B company -- @temporalio has become the leader in Durable Execution. @lennypruss and I sat down with founders @SamarAtTemporal & @mfateev for their most in-depth interview yet on the technical journey, key decisions, and what’s next in AI:


Behind the curtain of @temporalio's explosive growth, @barrnanas and @lennypruss talked to the Temporal cofounders about how they did it:

From an OSS project at Uber to a $2.5B company -- @temporalio has become the leader in Durable Execution. @lennypruss and I sat down with founders @SamarAtTemporal & @mfateev for their most in-depth interview yet on the technical journey, key decisions, and what’s next in AI:



should have put "AI" in the title 😤

how does this have only 574 views

var_epsilon's tweet image. how does this have only 574 views


Amplify Partners 님이 재게시함

Good article about @TigerBeetleDB, a new-ish distributed OTLP database... I enjoyed how the author dives into the history of SQL and transactional databases. I also enjoyed the discussion of various decision-points you'd encounter if - for some reason - you decided to build a…


Amplify Partners 님이 재게시함

Most databases take a decade to build. @TigerBeetleDB built theirs in just 3 - and it's Jepsen approved. I interviewed their team extensively to figure out how they managed to pull this off, and wrote a profile for your enjoyment:

Justin Gage writes “why TigerBeetle is the most interesting database in the world” amplifypartners.com/blog-posts/why… @AmplifyPartners

TigerBeetleDB's tweet image. Justin Gage writes “why TigerBeetle is the most interesting database in the world”

amplifypartners.com/blog-posts/why…

@AmplifyPartners


Amplify Partners 님이 재게시함

People often talk about vertical AI but vertical infra may be even more consequential in unlocking future apps. Cool to see how Tigerbeetle purpose built a DB for money moving.

A monumental new post on our blog: behind the scenes of @TigerBeetleDB and how they've almost miraculously built a Jensen-passing database in only a few years



Amplify Partners 님이 재게시함

1/ For my money, @tigerbeetledb is one of the most interesting databases in the world. While others write code fast, TigerBeetle writes slow. Zero dependencies. Built entirely on simulation testing. And they have fun while doing it. A short thread about what makes them special:


Amplify Partners 님이 재게시함

I'm so excited to share our fall launch of Threads! 🚀🧵 I joined Hex just five months ago, along with the rest of the Hashboard team. It’s wild how much the world and Hex have changed in that time. In that time Hex has shipped: ✍️ A first-class experience for building…


Amplify Partners 님이 재게시함

“In less than a decade, the world has become at least three orders of magnitude more transactional.” See why Justin Gage of @AmplifyPartners thinks @TigerBeetleDB is the only database that can keep up with the realtime demands of today and the next 30+ years 👇

peterahn's tweet image. “In less than a decade, the world has become at least three orders of magnitude more transactional.”

See why Justin Gage of @AmplifyPartners thinks @TigerBeetleDB is the only database that can keep up with the realtime demands of today and the next 30+ years 👇

Amplify Partners 님이 재게시함

Insanely detailed write up by Sami on how Husky's query path works. I highly recommend reading it, it's extremely rare for this much detail to be provided about a proprietary system that runs at this scale. datadoghq.com/blog/engineeri…


Amplify Partners 님이 재게시함

Why TigerBeetle is the most interesting database in the world #HackerNews amplifypartners.com/blog-posts/why…

hackernewstop5's tweet image. Why TigerBeetle is the most interesting database in the world #HackerNews
amplifypartners.com/blog-posts/why…

Amplify Partners 님이 재게시함

It's true – @modal has raised a $87M Series B at a $1.1B valuation to advance the future of AI infrastructure.  Thank you to @Lux_Capital, @Redpoint, @AmplifyPartners, and others. Now more than ever, AI demands a complete reinvention of traditional compute infrastructure


Congrats to @modal on their Series B 🙂 we are excited to continue supporting them, and if you haven't already you should read about their god tier systems engineering: amplifypartners.com/blog-posts/how…

amplifypartners.com

How Modal built a data cloud from the ground up | Amplify Partners

Behind the scenes of how Modal built and scaled a data cloud from scratch, from a custom container runtime to their own filesystems.

It's true – @modal has raised a $87M Series B at a $1.1B valuation to advance the future of AI infrastructure.  Thank you to @Lux_Capital, @Redpoint, @AmplifyPartners, and others. Now more than ever, AI demands a complete reinvention of traditional compute infrastructure



Amplify Partners 님이 재게시함

A familiar pattern seems to be playing out with agent frameworks: everyone is building opinionated end-to-end solutions that bundle everything together (design, test, deploy, observe). But if we’ve learned anything from previous platform shifts, this might be the wrong approach…


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