Amplify Partners
@AmplifyPartners
Amplify is the first investor for technical founders. We're early backers of companies like Datadog, Chainguard, dbt Labs, Temporal, Hightouch, Scribe, and Hex.
go get them
@datologyai and I are at #ICML2025, and we have two best-in-class things at the conference: 1. Swag: fidget spinners 2. Jobs: We're looking for talented researchers and engineers (full-time & interns). We're especially interested in someone to lead research on data curation for…
QSBS is the single most impactful thing for startup financial outcomes that the fewest people know about. New laws are changing the asset cap and adding a tiered gain exclusion – our very own @dauber breaks down what this means for founders + investors
The fearless leader @dhaliwas on @nvidia's historic $4T day: downside potential for the stock, geopolitical AI risk, and whether we're in an AI bubble yet (probably not)
Check out my recent chat with @jorandirkgreef, founder and CEO of @TigerBeetleDB and DST Grand Wizard. Thanks for the shoutout @cpplain 📣
Highly recommend watching this conversation about Deterministic Simulation Testing with @DominikTornow and @jorandirkgreef.
We talked to @ElliotHershberg (Partner @AmplifyPartners) about the challenges in life sciences technology. "There has been a general sentiment that you can make a huge amount of progress with new data and new technology in life sciences." "It actually turns out that it's really…
Our very own @ElliotHershberg on TBPN:
We talked to @ElliotHershberg (Partner @AmplifyPartners) about the challenges in life sciences technology. "There has been a general sentiment that you can make a huge amount of progress with new data and new technology in life sciences." "It actually turns out that it's really…
There’s an open question around which programming language is going to become the standard for AI agents generating code. Weakly typed ones like Python + JS have leapt ahead because they’re easier for our meat computers to grok…but what happens when it’s not humans writing them?
The holy trinity of serverless GPU has been achieved internally at @modal_labs: ✅ Custom filesystem optimized for container cold start ✅ CPU snapshot+restore ✅ GPU snapshot+restore Last one is working internally but not released yet – stay tuned!
Formal verification (theorem proving and model checking) is often considered programming's holy grail. In my view, research remains impractical (see halting problem). Humans often fail to test boundary conditions and nondeterministic results, which is the sweet spot for LLMs
Every engineer is familiar with the joys of writing unit tests. But less known is formal (or program) verification: foolproof, mathematical ways of guaranteeing code outputs. And as more code writing shifts to agents, I believe it will become critically important for LLMs.
Formal verificiation 👀
Every engineer is familiar with the joys of writing unit tests. But less known is formal (or program) verification: foolproof, mathematical ways of guaranteeing code outputs. And as more code writing shifts to agents, I believe it will become critically important for LLMs.
Quoted @ElliotHershberg on the era of digital biology; the Amplify Bio Manifesto: amplifypartners.com/blog-posts/amp… @AmplifyPartners
I had sleepless nights for months before our first production release, wrestling with the problem: How to guarantee safe upgrades? Watch Federico Massimiliano Lorenzi's talk about the hardest problem in TigerBeetle: youtube.com/watch?v=P9nLS2…
How do you upgrade a distributed database, and not fork state machines running on an old version? Do you replay a few weeks of production traffic on both versions, and hope for the best? Or do you invoke VAX and multiversion binaries to design (and guarantee) the problem away?
We’re excited to introduce Chai-2, a major breakthrough in molecular design. Chai-2 enables zero-shot antibody discovery in a 24-well plate, exceeding previous SOTA by >100x. Thread👇
New survey data from @AmplifyPartners @barrnanas shows 17% of respondents change models weekly and 10% of respondents change their prompts daily! With such frequent changes, evals at a specific point in time are no longer moats. The tooling to runs evals are..
🥖 Breadcrumbs are out. Full loaves are in. In other words: bitdrift now supports first-party crash reporting! Check it out here → buff.ly/vjJNlII
Super cool insights on AI usage!
We surveyed hundreds of engineers building in AI about everything from which models they’re using to whether they’re using a dedicated vector database. And, of course, if they think everyone will have AI girlfriends by 2030. Some highlights 🧵:
If you already know all the answers then I won’t bore you with the facts. For those interested in the facts, behold Barr’s latest AI Engineering survey 📝
We surveyed hundreds of engineers building in AI about everything from which models they’re using to whether they’re using a dedicated vector database. And, of course, if they think everyone will have AI girlfriends by 2030. Some highlights 🧵:
really awesome survey from Barr!! highly recommend people read to see the state of ai eng
We surveyed hundreds of engineers building in AI about everything from which models they’re using to whether they’re using a dedicated vector database. And, of course, if they think everyone will have AI girlfriends by 2030. Some highlights 🧵:
It can be so tough to understand if you’re building the right thing when every company claims to be running multi-agent systems with tool use and reasoning capabilities in prod. Barr’s survey cuts through the cr@p to share insight into where we actually are.
We surveyed hundreds of engineers building in AI about everything from which models they’re using to whether they’re using a dedicated vector database. And, of course, if they think everyone will have AI girlfriends by 2030. Some highlights 🧵: