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Praise for a “truly stellar and incredible” team · Digg

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Praise for a “truly stellar and incredible” team

A user praises a team and congratulates Calvin Chen.

TLDR

One post calls a team “truly stellar and incredible” and offers congratulations to Calvin Chen.

Combined views

70.8K

7 Sources, first seen 3h ago

386 likes

Combined views

70.8K

7 Sources, first seen 3h ago

386 likes

3h ago

first seen 3h ago

78 comments

94 saves

56 reposts

Featured Source

Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

78 comments

94 saves

56 reposts

Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

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Today's Rank

#19

Today's Rank

#19

Related

AI content creation talk planned for AI Engineer NYC in October 2026

A speaker says they’ll present with an OpenAI-affiliated collaborator on AI workflows behind what they describe as their 700K-plus followers and 200M-plus views.

7 Sources

@ProximalHQProximal builds infrastructure that enables AI to improve from real-world experience. In the past year, we have grown to more than $200M in annualized revenue helping frontier labs and enterprises improve coding agents. Now, we are expanding beyond software engineering. Recent progress in mathematics demonstrates what happens when models are trained in domains with massive amounts of public data and easy verifiability, making it easy to find weaknesses, generate training tasks, and iterate quickly. We build infrastructure that enables this feedback loop in other domains: we are excited about a world in which AI systems design targeted drugs, accelerate chip design, and rewrite legacy software that still runs hospitals, power grids, governments, and other critical infrastructure. Since starting, we have assembled a small team of researchers and engineers and built world-class infrastructure for post-training and synthetic data research to overcome the challenges of scaling manual data curation. Our team comes from Cursor, Google DeepMind, Meta Superintelligence, Prime Intellect, Citadel, and Jane Street. More than half are former founders. We’re fortunate to be backed by investors who share that vision, including @generalcatalyst who led our $15M Seed Round at a $300M valuation, as well as @chemistry, @svangel, @dvlamoen and individuals like @LiamFedus, @kevinweil, and @bernhardsson

@0interestratesRT @ProximalHQ: Proximal builds infrastructure that enables AI to improve from real-world experience. In the past year, we have grown to m…

@MilksandMatchaA truly stellar and incredible team congrats @calvinchen

@nrehiew_Excited to share i’ve joined @ProximalHQ here in SF! I think that there is a ton of interesting open problems related to data and post training at large. There is no better team to work with than the one we have and I am extremely excited to share our work :)

@khoomeikone year. $200M revenue. working with nearly every frontier lab. these guys are cracked and if you're interested in post-training agents for coding & beyond, DM @MatternJustus

@samsja19@nrehiew_ @ProximalHQ congrats !

@eliebakouch@nrehiew_ @ProximalHQ congrats man!!

7 Sources

@ProximalHQProximal builds infrastructure that enables AI to improve from real-world experience. In the past year, we have grown to more than $200M in annualized revenue helping frontier labs and enterprises improve coding agents. Now, we are expanding beyond software engineering. Recent progress in mathematics demonstrates what happens when models are trained in domains with massive amounts of public data and easy verifiability, making it easy to find weaknesses, generate training tasks, and iterate quickly. We build infrastructure that enables this feedback loop in other domains: we are excited about a world in which AI systems design targeted drugs, accelerate chip design, and rewrite legacy software that still runs hospitals, power grids, governments, and other critical infrastructure. Since starting, we have assembled a small team of researchers and engineers and built world-class infrastructure for post-training and synthetic data research to overcome the challenges of scaling manual data curation. Our team comes from Cursor, Google DeepMind, Meta Superintelligence, Prime Intellect, Citadel, and Jane Street. More than half are former founders. We’re fortunate to be backed by investors who share that vision, including @generalcatalyst who led our $15M Seed Round at a $300M valuation, as well as @chemistry, @svangel, @dvlamoen and individuals like @LiamFedus, @kevinweil, and @bernhardsson

@0interestratesRT @ProximalHQ: Proximal builds infrastructure that enables AI to improve from real-world experience. In the past year, we have grown to m…

@MilksandMatchaA truly stellar and incredible team congrats @calvinchen

@nrehiew_Excited to share i’ve joined @ProximalHQ here in SF! I think that there is a ton of interesting open problems related to data and post training at large. There is no better team to work with than the one we have and I am extremely excited to share our work :)

@khoomeikone year. $200M revenue. working with nearly every frontier lab. these guys are cracked and if you're interested in post-training agents for coding & beyond, DM @MatternJustus

@samsja19@nrehiew_ @ProximalHQ congrats !

@eliebakouch@nrehiew_ @ProximalHQ congrats man!!