
The AI-native Series A firm. Founders: @daltonc @paultoo @berg Makers of @StandardDB
Joined April 2025
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Standard Capital retweeted
We built Luminal Inference Cloud on this platform, and serve over 3 trillion tokens per day across a heterogeneous fleet.
Standard Capital retweeted
Accelerating inference on all types of chips, not just Nvidia, is a massive opportunity.
Luminal is the real deal.
We've raised a $25M Series A led by @Standard_Cap to accelerate heterogeneous inference.
Standard Capital retweeted
We've raised a $25M Series A led by @Standard_Cap to accelerate heterogeneous inference.
Standard Capital retweeted
What person gets added to the board: one of the most consequential decisions a founder will make.
Standard Capital retweeted
Replying to @paultoo
@paultoo and @daltonc’s approach to Series A makes so much more sense than the traditional founder-unfriendly process. Highly recommend.
And they fund bio/health too! like @andromedasurg from our portfolio
Standard Capital retweeted
You can now set custom access on Trigger API keys, save presets for your team, limit keys by IP and narrow keys to what they actually use. Available on all plans, including Free. tgr.dev/U9COVed
Standard Capital retweeted
Super excited to achieve FedRAMP 20x-certification! Class A done (within 77 days). Now onto Class C!
We’re excited to announce Casco has just achieved FedRAMP 20x Class A certification.
Our adversaries can run cyberattacks against government cyberinfrastructure 24/7, so our national cybersecurity should be 24/7, too.
Learn more about our government capabilities at casco.com/government. 🇺🇸
Standard Capital retweeted
OIDC support is now available for all Trigger.dev Cloud users
tgr.dev/nYOCZKD
Standard Capital retweeted
We recently led the Reflex Series A.
Reflex began as an open source python library for building web applications in python, and their open source rep has since grown to ~30K Github stars.
The founders of Reflex noticed that a number of enterprise customers started using Reflex organically, and so over a year ago they started offering paid enterprise features.
Fast-forward to today, and AI is obviously changing the fundamental nature of the software industry, and Reflex is fully focused on being the platform that allows any enterprise to create and maintain their own custom software stack in-house rather than buy SaaS from vendors.
This vision sounds like the right one, which is why @Standard_Cap chose to back @getreflex!
Standard Capital retweeted
Some news: Standard Capital led the @getreflex Series A!
Reflex is already used by 30% of the Fortune 500. Enterprises can stop paying for SaaS and replace *everything* with customized software powered by Reflex.
This is the future of enterprise software.
Welcome to @Standard_Cap, Nikhil and Alek!
Congrats to @getreflex (W23) on their $14M Series A! They build the platform companies use to create custom software around their own operations.
Reflex started as an open source framework for building web apps in pure Python. Now the same platform takes a business problem all the way to a working app, with AI writing the software and Reflex engineers putting it into production.
The open source framework has now passed 29,000 GitHub stars, powers internal tools at ~30% of the Fortune 500, and has been used to build more than 1 million apps.
reflex.dev/blog/series-a-ann…
Standard Capital retweeted
Weave (W25) helps engineering teams understand whether their AI coding tools are actually making them more productive. Its models measure the work humans and agents produce and compare that output with AI spending.
The company recently raised a $13.5M Series A led by Standard Capital and launched Weave Router, which selects models for different coding tasks.
In this fireside, @WorkWeave co-founders @adambcohen93 and @AndrewChurchiII join YC's @snowmaker to share how the company evolved alongside the rapid rise of AI coding, from measuring the impact of tools like Cursor to helping teams build software factories that can work autonomously.
They explain how the best engineering teams are learning to measure the real output of their agents, spread the habits of their strongest AI users, and optimize for a future where much more software is written without a human at the keyboard.
00:00 — Optimizing AI Coding With Weave
04:02 — Getting More From Your AI Budget
08:39 — Measuring Work Beyond Lines of Code
12:30 — From AI Adoption to Optimization
16:47 — Measuring AI ROI and Coaching Engineers
20:16 — Building Software Factories
25:38 — The Future of Model Routing
Standard Capital retweeted
Today we're open sourcing Weave Checks, to help you enforce the code principles you care about (without a human reading every line).
By running an agent against every PR, Weave Checks ensures it meets criteria you define in Markdown files. Each Markdown file is a single code quality standard you want to uphold.
The agent checks that the standard is upheld and leaves a review comment if it's not. It self-resolves once its own comments have been addressed.
Top Weave Checks seen we've setup:
1. No tautological tests
2. Over abstraction
3. Defensive programming
4. Dead-code paths
5. Intermediate variable cleanup
Let us know what you think!
weaveos.com/checks
Standard Capital retweeted
Artie now runs Apache Kafka for you on AWS.
You pay AWS’s price for the infrastructure plus 25% on the brokers, and that’s it. Three r8g.large brokers with 1 MB/s in and 500 GB retained come to $436 a month, compared with $1,110 for the same cluster on Amazon MSK.
Once your cluster is up, our engineers are on call for it. Artie Managed Kafka replaces failed brokers, rebalances partitions, grows disks before they fill, moves older data to S3, and rolls out upgrades one broker at a time.
Last night a streamer tried running Kafka himself, live. By 3 AM his disks were full, a broker was on fire, and the partition reassignment had four hours left. Someone in chat told him to “just use managed.” Chat was right.
Standard Capital retweeted
Today we're laying legacy treasury to rest.
Some systems don’t need an upgrade. They need a eulogy.
The better move is to let go of the old way and build treasury around AI agents that actually do the work.
Treasury teams have been told for years that the answer is another implementation, another module, another 18-month rollout. Meanwhile they’re still pulling cash positions by downloading data, reconciling in spreadsheets, and clicking buttons in legacy UIs.
At @Concourse_ai, we enable teams to build AI agents that run the work your TMS never could, across cash visibility, bank reconciliation, and forecasting. Our agents drive ROI by generating incremental interest income, unlocking excess liquidity, and saving on FX and bank fees. All while giving teams thousands of hours back.
If your TMS is on life support, my condolences. We’d be happy to help with the arrangements.
Come find us at AFP 2026 in Las Vegas at Booth #673
Standard Capital retweeted
Today we're launching on Hacker News and releasing QA-Bench, a public benchmark for how well AI agents find bugs in real apps
Mo, our AI QA engineer, found 2.7x more reproducible bugs than Codex and 6.3x more than Claude Code
The benchmark method and data are public on Hugging Face:
huggingface.co/datasets/mome…
On HN: go to news.ycombinator.com and look for "Launch HN: Momentic (YC W24) - Agents that catch bugs by using your app"
Jeff and I are answering questions there all day, come grill us
Standard Capital retweeted
Archil remains the singular way to share data across servers: for agents, data pipelines, training -- without needing to compromise on the performance of your common workloads.
Standard Capital retweeted
Last night around 12:55 AM @simdotai crossed 30k GitHub stars.
Honestly, this moment feels pretty surreal.
When I moved to San Francisco in Summer '24 it felt like the most important AI applications were copilots, where humans and LLMs worked together to incrementally solve a problem.
Agents–especially background agents–weren't ready to solve real work. Teams using AI (rightfully so) couldn't confidently hand over regular workflows to agents.
A few months later (Jan '25), I started using agents to autonomously write code.
I thought to myself that agent systems would surely extend beyond coding to handle non-programming tasks.
That's when I told @typingwala we should start an open-source project for teams to build agents in cloud workspaces.
We started Sim purely for ourselves to automate away work that teams used to hire for.
When we first started, Waleed asked me what our goal was and I said if we get to 10 GitHub stars I'd be happy.
The rest is history.
To more Sim.
Standard Capital retweeted
We upgraded our Bun runtime to Bun 1.4 and took Node.js out of the image entirely.
Memory per container dropped 41%, cold starts are 18% faster and the image is 25% smaller.
@jarredsumner and the @bunjavascript team are still cooking.
tgr.dev/uv7Lfki
Standard Capital retweeted
How are you different from Lovable, Bolt, Replit, v0 and Figma?
We’re built for speed: get the design, iterate visually, align your team.
Full conversation with @alexdanilowicz @Teddarific @snowmaker @ycombinator here: youtube.com/watch?v=-moAmKQk…
Standard Capital retweeted
This week we added webhooks support for the second time. @maverickdotdev wrote up the technical choices we made
tgr.dev/IJuegql


























