Standard Capital

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Standard Capital

Standard Capital

@Standard_Cap

The AI-native Series A firm. Founders: @daltonc @paultoo @berg Makers of @StandardDB

Katılım Nisan 2025
15 Takip Edilen7.4K Takipçiler
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Hunter Leath
Hunter Leath@jhleath·
excited to announce serverless, multi-writer SQLite for Archil users. even though file systems are the primitive for AI agents, builders know that some data is better represented as database tables. good news is that those databases run on our file system natively. today, we're making it simple to add infinite SQLite databases to your file system, send queries/mutations to it from multiple locations, and only pay for the storage that you're actively using. excited to see what you build!
Archil@archildata

Agents need structured data too. Developers are using SQLite to store agent history, state, and memories, alongside Markdown. Today, we're announcing serverless SQLite on Archil. Create unlimited databases on your disk, and use our SDK against them -- from multiple clients.

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conor brennan-burke
conor brennan-burke@contextconor·
@vaibcode @Standard_Cap @daltonc exactly. the series A right now is high dilution + legally complex + expensive, and can result in founders losing control of board seats just like the seed round before yc came along their standardized founder-friendly alternative could push the whole industry forward
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Emir Karabeg
Emir Karabeg@emkara·
Sim is live now on Product Hunt. Check it out below:
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hud
hud@hud_evals·
Roughly 90% of purchased post-training data doesn't work. Reward hacks, contrived tasks, models climbing the wrong hill. We sat down with @daltonc from @Standard_Cap to talk about why that happens — and how the RL environment supply chain gets fixed.
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Dalton Caldwell
Dalton Caldwell@daltonc·
Applications for the latest Standard Capital Series A funding cycle are now open! Apply by July 21, hear back by July 31.
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Emir Karabeg
Emir Karabeg@emkara·
We're expanding our design/product team. If you're looking for complete ownership over your work while building alongside one of the fastest growing teams in SF, DM me.
Emir Karabeg tweet mediaEmir Karabeg tweet mediaEmir Karabeg tweet media
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Trigger.dev
Trigger.dev@triggerdotdev·
The best AI agents don't just generate text. They query, process, and act. @ClickHouseDB and @triggerdotdev are running a joint virtual hackathon to build exactly that. 7 days, EUR 10,000 in prizes, July 17 to 23. ↓
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Sid Rajaram
Sid Rajaram@sixtensor·
Introducing CLODO, trusted by @mercor_ai, @usnews, @UseCorgi, the U.S. Intelligence Community, and more. Describe exactly who you’re looking for, and find them every single time. 1.2B profiles. We find, enrich, and reach out to them for you. It’s that easy. Backed by @YCombinator, @CRV, @daltonc and @paultoo at @Standard_Cap, @louisberyl at Four Cities Capital, @theo, and more incredible angels. Book a demo today: clodo.ai/demo
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Arlan
Arlan@arlanr·
very productive session @Standard_Cap
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wei-wei
wei-wei@wuweiweiwu·
@daltonc Thanks for the support @daltonc ! Proud to be building with @Standard_Cap. For a walkthrough or tips to getting started, my DMs are open.
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wei-wei
wei-wei@wuweiweiwu·
AI writes all your code. Does it still work? That's the gap: coding agents are scaling output, but the same with bugs and incidents. The biggest bottleneck is QA: how can you make sure the code your agents just wrote doesn’t break everything? The best QA are the ones who know everything about your product. Today, we give that knowledge to Momentic’s most capable agent. Every Linear ticket, every PRD in Notion, every PR - Momentic knows all. In just the past few weeks, our agents analyzed 70k+ test failures and created 600 tests. Achieving a 73% PR merge rate, and it’s growing fast. We’re grateful for the trust of our customers, including Notion, Xero, Webflow, Retool, Runway, Bilt, and more.
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Dalton Caldwell
Dalton Caldwell@daltonc·
Since leading @hud_evals Series A, I recorded an interview with the founders to discuss what HUD is, who it's for, and why creating a toolset + marketplace for RL environments is such an interesting problem to work on. link below /cc @parth220 @jayendra_ram @seeklis
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Jacqueline Cheong
Jacqueline Cheong@JacquelineSYC19·
Our NRR last year was 183%. I found that out after a board meeting. Not because someone handed me the number, but because of how our board meetings actually work. Most founders describe board meetings as a report card to your investors. You give the three-month update, they ask a couple of questions, and you're done. Ours with @Standard_Cap are the opposite. We do eight board meetings in one full day, alongside 7 other companies at our stage, and we sit in on everyone else's. It's not you reporting to a board. It's everyone brainstorming together, and watching the other companies is where most of our ideas come from. At the last one, a founder broke down his financials so clearly it pushed me to go deeper into ours. We've always known our product-market fit is real. Customers who onboard don't churn, and they grow with us on their own. We'd just never tracked it that closely. Now we have the number to back it every single month: an NRR of 183%. I look forward to these board meetings, and I'm so grateful for them. These conversations are where our product and operational roadmap actually comes from. So if your board can't give you that, build it yourself. Find a few founders at your stage and run your board meetings for each other. Set aggressive goals, keep each other accountable, and learn from each other.
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