AngelList

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AngelList

AngelList

@AngelList

Building the infrastructure that powers the startup economy. 🚀 Venture & Rolling Funds 🌐 Scout Funds ⚡ SPVs 💻 Digital Subscriptions

Katılım Aralık 2009
154 Takip Edilen406.2K Takipçiler
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AngelList
AngelList@AngelList·
“AngelList keeps getting cheaper and better. New products, more automation, cost goes down.” @JoshuaBaer If that matches what you’re looking for, we now support seamless fund migrations to AngelList. angellist.com/fund-migrations
Joshua Baer ⚙️@JoshuaBaer

I’ve been working with both @cartainc and @AngelList since they started. Carta keeps getting more expensive and crappier. Lots of mistakes, no customer service, 4% annual cost increase. AngelList keeps getting cheaper and better. New products, more automation, cost goes down.

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AngelList
AngelList@AngelList·
Starting today, every $20M-$250M fund on AngelList gets three new tools at no additional cost: - Scout Funds: turn your founders into scouts. - Co-Investment SPVs: deploy more into your winners, engage LPs. - Meet QP LPs: connect with qualified, interested QP investors. Our CEO @avlok shared the news here: x.com/avlok/status/2…
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AngelList
AngelList@AngelList·
What's the hardest part of building financial infrastructure for VC? It's not the scale. It's that the past keeps changing. Lawyers amend terms retroactively. Accountants revise their understanding. Memberships get split in divorces. @avyfain wrote about how our eng team makes it bulletproof anyway → angellist.com/blog/the-datab…
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avlok
avlok@avlok·
A new California law (FIP VCC) is forcing VCs to ask portfolio company founders about their sexual orientation, disabilities, and more – all so it can be reported to the state. We built a new system to help funds on AngelList comply without ever seeing individual founder responses. To preserve founder privacy everywhere, we've decided to make the system available to any fund for free, regardless of who they work with for fund admin. You can use it today: fipvcc.com
avlok tweet media
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AngelList
AngelList@AngelList·
A surprising pattern in our data: Single Family Offices anchor ~half of early-stage funds across all fund sizes That includes much larger funds, where anchoring requires multi-million dollar checks. University & philanthropic endowments don't appear as anchor LPs until funds hit ~$20M. Here’s what we saw for $20-$250M funds:
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AngelList
AngelList@AngelList·
This chart explains a lot of quiet tension in venture right now. Early-stage performance over the last decade breaks into three distinct vintage regimes, driven more by macro conditions than manager behavior. If you’re still thinking about recent vintages on a single curve, this is worth a closer look. Full context in our 2025 Fund Benchmarks Report 2025: angellist.com/data-center/fu…
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AngelList
AngelList@AngelList·
The report is built from AngelList data and is meant to be a practical reference for anyone thinking about early-stage venture, capital deployment, or portfolio construction. Curious to see how your portfolio lines up? Download the report today. angellist.com/data-center/fu…
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AngelList
AngelList@AngelList·
A few signals: - 2024-vintage funds show early signs of recovery - There’s no single playbook. Fundraising, deployment pace, and fund ops vary widely - $20M continues to emerge as an institutional inflection point, especially around audits and anchor LPs More in the report 👇
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AngelList
AngelList@AngelList·
What’s actually happening in early-stage venture right now? We just published the AngelList Funds Benchmark Report 2025, with a first look at 2024-vintage returns and new data on how early-stage funds are operating today. Here’s what we’re seeing 🧵
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Erik Syvertsen (3rik.eth)
Erik Syvertsen (3rik.eth)@Erik_Syvertsen·
A dollar works hardest in a startup. Current rules protect investors from risk of startup investing ... and from most of the reward. I’m in DC tomorrow meeting with Congressional offices on how policies like the INVEST Act can expand investment freedom. If you agree, email your Representative today.
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David Weisburd 🚀
David Weisburd 🚀@DWeisburd·
𝐁𝐑𝐄𝐀𝐊𝐈𝐍𝐆: 𝐖𝐡𝐚𝐭 𝐢𝐟 𝐚𝐥𝐩𝐡𝐚 𝐢𝐧 𝐯𝐞𝐧𝐭𝐮𝐫𝐞 𝐰𝐚𝐬𝐧’𝐭 𝐚𝐛𝐨𝐮𝐭 𝐩𝐢𝐜𝐤𝐢𝐧𝐠 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬 𝐛𝐮𝐭 𝐩𝐢𝐜𝐤𝐢𝐧𝐠 𝐭𝐡𝐞 𝐩𝐢𝐜𝐤𝐞𝐫𝐬? LPs spend endless hours chasing the next fund with big DPI, glossy brands, or early unicorns. But AngelList’s data science team uncovered something that turns this logic upside down. Abe Othman, who leads data science at AngelList, found that: - Past DPI doesn’t predict future outperformance — it can even be a negative signal. - The best GPs aren’t those who got lucky — they’re the ones still hungry. - And alpha lives where access and pricing are still inefficient. It’s the first time I’ve heard a quant team prove that venture capital behaves more like physics than finance. We’d like to thank @AlphaSenseInc for sponsoring this episode! #VentureCapital #LimitedPartners #AlternativeInvestments #FundofFunds #PrivateMarkets Link to Podcast in Comments Below 👇
David Weisburd 🚀 tweet media
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AngelList
AngelList@AngelList·
AngelList has spent over a decade building the infrastructure for the startup economy. Creating a space where founders can actually build and collide with one another is just another expression of that mission. If you want to be part of what’s taking shape in SF, either as a founder at @founders_cafe or as a builder on our team, links below.
Dasha@dasha_shunina

I spent weeks asking founders one question: Where do you actually (net)work best? The answers surprised me. 🔗Read the full article for @Forbes @AngelList @BainCapVC @IrinSon @coffeewithone @amandamhuang forbes.com/sites/dariashu…

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AngelList
AngelList@AngelList·
Trying something new: an intimate demo day at @founders_cafe tomorrow! If useful, we'll continue doing them. We’ve got 10 founders—ex-YC, ex-Nvidia, and Thiel Fellows who have previously received top-tier VC backing. Investors: want to join? Apply below. luma.com/q7zoq5i6
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AngelList
AngelList@AngelList·
🌁 If you are attending the inaugural @sfrubyconf, three current and former members of the AngelList team are taking the stage: @exAspArk on Building Cloud Data Infrastructure with Ruby @justinbowen on Building AI agents with Rails and of course, @og_chamod who will be doing a demo that is a continuation of his talk from earlier this month: from open-source Excel generation to cloud-hosted, graph-modeled financial statements and the AI tooling we’ve built around them.
Chamod Gamage@og_chamod

Recently gave a talk at SF Ruby about Zaxcel, an Excel DSL we built (recently open-sourced!) at @AngelList empowering our financial reporting at scale. Also wrote a blog post about how we turned a nightmare refactor into a novel approach to building Excel workbooks (link in 🧵)!

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