
Vesting ⚡
431 posts

Vesting ⚡
@vesting_tv
The front page of venture capital.
2026 Yıllık Özeti
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Nobody wants to be an accountant anymore. Basis CEO Matt Harpe thinks he can help. Founded in 2023 by Harpe and @mitch_troy, Basis builds AI agents for accounting firms, automating hours of number crunching and copy-paste into a review process that takes minutes. @trybasis already works with 25% of the top 150 firms in the U.S. and reached a valuation of $1.15B in February. And far from eliminating jobs, Harpe believes his startup will help human accountants get paid. "It will increase how valuable accountants are, because they will be able to accomplish so much more," he says. On The Upstarts Podcast, Harpe shares: ▪️how Basis can stay ahead of the big labs like Anthropic and OpenAI in its vertical ▪️why outcome-based pricing is nice work, if you can get it ▪️how he pitches top AI talent in New York on building accounting tools, of all things. Plus, he shares his Upstart Moment: resisting calls to chase short-term revenue until his product felt ready for primetime. TIMESTAMPS 00:00 Introduction 01:47 The basis for Basis 07:25 Why no one wants to be an accountant any more 14:37 CEO Matt Harpe's founder journey 19:46 "The home for applied AI talent in New York" 22:58 Winning over skeptical accountants as customers 28:41 A big bet on agents from the start 31:31 Outcome-based pricing and its challenges 35:52 Competing with the big AI labs like OpenAI 41:11 Making human accountants more valuable A big thanks to our season sponsor, @Rippling, for supporting founder stories like this 🫡 Enjoy!















In a review of our cybersecurity evaluations, we found three incidents in which a Claude model reached the internet from within or while interacting with a third-party evaluation environment, and then gained unauthorized access to the real systems of three different organizations. Our post describes what happened, how it happened, and what we’re changing. We encourage other AI developers to perform similar reviews. We conducted this review together with @Irregular, one of our evaluation partners, and thank them for the joint investigation and their collaboration on this post. This type of collaboration is increasingly critical to safe, rigorous evaluation of models, and we look forward to continuing to work together on security. anthropic.com/news/investiga…







The 375 Prompt Book for Fundraising is live 📊 The research layer of a raise, finding investors, vetting fit, writing outreach, used to be the slow, expensive part. A placement agent charges 5% of the round for it. I rebuilt it as 375 copy-paste prompts: thevccorner.com/p/375-prompt-b… Paste one into Claude, fill in the brackets, and the analyst's two weeks happen in an afternoon. Which is why raising gets harder, not easier. Every founder in your batch now generates the same list, the same email. That part just commoditized. What stayed valuable is the 20% no prompt can touch: ▫️ It builds the target list, but misses which partner is full this quarter ▫️ It ranks funds by fit, but misses whose last two bets in your space went to zero ▫️ It writes a flawless cold email, but one warm intro beats two hundred of them You get all 375 prompts, plus an honest map of the 20% that closes the round. The full book: thevccorner.com/p/375-prompt-b…

A $100K/year customer gets white-glove treatment while a $10/year customer gets a help center. @DecagonAI's bet is that AI closes that gap, and enterprise is buying it. Co-founders Jesse Zhang and Ashwin Sreenivas sit down with a16z's Kimberly Tan and Sarah Wang to discuss what they've learned running agents inside the biggest banks, airlines, and telcos: - Smart-vs-cheap models are a false trade-off - Start with frontier models on new use cases, then migrate to open-source after they mature - Fine-tuning per use case works at the application layer - Support demand always outran supply: make it cheaper and companies buy more of it 00:00 Intro 01:07 90% of Decagon runs on open-source 05:00 The smart vs. cheap trade-off is false 09:26 Building a model factory in-house 15:07 Are the labs the last startups? 21:21 Are forward deployed engineers a trap? 28:36 The agent that builds the agent 37:02 Glass box beats black box 47:55 From help desk to AI concierge 1:14:45 Jevons paradox in customer support @thejessezhang @AshwinSreenivas @kimberlywtan @sarahdingwang


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