Kevin Zhang

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Kevin Zhang

Kevin Zhang

@kevinzhang

In search of ta'veren. Partner @BainCapVC, prev. @Fundera & @ColumbiaEntrep.

San Francisco, CA Katılım Mayıs 2009
1.5K Takip Edilen4.7K Takipçiler
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Jennifer Li
Jennifer Li@JenniferHli·
Jordi: "Your customer page is absolutely stacked" Han (thinking): "It's not even 1% that we listed"
Han Wang@handotdev

thank you @tbpn for having me and giving our customers a well-deserved shoutout

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Kevin Zhang
Kevin Zhang@kevinzhang·
very unclear if VC is a real job
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Kevin Zhang@kevinzhang·
After first partnering in the Series A, we're thrilled to return to co-lead the Series D for Hightouch. The best founders can continually expand and redefine their scope of impact. Thank you @kashgupta_, @tejasmanohar, @joshwget and excited about your journey ahead!
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Tejas Manohar@tejasmanohar

i'm really excited to share that we've raised a 150M Series D valuing @hightouchdata at $2.75B WSJ broke the news this morning, which is honestly a "pinch me" moment as a founder there's already AI for legal, customer service, and coding we're building the AI platform for marketers.

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Bain Capital Ventures
Bain Capital Ventures@BainCapVC·
The chaos around AI and marketing is real, but @HightouchData saw through it early. They understood something simple: AI only works in marketing when it runs on your actual data. So they built agents that research audiences, create branded content, and activate markets across platforms. That clarity has driven 100%+ growth for two straight years and led enterprises like @Dominos, @PetSmart, @DraftKings, @tryramp, and @Whoop to put it into practice. They just announced a $150M Series D at a $2.75B valuation to keep growing. Congrats to the founders @kashgupta_, @tejasmanohar, @joshwget, and the whole team on this industry-defining platform. cc: @KevinZhang wsj.com/cmo-today/gold…
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The Wall Street Journal
Exclusive: Investors are confident that AI software will change marketing. A new Goldman Sachs-led funding round values one startup at $2.75 billion. on.wsj.com/4tRznik
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Guanghan Ning
Guanghan Ning@quietnning·
Personal news: After ByteDance Seed and a stint as an independent researcher, I'm joining @fleet_ai as a Member of Technical Staff on the research team 🚀 Building Witness-inspired puzzle environments for ARC-AGI-3 convinced me that RL environments are one of the most under-explored bottlenecks on the path to truly capable agents. The team, the technical vision, and the open problems are a perfect fit. It’s exactly where I want to spend my next chapter. If you're interested in building and scaling dynamic, complex environments that push the boundaries of agentic reasoning, would love to connect.
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Mihir Garimella
Mihir Garimella@mgarimella·
📣 We just raised our $45M Series B from @TCVTech and @firstharmonic, with participation from @BainCapVC, @firstround, and @AlkeonCapital. Sales is the most expensive function in most companies — and one of the hardest. Hundreds of accounts, different context, different stakeholders, different dynamics, and a different path to close. No one can do that perfectly. Critical things get missed. So we gave every account its own AI agent — working 24/7, maintaining full context, progressing it through the funnel, and guiding reps and leaders on what to do next. The greatest privilege has been building alongside companies like @Samsara @tryramp @ironclad_inc and @attentiveHQ — enterprises with thousands of sellers who are already living in the future. There are only two unbounded upside problems out there: building and selling. Every company sells. and @useactively is building the system they'll all run on. We’re excited to pull every revenue team into the future we know is inevitable.
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Tyler Kim
Tyler Kim@tylertaewook·
I joined National Design Studio as a Member of Technical Staff in D.C. AI is reshaping how people and systems interact, yet the government services millions rely on are still slow and hard to use. We’re bringing frontier technology and design to rethink these experiences end to end for the entire nation. The team @jgebbia and @as400495 has assembled is exceptional, and I’m excited to play my part. Onwards!
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Kevin Zhang
Kevin Zhang@kevinzhang·
Another flawless day at Stanford
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Kevin Zhang@kevinzhang·
@tylertaewook i'm sure campus misses you too! but serving your country is even more Columbia than attending🤗
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Bain Capital Ventures
Bain Capital Ventures@BainCapVC·
After 7 failed ideas, Han hit “pivot hell”—a week of no sleep, staring at the ceiling, trying to make something work. Then Mintlify clicked. Today it powers docs for 20K+ companies, reaching 150M+ people and, increasingly, AI agents. ~15% of doc traffic was AI a year ago. Now it’s ~50%. Soon, maybe 90%. Docs aren’t pages anymore. They’re context. The companies that win will be the ones that manage it best. Watch the full story ↓ @handotdev @hahnbeelee @mintlify @kevinzhang
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Tejas Manohar
Tejas Manohar@tejasmanohar·
every marketer I talk to is banging their heads against a wall right now "how do I get AI ads to not be... so bad?" we just launched Ad Studio @HightouchData ✅ we know your brand ✅ we know your existing creative ✅ we know what works in your ads ps: you can edit without re-prompting
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Aakash Gupta
Aakash Gupta@aakashgupta·
Mintlify just got valued at $500M. For a documentation company. That sounds absurd until you understand what documentation means when AI agents are the primary consumers of your API. Mintlify auto-generates llms.txt files and MCP servers for every customer's docs. That means Cursor, Claude, and ChatGPT can all ingest a company's product docs directly, without crawling HTML or burning tokens on noise. When an AI agent tries to integrate with your product and the docs are incomplete, it doesn't file a support ticket. It picks a competitor. Zero signal back to you. Documentation just became your highest-leverage sales surface, and most companies still treat it like a chore nobody wants. The customers tell you everything. Anthropic, Microsoft, Coinbase. Over 20% of recent YC batches run their docs on Mintlify. They acquired Trieve for RAG search and Helicone for LLM observability in the last year. They're assembling the full stack between "agent has a question" and "agent gets the right answer." They even ship agent analytics: which AI agents visited your docs, which pages they read, which queries they ran through MCP. That data didn't exist 18 months ago. Now it's the equivalent of seeing every autonomous system that evaluated your product and what it couldn't find. a16z and Salesforce leading at $500M is the market pricing in a bet that documentation becomes the primary interface between AI agents and every software API on the internet. The boring infrastructure layer always gets repriced last.
Han Wang@handotdev

We just raised a $45M Series B at a $500M valuation led by @a16z and @SalesforceVC to build the knowledge infrastructure for AI

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