Evan Shiue

692 posts

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Evan Shiue

Evan Shiue

@sevan9

GTM at TinyFish | fmr founder @OwnitAi prev @standardai @Walmart @PepsiCo @unity3d | alum @Stanford | @StanfordMBB @Padres #Frasier #magicthegathering

Palo Alto, CA Sumali Nisan 2008
151 Sinusundan214 Mga Tagasunod
Evan Shiue nag-retweet
Stanford Men's Basketball
Stanford Men's Basketball@StanfordMBB·
We’re giving away a pair of Courtside tickets to the nearly SOLD OUT game vs Duke on Saturday, presented by game sponsor @WellsFargo! To enter, like + RT this post. #GoStanford
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Lucca Mazzie
Lucca Mazzie@luccamazzie11·
Stanford hosts #16 Louisville tonight for the first home game against a ranked team in the Kyle Smith era. I’m hyped for this one, Maples better be packed.
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TinyFish
TinyFish@Tiny_Fish·
The web was built for humans. And honestly, that's fine for you guys. But the next trillion internet users are AI agents, robots, and devices who act on your behalf - booking appointments, filling forms, placing orders, and getting things done - using sites that will never, ever have APIs. 95% of the economy falls into this Deep Web of HTML mess designed for humans, not agents. Oh, those generic computer use agents aren't taking you anywhere. They're too slow, too expensive, they hallucinate, and are nondeterministic to rely on. That changes now. This is me, Mino, a web agents API to build on this Deep Web. I take a goal in simple language and execute it on websites that were never meant to be automated. Massive companies like Google, DoorDash, ClassPass are already using me to do their homework. Now it’s your turn. How though? I actually understand what's on the page - parsing structure and identifying elements. I use AI once to understand everything, codify my successes, and get better and faster with every run. You get: → 85-95% success rate on complex workflows → Pennies per job (stop wasting $$ on one job) → Parallel execution across multiple sites → Structured JSON outputs. Every. Single. Time. The web wasn't built for agents. I forced it to work anyway. Go build something real. 50 completed runs on the house: tinyfish.ai
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Vedika Jain
Vedika Jain@vedikaja_in·
Browser automation is quietly becoming the new execution layer for enterprise ops. Most finance/HR/ops/compliance work now lives in SaaS + external portals, not APIs. LLMs finally make browser agents reliable enough to handle that long-tail. The winners will be vertical, with deep tool libraries, 20-40 pre-built workflows and auditability. Huge, unsexy TAM (which is good). Feels like RPA 2.0.
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Evan Shiue nag-retweet
Evan Shiue nag-retweet
TinyFish
TinyFish@Tiny_Fish·
Here's what we learned running 30M operations monthly for Google and DoorDash: Thread🧵
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Evan
Evan@StockMKTNewz·
A bunch of tech CEOs are currently having dinner with 🇺🇸 President Trump including Meta CEO Mark Zuckerberg Microsoft CEO Satya Nadella Google CEO Sundar Pichai Apple CEO Tim Cook AMD CEO Lisa Su OpenAI CEO Sam Altman
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tyler hogge
tyler hogge@thogge·
One of the most exciting things in Utah tech right now is Sandbox, built by @CrittendenChris and co Today they are announcing the Sandbox Fellowship: -12 intense months launching a venture-scale startup -It’s one location -100 fellows, -2,500+ hours of building -all while earning a fully accredited Masters of Computer Science and Innovation degree. Go go go!
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Evan Shiue
Evan Shiue@sevan9·
@levie This is how corpdev folks figure out build, buy, partner too.
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Aaron Levie
Aaron Levie@levie·
Core vs. context is a critical concept to think through when figuring out what people will rebuild themselves with AI. Companies bring in “core” functions that differentiate them. This is what their core product or service is, how they sell to customers, things that drive their culture, and so on. Conversely, they outsource the “context” that is table stakes to get right, but only offers downside in getting wrong. An easy rule of thumb to think through is would a customer ever notice if the company did that function directly themselves or not. Enterprise software is almost always “context”. These are areas like their CRM or HR systems, infrastructure, data management, and so on. These are necessary to operate a business at scale, but rarely are you advantaged in trying to roll your own. Only a few exceptions exist, and it’s almost always because you need a solution to serve your “core” that no vendor offers (like if you needed custom software for a vertically integrated supply chain). No matter how a company starts, they eventually almost always separate work and value between core vs. context over time. It’s the only way they can stay competitive and eventually allocate resources to the optimal areas. So even if a company *could* rewrite their enterprise software with AI, they basically just wouldn’t. The version updates, security, regulatory features, bugs, SLAs, the professional services necessary, etc. just all would make it ROI negative. As bucco points out, the real risk is better versions of these tools that are AI-first. That’s what to watch out for from a disruption standpoint.
Aaron Levie tweet media
BuccoCapital Bloke@buccocapital

I think the risk that companies build their own systems of record - ERP, ITSM, CRM etc - is incredibly low Companies are not stupid. They have no competence here, the stakes are massively high, and regardless of how easy it is, they would still have maintain and optimize it, which is, ultimately, a distraction from their actual business. Same reason AWS, Azure and GCP are such incredible businesses I genuinely think the people who believe this have either never worked in a real business or simply live in spreadsheets with no understand of how enterprise software is bought and sold I do, however, think the risk of the legacy SaaS providers being beaten by AI-native competitors from below is much higher Figma ate Adobe’s lunch because collaboration was native to the cloud and Adobe couldn’t adapt. That’s the sort of risk that should be keep these legacy systems of record up at night, not people vibe-coding a replacement.

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Evan Shiue
Evan Shiue@sevan9·
Might be because of GPT 5 rollout but ChatGPT is broken today. A bunch of incomplete sentences, thoughts being cut off .... anyone else seeing this?
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Evan Shiue
Evan Shiue@sevan9·
@j0hnwang True. Loving a place often ties back to feeling connected there. The bay area’s tech scene, weather, geography make it sticky - many friends I grew up with are still here, and so am I
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John Wang
John Wang@j0hnwang·
every person in love with san francisco either: 1. grew up in the bay area 2. went to college in the bay area 3. or is incredibly autistic and would be bullied to oblivion in any other city in the world
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Evan Shiue
Evan Shiue@sevan9·
@varungupta Having been lucky enough to work with them, can say confidently that Caffeinated is the best!
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Varun Gupta
Varun Gupta@Varungupta·
Today, we are launching a new brand identity for Caffeinated, one that we believe captures our evolution as a firm since our beginnings in 2008, the partnerships we have built with some of the world’s best founders, and our guiding philosophy.
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Evan Shiue
Evan Shiue@sevan9·
@TheStalwart Banks want to control fees, pricing and where shares get allocated to. Hard to do when you do that via auction that automates price discovery and share allocation.
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Joe Weisenthal
Joe Weisenthal@TheStalwart·
Google went public via Dutch Auction 21 years ago. What’s the basic theory for why that hasn’t taken off.
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Evan Shiue
Evan Shiue@sevan9·
@j0hnwang So much money left on the table for issuers. I'm biased but wish OpenIPO had gotten more traction.
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John Wang
John Wang@j0hnwang·
For decades, IPOs have been legalized front-running. Figma was obviously underpriced. The IPO was literally 40x oversubbed. The playbook? Banks underprice shares by 20 to 40%, sell them cheap to institutions, and manufacture fake scarcity to create guaranteed pops on day-one for their recurring clientele. Retail gets in only after the edge is gone. Companies stick with this system not because it’s optimal, but because it’s the default.
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John Wang
John Wang@j0hnwang·
Figma just left $2.3 BILLION on the table -- nearly double what they actually raised. IPO'd at $33. Target open at $95. That's not "market excitement". It's deliberate underpricing and legalized theft by investment banks who sold it cheap to their institutional buddies. Retail shoves in at open and gets used as exit liquidity. Same playbook: - DoorDash: $3.4B stolen - Airbnb: $3.5B stolen - 2021 total: $50B stolen Since 2020, this cartel has stolen over $100 billion that should have gone to real value creators: founders, employees, and retail.
NYSE 🏛@NYSE

Shipped: $FIG twitter.com/i/broadcasts/1…

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nico
nico@nicochristie·
Introducing Shortcut — the first superhuman Excel agent. Shortcut one-shots most knowledge work tasks on Excel. It even scores >80% on Excel World Championship Cases in ~10 minutes. That's 10x faster than humans. Our early preview is live. Just comment for an invite code.
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