Drew Venerable
52.9K posts

Drew Venerable
@venerablejdrew
Co-Founder @fusetalent | Recruiting for Startups | Chicago to SF | Dream Chaser | Intentional Risk Taker | Lifelong Learner |
SF | Chicago | Tampa Katılım Aralık 2011
2.6K Takip Edilen1.6K Takipçiler

@devahaz And no one can come close to the same liquidity opportunities the labs are giving early employees now.
They've put billions back on the street.
If you really do think AGI is near - working for then is you're ticket out.
It's a different game.
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@scottific @ExaAILabs How is it different from using exa search and websets mcp integration with Claude ?
Just curious.
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Been using this daily for the past few months, for:
- ai research (pull the latest research on any given topic into the context window)
- recruiting (find niche hires based on any profile you give it)
- finding customers (similar to recruiting)
- programming (get the right docs and technical blogs from other engineers who have solved a given problem)
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Introducing Exa for Claude:
Give Claude access to billions of websites, docs, papers, people, companies, and more. Exa turns Claude into a recruiter, a salesperson, a researcher, a reliable engineer, all with one plugin.
Run in terminal: claude plugin marketplace update claude-plugins-official && claude plugin i exa@claude-plugins-official && claude "call mcp__plugin_exa_exa__authenticate (a deferred tool available to you, guaranteed)"
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@pitdesi New acquihire just dropped and only a few have deep enough pockets to compete
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wow - SpaceX either acquires Cursor for $60B or pays Cursor $10B for their work together.
I did not see that coming. What a wild ride.
SpaceX@SpaceX
SpaceXAI and @cursor_ai are now working closely together to create the world’s best coding and knowledge work AI. The combination of Cursor’s leading product and distribution to expert software engineers with SpaceX’s million H100 equivalent Colossus training supercomputer will allow us to build the world’s most useful models. Cursor has also given SpaceX the right to acquire Cursor later this year for $60 billion or pay $10 billion for our work together.
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there’s a young woman in tech (very active on x) that i’ve looked up to for the better part of 3 years
just very delightful internet presence, heard nothing but great things from other founders initially, clearly a titan of the industry
met her irl a few months ago and she was so unimaginably rude to me that it encouraged me to forge my own path and work for myself. minutes before meeting her i would have set everything aside for her to be my boss
such a shame, but i look up to her and think of her fondly nonetheless — would not have found my calling otherwise
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Mom and stepdad have worked physical jobs for nearly nothing their entire lives. Stepdad took in 7 kids when he met my mom and never accepted child support from my dad. Did whatever he could for us to have a chance at a real life. Took them to dinner Friday night and let them know I would be retiring them very comfortably for the rest of their lives. One of the best moments of my life.
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@hellosprice @AudaciousHQ We've built something very similar at Fuse! 4 person team. No one write notes, updates ATS, or email replies to outbound.
Now we're trying to automate warm outbound as well!
Would love to check it out
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We automated 80% of recruiting at @AudaciousHQ and I'm hosting a workshop mid-April to show you exactly how.
Here's what our system does right now:
1. Every candidate we meet gets matched against every open role in our portfolio. Automatically. No spreadsheets. No "let me think about who this might be good for."
2. Personalized outreach goes out warm without anyone writing a single message. We have detailed notes on 5K+ engineers and sales leaders. Their background, what they care about, what they're looking for next. We know their dog's name.
3. Within 30 seconds of ending a call, the candidate is tagged in our ATS, notes are uploaded, and a write-up is drafted.
4. And we built a recall system you can talk to. Describe the person you need: "senior engineer, distributed systems, wants to go early stage, based in SF". It pulls the best matches from our entire database instantly.
We went from drowning in admin to spending all of our time on the only thing that actually matters: building real relationships with people.
Comment below if you want the details.
cc: @jatingargiitk the master mind!
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Cause they're always fundraising bruv
Pedro Domingos@pmddomingos
TL;DR: The tale of Mythos’ exploits is wildly exaggerated.
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@big_business_ @kanyewest Using the word rapper is very intentional by these outlets too...
Wonder who they're owned by..
Let me shh..
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AIs using the browser is insanely inefficient
my colleague Nimna created a claude skill for cowork to make it 800% faster - and open sourcing it
comment “skillz” here and i will get you to browser-optimizer skill
kicker: it even reverse-engineers any web app's hidden API in under 2 minutes … extending claude’s chrome extension
the problem: people will set up a sophisticated AI agent and then have it click through a web app one item at a time. like hiring a Formula 1 driver and making them push the car.
every modern web app is a thin UI layer over an API. the data you want is one fetch() call away. but most people -- and most AI agents -- default to the human path: navigate, click, wait, read, repeat.
the speed difference is NOT marginal. bulk API calls vs. manual page navigation is routinely 5-50x faster. i watched a workflow go from 2+ hours of manual clicking to 3 minutes by just intercepting the app's own API calls and reproducing them programmatically. It also includes workarounds for common blockers like PII filters on browser extensions, infinite scroll pages, and apps that use WebSockets instead of REST.
the hierarchy is simple. if the app has a direct API, use it. if not, check if the data is already sitting in the browser's memory (most React and Next.js apps dump everything into window globals on page load). if not, open the network tab, click ONE thing, find the API pattern, then bulk-fetch everything. DOM scraping is the last resort, not the first instinct.
this matters because AI agents are doing most of the repetitive work inside web apps. the agents that figure out the programmatic shortcut will be 10-50x more productive than the ones that simulate a human clicking around. same as how revenue per employee is about to go up 3-10x -- the gap between good and bad automation is enormous.
manual clicking is the new manual data entry. it's a failure state NOT a strategy.
(comment “skillz” here and i will get you to browser-optimizer skill)
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@Jason You must not be familiar with his game.
Kanye has hits for hours.
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Drew Venerable retweetledi

The worst thing you can do is just dabble with AI a *little bit*. That’s the spot where you use it and see its capability but over-generalize on the use cases and how easy the automation is. You almost have to use it too much, develop psychosis, then get to the other side and realize how much care and feeding and management of the agentic workflows is required. On that other end you realize you actually need to probably hire more (or new) people to then do all the new things agents can do.
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@saranormous "non-technical but high agency employee"
Definitely stealing that one.
Great read.
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I saw three tweets about Anthropic internally believing they're 6 months away from AGI
Then a few minutes later - more security breaches at red hot early stage startups.
there's dozens of movies about what happens next...
sarah guo@saranormous
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