scott kaufman
131 posts


I built the ultimate GTM Engineer AI Toolkit that handles prospect research, outreach writing, meeting prep, and more in minutes.
This is a beginner-friendly walkthrough that shows you exactly how to set it up, use it at work, and personalize it to your business.
It can:
- Research real prospects and companies
- Score accounts against your ICP
- Write personalized cold outreach sequences
- Generate meeting prep briefs before calls
- Help you build a repeatable prospecting pipeline
- All using a free toolkit + Claude Code / Codex.
This is for SDRs, founders, marketers, and GTM operators who want to use AI to do more at work without buying another expensive tool.
I break down the full workflow step by step in the video.
👇 Comment "GTM GUIDE" and I’ll send you the full toolkit.
(make sure you're following me so I can DM you)
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Today we are launching @openwork_ai, an open-source (MIT-licensed) computer-use agent that’s fast, cheap, and more secure.
@openwork_ai is the result of a short two-day hackathon our team decided to hack, which brings together some of our favorite open source AI modules into one powerful agent, to allow you to:
1. Bring your own model/API key (any provider and model supported by @opencode is supported by Openwork)
2. ~4x faster than Claude for Chrome/Cowork, and much more token-efficient, powered by dev-browser by @sawyerhood (legend)
3. More secure - contrary to Claude for Chrom/Cowork, does not leverage the main browser instance where you are logged into all services already. You login only to the services you need. This significantly reduces the risk of data loss in case of prompt injections, to which computer-use agents are highly exposed.
4. Free and 100% open-source!
You can download the DMG (macOS only for now) or fork the github repo via the link in bio (@openwork_ai).
Let us know what you think (or better, send a pull request)!
Claude@claudeai
Introducing Cowork: Claude Code for the rest of your work. Cowork lets you complete non-technical tasks much like how developers use Claude Code.
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The best agents for software development are becoming the best agents for everything. Droids are the best software development agents in the world, reaching #1 on Terminal-Bench.
We have raised $50M from NEA, Sequoia Capital, J.P. Morgan, Nvidia, Abstract Ventures, and other industry leaders including Frank Slootman, Nikesh Arora, and Aaron Levie.
Today, Droids are available to anyone, with any model, in any interface: CLI, IDE, Slack, Linear, Browser.
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Assuming this is SaaS sales, have them apply to SV Academy. Basically built for this.
Don’t bother having them read books like some suggest here.
All they need is to land a job as a BDR/SDR (entry level sales role) that doesn’t require any previous experience. From there the rest will take care of itself
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Yes! Check out the bogelheads movement and some of the books they recommend.
The reality is that indexes beat 90% of active funds over a 5-10 year horizon. Time in the market beats timing the market.
And they are dirt cheap.
0.03% for VTI vs 1%+ for an advisor. Compound that over decades and you’re talking serious dough.
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something I noticed in our Wealth Report:
76% of wealthy founders manage their own investments instead of using advisors.
And as net worth climbs, they actually use FEWER financial advisors.
Amongst a lot of my successful founders buds, the tends to be the move: they actively trade individual stocks, sometimes they win a little, mostly they underperform, and then they just moved most $$$ into the index.
I think you can do that without an advisor btw and I’m not in favor of most fee based advisors.
Is being cheap with fees one of the secrets to staying rich? Or are most advisors just that bad?

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@lennysan @gleanwork connects to all your internal apps natively (no coding).
Engineers use it to help with on-call, troubleshooting code, etc across tools like GitHub, Jira, Conflunece, Slack.
setup to production is 2 weeks across millions of docs.
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Is your company using ChatGPT, or a custom GPT, or a tool you've built yourself using some AI APIs to make your non-eng teams more efficient day-to-day? I'd love to know!
I'm looking for examples of internal AI products already making teams legitimately more productive, especially taking load off engineers.
e.g. a GPT to help you analyze experiment results, a GPT to write FB ad copy, etc.
Please share!
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Buffett, Active Investing and Index Funds...
In 2008, Warren Buffett issued a challenge to the hedge fund industry, and a million-dollar bet was made.
Buffett's position was that, including fees, costs and expenses, an S&P 500 index fund would outperform a hand-picked portfolio of hedge funds over 10 years. The bet pit two investing philosophies against each other: passive and active investing.
Buffett picked the S&P500 Index. The hedge funders picked their actively managed funds. At the end of ten years, they looked back and Buffett won.
A recent article in Bloomberg reinforces this point. Only one equity mutual fund, the $7.1B Baron Partners Fund, has outperformed the Invesco QQQ ETF (Nasdaq ETF) over the past 5, 10 and 15 years.
Said differently, passively investing in the Nasdaq ETF exposed you to the gains of the best companies of this era without you having to do any work or diligence. All the best companies were part of the ETF. When one of those company lagged, their composition in the index fell or dropped all together. And when a company did well, their composition in the index would increase or they were added if they weren't part of it beforehand.
Passive investing allowed the ETF manager to define simple rules and then do all the work for you. The companies it picked, because of its rigid rules, turned out to be far superior to those picked by active investors. So much so that only ONE fund (out of thousands) managed to beat the ETF.
The lesson is that for most people, they will find that this is the superior method for investing in the stock market. Allocate some money (say each month) to a very low cost ETF and then let the ETF manager, natural selection and compounding do the rest.
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@sweatystartup @maxclark Read up on the bogelheads community and three fund portfolio.
In aggregate, index funds like VTSAX outperform 90% of all active managers, including a tech stock concentrated portfolio.
Sure tons of upside by picking individual stocks, but the data doesn’t play out over time.
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I sold some stock today.
I had $3.15m of exposure (85% meta, googl, aapl, msft, Amzn, nvda, amd) but I sold $1m of it after this big run up. Only had $700k of cash before the sale.
Going to cycle treasuries and wait for real estate buying opportunities.
I trade 1x a year max. Still have a ton of exposure. It was just too much.
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@AiBreakfast @nonmayorpete @sudu_cb @heyBarsee @rowancheung @Scobleizer @jennyai @DrJimFan All included here twitter.com/i/lists/164333…
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Personal favorite AI twitter follows, in no particular order:
@nonmayorpete - Top tier AI reporting
@sudu_cb - AI engineer
@heyBarsee - GPT-5 the person
@rowancheung - AI Twitter machine
@Scobleizer - The Curator
@jennyai - The fun AI news
@DrJimFan - IRL smart person
@SmokeAwayyy - AI Hypebeast
@mreflow - Future GOAT
@tszzl - anon discovered AGI
@gfodor - anon genius
Follow them all and you won't miss a thing 🖇️
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@elonmusk Better search with high level filters. (E.g. most views/retweets/comments over a given time period)
Better discoverability of new people to follow (e.g 100 people you follow also follow this person that you aren’t following)
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@arrowmvn Disagree. Decision makers are incredibly busy and already get dozens of cold emails a day, most are relevant. Relevancy is critical but you need it all to stand out. Personalization + relevancy + pattern interrupt.
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