Luke Grimstrup

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Luke Grimstrup

Luke Grimstrup

@lukegrimstrup

Founder | Product & Engineering Leader, Web3, Crypto, AI enthusiast.

Melbourne, Australia Katılım Kasım 2015
3K Takip Edilen873 Takipçiler
Luke Grimstrup retweetledi
Rahul Jain
Rahul Jain@rahulj51·
There are 3 types of burnouts I am seeing from AI: 1. Overwhelm from the changed role definition (aka this is not what I signed up for). 2. Overwhelm from the frequent context switches and spreading oneself too thin (aka I am losing track of all the agents. Nothing is ever finished) 3. Overwhelm from the fomo and denial (aka I need to be on top of this tech revolution. I can do this.)
Rohan Paul@rohanpaul_ai

New Harvard Business Review research reveals that excessive interaction with AI is causing a specific type of mental exhaustion ( or AI brain fry), which is particularly hitting high performers who use the tech to push past their normal limits. A survey of 1,500 workers reveals that AI is intensifying workloads rather than reducing them, leading to a new form of mental fog. While AI is generally supposed to lighten the load, it often forces users into constant task-switching and intense oversight that actually clutters the mind. This mental static happens because you aren't just doing your job anymore; you are managing multiple digital agents and double-checking their work, which creates a massive cognitive burden. The study found that 14% of full-time workers already feel this fog, with the highest impact seen in technical fields like software development, IT, and finance. High oversight is the biggest culprit, as supervising multiple AI outputs leads to a 12% increase in mental fatigue and a 33% jump in decision fatigue. This isn't just a personal health issue; it directly impacts companies because exhausted employees are 10% more likely to quit. For massive firms worth many B, this decision paralysis can lead to millions of dollars in lost value due to poor choices or total inaction. Essentially, we are working harder to manage our tools than we are to solve the actual problems they were meant to fix. --- hbr .org/2026/03/when-using-ai-leads-to-brain-fry

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dominatos
dominatos@_dominatos·
kinda funny, spent a couple days building a bot for 15-minute markets threw $80 at it and just let it run at first it lost a bit like -$10, which was expected fixed it a little and now the stats are sitting around a 93% win rate ended today roughly +$20 obviously not a guarantee and it could all break at any point but if I keep tuning it, might turn into something cool for now I’m just watching it, curious how it plays out
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Sam Bhagwat
Sam Bhagwat@calcsam·
icymi we wrote a new agents book: patterns for building ai agents it has everything you need to take your agents from prototype to production, like agent design patterns, the basics of security, etc reply to this tweet with BOOK and we'll dm you so you can get a copy
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Levi Munneke
Levi Munneke@levikmunneke·
EVERHONE who runs Cold Email seriously needs to have this. It's a GPT that does my full lead search in seconds. Like, Comment and I'll send you it for free. (last auto DM was broken, finally fixed it)
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Jainam Parmar
Jainam Parmar@aiwithjainam·
Fuck it. I'm sharing the 10 mega prompts that helped us automate all our work. • Strategy • Research • Marketing • Planning • Delegation Comment "Send" and I’ll DM you the file. (Follow me to receive it)
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Christian
Christian@coldemailchris·
This A-Z cold email system cheatsheet covers everything you need to know to send 10,000+ cold emails/day with 98% deliverability in 2025. It covers in-depth walkthroughs on everything from: > AI prompts for deep market research, TAM mapping, and ICP validation > Best-in-market cold email infrastructure and deliverability protocols > 3-step account sourcing to contact enrichment list building process > 3 useful data scraping & enrichment workflows to build out in Clay > Top 46 GTM tools to leverage in your cold email technology stack > 10 validated cold email script frameworks + 10 core messaging principles > Campaign testing frameworks for hitting KPIs as efficiently as possible > Optimal campaign metrics to monitor and how to action on each one Want this A-Z cold email system cheatsheet for yourself? 👉 Like + Comment "Email" and I'll DM you the downloadable PDF. [ Must be following to receive ]
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Zephyr
Zephyr@Zephyr_hg·
I spent weeks researching 2025's hottest AI opportunities. Found 50 business ideas that actually make money using current tech. Each idea includes revenue paths, MVP scope, and exact tech stack needed. Perfect for solopreneurs ready to capitalize on the AI boom before everyone else catches on. Skip months of market research and failed experiments. Comment "IDEAS" and I'll DM it to you (must be following)
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CryptoSoulz
CryptoSoulz@SoulzBTC·
I'm releasing 3 new indicators 1. VWAP 2. Footprint 3. Delta Bubbles They're free Who wants them?
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Luke Grimstrup
Luke Grimstrup@lukegrimstrup·
@PKycek Would the same work on crypto (primarily BTC) if you did this based on the US trading session for example?
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Pavel | Robuxio
Pavel | Robuxio@PKycek·
Some of the best trading strategies are shockingly simple. Here’s one that’s been around since the 90s and still works now:
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Luke Grimstrup
Luke Grimstrup@lukegrimstrup·
@rileybrown_ai Before going into prompts, what's missing is logical problem solving and systems thinking. If you understand the flow, referencing everything in the flow will provide valuable context that goes far beyond the context of the error message itself and helps it troubleshoot
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Riley Brown
Riley Brown@rileybrown·
"Yeah good luck if cursor can't fix your bugs" Here is my vibecoding routine if i get hit with hard errors. People think that when i get an error I just copy and paste it back into cursor and if that doesn't work i'm done. But here is my process when dealing with errors if simply copying the error message and pasting it into composer doesn't work: 1. try other AI models within cursor 2. copy the error message, revert to before we made the error, and add this at the end of the prompt. "do all this except last time we i gave you these instructions, you ran into this error [paste error message] 3. Then i'll try this ole reliable prompt that i got from: @tedx_ai -"Reflect on 5-7 different possible sources of the problem, distill those down to 1-2 most likely sources, and then add logs to validate your assumptions before we move onto implementing the actual code" 4. I will go to perplexity and ask what common errors in [stack i'm using] that leads to this error [insert error] 5. I will save my project and switch to windsurf (or vice versa if i started in windsurf). 6. ChatGPT Deep Research Question on the error (Last resort because it takes the longest) People don't realize I have been building all weekend and have not got fully stuck once... Legit i've been testing all the latest tech that interest me, testing desktop apps, computer use agents, mcps, and more! All in one mega repo. No manual organization. Just me, cursor, perplexity when needed, whispr flow, and vibes with fall back processes like this when errors occur.
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Luke Grimstrup
Luke Grimstrup@lukegrimstrup·
@chrisbora_ @btaylor This is where being a technical product manager or someone good at systems thinking will set you up for success if you can define these types of requirements in one shot.
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Chris Bora
Chris Bora@chrisdotbora·
Instead of manually verifying AI-generated code, we need a higher abstraction layer that looks like this: Feature: UserAuth { What: - "Handle user login" - "Issue JWT token" - "Track attempts" Boundaries: - "Max 5 attempts/hour" - "Token expires 24h" - "Passwords hashed" Success: - "Valid users login" - "Invalid blocked" - "Response < 200ms" } This shifts focus from HOW to: 1. Declaring WHAT we want 2. Setting BOUNDARIES 3. Defining SUCCESS CRITERIA The AI handles the implementation details.
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Bret Taylor
Bret Taylor@btaylor·
If a computer is generating most code, how do we make it easy for a software engineer to verify it does what they intend? What is the role of programming language design (e.g., what Rust did for memory safety)? What is the role of formal verification? What is the role of tests, CI/CD, and development workflows?
Bret Taylor@btaylor

The role of a software engineer is transforming from being the author of computer code to being the operator of a code generating machine. What is a computer programming system built natively for that workflow? backchannel.org/blog/autonomou…

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Luke Grimstrup
Luke Grimstrup@lukegrimstrup·
@richiemcilroy @cap Looks amazing. Great timing too as Loom are moving more features into their paid version (like video editing) that was the final straw for me. So very happy to try this out!
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Richie - oss/acc
Richie - oss/acc@richiemcilroy·
well... this blew up. People really want a Loom alternative. And @Cap is delivering just that 🫡
Richie - oss/acc@richiemcilroy

Reintroducing @Cap: The open source Loom alternative. 100% free locally with no usage limits. Powerful video editor, with support for screenshots, hotkeys, custom backgrounds & more.

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Luke Grimstrup
Luke Grimstrup@lukegrimstrup·
We're not quite there yet. I'm a huge fan of #Claude 3.5 and #ChatGPT, and use both heavily for day-to-day work as a massive productivity boost. Despite all the awesome #AI demos of it doing some cool things, stuff like this is a constant struggle for what I use it for.
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Luke Grimstrup retweetledi
DHH
DHH@dhh·
"Programmers are attracted to complexity like moths to a flame. The more convoluted the systems diagram, the greater the intellectual masturbation. Our commitment to resisting that is the key ingredient in this uptime success." world.hey.com/dhh/keeping-th…
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Luke Grimstrup retweetledi
Dan Martell
Dan Martell@danmartell·
Pro tip: There's never a perfect time for anything. Don't wait. If you do, it'll be forever.
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Luke Grimstrup
Luke Grimstrup@lukegrimstrup·
@threehourcoffee We've all been there! It's a mistake you make once and then are extra vigilant moving forward. It's a horrible feeling in the moment, but great to hear the team and customer base was ultra supportive! So lucky!
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Marie Ng 🦙
Marie Ng 🦙@threehourcoffee·
Ok so this week I messed up badly. It was one of the biggest face-goes-white-panic moments I've ever had in my life. I accidentally deleted users tasks, in Production 😫😫😫 But out of this super stressful event, two amazing things happened... 1. Our team got stress tested, and I think we passed (we're a team of 3) I messaged @NhiHemingway and Guille immediately, got in a Slack huddle, and after I said OMG about 10 times, we figured out a plan, and managed to execute it under pressure 2. Our customer response was simply amazing. It was one of those moments you think you're going to get a ton of refund requests and complaints. But instead we got around 70+ heartfelt emails of support, and encouragement. It turned one of the WORST moments into one where we felt so encouraged and motivated to keep going, and I can't thank our customers enough for taking time to offer those messages of support (and humor) instead of getting angry 💛 Pasting some of the responses below here, because we are all human and could use the reminder that it's ok to make mistakes, as long as we admit to them, try and fix them, and prevent them from happening again 😅
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Luke Grimstrup
Luke Grimstrup@lukegrimstrup·
Curious to see what happens with AI now. Opportunity for new entrants, or will it really be a deceleration in the space overall?
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Luke Grimstrup
Luke Grimstrup@lukegrimstrup·
@nurijanian More people need to ask "should we?" question. Love how you've distilled this down!
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Luke Grimstrup
Luke Grimstrup@lukegrimstrup·
Any one with a #waymo #SanFrancisco invite? Keen to try it out while we're out here over the next couple of days! Work your magic twitter!
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