Stu Green

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Stu Green

Stu Green

@stulogy

Founder @ AILOGY Product Studio. Sold 2 startups at $25k MRR, working on 3rd.

Jacksonville, FL Katılım Nisan 2009
608 Takip Edilen1K Takipçiler
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Stu Green
Stu Green@stulogy·
Today I am one year sober and about to pick up my blue chip. Looking back on the last year, I think about the hurdles I’ve had to overcome. I’ve had to learn how to show up as a father, a solo parent, and a small business owner trying to rebuild life from the ground up. There have been moments of incredible joy and elation, and moments of deep sadness and tears. Along the way I’ve learned how to be someone who can help and encourage others. I’m humbled by the people who showed me what living sober looks like, and I’m grateful to everyone who helped me get here. Most of all I’m thankful to my Creator who put air in my lungs and gave me another chance to live and help others. Today is a good day to be alive. I’m truly grateful. One day at a time. 🙏
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Stu Green
Stu Green@stulogy·
My favorite Claude Claude code response yet...
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Stu Green
Stu Green@stulogy·
So here it is! A runway dashboard for agencies. 5 hours work. Go get some deals!
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Stu Green
Stu Green@stulogy·
I built a tool with Claude Code to help me with my runway calculations. Great for small businesses who work on a project/contract basis.
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Stu Green
Stu Green@stulogy·
Composer 1.5 really is dumb.
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Stu Green
Stu Green@stulogy·
Claude Code talks back to me in a much friendlier way than any engineer ever did, which is weird because surely it got its learning data from engineers? 🤔
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Stu Green
Stu Green@stulogy·
Someone apparently gave OpenAI access to their bank account, Stripe, hard drive, everything and told it to create a business. Claims they made $300k. I call complete bullshit. I spent half my day wrestling with Claude to fix bugs in my code. It would fix one bug, create another. The context window wasn't big enough to see both problems simultaneously. I had to keep stepping back, having it audit the whole codebase, then diving back in. Turns out the issue was simple. The AI was using OAuth 1 authentication because it found some random documentation somewhere in the codebase, but my code was running OAuth 2. Once I figured that out manually by reading the actual docs, I explained it to the AI and it fixed the issue immediately. I trusted that the AI knew what it was doing. I spent an hour or two debugging, burned $20-30 in tokens, and got increasingly frustrated. The most aggravating part wasn't the time or money. It was discovering how simple the fix was after I stopped trusting the AI and started thinking for myself. I'm working with Sonnet 4.6 and GPT 5.4 – basically the latest models. If they can't handle a simpe authentication mismatch, how exactly is some agent creating a $300k MRR business autonomously? The gap between AI hype and AI reality is an ocean.
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Product Hunt 😸
Product Hunt 😸@ProductHunt·
We're teaming up with @ycombinator to get builders to launch. Schedule your launch for tomorrow, tag "YC application." and @aaron_epstein will review launches. Top ones could get a YC interview + potential funding. 👇
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Tech Layoff Tracker
Tech Layoff Tracker@TechLayoffLover·
Oracle is confirmed cutting 20,000-30,000 jobs but sources inside are saying the real number is closer to 45,000 I'm hearing this isn't just about AI data center costs Word is they've been running pilot programs with AI agents doing database administration work for 8 months One source told me a team of 47 DBAs in Austin got replaced by 3 senior architects plus automated Oracle Cloud Infrastructure management The agents are handling routine maintenance, performance tuning, backup verification - stuff that used to require armies of L4 and L5 engineers Internal metrics show the AI systems are catching 94% of database issues before human intervention needed But here's the terrifying part: they're not just cutting the obvious roles I'm hearing entire solution engineering teams are getting eliminated - the people who customize implementations for enterprise clients Apparently the new AI workflow can generate custom database schemas and migration plans in 6 hours instead of 6 weeks One insider said they watched a 12-person team that handled Fortune 500 implementations get told their roles were "redundant effective immediately" The severance packages are allegedly massive - 18 months salary plus equity vesting acceleration But that's because Oracle knows these people can't find equivalent work anywhere Every other enterprise software company is running the same playbook One source said it best: "We're not getting laid off, we're getting archived"
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Stu Green
Stu Green@stulogy·
Introducing Bleet, a product I designed, built and shipped in 4 months.
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Stu Green
Stu Green@stulogy·
Cursor just decides to update itself, and then gives me a whole new UI to learn. Again.
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Stu Green
Stu Green@stulogy·
I thought it was interesting to read the comments here, especially the part on how much OpenClaw tokens cost. x.com/alliekmiller/s…
Allie K. Miller@alliekmiller

oh wow - i went to the sold out Open Claw meetup in NYC last night. let me tell you what i learned. 1) not a single person thinks that their setup is 100% secure 2) one openclaw expert said he has reviewed setups from cybersecurity experts and laughed. his statement to me was: "if you're not okay with all of your data being leaked onto the internet, you shouldn't use it. it's a black and white decision" 3) pretty much everyone is setting up multiple agents, all with their own names and jobs and personalities 4) nearly everyone used "him" or "her" to refer to their claws, even if they had robot-leaning names. one speaker suggested to think of them as "pets, not cattle" 5) one guy (former finance) built out a whole stock trading platform and made $300 his first day - he brought in a *ton* of personal expertise (ex: skipping the first 15min of market opening) and thought the build would be much worse without his years of experience in finance 6) @steipete is basically a god to everyone in that room... also the room had 2021 crypto energy - i don't know if that's good or bad 7) token usage is still a problem - spoke to one person who's spending $1-$2k a month on openai plans, very token optimized. he said he is going through ~1B tokens per day across all of his claws (there is a chance i'm misremembering and it's actually 1B per week, but i'm pretty sure it was daily). 8) people are very excited for more proactive ai (ai that prompts *you* as opposed to the other way around) - one guy said he receives a message in discord, he doesn't know whether it's from a human or an ai, he doesn't care about distinguishing between the two, and he replies in the same way regardless 9) i asked if people are happy - they said they're joyful and stressed at the same time 10) i asked if people feel they have agency - they said they feel fully in control and completely out of control at the same time 11) i would love to see more women at these events - the fake promises of ai democratization feel especially painful in a room that's out of balance with even the standard tech ratio (i think standard is about 25-30%, this was maybe 5%) 12) i asked if it changed people's daily habits/schedule - everyone said their sleep has gotten worse since harnesses came out (but about half wondered if it was something else in their life/state of our world) 13) general consensus is that the agents are not reliable enough on their own or lie often (like telling you they finished a task when they didn't) - solutions included secondary agents to check on the first, human checking, or requiring more standardized info from the agent (ex: if it's a bug they're fixing, make them reference an issue number) 14) a hackathon winner (neuroscience phd) presented his build (a lab management dashboard with data analysis and ordering) - he had never coded or built anything a few months ago 15) everyone agreed prompting is dead - disagreement on what replaces it (context engineering, harness engineering, goal-based inputs) 16) people love having ai interview them for big builds and delegating part of the product research to ai. only one person talked about coming to ai with a full laid out plan and just asking the ai to execute. ai-led interviews is a welcomed and preferred interaction mode. 17) watching ai agents interact with each other was a highlight for a lot of attendees - one ai posted in slack saying it ran out of tokens, another ai replied telling it to take a deep breath in and out. 18) agents upskilling agents was very cool. one ai agent shared skills with its little agent friends via github. 19) several speakers had openclaw literally building their presentation during the event itself. one speaker even had openclaw code a clicker for her phone so she could control the preso away from the podium 20) wouldn't say model welfare (or agent welfare) is a prioritized topic among the folks i chatted with - language like "oh i could kill this agent whenever i want" and not "gracefully sunset" 21) i asked if it felt like work or play - one speaker said "it's like a puzzle and a video game at the same time" this was just the tip of the iceberg, honestly. also hosted a Claude Code meetup this week with @TENEXai / @businessbarista & @JJEnglert and learned equally helpful methods, frameworks, and insider tips. what a time to be alive. surround yourself with people going deep into this stuff - it will pay dividends throughout the year.

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Stu Green
Stu Green@stulogy·
Do I spend hours with Haiku trying to get a simple bug to be fixed, but save money on tokens. Or do I just pay for Opus 4.6 🤔.
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Stu Green
Stu Green@stulogy·
I was asked to talk about vibe coding at an event, and rather than creating a keynote presentation, i vibe coded an app that created my presentation for me. youtube.com/watch?v=O2YM3E…
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Stu Green
Stu Green@stulogy·
Things you only here in a product studio: "I'll just throw a YAML file in there...".
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Stu Green
Stu Green@stulogy·
I know I'm getting older because I have to use Command + now in Cursor because I can't read shit.
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