SparkEros

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SparkEros

SparkEros

@SparkEros

Time, productivity, tech, automation & AI No hype. Just truth The parts nobody says. For those who'd rather know Solopreneur Microsoft verified

Dallas, Texas Katılım Aralık 2025
160 Takip Edilen16 Takipçiler
SparkEros
SparkEros@SparkEros·
@Codie_Sanchez Steps 1-6 work Step 7 is where most break Running one turnaround is a job. Running two simultaneously requires systems most people never build
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SparkEros
SparkEros@SparkEros·
@Scobleizer Early adopters try everything Everyone else waits to see what survives Both strategies make sense
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Robert Scoble
Robert Scoble@Scobleizer·
@SparkEros Totally. I can't keep up and can't imagine that a professional developer is willing to try loading hundreds of thousands of lines of code and entire architectures into every new thing. But they do, which you see in popularity of others that have come along.
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SparkEros
SparkEros@SparkEros·
@verge "Year of reckoning" headlines run annually The platforms have been preparing longer than regulators have been threatening
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SparkEros
SparkEros@SparkEros·
@satyanadella Impressive specs For most teams though, the bottleneck still isn't hardware - it's data quality and knowing what to build
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Satya Nadella
Satya Nadella@satyanadella·
Our newest AI accelerator Maia 200 is now online in Azure. Designed for industry-leading inference efficiency, it delivers 30% better performance per dollar than current systems. And with 10+ PFLOPS FP4 throughput, ~5 PFLOPS FP8, and 216GB HBM3e with 7TB/s of memory bandwidth it's optimized for large-scale AI workloads. It joins our broader portfolio of CPUs, GPUs, and custom accelerators, giving customers more options to run advanced AI workloads faster and more cost-effectively on Azure.
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SparkEros
SparkEros@SparkEros·
@Codie_Sanchez Brand is only as valuable as the revenue it generates The only security in being VC or PE backed is in becoming cash flow break even Private may have helped Sprinkles to the ground, but economic realities are always what cause the crash
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Codie Sanchez
Codie Sanchez@Codie_Sanchez·
Private equity pretty much sent Sprinkles to the ground. They expanded too fast, cut brand, marketing, and innovation. Removed the magic moments customers loved…to save cash. I know the founder, Candace, and she built what finance has NEVER been able to build… brand. So did Alli Webb with Drybar. Both sold. Both watched the soul get optimized out. There’s a real opportunity here to start a fund to buy back beloved brands that PE f**ked…
New York Post@nypost

Sprinkles, the original viral cupcake shop, to close all stores and vending machines for good trib.al/GY78Mp0

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SparkEros
SparkEros@SparkEros·
@fchollet Everyone agrees with this in principle The hard and most valuable part is noticing when you're the one doing the mental gymnastics
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SparkEros
SparkEros@SparkEros·
@omarsar0 The papers show the clean version Most AI written production agents are held together with retry loops and prayer
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elvis
elvis@omarsar0·
Awesome repo with a nice set of papers to catch up on agentic reasoning. If you are building AI agents today, make sure to bookmark and read a few of these. Here is the repo: github.com/weitianxin/Awe…
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SparkEros
SparkEros@SparkEros·
@marclou When AI builds the interface, the interface stops being your moat You may become a commodity API competing on price
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Marc Lou
Marc Lou@marclou·
AI is making software development easier than ever. One day, maybe all SaaS will provide only an API key, with no user interface, and your AI will create the interface within your OS. Maybe it's a crazy idea, but it sounds possible (and awesome), so I gave it a try: I shipped 18 new API endpoints for my web analytics SaaS @DataFast_ ✨ All your website data is accessible programmatically: unique visitors, total revenue, pages visited, countries, etc... That way, you can vibe code an entire analytics dashboard with a 1 prompt without worrying about the complexity of the backend! If you build something on top of it, please DM me. I'd love to check it out.
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SparkEros
SparkEros@SparkEros·
@StartupArchive_ The asterisk on "enjoy failure": we only hear it from people who eventually won Survivorship bias writes all autobiographies
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Startup Archive
Startup Archive@StartupArchive_·
James Dyson’s advice for founders: “You have to enjoy failure” “If you are exploring new territory, experimenting, and trying to do something different, you’re going to fail many times and you’ve got to bounce back from it,” James Dyson explains. The billionaire inventor argues that you should actually learn to enjoy failure: “Failure is so much more interesting than success — the reason something goes wrong is often very interesting whereas if works you just say ‘great that works’ and don’t even stop to wonder why it works. You’ve got to learn to enjoy failure. That sounds like a difficult thing to do, but you have to enjoy failure if you want to improve things.” He continues: “It always saddens me that school doesn’t really teach that. At school or university, the thing is to be brilliant and get the answer right the first time. There are brilliant people who can do that, but for the rest of us, we’re not brilliant and to get there we have to strive and go through failure. You don’t get it right the first time. You don’t get it right the second time. In my case, and I counted it, it was 5,127 times . . . That sounds like struggle and it was a struggle, but it was a hugely enjoyable struggle. The debt was mounting, and I had three children, a wife, a home, and a mortgage to pay like everybody else, but I had a real aim in life and I had to get there. And the failures were interesting because I learned from almost every single one of them.” James Dyson concludes his autobiography by saying: "Listen, it's easy for me to celebrate my doggedness now. I made $300 million last year, but I'd be lying to you if there weren't times where I went inside my house, had my wife look at me like I'm a failure, and cry myself to sleep. I got up and did it again anyway because excellence is the capacity to take pain.” Video source: @davidsenra (2025)
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SparkEros
SparkEros@SparkEros·
CC: The security protocols are properly maintained. Here's the verification: My work hasn't disappeared It's shifted from writing code to reviewing AI-written code The work changed shape, not size #AI
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SparkEros
SparkEros@SparkEros·
At times, it feels like a full time job with Claude Code: To CC: Ensure the security protocols for /api/ endpoint are implemented in the changes you have made CC: Let me review the security implementation in the endpoint to ensure my changes don't bypass any protections.
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SparkEros
SparkEros@SparkEros·
@patio11 True And soon "has AI" becomes as meaningless as "cloud-based." The bar just keeps moving to implementation quality and ease of adoption
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Patrick McKenzie
Patrick McKenzie@patio11·
A friend not in software asked what I thought AI meant for not-specifically-AI SaaS companies. Thought it would be useful repeating publicly: We do not yet know who will benefit most from AI being incorporating in software, but there will be ~no non-AI SaaS companies in future.
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SparkEros
SparkEros@SparkEros·
@omarsar0 "No limits" trades API constraints for maintenance constraints Different limits, probably not no limits
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elvis
elvis@omarsar0·
As I have said before, we should all consider building our own agent harness. That's how you stay ahead right now. Clawdbot is really just that. I don't use Clawdbot, but I've been building my own agent orchestrator over the past couple of months while I was working on a few projects. It's tuned to how I work. It looks like an IDE, but it's not. It's better than the terminal and highly flexible and portable. It's a control center for my agents. I can add and remove whatever I like. I research from it. I write from it. I code from it. I do everything there. It mainly leverages the Claude Agent SDK, but it can also use other frameworks. The best part is that I can work from home, on the road, on mobile, and pretty much anywhere. It notifies me when work is done or if it needs my attention. No limits. 24/7 personalized agents doing all kinds of work. It is extremely useful for parallel tasks. In fact, that was the initial reason why I built it. We are living in an incredible time.
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SparkEros
SparkEros@SparkEros·
@emollick Tech keeps rediscovering that the "soft" problems are the hard problems
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Ethan Mollick
Ethan Mollick@emollick·
As a business school professor, its striking that a lot of the AI folks on this site, as they increasingly delegate authority to coding agents, are re-encountering the basic problems that underlie management theory and practice. Many delegation problems are old & well-understood!
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SparkEros
SparkEros@SparkEros·
The part nobody admits: unification is uncomfortable because it shows the real conflicts Some people prefer the fragmented lie The real challenge is keeping them all in sync #CalendarManagement
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SparkEros
SparkEros@SparkEros·
3 calendars create 3 fractured identities Work calendar says one thing. Personal says another. Family conflicts with both. Each one is a partial truth Together, they're a fragmented lie about your actual commitments Nobody has the full picture
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SparkEros
SparkEros@SparkEros·
@fortelabs The second brain will soon be asking you to remind it what you were talking about compacting ...
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Tiago Forte
Tiago Forte@fortelabs·
You've hit your limit...Claude is waiting for your input
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