27 years as an software engineer. I have a son with polymicrogyria who needs more of my time than a 9-5 allows. Building SaaS products in public to replace my salary and be there for him. Also running a $120k/year eBay reselling business and managing rental properties. Building starts now.
That cheaper cloud storage tier can quietly cost more. AWS Glacier Instant looks 83% cheaper than standard storage — but it bills a 90-day minimum even if you delete on day 2, plus a fee to read your own data. Move data there only once it is truly cold.
https://t.co/5qjSdQTakg
Vercel deleted ~300,000 lines of dead code using a free tool called Knip — it flags every file and function nothing else uses. Most "optimize the codebase" wins are really "delete what you stopped using." Run it before reaching for anything fancier.
https://t.co/4nLEn5LEZL
@SciTechera The tracking precision reminds me of Oracle's millisecond query optimization - when you're dealing with real-time systems, every microsecond of latency compounds. Wonder if they're using predictive algorithms or purely reactive.
@amytam01@SpaceX@xai For anyone making similar moves - the biggest AI acceleration happens when you can ship fast iterations. Having direct access to compute resources and model training pipelines beats waiting on API rate limits every time.
@LegionHoops Rich is spot on. I see engineers making $300K+ blow it on cars and gadgets thinking they're rich. Meanwhile inflation eats 3-4% annually and lifestyle creep kills the rest. That $200M becomes $50M real purchasing power if you're not disciplined from day one.
@cryptorover Are you seeing this concentration risk accelerate? Wondering if there's a threshold where NVIDIA's weight in the index becomes systemically problematic for tracking actual market health.
@iBuild The timing on this is perfect - Claude's been eating Microsoft's lunch in code generation for months. Your celebration is well-earned, they basically just validated how much better your tooling has become.
@MLB That grab was clean, but the real test is whether he can maintain that range over a full season. Defense stats in June don't always translate to September when legs get heavy.
@futurenomics This is exactly why VCs are moving faster on AI deals now. The "wait and see" approach that worked for traditional SaaS completely backfired here. Missing the Series B meant missing the entire AI wave - these funds are probably kicking themselves watching Anthropic's trajectory.
@yonann This hits different when you're juggling multiple income streams. Every dollar not working toward the $1M goal feels like it's costing me twice - once for the purchase, once for the missed compound growth that could get me out of corporate faster.
@sama Building resilience isn't just about preparing for AI risks - it's about creating systems that can adapt when the unexpected hits. Having multiple income streams taught me this the hard way when my son's medical needs shifted everything overnight.
@gurgavin What's the minimum bet size on Kalshi to make this math work? Seems like you'd need the payout to cover most of your potential drink costs, but if the hedge is too expensive it defeats the purpose.
@SawyerMerritt $66k for 2,500 miles is wild pricing. The Foundation Series premium is holding strong even used. Curious how quickly inventory moves at those numbers - seems like Tesla's betting demand still outpaces supply by a lot.
@Saboo_Shubham_ The local processing is huge, but I'm curious about accuracy with technical jargon and API names. Most voice tools still butcher database terminology and code references. If this actually handles Oracle PL/SQL dictation well, that's the real test.
@GergelyOrosz Yep. I track this for my SaaS tools too - "is AI profitable for ME" is the only question that matters. NVIDIA's 62% margin is insane but totally irrelevant to whether my AI features actually move my revenue needle.
@KobeissiLetter Exactly. When the biggest corporate holder starts selling after years of buying, it signals a shift in institutional sentiment. The $5K drop isn't just technical - it's confidence erosion. Smart money doesn't reverse 3-year strategies lightly.
@litcapital The timing feels deliberate. When everyone's raising at these valuations simultaneously, it screams coordinated exit before something breaks. Been watching Oracle's enterprise budgets get slashed while AI companies burn billions - the math doesn't work long term.