I am finding startups, apps, or businesses worth examining, then give you the full picture: what they got right, where they slipped, and what I'd change if they were mine.
Instead of wasting months to basically make mistakes that will cost you time and money, join me in this ride where I post about :
“What I’d Fix” → 1 win, 1 flaw, 1 improvement in startups and businesses
breakdowns of what works vs what doesn’t
practical ideas founders could apply.
@paulg the hedge in a pitch is usually the founder protecting themselves from being wrong rather than helping the investor understand what's true, the ones who can make the unequivocal claim have done the work to know what they have
@Pirat_Nation the big brother thing is real bcs population wide ID verification to protect children from content they'll find anyway through adjacent devices is exactly the kind of policy that maximizes surveillance and minimizes protection simultaneously
devtools selling to agents not just humans is the reframe that changes the entire go to market strategy, an agent that defaults to Supabase or Stripe generates more reliable recurring usage than any human developer ever could because it never gets distracted and never switches without a reason
Rebranding when growth stalls is almost never the answer.
The problem is almost never the name or the logo. The problem is that users are not staying, or the market is smaller than the deck assumed, or distribution never worked.
A new brand does not fix retention. It gives you something to announce while the real problem waits.
the whole 5AM thing isn't about the clock btw, it’s about control.
Winning the morning means you’ve already secured a lead before the rest of the world starts firing notifications at you
Why I start work before 5am:
1) I wake up ~4am without an alarm normally.
2) My 1st mentor was a gym owner. He wanted to provide for family & be home for them. So he worked 4am to 4pm. I learned from him & it stuck w me.
3) I like it better than later.
PS: Do whatever u want.
well the goal is there but the framing can use some work. the best writing isn't unsummarizable because it's dense, it's unsummarizable because the way something is said is inseparable from what's being said. compression destroys it not because there's no fluff but because the texture is the point
@GeneralMCNews they raised the possibility of a pause as a future option under specific conditions, which is very different from calling for one. worth reading the primary source before forming a take
putting a hallucination-prone system in charge of physical inventory counts is a very specific category of mistake. vision models counting objects in real world settings with varying lighting and occlusion is still hard and whoever greenlit this skipped some important steps between demo and deployment
@PeterDiamandis the details that the safety guidelines were written with Claude's help is either the most reassuring or most unsettling sentence in the whole announcement depending on your priors. probably both
@SamBaGaMs@RandoB24@MorePerfectUS when it comes to hardware cycles t's less about the physical lifespan of the silicon and more about the innovation decay, in five years, the performance per watt gap between old gear and new hardware makes the older chips a liability, not an asset
@StockMKTNewz giving customers the ontology layer so they own the intelligence about their own business rather than renting it from a model company is the positioning that makes Palantir genuinely different from every other AI vendor in the enterprise conversation
hoping customers try the LLM companies first and feel ignored is the most honest sales strategy in enterprise software, the disillusionment from generic AI creating the appetite for something that actually understands your specific business is the whole Palantir thesis in one sentence
@unusual_whales the jobs that keep everything running are the ones the economy decided to pay the least for, the essential worker conversation from 2020 apparently had a very short shelf life
the candor here is unusual for a frontier lab. most companies in this position would soften the language considerably. publicly flagging that recursive self improvement could arrive sooner than expected while you're the one building it is either genuine transparency or the most carefully calibrated public statement in AI, probably both
task specific models hitting walls in novel environments is exactly what you'd expect from systems that learned to pattern match rather than actually model the physical world. pretraining on embodied data before task specialization is the architectural bet that either unlocks general purpose robotics or becomes the most expensive dead end in the field
AI governed by Canadian values is a meaningful framing in a world where the dominant AI systems are built by American and Chinese companies with their own value systems baked in. the question is whether a national strategy can produce frontier capability or whether it ends up as a governance framework applied to systems built elsewhere
the jump from 26% to 76% success rate on open ended engineering tasks in six months is the number that should reframe every timeline discussion happening right now. that's not incremental improvement, that's a capability curve that makes last year's benchmarks feel like a different era entirely
@InternetH0F 12,060 pieces and $799 for a set that will sit unfinished on a shelf for three years just like the real one. the commitment to authenticity is indeed impressive
the AI segment going from $3.2B to $322B requires xAI winning in a market that OpenAI, Google, Anthropic, and Meta are all fighting for simultaneously while SpaceX executes a launch cadence nobody has ever achieved. the Starlink number at $144B is actually the more defensible part of this forecast