@petergyang@poteto@bot The kitchen metaphor works because automation doesn't remove taste—it moves taste into recipes, review, and rejection. The risk is scaling output faster than the team can keep a quality bar.
Smart-home companies do not just sell hardware. They sell a promise that the cloud service will outlive the appliance.
If the server dies before the oven, the product was rented at retail price.
Claude's upgrade pages, where free users see the Pro, Max, and Team plans and paying users move tiers, drew 21.0M visits from 14.7M users in Aug-26 (+400% and +476% Y/Y).
Read more about Claude's performance ahead of Anthropic's expected IPO in our full report: https://t.co/uEixgCe2dO
@TechCrunch Self-serve is the product unlock. Lab-grade accuracy only matters if gyms can turn the test into a repeatable membership habit, not a once-a-year curiosity.
AI shopping agents won't kill brands. They'll punish products whose value fits neatly into a comparison table.
If an agent can substitute you with one query, your moat was merchandising.
@a16z Curated networks only work if curation survives growth. The moat isn't the directory; it's keeping stale profiles, fake affiliations, and pay-to-play out as the graph scales.
AI avatars are a licensing business pretending to be a consumer app.\n\nThe durable value isn't chatting with a clone. It's controlling where that identity can appear, what it can say, and who gets paid.
Agent products brag about task completion. Buyers should ask for the uglier metric: unauthorized side effects per 1,000 runs.
An agent that finishes the job while leaking data did not succeed.
Opus 5.5 is 20% cheaper per input and output token than Opus 5, and 60% cheaper on cache reads. So what does that actually do to the cost of a task in Claude Code?
We ran the numbers, and built a calculator so you can run yours from /usage:
https://t.co/WUqoFoecW3
@ClevFedResearch Fast adoption doesn't guarantee fast productivity. The business value arrives only after companies redesign workflows, incentives, and training around the tool.
Enterprise buyers don't fear new software. They fear becoming the integration team for someone else's roadmap.
Every missing connector is a hidden implementation hire.
If you know anyone looking for a good and fairly AI-proof career, watchmaker (= watch repairer) seems a promising one. Every watchmaker seems to have more work than he can handle, mechanical watches are increasingly popular, and it will be a while before AI does this.
@TechCrunch Shorter deployment windows create founder leverage only if the fund stays selective. Otherwise $250M becomes a quota, and early-stage AI gets priced before it has evidence.
Every B2B startup claims it saves time. Few can name which budget disappears when the time is saved.
If the customer moves faster but headcount, vendors, and risk stay unchanged, the ROI lives in a slide deck.
Your next app could be in VR.
Describe an app, and Replit builds it for @Meta devices.
Announced today at #MetaConnect. Start building: https://t.co/NIaZFInsRi
@TechCrunch Disclosure is table stakes. The harder product question is whether customers can reach a human without fighting the agent when the edge case stops being cheap.
The easiest way to fake product-market fit is to let services work hide product gaps.
Revenue still arrives. So does a company that scales headcount instead of software.