Friday, October 16, 2026
Covering AI, startups, and the companies building the future
Most edtech companies build one app and hope every student shows up. General Learning runs a separate AI tutoring brand for each exam, and its IB platform alone reports 650,000 students and teachers across 180 countries.
E-A-T stands for expertise, authoritativeness, and trustworthiness—a core Google quality framework that influences how your content ranks.
How to properly use H1 through H6 header tags to improve SEO, accessibility, and content readability.
A six-step process for updating old blog posts to improve rankings and recapture lost organic traffic.
The gap between a seed round and a Series A is not a product gap. It is a repeatability gap. Series A Labs runs tightly scoped marketing experiments for seed-stage startups until the growth story writes itself.
Every time engineering ships, the docs fall a little further behind. Promptless is a YC-backed AI teammate that watches pull requests, tickets, and Slack, spots the pages a change made wrong, and drafts the fix as a pull request for review.
Ten reliable sources of blog topic inspiration to keep your content calendar full and your audience engaged.
Vibe-coded apps usually die the moment they need real company data. Vybe generates internal apps that plug into Postgres, Salesforce, and Jira behind a security layer the AI is not allowed to modify. First Round Capital led its $10M seed.
Every AI startup ends up rebuilding the same billing machinery on top of Stripe. Autumn packs that machinery into an open-source layer you call with three functions: attach, check, and track.
Object storage made keeping a file trivial. S2 is doing the same for streams: a serverless API where durable, real-time streams come in unlimited numbers and you pay for what you use. It hit general availability this year on a $3.85M seed led by Accel.
Voice agents stall when every lookup has to cross the network. Moss packages the search index into the app itself, so retrieval returns in about 3ms instead of 400. It was built by two engineers who spent years making Microsoft and Grammarly software fast.
Every production AI agent needs the same plumbing: hosting, OAuth, and monitoring for the tools it calls. Metorial wraps 600+ MCP integrations in a serverless platform so connecting an agent to Slack or Salesforce is a function call, not a project.
Commercial insurance brokers spend half their day retyping the same client data into PDFs, portals, and carrier forms. Casey ingests that data once, assembles carrier-ready submission packages, and puts AI agents on the underwriting follow-ups.
She co-founded Y Combinator, shaped its culture, and could read founders better than anyone in Silicon Valley. So why haven't most people heard of her?
The return-to-office narrative dominates headlines, but the data tells a different story. Remote work is growing, and platforms like RemoteJobs.org are the infrastructure that makes it findable.
Y Combinator alumni no longer just build startups. They run funds, angel networks, and coordinated investing systems that increasingly shape the earliest rounds.
New posts on AI, SEO, and the companies building both. No spam.
