... format the spec expects. Cursor couldn't parse it and quietly gave up. The fix was boring. Serve proper OAuth metadata: issuer, authorization endpoint, token endpoint, client registration, PKCE. After that it just worked. Click, sign in, connected. The takeaway for me was simple: if an MCP client says "OAuth provider initialized" and then goes silent, check your discovery document before you debug anything else. In our case, /.well-known/oauth-authorization-server was the culprit, not the credentials. One question for other builders ... ... here: how are you handling MCP OAuth across clients? Cursor, Claude, and VS

... traditional links when an AI summary is visible , compared to 15% without one. In e-commerce, a study of 34 Shopify stores reported a 31% drop in organic non-brand clicks between Q2 2025 and Q2 2026. The takeaway for your strategy The traditional metrics of ranking and click-through rate are no longer the full picture. The new focus is on citations and mentions within the AI-generated answers themselves . Optimize for extraction: Structure your content so that ... ... queries are getting absorbed completely: my single biggest query sits at position 5 with 2,562 impressions and zero clicks, because Google just answers it on the results page. Meanwhile commercial-intent queries behave like it's 2019 "X vs

... year again, Supabase surveyed 2,000+ startup founders to uncover what's powering modern startups: their stacks, their GTM motion, and how they approach AI. Many things have changed between 2025 and 2026. See full report here My key takeaways: 78% of founders are technical. @Claude Code became the most-named must-have dev tool (31%). @VS

... right audience. Comment from Nolan Vu(@nolan_vu): @thenameisarian  Interesting, alternative to LinkedIn you said "Transparency, not hiding" as the positioning is sharp. The whole industry is moving toward pretending AI involvement isn't happening, so calling it out directly and making it a feature instead of a flaw flips the script in a really smart way. Recruiters needing to know what was AI vs

... spaced repetition apps are designed by power users for power users. They've lost sight of the actual goal: remembering things. MemoRep is different. It was built on one insight: simplicity beats complexity every time. The Problem: Feature Creep vs. Memory Retention Take a step back. Why do you want to use spaced repetition? To remember languages To retain programming concepts To master music theory To ace exams To keep professional skills sharp What's common to all these goals ... ... Start noticing patterns in what you forget [ ] Refine 1-2 cards/day based on actual reviews [ ] Track your streak: consecutive days of card creation Week 3-4: Finding Your Rhythm [ ] Adjust volume based on your schedule [ ] Experiment with timing (morning vs

... language people actually ask , not just what they type . Finding #5: One URL Can Carry You For Superwhisper, one single Product Hunt URL drove 1.6% of their ChatGPT visibility and 5.5% of Google AI Overview visibility. Compare that to competitors relying on dozens of Reddit threads and YouTube links. The signal: LLMs consider Product Hunt pages to have high authenticity and authority. One well-structured page outperforms dozens of lower-quality sources. Finding #6: Model Behavior Is Volatile ChatGPT updates ... ... visibility in half overnight. When one update hit, Wispr Flow's visibility dropped but Product Hunt's citations rose, "significantly softening the blow." The takeaway

... many found they were invisible. But here's what scared me more: Of those who WERE visible, 43% had incorrect information in AI answers. Not "suboptimal." Not "could be better." Wrong. Outdated pricing. Missing features. Wrong founder bios. Competitors credited for your work. And the average error sticks around for 4 6 months . Today, I'm sharing the full dataset: 1,000+ SaaS products, 75,000+ AI answers, and the hard truth about what's being said about you when ... ... analyzed 50 brands that discovered errors and tracked the impact. Error Type Average Revenue Impact Pricing error (higher than actual) 47,000 Pricing error (lower than actual) 23,000 (leakage) Missing critical feature 38,000 Wrong positioning (enterprise vs

... user heavily uses AI-powered steps, agents, or transformations, credits are consumed faster because real token and compute costs are involved. From the buyer s perspective, pricing stays consolidated. They do not have to reason separately about SaaS fees versus AI fees. This has helped us in a few ways: Pricing remains easy to understand at the top level. We avoid unlimited AI usage that quietly destroys margins. Users naturally self-regulate usage based on value, not artificial feature locks ... ... than per-report pricing. People don't want to do math before clicking a button. The move: give away enough free value to create habit, then charge a flat rate that feels like a no-brainer compared to the alternative

... founders and builders to uncover what's powering modern startups: tech stacks, GTM, and approach to AI. See full report here Some results that struck me: AI coding tools are indispensable for startups, and not just @Cursor (27%) and @VS Code (25%). Vibe coding tools like @Lovable , @bolt.new , and @v0 by Vercel are also common. Most startups are already integrating models like @OpenAI (39%) or @Claude by Anthropic (21%), especially for semantic search, summarisation, and customer support. Half are building ... ... especially the shift toward automating real tasks like onboarding and sales triage. We re seeing the same in QA automation: founders don t just want efficiency, they want their time back to focus on growth. Also agree on the takeaway

... funnel visibility, cross-channel orchestration, and user-level performance attribution all without overcomplicating things. What s not essential: CDPs, social tools. CDPs came up a lot but mostly in the context of why teams aren t using them. The takeaway: unless you're monetizing across multiple platforms, channels, or business units, a CDP is not necessary. Similarly, until you're Brawlstars big you don't need to invest in a paid social management tool. Some real talk from large teams ... ... their CDP for GTM. Even multi-million user apps are thriving with just a CEP + MMP setup. Most CDP benefits (data unification, real-time ingestion, audience sync) are irrelevant if your product and revenue model are still evolving. Strategic takeaways