... model living in the same model picker, which ran all six answer files itself. Humans did exactly one job in this pipeline: invigilation. Final score:  90 to 70. The winner also used 15% fewer output tokens (11,702 vs 13,799).  If you don't trust an AI's grading all six raw answer files are attached below, unedited, and the code runs on click. Grade them yourself. See you in the comments. EXAM NOTICE Grok 4.6 moved ... ... podium in 2026. Candidates must paint the absurdity for ordinary eyes. Conclusion:   This comparison was run on happycapy.ai (Capy): Grok 4.6 beat Grok 4.5 90:70 across all three problems while producing 15% fewer output tokens (11,702 vs

... limited testers. They gave us the first feedbacks for us to make the app better. After we didn't succeeded with a try on LinkedIn, where the feedback was nearly zero, we are on our way to find good alternatives. Hopefully Producthunt will help us and I'am pleased to help you, if you like. Maybe we will make the world of apps a little bit better. Is my first day on this page and we are very excited what ... ... stranger can sign up, hit their "aha" moment, and derive tangible value within three minutes without human intervention. If they hit a snag, confusion, or a clunky onboarding flow on launch day, those early upvotes won't convert into retained

... from Furkan Topcuo lu(@furkan_topcuoglu): I'd add reply plan after launch to the list. A lot of teams prepare the first comment but not the next 10 answers they'll need if people ask at pricing, use cases, competitors or roadmap. Launch day is much easier when the team already knows who answers what. Comment from Olive Mwangi(@olive_mwangi): I'd add one more thing: go through your product as if you're seeing it for the first ... ... busmark_w_nika  that's fair, popular hunters/people that have been in the community for a while definitely come with credibility. Comment from Denitsa Pencheva-Valtchanova(@denitsapenchevavaltchanova): You mention a hunter - curious, do you think it brings value Vs

... copy of everything you browsed. How to work with it: Keep chatting in the same thread for continuity. If your build exposes a control, ask the assistant to  forget  sensitive details you do not want retained. Start a  New chat  when you want a  clean memory scope  (separate from chat history stored in IndexedDB). Privacy note:  Memory sits in the broader assistant data picture. See what leaves the device vs

... engineering, security, and platform teams can actually govern on their own infrastructure. I keep seeing AI governance tools start with visibility, then discover that the real enterprise questions are identity, retention, and review. If the record cannot be scoped, retained, and exported on your side, it is not really governable. What would your team need first: SSO, retention, or a review policy that developers will actually use? Comment from Praveen(@praveen62): @preston_daniel1  Very often, yes. Engineering teams usually ... ... treated as entirely independent actions either. If a policy blocks a change, the retry path needs provenance continuity: what changed between attempts, whether the prompt/model/context materially shifted, who initiated the retry, and whether the policy conflict was actually resolved versus

... really feel that way" - "AI companion" became "a space where you don't have to perform" The results were immediate. App Store page conversion went up 40%. But more interestingly, the users who came in through the new messaging retained better too. They came in with the right expectations. Here's what I think is happening across the AI space right now: we're all so excited about the technology that we're marketing the engine instead of the destination ... ... whole story. The deeper thing is that feature-first language consistently attracts the wrong people...and AI labelling just made it worse. And this happens in fintech too. Apps that lead with "real-time transaction monitoring" vs

... available. The behavior persists long after the cause is gone. Most people using Google Drive, email, or Slack to send sensitive files aren't naive. They're fatigued. They know something is off. They've just run out of alternatives so they compress the discomfort and move on. Research note: A 2023 Pew Research study found 79% of Americans feel they have little control over data companies collect yet the majority continue using the same platforms. Researchers have called this ... ... privacy fatigue : not indifference, but the behavioral result of repeatedly finding no viable alternative

... learn 10 words daily for 100 days: Sustainable cognitive load 15-20+ review cycles per word Habit becomes automatic Neural pathways strengthen with each repetition The retention math is brutal: 10-day sprinter: 1,000 words learned, 50-100 retained (5-10% retention) 100-day runner: 1,000 words learned, 900+ retained

... more creative deals Someone without those words keeps making the same offer in different packages 3. How you evaluate trade-offs Rich vocabulary = you can hold multiple competing values simultaneously Limited vocabulary = you collapse complexity into binary thinking Pragmatism vs idealism. Short-term vs

... Context Sync previously had ONE global "current project" in the database. Switching projects in ANY platform would break ALL other sessions. The Solution: Each MCP server instance now maintains its own session state in memory: Claude Desktop Cursor IDE VS Code Copilot MCP Instance 1 MCP Instance 2 MCP Instance 3 Project A Project B Project A Shared Database (decisions, todos, context) What this means: Work on multiple projects simultaneously across ANY AI platform Each tool (Claude, Cursor, Copilot ... ... through middle for key code (functions, classes, imports) Strategic sampling of content What this means: Big codebases with 1000+ files? No problem! Generated files, bundles, large configs? We handle them! 80%+ reduction in data processed, 100% of the context retained

... high-volume partners. (Currently launching as a free, ad-light service to build community trust.) Tech & privacy notes Randomness: Node.js crypto CSPRNG server-side. Signing: HMAC-SHA256 signatures stored with each flip for verification. Data: Basic flip metadata retained for audit (flip id, timestamp, result, signature). No PII unless explicitly provided by users. Performance: Images and assets optimized (WebP/AVIF), lazy-loads non-critical JS to keep LCP fast. Comment from Flip A Coin Free (@flipacoinfree): Hi everyone ...

... There s growing evidence that our heavy reliance on AI is reshaping how we think. A 2025 MIT Media Lab study found that people writing essays with ChatGPT showed significantly lower brain activity, produced less original work, and retained less of what they wrote compared to those writing manually ([Washington Post]( https://www.washingtonpost.com/h... )). This builds on earlier work showing that people remember less when they know information is stored externally, like on a computer or the cloud ([Sparrow ...