... relevant context existed at all. A system that confidently retrieves something vaguely related can look functional while being completely wrong. So I added absence cases where the correct result is nothing. It changed how I judge retrieval quality. Finding context

... parts worth reusing, not blindly archive every conversation. A commenter put it well: saving should not become homework. At capture time, users should not have to tag, clean up, categorize, and explain every saved answer. But at retrieval time, contextmatters. You do not just want that answer I saved once. You want the answer I meant to cite, the claim I needed to verify, or the template I wanted to reuse. So we are exploring lightweight capture-time signals ... ... related problem: useful insights also get buried in podcasts and long-form audio. That feels like the same pattern: The value is not just in summarizing the whole conversation, but in capturing a specific moment with enough source

... gaming is useless if you sell accounting software. The traffic is irrelevant. The audience is wrong. The link will do nothing. The obsession with DA comes from the old days when Google relied more on raw authority signals. Now, contextmatters more. A link from a small blog that your exact customers read is worth more than a link from a big site that no one in your industry visits. The hard part is that DA is easy to measure ... ... relevant industry publication that your customers actually read is worth more than all of them combined. The question should be "what links did you get this month and why do they

... usually includes constraints, tradeoffs, and small details that are hard to fake. In B2B, for example, a generic AI post might say, build trust with suppliers. A more human answer would mention the actual messy parts: unclear MOQ, sample vs production specs, certification documents that do not cover the exact SKU, packaging files that are not ready, or buyers comparing quotes that are not based on the same assumptions. That kind of detail does not have to sound perfect ... ... fully contracted solar plant, or why the P90 exceedance ratio that matters

... Snowflake, Twilio, Confluent, Rippling. We even have some researchers from Google Deepmind, Anthropic and other frontier AI labs, you can all get to know what you need to do to your profile to reach where they are. Obviously your contextmatters, so we take into account that and give you the delta that you need Comment from Germ n Merlo(@german_merlo1): Awesome mate! Sounds and looks challenging but I'm sure you'll tackle it. All the best on this ...

... reason is simple. Reviews have become one of the least trustworthy signals in the app ecosystem. They can be purchased in bulk from services that sell hundreds of five-star ratings overnight. They can be faked with disposable accounts. Competitors can and do leave one-star reviews on rival apps to damage their reputation. For smaller developers without the resources to fight back, this kind of manipulation can be devastating. Public community discussions work differently. When someone recommends ... ... application on Brotherstock has a dedicated Story page. This is where the developer explains in their own words why they built the app, what problem they were trying to solve, and what makes their approach different. We believe this context

... just launched an AI system that measures actual attention in TV ads: not impressions, not eyeballs-in-the-room, but genuine cognitive engagement. The industry finally admitted it had been measuring what was easy to count, not what actually mattered. And I kept thinking: reputation management is still stuck in 2015 doing the exact same thing. The parallel is uncomfortable Most companies monitor brand reputation by tracking mention volume. Spikes up? Something's happening. Stays flat? You're fine ... ... becomes a measurable event. A few things I learned building it: - Sentiment drift is gradual, not sudden. The signal is usually there 12 36 hours before any volume metric triggers. The challenge is filtering noise from genuine directional movement. - Context

... want another dashboard full of numbers with no context. They want to understand: How am I doing right now? What is driving it? What should I do next? That is a big part of how we think about Pinnacle. The goal is not to flood you with biometrics. The goal is to turn signals from your body and behavior into something actionable in the moment. 2. Low-friction measurement really matters

... According to @RevenueCat 's State of Subscription Apps 2026 report, " hard paywalls convert 5x better than freemium, but with significantly wider variance." Day 35 download-to-paid, freemium vs. hard paywall Does access method impact download-to-paid conversion within 35 days? Quoting the report: Median D35 conversion sits at 10.7% for hard paywalls. Freemium is 2.1%. That gap alone should make you pause. But the more revealing part is the distribution. Hard paywall top decile apps approach 40% conversion ... ... taka  absolutely my advice as well. Comment from Chris Messina(@chrismessina): @andrew_g_stewart  actually, there was a useful discussion on this episode : The hard paywalls convert ~5x better than freemium stat (10.7% vs

... things that can harm my personal data or time + finances. Comment from Nika(@busmark_w_nika): @ixord  Hahaha, thank you, hopefully will become a celebrity also on LinkedIn :D Comment from Nika(@busmark_w_nika): @ixord  the contextmatters, indeed :D But I am not a celebrity (yet) :DDDD Comment from Nika(@busmark_w_nika): @alina_petrova3  Ofc, when you have an overview of the tool and the team, that is a win scenario. :D smart smart ... ... reversible

... community. I m one of the makers behind Barie.ai . The problem that pushed us to build it is pretty simple but painful: Most AI tools are great at fast answers. They re not great at continuity . In real work, contextmatters. Decisions stack. Assumptions change. And when an AI forgets earlier reasoning or invents missing pieces, things quietly break. What we re exploring with Barie: AI that can carry

... handling for you today? What did it replace? What breaks if you turn it off? If you want to back it properly, leave a review on its Product Hunt Hub explaining how you actually use it. That contextmatters more than praise. Comment from Eyal Avinoam(@eyalavinoamn): Getting ready to install the Hetzner VPS and then n8n. Grok recommended n8n to me and I'm using him as my project manager on one of my projects. So, I'll come ...

... Substack I'll link at the end, but to avoid UI hopping I wanted to provide the basic summary here. If you've been trying to build something but you're fighting against entrenched user behaviours with a competitor or feel it's just too hard to go up against a giant. Well, maybe you have a secret advantage. Keep reading... What's changing? The internet was built to be: Human-read, human-clicked, human-navigated. Everything, like everything ... ... like @Meet-Ting , you re no longer fighting the immense efficiency of booking links (which, to be fair, are great and undervalued tech). You re operating in a different world, one that s increasingly agent-first. This is where context

... preserved if you need it.) API support ( docs ) Profiles are available via API: GET (read) PATCH (update) DELETE (clear) Who this is for Teams building: SaaS copilots support assistants healthcare tools e-commerce assistants internal AI tools Anywhere user contextmatters. Full write-up: https://www.mnexium.com/blogs/in... Happy to answer questions and would love feedback ...

... need Reflection-focused Built specifically for meaningful self-reflection and personal growth Built-in habit tracker Track your daily habits alongside your journal entries Automatic mood detection Understand your emotional patterns over time without manual logging Contextmatters Automatic location and weather information to enrich your memories Everywhere you are Available on mobile, desktop, and web Coming soon: Deep insights with stats from your journals and integrations (like Strava) AI-powered chat to help you explore your thoughts Travel data ...

... integrations : VS Code, Cursor, Windsurf, Claude Desktop, Claude Code, Cline - any MCP client. Install via npm package or simple plug-and-play using Smithery. Looking for : Beta testers who move fast with AI and work on complex projects where context