... worked better for us: declaring intent in the morning instead of reporting history. "Here's what I'm picking up today" takes ten seconds, is answerable without memory, and produces something you can compare against reality at 6pm. Plan versus done, written down, no meeting. Where it falls apart is that plan-versus

... jessicaflou0  Agreed on the ordering, but the trap is that reliably good at isn't a fixed property of a model, it's per task and it drifts. We stopped keeping a global ranking and kept a small scorecard per route instead, because the same model was our best at one job and our worst at another. Cost as a tiebreaker between two routes that already pass is fine. Cost as the first filter is exactly ...

... monatruong_murror): @getosmo  "Tagged by failure mode rather than benchmark name" is the line I wish I'd written. That's the whole thing. Once the cases are organized by how it breaks, the set stops being a scorecard and starts being a checklist you can actually act on this one's a recovery problem, this one's a latency problem, this one's a trust problem, and those get fixed in completely different places. The "escalated too late ...

... entire quiz creation process takes less than two minutes, and friends can join directly from a group chat. A few features: No login required Custom and pre-made questions Shareable quiz links Live leaderboard Downloadable 9:16 scorecards for stories and screenshots I built it because most similar apps either require accounts or take too long to set up. I'm curious: what would make you actually share something like this with your friends ...

... long to set up. I wanted something that anyone could open from WhatsApp and start using immediately. Features: No login required. Create a quiz in under two minutes. Custom and prebuilt questions. Shareable links for friends. 9:16 scorecards optimized for stories and screenshots. Live leaderboard to see who knows you best. I d love to hear your feedback on the product and the user experience. Link: whoknowsme.techpick.tech If this screenshot is from a specific platform (Indie Hackers, Peerlist ...

... tools later, it's a full platform: keyword research, content generation, technical audits, an AI site auditor, and the thing I'm most excited about a monitor that tracks whether ChatGPT and Perplexity actually mention your brand, with public scorecards anyone can check. Free tier is 5 generations a day, no card. If you bring your own API keys, it's basically unlimited you pay OpenAI/Anthropic directly instead of paying me a markup. It's seofragments.com if you want ...

... says it. This week I got my first outside grades. Glama (the largest MCP server directory it indexes 20K+ servers and scores how well AI agents can actually use each one) tested ours on both of its surfaces: Server scorecard: A license A quality B maintenance Tool-definition quality: A, 4.4/5 tool descriptions averaging 4.5/5 across all 39 tools What made it actually useful, not just a badge: the first test came back 3.9 with a per-axis ...

... ceciliatran): Great topic, and it maps almost exactly onto a problem I live in on the talent side: how do you evaluate a person before there is a track record to point to? A few people here raised execution versus potential, and I would add one thing. The most reliable early signals tend to be the messy ones nobody bothers to measure: how someone talks about a problem they have not solved yet, what they build when ... ... asking, how fast they update when they turn out to be wrong. Those do not fit neatly on a scorecard

... Andrew, building GhostData - drop data, get instant scorecards, smart insights, predictive scenarios and a boardroom-ready presentation mode. No setup. No waiting. Save, export, share - then close the tab. Nothing stays behind. Launching here in 1 week. Still a few things to fix before then, wanted to say hello to the community first. Would love feedback from people who've launched here before: what's the one thing you wish you'd done differently on launch ...

... agent does the rest. It produces a full candidate assessment with scored competencies, structured insights, and a ready-to-share PDF report. Everything is customizable . You choose which fields go into your templates, define your own scorecard criteria, and the AI evaluates against exactly what matters to you. There's also a growing library of pre-made templates if you want to get started fast. It's for anyone who needs to evaluate candidates: recruiters, hiring managers, founders, team leads ...

... Minute Audit Step 1: Keyword Selection (5 minutes) Choose 20 keywords to audit: 10 branded keywords: Your company name Your product names Your founder/CEO name Your flagship features 10 non-branded keywords: "[Your category] best tools" "[Your category] alternatives" "How to [solve problem you solve]" "[Your category] vs

... used for records, due diligence, and screenshots. 4. Shareable scores on X (Twitter) This was unexpected users started sharing their wallet scores: High scores flex Low scores joke Either way, it created a natural feedback loop. 5. Certificate-style scorecards (almost done) A downloadable certificate with: Wallet score Grade Chain Issue date Founder signature This turns analysis into a proof artifact , which feels surprisingly powerful. Why this changed the product Most blockchain tools assume users want more data . What they ...

... deliver better ROI than paid search, which has become increasingly expensive and competitive. Trial Intelligence : We provide behavioral analytics you can't get from your own trial - comparative shopping patterns, feature prioritization across your category, and benchmarking against competitors. Think of us as a qualified pipeline channel, not a marketing expense. Q: How do you solve the cold start problem? Most marketplaces fail because they can't get critical mass on both sides. A: Our go-to-market strategy addresses ... ... trial optimization platform. Q: What data or insights does VeriTry provide that software companies can't get on their own? A: Our proprietary Trial Intelligence Engine provides: Cross-platform behavioral data : How users engage with your trial compared to competitors

... Munjal(@imukulmunjal): Nomination: @InterviewFlowAI - AI Interviews InterviewFlowAI automates first-round hiring interviews end to end. It actually conducts real interviews over phone or Google Meet (not chatbots), asks role-specific questions, follows up based on answers, and produces structured scorecards with transcripts and recordings. Day to day, it replaces hours of manual resume screening, scheduling, and repetitive phone screens. You only spend time reviewing shortlisted candidates asynchronously instead of sitting in back-to-back calls. It s especially useful ... ... community templates save hours of setup time, and the AI workflow builder is genuinely useful for complex automations. Make (formerly Integromat) - When you need granular control over data transformations, Make shines. The scenario editor is more powerful than most alternatives

... everyone, We launched Scorecard today. It's an evaluation platform for AI agents that I built after a close call with a medical AI that confused dosing guidelines during testing. My background is from Waymo where we tested autonomous vehicles extensively before deployment. The AI agent space desperately needs the same rigor, too many teams are shipping without proper testing frameworks. Scorecard

... knows how to learn, why to learn, and how to reframe what you already know when the world shifts which, in tech especially, it always does. Comment from Paul Malott(@automations24): @busmark_w_nika Haha, love the 1:0 scorecard. You re right students usually are quicker to spot and play with new tools, and that edge is real. But I think the real game isn t just adoption speed it s how you translate that raw experimentation into durable ... ... trump card: they can help people connect the dots theory, application, ethics, and scale... so the tools don t just become a series of hacks, but part of a bigger arc of learning. So maybe it s less Students vs

... argue biased AI can at least be corrected. Biased humans? Harder. That said, I wouldn t trust either one alone. The real opportunity is in designing better decision systems where humans and AI balance each other out. Think structured scorecards + algorithmic suggestions + final human judgment. Comment from Dmytro Tomniuk(@dmytrotomniuk): @adi_singh5  in my opinion, complete elimination of bias in AI would never happen because the AI systems are trained on data that reflects our own societal biases. Hence ...

... been working on voice-first AI for a while and our team recently built an autonomous interviewer handle an entire first-round call - questions, follow-ups, scorecard, etc To me as a founder it's magical because it solves a huge pain point for us in hiring. I d love to your thoughts What s the very first feeling or word that pops up when you picture an AI running your screening call? Actual experiences: If you ve been ...

... learn from those of you who ve done this before: What signs or metrics did you use to know your product was ready to exit beta? Did you regret launching too soon or too late? Any specific frameworks, scorecards, or gut checks you use before deciding? Would really appreciate any wisdom, frameworks, or even hard lessons learned. Thank you! Comment from Parth Ahir(@parth_ahir): One thing we ve found helpful: make your beta exit criteria not just technical ...