... rather add one click than let the system be confidently wrong about your revenue. What got better under the hood Relationship Intelligence accuracy moved from the high 50s/low 60s to 80%+. That didn't come from tuning a rubric until the score looked nice it came from an engineering audit and real fixes. Slower, less flattering, far more durable. We also ran a head-to-head classifier benchmark and moved to Claude Haiku 4.5 after the alternative

... instead of a DSA round and a gut-feel culture interview. The core idea: before any assessment exists, a hiring manager defines 4-6 things the hire will really do in their first 90 days. That list becomes the rubric. Candidates get a scoped task built from it (PR review, small build, debug), and an AI asks live follow-ups based on what they actually say so a rehearsed answer breaks on question two. We deliberately skipped personality tests ... ... structured, evidence-based behavioral scoring, because that's what the research (and the hiring leaders we've talked to) says actually predicts performance and reduces bias. What we don't have yet, and why we're here: a real rubric

... didn't survive being written down. Comment from Asad M.(@asadmalik901): @galdayan  The call-scoring case is worse than most because revenue makes it feel validated. You can be exactly wrong and still correlate, small sample plus a rubric someone wrote by feel, landing on top of a real number. The part I'd steal from linters isn't the line reference, it's that a linter can be switched off. A score a user can't disable when ... ... this sentence at 2:14 is why the number moved. Weights explain the formula, not the verdict. Comment from Gal Dayan(@galdayan): this matches something I ran into today reading through launches - a call-scoring tool that ties its rubric

... part I care about most is the exam checker. Multiple choice and true/false get marked by exact comparison no AI, no ambiguity. Written answers go to AI, but the mark is presented as a suggestion tied to the original rubric, editable before it counts for anything. Felt like the only honest way to handle AI judgment on something with real stakes. Everything's built from the teacher's own material rather than generic curriculum content paste a chapter, get questions/plans/guides ...

... github.com/fetchsandbox/playground I want the "this didn't work" reports as much as the wins. Ask me anything. Comment from Raj Nagulapalle(@rnagulapalle): @omri_ben_shoham1  thanks again man.. you have found the real gap in the rubric, and no ... today the engine checks the outcome .."does it reproduce", not whether the model's stated cause is the actual cause. right-for-the-wrong-reason passes today and you are 100% right that it looks identical ... ... handler will process the second delivery as new state." the ones that are noise say something like "this looks like it could fail" with no concrete trigger. the former i log as a calibration gap and update the rubric

... Founder of LeaseWise. LeaseWise ( leasescanassistant.com ) is a website that allows you to upload your residential lease and instantly receive a full, in-depth report including key clauses and red flags, a 0-100 score based on our LeaseScore Rubric, as well as a general summary. We are all about tenant rights. Our other products are for tenant representatives and landlords as well. Please feel free to ask about those products or check them out. In a world where landlords have ...

... living in two systems at once. Alongside that: AI resume screening that actually reads every resume, clean hiring reports, dual-currency pricing, and a live dashboard tying it all together. Also shoutout to everyone pushing back on default scoring rubrics (you know who you are ). That's now genuinely on our radar. This is exactly the kind of thing that makes launching here worth it. Curious to hear: if you're dealing with ATS chaos right now, what ...

... across all 39 tools What made it actually useful, not just a badge: the first test came back 3.9 with a per-axis breakdown showing exactly which tools were weak. We rewrote every tool description against their rubric, republished, and the same-day re-test came back 4.1. A neutral grader + a fast fix loop beat weeks of my own polishing and now the score sits on our site pulled live from their badge, so it keeps us honest going ...

... watched this play out with our own engineering team too. The syntax-level stuff got faster. What got harder, and honestly more valuable, is knowing when an agent-generated architecture will hold up under real production load vs just looking clean in a demo. That judgment doesn't come from writing more code, it comes from having shipped things that broke and understanding why. AI made the floor higher for everyone, but it also made the ceiling harder ... ... agent handed back. We redesigned interviews around live pairing where we watch someone review and push back on AI-generated code, not write it from scratch. It's a genuinely different skill to evaluate, and most of our old rubric

... organizations fully "AI-pilled". We wanted to create a tool that that helps founders and CEOs benchmark their company's AI fluency and get recommendations on how to get to the next level. The index is grounded in published rubrics and posts by @zapier , @Fin_ai , @Shopify , @RampLabs , and others. Huge thanks to them for publishing their valuable insights! Head over to www.ai-pilled.com and come back with your report card! :) Best regards Christoph ...

... goal streamline the application process for students, job seekers, researchers, and of course Founders. What we shipped for launch: Question Archive hundreds of programs catalogued across accelerators, grants, grad schools, and jobs. Every question scored by significance. Answer Bank VS-Code-style tree organized by theme. Write once, mark it draft , solid , or locked , reuse it everywhere with confidence tracking. Workstation paste any application you've already filled out and the system pulls the Q&A pairs straight into ... ... tell you who, not the client. The tired business owner. I was over chasing info from teams, drawn out projects, disconnected feedbacks, no way of seeing whom was working on each projects and how much is was costing vs

... roadmap? (I'm sad to admit this.) This is what he said to me. "Nobody knows how to be a founder." "Many of us still don't know." I'd spent years in academia, where there was always a rubric, always a next research project, always an advisor, always someone telling you what "good" looked like. Nobody had ever told me it was okay not to know. The relief hit so hard that I was confident enough to finally take ...

... cost isn't a bad hire, it's the good hire they never reached. Still early, but already scoring 600+ resumes per session with field-level reasoning per candidate, and a feedback loop that lets recruiters refine the rubric in plain English until the output matches their judgment. My background: A CS and AI student running the Product and Consulting club - Arthakram with real client work on the side. Why I'm here: Real feedback from builders who ship ... ... launched something, you know what actually matters vs

... Meta aren't just checking if your code compiles. They're looking for "Signal" your communication, edge-case handling, and architectural trade-offs. Meet InterviewGPT your 24/7 Staff-level AI Mock Interviewer. It evaluates you against actual FAANG hiring rubrics for System Design, Coding, ML, Frontend, SQL, and Behavioral interviews. Stop guessing why you got rejected or down-leveled, and get the personalized feedback that actually moves the needle. Try InterviewGPT out here: https://interviewgpt.deepchill.app/ Want to see exactly what ... ... interviewers evaluate behind the scenes? We drop our best strategies, actual rubrics

... glamorous stuff. But getting it wrong costs you real users and real revenue. But once these are done, you get started with the fun stuff - marketing :-) Comment from Vihaan Kodiganti(@vsync_66): Hi... I'm building LeoIgnite AI, an alternative to generic mental health apps/chatbots. For the app, I've made it web based. Particularly through Lovable's natural language app builder (aka vibe-coding). I'm running the website on a Supabase backend, with Gemini as my primary ... ... tattoos or mockups) Tech-wise I m using: Flutter for the mobile app Firebase (Firestore + functions) OpenAI + Replicate for image generation (testing multiple models right now like DreamShaper, Flux, Ideogram) Biggest challenge so far has been balancing quality vs

... Hunt today Riftur is a tool that helps you compare any two documents and instantly spot what s missing, misaligned, or only partially addressed. Whether you're working on proposals, audits, compliance checklists, internal docs, or even essays and rubrics, it highlights the gaps so you don t have to go line-by-line. We built it because so many teams still do this manually, and tiny inconsistencies often turn into bigger issues later. If that s a workflow ...

... community! We re preparing to launch Riftur, an AI tool within the gap analysis space that helps you compare two documents and instantly see what s missing, incomplete, or inconsistent. It s designed for anyone who works with requirements vs. deliverables proposals, audits, compliance matrices, education materials, internal SOPs, etc. We ll be going live on Product Hunt soon, but before we do, we d love to gather some early feedback from this group: Does the problem/solution resonate with ... ... having clean signals from users is already making a big difference. Riftur is available now if you feel like trying it out, you can check it out here: https://riftur.com/ . Would love to hear what parts feel intuitive vs

... performance management platform built exclusively for law firms and backed by 30+ years of legal-specific data. Most firms still use tools not built for legal work. So we built SRA to fix that, confidential upward reviews, behavior-based rubrics, partner calibration, and clear development insights. Launching soon. Curious: What s your biggest frustration with performance reviews ...