... where human approval entered the loop. Humans still set the goal and approval

... Something I keep running into while building LineageLens: teams know they should review AI-generated code before it merges, but "reviewed" in practice means "someone clicked Approve." The diff could have been open for 3 seconds or 30 minutes. The record looks the same. I shipped a feature this week that tries to make this distinction real. Three behavioral signals time-per-line on the diff, comment count, lines reviewed get scored into a classification: `shallow`, `adequate`, or `deep`. Anything ... ... same as three substantive engagement comments. The 1-second-per-line floor is a judgment call that will occasionally misclassify a genuinely fast reviewer. And any behavioral proxy like this can be gamed if someone is motivated. But "approved

... tend to do a good job of recording events but not always the reasoning behind them. Take a simple example: An AI-generated report goes through an internal review before being shared with customers or stakeholders. Someone makes edits, approves the final version, and the workflow moves forward. Months later, if you look back, the audit trail will usually tell you when the changes happened, who made them, and which version was approved

... Been thinking about this after something that came up recently. Imagine an AI agent makes a recommendation that ends up influencing a customer workflow. The recommendation gets reviewed, approved, and eventually becomes part of how the team operates. Fast forward a few months and someone wants to understand why that decision was made. The interesting part is that the technical history is usually still available. You can find the output. You can find the prompt. You can usually figure ... ... which model generated it. What can be surprisingly difficult to find is the human context around the decision. Who reviewed the recommendation? Who approved

... SDRs. The problem isn't that AI can prospect, research, score leads, or write emails. The problem is that most AI revenue systems operate as black boxes. As AI takes on more revenue work, the question becomes: Who approved this? Why was this prospect selected? What data was used? What exactly happened? That's where Governed Revenue Agents (GRA) come in. What are Governed Revenue Agents? Governed Revenue Agents are AI agents that perform revenue work while remaining auditable, explainable ... ... reviewable by humans. Three principles define the category: 1. Audit Every action is logged. Every prospect selected, every email sent, every CRM update, every workflow execution can be traced and reconstructed. 2. Review Humans stay involved where it matters. Approve

... most cases, it's not that hard to find the model, the prompt, or the output. Teams are getting much better at tracking those things. What feels harder is understanding what happened in between. Who reviewed the recommendation? Who approved it? What information were they looking at when they decided to move forward with it? Maybe there was a conversation that wasn't documented. Maybe there was context that seemed obvious at the time but wasn't recorded anywhere. Maybe ... ... available. Curious how other teams are thinking about this. Comment from Dev Grover(@grover___dev): @sk_uxpin  For example, imagine a support ops team uses an AI agent to recommend refunds for high-value customers. The agent suggests approving

... cost of silent tampering quite a bit. Comment from Praveen(@praveen62): @yuriko19810122  That workflow sounds very close to the operational pain I keep hearing from heavy multi-agent users. The idle waiting problem becomes surprisingly expensive once agents, approvals, and long-running tasks start overlapping across tools. I especially like the distinction between task completed and pending approval

... including USD, EUR, GBP, CAD, KES (Kenyan Shilling), NGN (Nigerian Naira), ZAR (South African Rand), INR (Indian Rupee), JPY (Japanese Yen), and AUD (Australian Dollar) making it accessible across Africa, Asia, Europe, and the Americas. Every grant and loan approval is recorded on the Open Books public ledger ( heavenslive.com/credon/ledger ), viewable by anyone. The treasury mints new currency to fund distributions, and every transaction mint, distribute, burn is permanently logged. ## The /shop Module: Where the Money Goes to Work Getting ... ... Traditional listing ads with offer-based negotiation. Lower barrier to entry perfect for grant recipients testing what sells before scaling up. ### Procurement (Reverse Auctions) Sellers bid to fulfill buyer requests. This is where loan capital really shines: use your approved

... Product Hunt. I work in legal ops and compliance, mostly around data workflows, vendor reviews, approvals, and internal risk controls. I'm interested in products that help teams move faster without losing context: clear ownership, audit trails, retention logic, approval

... table is present: shopify_oauth_tokens The token vault smoke test passed earlier with columns, indexes, foreign keys, and empty vault posture verified. The encrypted token service stub has been tested using fake sample data only. The token storage approval gate is working as a non-persistent review flow. The OAuth exchange dry-run receipt room is installed. The OAuth exchange approval

... table is present: shopify_oauth_tokens The token vault smoke test passed earlier with columns, indexes, foreign keys, and empty vault posture verified. The encrypted token service stub has been tested using fake sample data only. The token storage approval gate is working as a non-persistent review flow. The OAuth exchange dry-run receipt room is installed. The OAuth exchange approval

... premium days. A classic, organic growth loop, right? Well, Apple hit me with a rejection. Apparently, unlocking premium features outside of their standard In-App Purchase flow (even as a reward) is a big no-no. To get OptiClear approved and live for you guys, I had to completely rip out the feature and scrub every single trace of its UI from the codebase before submitting the next build. It hurts to kill a feature you spent days coding ... ... sometimes you just have to choose shipping over perfection. I d love to know your strategies: 1 Has anyone successfully implemented a referral/reward system that Apple actually approves

... thought we knew We assumed enterprise customers wanted the same things as our small business users, just more of it. More security. More control. More features. We never talked to them. We read blog posts. We looked at competitor pricing pages. We guessed. Here's what we missed: Procurement cycles. Enterprise deals take 6-12 months. We had 30-day sales cycles. We weren't built for that. Security reviews. We needed SOC2. We didn't have it. Customers asked ... ... logos feel like proof that the product is real. The mistake is treating customer aspiration as customer research. You didn't need ten enterprise deals. You needed one honest conversation with someone who actually had to get a vendor approved

... data layer for a free tool that helps homebuyers know before they put in the offer if what they want or need to do to a house to make it their dream home/meet their needs is likely to be approved. Slogan: Know before you buy. Why does this matter? The problem lies in that the system is broken. Your options all include risk, loosing money or loosing the house. You really have 3 options: 1. Trust that your real estate ... ... walk away from our deposit (typically thousands) In come AskAugur, named after the old Roman Augurs that would read signs from the gods if something would be successful, my tool uses Machine Learning to predict the likihood of approval

... under the correct forum category (e.g., if it s about Amazon, post it under the Amazon forum). Make sure your discussion does not violate community rules . Make sure your forum follows the Forum Guidelines . If your forum isn t approved, don t panic. Politely ask Product Hunt support what you could do better next time so that your post can meaningfully contribute to the platform and help it grow. I hope that these few points will help ... ... future. If anyone has experience turning a rejected post into an approved

... time Referral Journey Tracking: Complete customer journey from first click to conversion with full transaction transparency Real-time Filtering: Dynamic filtering and sorting for better data exploration Get deeper insights into your affiliate performance and customer acquisition patterns. Conversion Approval System Take control of your affiliate program with manual conversion approval

... creating learning paths), the pop-up modals are now more personalized. They feature a message directly from me and a photo, explaining the value of the premium tools I've designed for you. New videos: I ve just approved a few new community videos: they re now featured on the Discover page! When your video gets approved

... easy to read. I have never used AI, for what it's worth. To be honest, the posting guideline that is provided to us is not that detailed. It leaves a ton of room for whoever reviewing to approve/reject however way they see fit. Currently, out of 10 threads I submit, only 3-4 gets approved

... vary from person to person. This makes decision-making difficult. Actively communicating and understanding each other's tasks, time requirements, and goals can help solve these issues. Comment from Rajiv Ayyangar(@rajiv_ayyangar): @marc__milberg  These aren't exactly approval-related, but three other doc models that I thought were interesting for collaboration were @Almanac by Adam Nathan, @quip (one of the first products I discovered on product hunt! combined chat and documents), and @Dropbox Paper (which, while ... ... size and phase. Can you share a bit more about what you're building, so I can give a little bit more precise insights? There's always a tension between documentation that works well for product and design ideation vs

... days ago I saw some posts here about: the number of discussions is decreasing, sometimes they are approved later, that there is "other community growth" I don't know what was meant by that and I'm just guessing. Yes, the conditions have changed  Forums are more moderated and rules are strict, hoping to bring more value and engagement of active (real) users. https://help.producthunt.com/en/... In general: discussion shouldn't be "egocentric" but should invite ... ... forms. But it s gotta start with really high-quality genuinely valuable conversation. We are being careful to remove anything that smells of engagement farming. If it s not a genuine question or a genuine insight, we won t approve