... have a confession to make. I've been saving articles "to read later" for at least three years. My bookmark folder has 800+ entries. My Pocket library is a graveyard. I keep promising myself I'll catch up and never do. The problem isn't the tools. Pocket, Instapaper, Raindrop they all save tabs perfectly. The problem is that none of them actually bring you back to what you saved at the right moment. So I built RemindTab a Chrome ... ... when you save a page, you set a reminder, and it actually surfaces the tab when the time comes. Three reminder modes: Exact time ("Tuesday 9am") Recurring ("every Monday morning") "Next time I open Chrome" my favorite, because it catches

... will need to put in for a desired customer satisfaction, just that in this case we are our own customers, in other words, how many human hours are needed for a 92% confidence that nothing is gona break vs the cost of letting it break. Comment from Jeff H(@jeff_h7): @danielyoonadoba  to be fair, "it works but breaks something else" isn't exactly a rare occurrence with human coders either Comment from Abdul Basit Ahmad(@darthcoder): I like ... ... something different to us than to it. The teams winning with AI aren't the ones with perfect prompts. They're the ones who put a human in the loop at the right spot. Not reviewing every line. Just catching

... sign that a human ever touched it. Formatting disasters (7%). Broken tables, missing headers, content that AI couldn't parse. What we're trying to build We're working on a proofreader for our content engine (RCGE v2.2) that catches the second type before it gets published. Not a grammar checker. Something that flags: Content that doesn't add new information Content that doesn't answer a question we've actually seen in AI queries Content that doesn't include ... ... asking for your thoughts. If you've read AI content that felt genuinely useful, what made it work? If you've read content that felt like spam, what tipped you off? What would you want a tool to catch

... your narrative. What You Can Control But you're not helpless. Here's what works: 1. Monitor constantly You can't fix what you can't see. Daily tracking of AI answers across platforms is the only way to catch errors early. 2. Update aggressively AI favors recent content. Pages updated within 90 days are cited 2.3x more often and more likely to reflect current truth. 3. Create authoritative sources AI learns from patterns. If your site consistently says ... ... responses correctly cited their SOC2 status. Time to full recovery: 3 months Cost of lost deals during recovery: ~ 400k The Opportunity Hidden in the Risk Here's the contrarian take: If you're monitoring AI answers while competitors

... Product Hunt! I m the Project Lead for Lensmor . We ve all been there: You have a folder full of competitor screenshots or a spreadsheet of pricing changes. But the tricky part isn t collecting the data it s knowing what to do with it (and doing it fast enough to matter). That s why we are building Lensmor. It s the first AI agent that doesn't just alert you to competitor

... Plan, $49/mo ( 250 reviews/month ) Growth Plan, $199/mo ( 2000 reviews/month ) AI-Powered Developer Superpowers Fix in Cursor Button - One-click fixes in your PR comments that open Cursor with ready-to-go AI prompts Hallucination Detection - Our new eval engine catches and removes 99% of AI hallucinations in reviews Faster Review Cycles - Low priority comments now appear in PR bodies (not as review comments) so you can merge faster Review Engine V6 - Smarter, faster, and more accurate code reviews with better ... ... security checks Codebase Learnings - MatterAI now builds a contextual map of your entire codebase for deeper insights Axon-Code Model - All customers now use our powerful default `axon-code` model for reviews Similarity Search - Catches