... NANDA report (2025) found about 95% of gen AI pilots showed no measurable P&L impact. Gartner expects 40%+ of agentic AI projects to get scrapped by the end of 2027. So where do all the messymiddles go? The one that still stings for me: an agent that worked great in English and fell apart the first week real customers wrote in other languages. Nobody tested it. Me included. Felt pretty dumb tbh. A couple more ...

... That slot machine feeling is so real when users burn credits on bad outputs. I've seen a few teams use a free retry token for failed jobs instead of touching credit balances. How are you detecting system failures vs bad prompts on your end? Comment from Asad M.(@asadmalik901): @galdayan  A time window is the version I can build without shipping new UI, so that's probably where I start. The catch is our renders take about ... ... rather be wrong in that direction while we find out. Comment from Gal Dayan(@galdayan): @asadmalik901  charging for intent instead of outcome is a defensible line, but it's still a proxy, same as the score-vs

... assistant specifically designed for early-stage founders. Here's what it actually does: Structured decision analysis You describe your decision, and it walks you through a framework (not just a "do this" answer, but a real evaluation: risks, assumptions, alternatives) Pattern recognition It learns your decision-making patterns over time and flags when you're repeating mistakes Blind spot detection It asks the questions you're not asking yourself It's not a replacement for intuition or community ... ... built it this way: I spent months testing different approaches. At first, I thought founders just wanted "better answers." I was wrong. What founders actually want is better questions and someone (or something) to help them think through the messy

... journey, not just the highlight. Be honest on a normal feed, you post the launch update, the milestone screenshot, the "we hit $10k MRR" post. That's maybe 5% of what building actually looks like. The other 95% the messymiddle, the pivots, the "not sure if this feature even matters" days has nowhere to go. "D Stage" is built for exactly that part. You share the process continuously, and get feedback while you're still figuring things ...

... Debra's @debra_salt point about messy builds beating polished demos are basically our whole thesis in two sentences. We built DemoBook for this. A library of short clips of people actually using AI tools in real workflows, the messy

... Hello, Guang here. I work around BI, reporting, dashboards, and the messymiddle between raw data and business decisions. A lot of my work is helping teams clean up spreadsheet-heavy processes, automate recurring reports, define KPIs properly, and build dashboards that people can rely on in meetings. I'm especially interested in tools that make analytics work more practical: cleaner data imports, better refresh schedules, easier reporting automation, stronger QA checks, and Workflows that dont require every team ...

... Anthropic's move makes sense for sustainability, but it definitely adds friction for power users. Do you think we ll eventually see a 'pay-per-token' model become the standard for pro consumers, or will credits remain the messymiddle ground? Comment from Stan Kolotinskiy(@sk_uxpin): I guess it was a matter of time before this happens to all the AI companies - the coding plans are actually making them lose money ...

... find AI most useful? Have you noticed your work becoming more efficient but less distinctive? What do you intentionally keep human in your process? Comment from Alper Tayfur(@alpertayfurr): I m using it mostly for speed in the messymiddle early exploration, copy variations, quick UI directions, and summarizing research. That part is genuinely useful. But I ve noticed the same thing you mentioned: the outputs get solid fast, and also a bit same-y fast. That s why taste ...

... Olamide Agusto. Emotional Brand and Social Media Strategist. And starting today, I'm building in public. I'm going to share my frameworks, my thinking, my case studies, and the messymiddle of building a career around one belief: Brands that win are brands that feel. I've spent years doing this work quietly. Creating strategy documents, building playbooks, helping brands find their emotional footing. But I kept it all behind closed doors. Not anymore. Here's what ...

... officially in nominees season for the Orbit Awards: AI Workflow Automation. This category is the how did I ever do this manually corner of AI. The tools that connect the messymiddle. They route requests, hand off tasks, chase down follow ups, update systems, and generally keep work moving while you re doing literally anything else. The products in the running are @n8n , @Taskade , @Zapier , @Trace , @Relay.app , @Gumloop , @Lindy , @Wordware , @Airtop . Now we want the stories behind the automations. Which ... ... product s Product Hunt Hub. Comment from Rishikesh Ranjan(@ranjanrishikesh): love @relay.app, so many in-built integrations. Comment from Tom Tomaszewski(@tom_tms): I've tested them all, and went with @Relay.app . It sits in a sweetspot of complexity

... guide me to a right forum. I genuinely need some help here. Comment from haider ali khan(@haider_ali_khan1): @gnizdoapp  "the hardest problems usually aren t in AI-able steps (design, photos, content) they re in the messymiddle: SKU structure, versioning, handoffs, and keeping catalog, listings, and inventory in sync across channels." Exactly what we are trying to solve, for that I am open to speaking to 10-15 operators in fashion to understand how things work ... ... interested in checking in out. Comment from Josef(@gnizdoapp): Love the intent here. One thing you might discover quickly: in fashion, the hardest problems usually aren t in AI-able steps (design, photos, content) they re in the

... Comment from Imtiyaz (@imtiyazmohammed): @alexcloudstar I think it helps both, but the ecosystem benefits more. When founders share what didn t work, it turns vague advice into concrete lessons about timing, assumptions, and trade-offs. It also normalizes the messymiddle, which most people are actually in. Our journey with Curatora has had plenty of quiet dead ends that taught us more than any small win. Those lessons shape better decisions the next time. Sharing them makes the path feel ... ... something possible. Comment from Alex Cloudstar(@alexcloudstar): @imtiyazmohammed  Well said. That s exactly it. Failure stories turn abstract advice into real lessons about timing, assumptions, and trade-offs. They also reflect where most founders actually are, in the

... been making short films for as long as I can remember.  My first short was back in middle school, where my brother and I pretended we were in Star Wars, dueling with dowel rod lightsabers. By the time I met my co-founders, Spencer and Charlie, in college, my storytelling had (I hope) evolved well past my VFX-obsessed origin story. We met on the set of a feel-good student short I directed last fall. But this wasn ... ... that filmmakers actually don't want to do: How do you get from a greenlit script to scheduled shoot as quickly as possible? Everyone was focused on cutting out creatives. No one was using AI to cut out the messy

... Honestly, just being part of the community has taught me way more than any cold DM ever could. Rooting for you as you keep going and totally here if you ever wanna swap lessons or just talk through the messymiddle. It s a weird but kind of magical stage Comment from Ambika Vaish(@ambika_vaish): Hey @resonancex , I totally feel this. That early stage where you're trying to validate your product but it feels like you're talking ...