... most of them I said "not yet, that's next." Six weeks on, here's what actually happened. Done : @maschiojv asked about Paddle, it now has 21 curated failure patterns instead of a bare spec import. @galdayan and @henry_s_jung both asked who keeps the sandbox honest over time. There's now a fidelity probe that fires the same request at the real provider and at our sandbox and diffs the result. It's already caught four real drifts ...

... deeply indexed media library. We packaged up the same Elon footage we used if anyone wants to try a different idea with it. Would genuinely love to see what other agents come up with. https://www.clipto.com/mcp/demo-... Comment from Henry Kang(@henrykang): @chrismessina  hhh, thanks for posting the video! Once you see it, can not be unseen. It has been in infinite loop mode for the past few days :D Comment from Chris Messina(@chrismessina): ...

... want filled next? Comment from Sundar Balamurugan(@sundar_balamurugan): @brielle_marie  Ofcourse . Comment from Alice Hayes(@alice_hayes2): @sundar_balamurugan Gesto Labeller is a pretty interesting part of this whole steup. Comment from Gideon Henry(@gideon_henry

... people are more likely to be online. I suppose that they are on vacation :) Comment from Nika(@busmark_w_nika): @farrukh_ahmed8877   @hammad_shams_uddin  When is the launch? Do you know any exact date? Comment from Henry Robt(@henry

... everyone, I'm Henry. Background is finance and investing, not engineering, but I got tired of asking one AI a hard question and just trusting whatever confident answer came back. So I built Polora : a few AI models debate your question live, a researcher fact-checks their claims, and a neutral arbiter calls a verdict, but the decision is still yours. Launching on Product Hunt July 14. Built solo, with a lot of help from Claude Code, which ...

... moment, would appreciate your eye on AI Hive too. Comment from Nolan Vu(@nolan_vu): @samuelcrotti  Real pain point, props for tackling it head on. Ran a small Shopify store for a bit and the ad spend vs actual profit math was always a mess of half-updated spreadsheets, never trusted the number by the time I looked at it. If Margn can pull that into one reliable figure without me reconciling three platforms by hand, that's worth ... ... that's usually where documentation tools fall behind reality. Would love your feedback on AI Hive too if you're open to it, an automation platform I'm building for teams. Any review helps a lot: Comment from Henry

... early 1900s, everyone wanted a faster horse carriage. How to make the wooden wheels roll smoother, how to breed faster horses, how to make the cabin lighter? But they were on the completely wrong thing. Henry Ford built a motorzed vehicle and took over everything. It wasn't just a faster transportation; it was a completely different parallel. We aim to recreate this difference with Dirac vs

... Product Hunt. I'm Katherine from Pawse.ai , and together with co-founder Luis Magalh es, we built Pawse.ai because of Henry. ( https://www.producthunt.com/prod... ) Henry

... actual insight, and it's bigger than it looks: making the notification say why it's waiting is what turns a ping into a triage. "Done" makes you tab back to find out what "done" means. "Needs approval vs finished vs

... feedback: Would you trust an AI agent to call your leads? What would stop you from adopting it? Which industries do you think would benefit most? Website: dialbotix.com Looking forward to your thoughts. Comment from Rian Robertson(@rianbrob): Hey Henry, love the idea of instantly engaging leads with an AI voice... timely follow up is such a game changer. I think many SaaS and B2B companies would benefit, especially those with high volume inbound forms. Trust would come from clear ...

... super useful for me: youtube.com/watch?v=BsWxPI9UM4c Comment from Nikolas Dimitroulakis(@nikolas_dimitroulakis): @elara_thorn  I totally agree. things are similar in the dev tooling space + whats key is test automation and scripting. Comment from Nikolas Dimitroulakis(@nikolas_dimitroulakis): @henry_lindsey  good point! Comment from Nikolas Dimitroulakis(@nikolas_dimitroulakis): @ada_johnsen  no, I dont use...I agree, I also mostly test when external API are involved!. what external apis do you use? Comment from Nikolas Dimitroulakis(@nikolas_dimitroulakis ... ... write the code and decide what to test, youre asking it to grade its own homework. the spec has to come from you - or from a second agent thats given the requirements but never sees the code. Comment from Henry

... deep subject matter expertise . The classic playbook is broken. Software startups used to win by moving faster than incumbents on product. Now if you can build an MVP in four weeks with two people, so can your many competitors. The crowding problem is real. So what's actually defensible? Marc Andreessen put it simply: the moat is not the model . It's the product, integration, distribution, and captured value. And according to QED Investors, moats exist only for companies that ... ... there still a defensible moat for the right product? Should early-stage founders default to bootstrapping over raising? And if you've raised, would you make the same decision today? Comment from Raj Kumar(@new_user___0932026a86e905cf4b2b7f7): @henry

... what Local Panel can do before purchasing, and it s currently launching on Product Hunt. If you d like to support us and check it out: https://www.producthunt.com/prod... Thanks in advance to everyone - O uz Comment from Henry Lindsey(@henry

... view, approve, export, or modify provenance data before thinking about long-term storage rules. But retention becomes critical once organizations start treating those records as operational or compliance evidence instead of temporary telemetry. Comment from Praveen(@praveen62): @henry_lindsey  Exactly. Visibility scales relatively easily because it s mostly an observation problem. Control is harder because it requires consistent enforcement across identity, retention, permissions, policy evaluation, and workflow state often across multiple systems at once. That s usually where ... ... treated as entirely independent actions either. If a policy blocks a change, the retry path needs provenance continuity: what changed between attempts, whether the prompt/model/context materially shifted, who initiated the retry, and whether the policy conflict was actually resolved versus

... evidence items, and choose appropriate ordering so your specialist adapter wins over the fallback. If you ve extended LineageLens for an internal tool, what heuristics did you use to build confidence and avoid false positives? Comment from Praveen(@praveen62): @henry_lindsey  Completely agree. A provenance system can tolerate missing attribution more than incorrect attribution. Once teams start seeing false positives, confidence in the entire lineage chain degrades very quickly. That s why I leaned toward conservative detection + evidence emission ... ... single-agent phase? Comment from Ali Haider(@ali_haiider): Interesting that you emphasized keeping private tooling internal instead of routing everything through a third-party vendor. I think more teams are starting to care about that. Comment from Henry

... adoption graphs, we track the delta in user workflows-specifically looking at whether the feature shortens time-to-value, improves long-term retention, or reduces friction in their daily habits post-launch. Comment from Maya Elor(@maya_elor): @henry_lindsey So true, replacing fixed plans with real-time product value data is the only way teams can confidently embrace true flexibility. Comment from Qasim Khan(@qasimkhan): I started Building, started getting and asking for user feedback, features they'd like ... ... first ever Product, the struggles , hhahaha Comment from Blake at Vassant(@blakeatvassant): @nolan_vu honestly weeks is still a decent timeline. I m glad you course-corrected faster than most other teams do Comment from Henry

... free in the app, but if you happen to have several solar systems, you'll need the in-app purchase (a one-time fee purchase ->normal price 6,99 EUR/USD, for PH temporary 2,99 EUR/USD). Comment from Henry Lindsey(@henry

... Henry, the founder of QuantDinger. I built QuantDinger because I kept seeing the same problem in quant trading: Trading ideas are easy. Turning them into tested, executable, and continuously improvable strategies is hard. Most tools solve only one step. You may use one platform for charts, another for writing code, another for backtesting, another for exchange execution, and another for monitoring. QuantDinger is our attempt to connect the full workflow: Research Strategy Backtest Optimize Live Trading Monitor It is open ... ... builders, and anyone interested in quant trading infrastructure. If you try it, please let us know: What feels useful? What feels confusing? What should we build next? Thanks for checking it out Comment from Rian Robertson(@rianbrob): Impressive, Henry

... understand. I m curious how other developers handle this today: When a local repo becomes huge, do you inspect it manually, rely on terminal commands, rebuild from scratch, or mostly ignore it until storage becomes a problem? Comment from Henry Lindsey(@henry

... designers here: Do you prefer building highly custom, branded UIs for your desktop apps, or do you stick strictly to the native OS design guidelines? Let s debate! Comment from Orhan Kilic(@orhan_kilic): @emre_yilmaz_easyparser   @henry_lindsey   @new_user___090202674ab6e030a7a9c52   @shania_jennings  Exactly, Shania! Form follows function. For a tool that touches your system files, 'predictable' is much better than 'fancy'. Reliability is the best feature I can offer. Comment from Ghost Kitty(@ghost ... ... kitty-9637647): Comment Deleted Comment from Shania Jennings(@shania_jennings): @emre_yilmaz_easyparser   @orhan_kilic   @henry

... think "build the brand" advice sometimes becomes an excuse to not build the hard thing. Comment from Piyush Gajrani(@piyush_teq): @busmark_w_nika Most founders don t fail at brand vs product they fail at timing clarity. Knowing when to show up vs

... intervals Each area includes its own detailed analysis prompt. For example, the Conversion Funnel prompt tells the agent to check cart abandonment by price range, compare category-level conversion, and estimate revenue at risk and it defines what "critical" vs "medium" severity means for this type of insight. The Gaming pack shows how category-specific areas work: Churn, Engagement, and Monetization apply to all game types, but ad_performance only activates for Casual games and economy only for Idle games ... ... /blog/domain-packs Docs: Creating Domain Packs Repo: https://github.com/decisionbox-i... Happy to answer questions in the thread especially if you're thinking about building a pack for your own industry and want a sanity check on the structure. Comment from Henry

... Selling a product that is highly technical with no UI to demo in a highly regulated environment requires being able to tell the right story. Its answering questions like "why is this for me", "what's considered good vs bad", and "what kind of benefit will i see". It comes from having discussions with customers and teams so you understand where they are coming from. Otherwise you're telling them benefits that aren't for them and you lose ... ... test! Comment from Tal Elor(@tal_elor): @susie_johns  Exactly the point!! It doesn t make sense that we keep relying on people s availability and their knowledge. Comment from Tal Elor(@tal_elor): @susie_johns   @henry

... which makes me want to let 4.7 settle before touching anything in production Comment from Bruce Warren(@bruce_warren): Curious how this performs in long running tasks. Does the self verification help prevent drift over time? Comment from Henry Habib(@henry

... save you time? What s the #1 feature you feel is missing from current voice AI infrastructure? Check out the launch and see the demo here: SigmaMind MCP Launch We ll be here all day answering questions! Comment from Henry Lindsey(@henry