... there feedback loops? Quality checks? Escalation paths? Can someone spot a pattern before customers, revenue, or operations start feeling the effects? As AI agents become part of sales, support, operations, and customer success workflows, AI monitoring and operational resilience start to matter just as much as model capability. The hardest failures may not be dramatic. They may be small, repetitive, and difficult to notice until they've been happening for weeks. How do you detect silent failures in AI workflows ...

... there's a distinction I keep thinking about: apps built with AI (Cursor, Claude, Copilot writing the code) vs apps that depend on AI APIs at runtime to function. I'm in the first camp. I used AI-assisted coding heavily to build Briskly (a cleaning app that scans your room and generates a timed task list), but the app itself makes zero LLM API calls. The scanning runs on Apple's Vision framework, entirely on-device. No tokens ... ... pricing volatility bitten anyone yet? Anyone shipped with local/on-device models (Apple's Foundation Models, Core ML, quantised open models)? How was the quality gap in practice? Where's the line for you? Which features genuinely need a frontier model vs

... work. But here is what I keep coming back to. Whether you work with AI, or with people who use AI, one thing stays the same. You still need real leadership. Integrity. Communication. Empathy. Vision. Accountability. Delegation. Resilience. In this new era, these skills will matter more, not less. That is why I am building a layer that helps you communicate your vision with empathy and integrity, delegate with clarity, and take ownership with resilience

... cascades. Overprovisioned RDS instances. NAT Gateway billing accidents. These are exactly what the simulator surfaces, and they're exactly the things that don't show up until a bill arrives or a load test reveals them. Chaos engineering with resilience scoring. Inject a database crash. Get a resilience

... identify and onboard a secondary stakeholder - usually an operations lead, not the original buyer. Train them, give them ownership of the workflow review, make them visible to leadership. Costs almost nothing. Saves the renewal. Has anyone built a similar resilience mechanism into their CS playbook? Curious what other patterns work. Comment from Nolan Vu(@nolan_vu): I have faced the similar situation too since my previous product failed at the 4th month ...

... gradually seeing how many people in my circles are calling for more capable alternative solutions for products that originally came from the US. They are switching, for example, from ChatGPT to Mistral from Figma to Sketch and the like. Do you also decide when buying a product where it comes from, so that you support your country or territory? (For example, I first look at usability and affordability ; the country of origin is a parameter that I consider last ... ... know about any good European alternatives

... fewer take a few seconds to support others. Still, I'm grateful for that one person who believed in what we're building. Every genuine supporter matters more than a hundred silent observers. Building a product teaches resilience. You keep improving, keep sharing, and keep moving forward regardless of the numbers. If you'd like to support NAMASTRA, I'd truly appreciate it: NAMASTRA To everyone building something from scratch: don't let low engagement stop you. Keep creating. Your ... ... ProductHunt #Startup #BuildInPublic #Entrepreneurship #SaaS #AI #FounderJourney #NAMASTRA Comment from Rian Robertson(@rianbrob): Wow, Tushal what a cool project! I love the idea of an AI powered name meaning search. Congrats on getting it out there and staying resilient

... everyone, posting today's release notes. Most of what shipped is in three places: onboarding, story access, and Content Desk resilience. What changed: Connect once, start writing sooner. When you connect @beehiiv , Kit, or a newsletter archive during setup, onboarding now finishes from that connection, and Voice Training starts right away. If training succeeds, your AI Writer is ready to use without waiting for manual approval. You'll get a note when it's ready. A wider 12-month story ...

... structures into simple, powerful communication. But I always knew I wanted to use my mind to solve large-scale, real-world problems. I transitioned into technology, teaching myself how to architect systems. Today, I am taking all of that resilience, structural thinking, and grit to build Agnixa. Along with my brilliant DevOps co-founder, we are building an autonomous AI "core brain" for software infrastructure. I went from a world where everything felt broken and unpredictable to building systems that ... ... suggest that, agnixa need to increase the limit of auto-fixes in Recon 2.0 model, as my compliance must to be set near 80%. Love the agnixa workspace. Comment from Rian Robertson(@rianbrob): What a powerful story of resilience

... sports. Knowing how to self regulate is key to protecting your team. Comment from Nika(@busmark_w_nika): @eduard477  The point 3 is exactly the situation where I would ghost him :D Comment from James Stokes(@james_stokes1): Resilience that most people will never be tested on. Not the motivational poster kind. The real kind, where everything has fallen apart, and you build anyway. I spent 30 years as a functioning addict holding down sales jobs while hiding ... ... same time,they also need to know how to bring out creativity in their team,and how to identify the truly important signals from the huge amount of information. On a personal level,i think determination,conviction,and resilience

... feels more right today. The reason we open-sourced the scoring algorithms in Open Wearables wasn't just philosophical. It's because conflicting scores are meaningless without context, and context requires transparency. When you can see exactly how a Resilience Score weights HRV versus

... when volatility starts trying to drag the island off course. In simple terms, Blaze Balance Engine is meant to answer one question better than most token projects ever do: How does a live ecosystem stay playable, rewarding, sustainable, and resilient without pretending that markets never move? What Blaze Balance Engine actually is Blaze Balance Engine is the future logic layer that helps Blaze read the state of the ecosystem and recommend or apply safe, pre-approved balancing moves inside hard ... ... limits. That means it is about: pacing pressure resilience

... VaultBit. For years, the digital asset industry has been obsessing over cryptography while completely ignoring physical security. Today, High-Net-Worth Individuals (HNWIs) and Family Offices are trapped in a "dangerous binary" : the catastrophic counterparty risk of centralized exchanges versus the extreme physical vulnerability of domestic self-custody (home invasions, fires, lost seeds). With European regulations like MiCA (Art. 75) and DORA stepping in, operational resilience

... awareness The island is supposed to feel like a place with momentum, not a menu with music. 4) Companion utility layer Companions are not just cosmetic stickers. They are being developed as utility-linked progression entities with: - roles - moods - resilience - check-ins - profile presence - future passive support hooks NFT paths are separate from the live utility logic. That is intentional too. Fun first, ownership second, speculation third. 5) Market-aware ecosystem input Another major design choice is that market visibility ...

... stay engaged because the gameplay is highly strategic, even when the macro-economy tightens. Furthermore, actual liquidity withdrawals are strictly gated behind a 100k holding requirement and manual treasury caps, completely eliminating the threat of automated bank runs. Macro-Resilience, Not Price Manipulation: I m not promising artificial price floors that's a scam. What I m engineering is pure risk-response logic. GrowHouse isn t a yield farm. It is a living Web2.5 ecosystem that breathes with the market ...

... interrupts sleep. I replay meetings in my head at night, editing my own answers after the fact, imagining better versions of myself, better versions of the conversation. It's not fun. But you do learn. And build resilience. Every no gets you closer to a yes. Every awkward meeting or blank stare gives you signal for improving. I don t know how And now we get to what used to be one of the biggest blockers of all: not knowing ...

... clear signal about what resonated most. For anyone new here: Pinnacle turns your iPhone into an AI performance coach. It uses built-in phone sensors, conversation, and wearable data via Apple Health to help you improve focus, resilience, energy, and performance with science-backed tools. You can download the app here: https://apps.apple.com/us/app/pi... A few things that stood out: 1. People want insight, not just more data One of the strongest themes in the comments was that raw metrics ... ... generic scores. 3. Personalisation has to reflect real life One of the most useful questions we got was whether brain-performance baselines should account for hormonal cycles. The answer is yes. If you want to understand focus, energy, and resilience

... because founders shouldn't have to guess if they're investor-ready. Here's how it works: Log your real progress : Revenue, team size, funding raised, customers. Updates in real-time. Get a transparent score : 6 dimensions (idea, execution, resilience, velocity, potential). See exactly where you stand. VCs see you automatically : As you hit milestones, investors actively sourcing get notified. No cold outreach needed. For Founders: Anxiety gone: Stop wondering "are we fundable?" Visibility built in: Hit a milestone ...

... more creative deals Someone without those words keeps making the same offer in different packages 3. How you evaluate trade-offs Rich vocabulary = you can hold multiple competing values simultaneously Limited vocabulary = you collapse complexity into binary thinking Pragmatism vs idealism. Short-term vs

... your emotions for at least a week not your mood, not just your thoughts or descriptions of the situation, but your emotions in that situation. This is the foundation on which everything else is built: reactions, behavior, relationships, stress resilience, and self-acceptance. And finally, no one will make you happier except you. However, you can help yourself make this journey easier. That's exactly what I did and it changed my whole life. I'll be happy to hear ...

... trends to understand your request comprehensively. ACT: Receive Optimized BOMs & Actionable Design Solutions. PartGenie.ai doesn't just search; it solves . You get: Intelligent Bill of Materials (BOMs) : Tailored component lists optimized for your criteria (cost, availability, performance). Smart Alternatives: Proactive suggestions for in-stock, functionally equivalent parts, mitigating design risks. Design Guidance & Technical Q&A: AI-generated insights and answers to complex technical questions, guiding your decision-making process. This entire process, which traditionally consumes weeks ... ... delivered to you in minutes. PartGenie.ai is more than a tool; it's a strategic partner designed to accelerate your workflow, enhance design quality, and ensure supply chain resilience

... more familiar for people. State school and institutes formed such an educational experience for most people on the planet. A pivot towards selling any content at all didn't help the startup because there were already many strong competitors there (e.g., Patreon). It was painful because I was counting on the success of this project the most and even, together with my partner, paid two developers who helped us build the product. My financial resources were reset again ... ... discouraged if it is growing, that s a good signal. Boris, founder of ProblemHunt. And thank you to my wife Victoria for being with me and supporting me all these years. Comment from Shahmeer Baloch(@shahmeer_baloch1): Boris, if resilience

... memory, crash agents, and cost huge amount of dollar in electricity. We built GraphBit to fix that. Why it s different: Rust core lock-free concurrency, dependency-aware scheduling Efficiency CPU usage 0.000 0.352%, memory footprint <0.12 MB Resilience circuit breakers, error classification, adaptive retries Data layer hybrid search, versioned memory, real-time ingest Green AI ~14 more efficient billions in electricity savings + millions of tons of CO avoid The bigger picture IDC forecasts 1.3B AI agents ... ... foundation for production-grade AI- the kind that can scale in finance, energy, automotive, aerospace. Try it here: https://github.com/InfinitiBit/g... Question for you: What s broken most when you tried to take AI from demo production: efficiency, resilience

... built GraphBit, a Rust-powered agentic AI framework with: Lock-free concurrency + dependency-aware scheduling Sub-percent CPU usage (0.000 0.352%) under sustained load A unified data layer (hybrid retrieval, versioned memory, real-time ingest) Built-in resilience: circuit breakers, retries, deterministic execution We just filed our first patent and we re officially launching o 14th of Sep.  AMA about: Why we started with Rust at the core instead of Python How we designed the data layer for reliability ... ... auditability What production teams actually ask for vs

... project to make this easier. It s basically a private journal for founders where: You capture quick wins It builds a timeline ( Memory Lane ) you can revisit And there s an AI spark that reminds you of your past resilience when you re stuck Still super early I m just putting together a waitlist page while I build. If this resonates with anyone, happy to share the link. Waitlist link is here https://waitlist.limmo.vip/ But honestly, I d also just ...