... coming weeks. As AI is changing the world for solo founders, small teams, and everyone around, the need to make sure everything is working as expected is bigger than ever - and issues should be caught by your infra monitoring tools, not reported by your customers. That's exactly why I built Nuberio. It gives you a report card of what monitoring you have configured - what's good/healthy, what's missing, and what's just noise. Copy the CLI output ... ... output file to get your report card - zero setup, zero access needed, no data shared or stored anywhere. Or install with read-only IAM access for continuous scanning, so your report card stays up to date as your infra

... what it actually does: It sees your screen and acts on it Not summarizes. Not suggests. Clicks, scrolls, fills forms, and navigates any page, on its own. It builds Google Sheets and Docs from scratch "Make me a competitor pricing table with graphs." It opens the tabs, pulls the data, formats the sheet, builds the charts. You just watch. It runs WhatsApp & Telegram like a personal assistant Broadcast to 50 contacts at once. Send follow-ups with Word docs ... ... attached. Message from your phone, get a finished file back. Nobody else does this. It monitors pages and pushes you alerts Price dropped? Ticket available? Competitor

... When it comes to AI Memory, everyone's arguing "RAG vs. grep" like it's a religious war. It's not. It's just a cost curve. I've gotten this question so many times that I thought I'd just share my thoughts. So here goes: Vector search wins when your corpus is massive, messy, and unstructured. Thousands of docs, no clean boundaries, meaning matters more than exact words. Filesystem plus grep wins when your corpus is structured ... ... actually yours. A folder of markdown files you can open, read, and audit line by line. No infra

... everyone, I'm Raghav, a Flutter developer from India (IIT Roorkee '24) and i'm open to new opportunities. What i've shipped: Fest Connect - event-tech platform i built solo from scratch. Flutter apps, backend, AWS/Azure infra, CI/CD, Grafana monitoring. 5,000+ users across 3 colleges. Ones Need rebuilt a single-supplier water delivery app into a multi-supplier marketplace (think Blinkit/DoorDash style). 500+ daily orders, 3,000+ families. Built 3 Flutter apps: consumer, delivery rider, and supplier onboarding ... ... What i bring: full ownership from architecture to deployment. I've set up CI/CD pipelines, monitoring stacks, handled live production incidents, and led small cross-functional teams. Comfortable with Node.js, React, and cloud infra

... everyone, I'm Raghav, a Flutter developer from India (IIT Roorkee '24) and i'm open to new opportunities. What i've shipped: Fest Connect - event-tech platform i built solo from scratch. Flutter apps, backend, AWS/Azure infra, CI/CD, Grafana monitoring. 5,000+ users across 3 colleges. Ones Need rebuilt a single-supplier water delivery app into a multi-supplier marketplace (think Blinkit/DoorDash style). 500+ daily orders, 3,000+ families. Built 3 Flutter apps: consumer, delivery rider, and supplier onboarding ... ... What i bring: full ownership from architecture to deployment. I've set up CI/CD pipelines, monitoring stacks, handled live production incidents, and led small cross-functional teams. Comfortable with Node.js, React, and cloud infra

... financial statements? Connecting wrong dots: Stitching two unrelated facts together to create a fake story? Getting lost: Context drifting when dealing with huge, multi-page files? And how are you guys fighting back? Are you fixing this at the infra level, playing around with prompts, or just relying on a human-in-the-loop to double-check everything? For example, are you using: Advanced RAG: Better chunking, hybrid search, or re-ranking? Self-Correction: Making the LLM verify ... ... small negative word like not or unless. Summaries can hide the mistake, but extraction/Q&A makes it much easier to spot when the model stretched the evidence too far. I ll take a look at Ethos the supported vs

... been a week since we launched @SolonGate . You guys are pushing the absolute limits of agentic workflows which means you're also realizing how terrifying it is when autonomous agents actually have access to your infra. To kill that anxiety, we just pushed DLP & Secret Scanning for SolonGate. It scans tool arguments in milliseconds. If your agent hallucinates and tries to pass an AWS key, Anthropic token, JWT, or a custom PII regex to an external tool, SolonGate kills ... ... model to police itself. Curious how you think about balancing strict blocking with keeping agent workflows usable. Comment from Alper Tayfur(@alpertayfurr): Hello @emirhandemir This is exactly the layer agents need once they move from demos to real infra

... posts [and soon one more that I am working on SafeLimit  prevents me from being banned on LinkedIn, so I will not lose my account.] What are your five? Comment from Mo MSGM(@mohammed_messeguem): Obviously Claude Code VS Code Git : I use them for everything Postman Loom Comment from Mustafa Arian(@thenameisarian): my 5. but not the ones you would guess. quiet. the first hour of the day with no notifications is the most productive tool ... ... Cursor fast app/project editing 2. Factory agent-style coding workflows 3. Codex code changes and repo tasks 4. Claude long-context planning and review 5. ChatGPT product planning, launch work, debugging, and second opinions Honorable mentions: VS

... love a review or upvote on AI Hive we're building automation workflow infra for enterprise teams: https://www.producthunt.com/prod... Comment from Nolan Vu(@nolan_vu): @ericl04  Both of these are solving genuinely painful problems. ChatForger hits a gap I've seen agencies struggle with for years: they want to offer AI chatbots but building the infra

... tech divisions have done for many years before the advent of coding agents. Focus on reliability and observability. Not all tech-debt is equal but we are keeping a close eye on the most critical paths with additional infra to monitor for that. What tradeoffs are you making, and what's working for you? Especially curious about teams that are heavily AI-assisted in their development workflow. Comment from Evan Holloway(@evanholloway43): As a non-technical founder building an agency ... ... Fair point and yes, I believe continuous refactoring tilts the equation here. Same can be said about error resolution. As long as instrumentation is in place to catch issues quickly one could say the trade-off of moving fast vs

... failing liveness destroys process state. Confirm exit codes before you blame memory. Exit 137 with reason Error is a SIGKILL from outside the process, which includes kubelet s probe killer. OOM kills come with their own Reason: OOMKilled. Reproduce infra changes against real infra

... doorbell. It rings the same whether it's a package or a fire. That's basically the gap Pushary fills, same hook idea you've already wired, but the event carries a real handoff (done vs blocked vs

... solved what comes after. Working on something early stage in this space. Not ready to share details yet but want to understand how real this pain is for other builders before going too deep. How do you currently handle infra setup? And what part of it do you hate the most? Comment from Atul Yadav(@atul_yadav20): the framing that infra

... simincident.com . No programming background apart from casually learning C++ years ago at a basic level. The AI wave was a game changer for me because I always wanted to build my own product. Started by pasting ChatGPT code into VS Code, then discovered Claude in February this year and that was it. I was able to deliver a whole product. The problem? I never validated if anyone actually needed it. Zero traffic. People who signed up for beta never tried ... ... when I started building Luminens a 16-bit browser RAW photo editor running on WebGPU and libraw-wasm. Talk about a nightmare of structural complexity. I moved away from automated builders (I've tried all of them), switched to VS

... intelligence layer that understands context, relationships, and confidence . Fast enough to answer before the LLM loads. Accurate enough to stake a compliance decision on. Where we are today: Sub-10ms query latency 67% reduction in LLM inference costs vs standard RAG Fully deterministic output with audit trail on every decision Deep in conversations with BFSI enterprises Still figuring out a lot. But genuinely excited about the problem and the people we're meeting along the way. Would love to connect ... ... with anyone who's building in AI infra

... intervention, and most companies have zero visibility into any of it. What Scope is up to We run real workflows across Claude Code, Codex, Cursor, and other agents on real customer products, then surface where the agent picks a competitor, where it stalls, where the docs confuse it, and exactly what to change to win the next run. We launch on PH next week. Founders, DevRel, growth, or product folks at companies with developer ICPs - I want to hear ... ... thinking about agent traffic today. If you ship an API, SDK, CLI, infra

... been working in the AI + infrastructure space, building distributed systems and execution layers. For the past few months, I ve been building Jungle Grid focused on removing the need to manually pick GPUs and deal with infra when running AI workloads. We re launching on April 28th (12:01 AM PDT): https://www.producthunt.com/prod... Would love to connect with others working on AI infra

... 000/month. Just for data access. No scoring, no AI. Just moving heart rate from point A to point B. At 100,000 users: $50,000-200,000/month. For data plumbing. Open Wearables: you pay for your own infra. $200-500/month for a typical startup, whether you have 1,000 or 100,000 users. Data layer, scoring, AI reasoning, all MIT licensed. We think the margin should be in what you build on top, not in moving JSON between ... ... maksymowicz): @judith_wang  Per-user pricing is fine at 100 users. At 10,000 it becomes a business model problem. Self-hosted means you pay for infrastructure only: at that scale, the difference is typically $200-500/month versus

... describe the workload it runs. No picking 4090 vs A100. No region debates. No infra

... calling infrastructure is a mess. Most teams building voice agents today are duct-taping wrappers on top of existing platforms, and then wondering why their agents sound robotic, break under load, or cost a fortune to scale. The underlying infra was never designed for what people are trying to build with it today. That's what we're working on. Not a wrapper. The layer beneath the wrapper. It's early. The site isn't even pretty yet ( vaaadai.com ... ... judge ). But if you're building anything in the voice AI space, or just curious about what "real infra

... dying from 5 open tabs. no team, my openrouter balance is probably in the negatives rn, and i still shipped it also building a memory layer for ai making ai actually remember u across sessions without all the complex infra. still early if any of this sounds interesting or u wanna build smth together just dm me. dont go easy on the feedback ...

... world ops: approvals, CX, sales, finance, and data workflows that actually touch your systems. The DronaHQ Agentic Platform lets you plug into your existing stack (CRMs, helpdesks, billing, internal tools) and spin up production ready agents without wrestling with infra, stitching tools, or managing vector DBs. You describe the workflow, wire it to your tools, and let agents handle things like: Invoice processing and approvals Recruitment and candidate screening flows Lead enrichment, routing, and follow ups Travel desk and reimbursements ...

... After selling my previous AI fintech startup in August 2025, I finally had the time to work on a side ...

... products are AI agents actually choosing today? A few things we re starting to see: 1. Agents don t pick what devs say they like They pick what they can actually execute. For example: Resend often gets picked over alternatives for transactional email not because of branding but because it s easier to use, faster to integrate, fewer blockers This feels like a different layer of competition: execution > preference 2. We started running task-based comparisons We define tasks ... ... Curious how others are thinking about this: Are you designing your product for agents yet? What makes a tool agent-friendly in your experience? Do you think agent-driven distribution will matter? If you re building dev tools / agent infra

... both worlds. What I learned After building an entire SaaS product this way, here's my framework for using AI effectively: Critical infrastructure - write it yourself. Use AI only for refactoring isolated modules. The debugging cost of AI-generated infra code is not worth the speed gain. Business logic and APIs - hybrid approach. Build the foundation and patterns manually, then teach AI your style before letting it contribute. Your patterns, AI's speed. Frontend and UI - let AI take ... ... needed Comment from Umair(@umairnadeem): the layer framework makes sense but i think the real variable isnt "where you use AI" its whether you can read what it wrote and know if its wrong. senior devs avoiding AI on infra