... answer is, it's totally cool to use Cloud Code within Warp, but we feel like we have several advantages. The biggest one is that Warp, by virtue of being a GUI app, can do things at the UI layer that you simply can't do with a purely TUI-based app like Claude Code. If you check out our preview build, you'll see it's possible to review code diffs, edit the diffs produced by the agent ... ... think, at a par basically with Claude Code's efficiency. We're not trying to compete on price. In fact, I think that's a losing strategy for us. We're trying to add value through the application layer

... Flow software. But we were still a small startup. We knew we could only get one thing to PMF at one time, and we just had to pick our battles. We saw that if we built the software layer first a magical voice experience that actually works and can replace your keyboard we or someone else would have the opportunity down the line to build a hardware device that lets people do it even better. Finally, after a few weeks ... ... that, we weren't even a consumer software company. By January, we were seeing long posts on LinkedIn and X about how the product had changed people s lives. We also saw ~20% of our users convert to paid (vs

... theory: it documents the architecture, failures, refactors and ops decisions that made it production-ready. 5 lessons that actually moved the needle 1. Architecture > prompts. The wins came from memory, quality gates, orchestration, and service layers not better prompts . 2. Hire teams dynamically. A Recruiter AI assembles the right agent team per goal/domain; hard-coding roles doesn t scale. 3. Unify orchestration. Consolidating multiple orchestrators into a Unified Orchestrator cut conflicts and latency, and improved completion rates. 4. Production ... ... performance beyond it works on dev . 5. Load reveals truth. A load-testing shock forced pragmatic quality thresholds and better prioritization systems get smarter under stress. Questions for the community How are you deciding when to use structured vs

... burying your message in jargon. Take this one-liner: Indy Cloud is a know-how and synergy platform. Do you instantly get what this means? No. What about this one? "Nimbus is a next-gen collaboration layer powering integrated human experiences." No, again. Now take Partiful: Plan events in seconds. It only takes four words to explain what they do. When you have a one-liner that people understand, every channel should reflect it: your website and blog, social media ... ... point, we use AI isn t a differentiator. Models are quickly becoming a commodity. So if you re leading with AI in your one-liner, it s worth asking: does that truly set you apart? When it comes to competitors

... Lovable couldn t grasp the sophisticated code I " accidentally built " with @Cursor a few months ago. Instead of recognizing my real 6-layer CLI system, it defaulted to mock code and basic placeholders. I ve since reverted to my original fix-master.js and cleaned up the mess. Here s the moment Lovable gave up So here s the story. I was vibe-coding on my side project Taxfy.co.za when I suddenly started getting a flood of ESLint errors, hydration bugs ... ... errors had dropped. We were stunned from 600+ issues down to just 70. Cursor itself was shocked. So we kept going. Each time a new class of bugs showed up, Cursor responded with a new intelligent fix layer

... same wall: YouTube learning has no structure. Your knowledge gets scattered across random playlists, you're passively consuming content without real retention, and when you're confused, there's nobody to ask. I built Notetube to fix this by layering organizational tools with AI to create a proper learning system: Organizational layer

... Deal (ITAD) had an API I decided to hone in on one simple concept, provide search results and pricing from ITAD using its API. TIP: Keeping your first extension as simple as possible. Get the main action working before layering on user interactions or advanced features. Iterate, Test, Repeat - It took me about a day but once the MVP was running, I focused on user experience. Frequent testing helped catch bugs early. Warp became my go-to terminal for troubleshooting ... ... Warp the model is also auto (Claude 4 Sonnet) but the planning phase is o3. My theory is that a lot of documentation referenced git commands and using a CLI, that it was easier for Warp to execute vs

... from generate a REST API to a deployable service in just a few steps. What to post: Prompt text (copy & paste ready) and its purpose (e.g., Node + Express, React, Python/FastAPI). Key tweaks: how you layered in error handling, authentication, database setup, tests, Docker, CI/CD, etc. Parameter files: JSON/YAML examples you feed in to auto generate endpoints, configs, or components. Bonus points: A single prompt that reads a JSON spec (e.g., service name, endpoints, DB choice) and spins ... ... initepo Example project : https://github.com/initrepo/vent... Example Description: VenturePilot AI is a SaaS platform providing founders with comprehensive, AI-driven market intelligence and validation reports. It empowers data-backed decisions by analyzing startup ideas against market trends, competitor

... technical concepts right away; just an overview may help a lot. And many of the points can apply if you are using tools other than Claude Code. Majority of software for our general use has a UI layer and a data + controller layer

... backend or writing a line of code. Datastripes was born as a browser-native data engine that runs 100% in-browser using WASM + WebGPU, with AI-generated insights, drag & drop flow-based analysis, and even a narration layer that turns your dashboards into podcasts or slides. No more exporting CSVs into a maze of tools. Just drag, drop, and get to the aha. What makes it different? 100% in-browser no backend, server, or installation 300+ visual nodes from ... ... charts to UMAP, regressions, and advanced ML AI-generated insight comments live, per node, even offline Narration layer

... consumer. Turning Consumers Into Authenticity Advocates Ennoventure believes that every consumer can be empowered to act as a real-time verifier of authenticity. With the right tools, they don t just avoid counterfeit products they become a decentralized layer of defense, strengthening brand trust in every market. From Transparency to Action Today s consumers demand more than a quality product they seek proof of authenticity, origin, and safety. This shift creates an opportunity to move brand protection from reactive enforcement ... ... business and brand loyalty. By making authentication consumer-centric, brands send a powerful message: We re safeguarding your purchase, and you have the power to verify it. Beyond QR Codes: Invisible and Secure While QR codes offer a basic layer

... coding - Byterover. If you are a developer, you probably experience the frustration of having to prompt your agent all over again when you switch coding projects. Byterover is built to address that problem. Byterover is a self-improving memory layer for coding agents on AI IDEs like Cursor, Windsurf. Think of it as a system that allows you to create, retrieve coding memories, and bring it for use in any coding projects, or in any teams. You can also share ... ... link to the launch. https://www.producthunt.com/prod... Super grateful if you can support us with 1 upvote! Comment from Cristian Stoian Urzica(@cristian_stoian_urzica): For me it seems like a having/creating a boilerplate under the AI layer

... projects. Therefore, I think about an idea of a memory retrieval system that allows me to create, retrieve those coding memories in my agent. That's how Byterover is started. With Byterover, you can: Connect Byterover's memory layer to your AI IDE via extension Create, organize memory by workspace, and project. Edit, retrieve, and manage memory for your coding agent. Delete outdated memories to keep things clean Share memory across your team so agents learn together We d love ...

... overcomplicating our stacks for no real benefit? Is simple actually the smartest play in 2025? How do you keep your stack lean and maintainable, without FOMO-ing over every trend? Have you ever regretted adding too many layers of tech? I d love to hear how you handle the endless hype cycle while still shipping solid products share your stories, horror tales, or even guilty pleasures below. Let s talk about keeping things simple and sane because sometimes less really ... ... more most of the time. Comment from Hans(@hanzsl): While I agree things are too complicated, it's a symptom of the mess that the web stack itself has become. The web is for transmitting information and the layering

... reliably, and most importantly synced across devices. Nothing quite fit, especially bouncing between Windows and macOS daily. So I started building one. But the deeper I got, the more I realized something: the clipboard is kind of this invisible layer of our daily workflows. It s where everything passes through code, logs, notes, links, screenshots, snippets, thoughts and yet it s treated like a dumb buffer. What if it wasn t? Now I m exploring how to build ... ... layer

... able to save what you teach your agents the whole time and bring them across different projects, or to your dev teams. I'm Andy, the founder and builder of Byterover. We are building a self-improving memory layer for coding agents on different AI IDE. As a developer, I have been obsessed over how to code more efficiently. That's why I started Byterover, in this AI coding era. And memory layer

... community, My team and I just launched Byterover a self-improving memory layer for coding agents on AI IDEs like Cursor, Windsurf, and more. We ve been sitting at #1 for the past 18 hours since launch. Super grateful but I also think we could ve done a lot better with better prep. So I wanted to reflect and share some lessons while they re still fresh: 1 Pre-launch should be at least a week (ideally ... ... experience,... My above content is also one of them. Comment from Rohan Gayen(@admiralrohan): Congratulations on the launch success. I noticed one thing Last launch tagline = AI for code that actually makes docs human-readable Recent launch tagline = Memory layer

... across different apps, forget what you watched last week, and have no way to test if you actually learned anything. My solution combines the familiarity of a notebook with powerful AI to create the ultimate YouTube learning companion: Notebook layer: Organize videos into structured collections, take timestamped notes that sync perfectly with video moments, track your learning progress with visual dashboards, and set learning goals that keep you motivated AI layer

... draft surprised - surprisingly automated: Turned technical jargon into visual flowcharts Matched tech blue gradient template But business scenario pages had duplicate content Iterative tweaking (6 minutes) Optimize with built-in instructions: "Compress scenario pages to 3 typical examples, add competitor comparison dimension" Replaced 5 redundant pages after second generation Visualization of time-saving effects Traditional operation: estimated 6 hours (2h for logic construction + 3h for design + 1h for modification) EasySlides actual test: 12 minutes core framework + 35 minutes detail optimization ... ... Suggestions for newbies to avoid pitfalls Accurate feeding of information: add the command "need to explain to investors" in front of technical terms, AI will automatically reduce the dimensionality of the expression. Layered

... across random playlists, you're just passively watching without retention, and there's no one to ask when you don't understand something. Notetube solves this by combining organizational tools with AI to create an actual learning system: Organizational layer: Create structured collections by topic/course/skill, track your learning progress with visual dashboards, and set achievable learning goals AI layer

... Introducing Faktcheck The Truth Layer for the Internet In a world flooded with misinformation, Faktcheck helps you verify content in r eal-time , right where you read it. Highlight a sentence, right-click, and fact-check. Get AI-assisted accuracy scores, source links, and community-verified insights. Build the Tree of Knowledge a decentralized, tamper-proof record of what s real. Earn rewards for verifying facts with our FAKT token system. Designed for speed, built on Layer

... Instead of giving up, I listened. Here's what I rebuilt in just 4 days: What We REMOVED: Generic AI content generation "Spam tooling" positioning One-size-fits-all approach Surface-level trend detection What We ADDED: Business Intelligence Layer: Trend scoring (1-100), competitive analysis, engagement prediction 42-Language Global Detection: Spot trends before they hit English markets Personalized Dashboards: Industry-specific insights for Tech, Finance, Healthcare, E-commerce, Marketing Research-First Approach: Deep trend analysis with optional content ... ... creation Real-Time Competitive Intel: See how many competitors

... foundational rather than an add-on, my strong belief is that true AI-First design should fundamentally be about subtraction, not addition. The goal should be a significantly simpler, more intuitive user experience than a non-AI alternative. Based on my experience, here are some principles I focus on for genuinely AI-native products: * Automation for Simplicity: AI's power should be used to abstract away underlying complexity. It should take raw data, complicated processes, etc., and deliver a clear ... ... grapple with manually. The product should deliver the result, the insight, or the recommended action directly, rather than requiring the user to navigate complexity to find it. If integrating AI requires users to learn more steps or adds layers

... directly into your design workspace. With one click on a design layer, developers and designers can view the exact API endpoint that powers that screen. No more tab switching. No more Where s the API for this again? Key Features Layer

... been self-hosting tools like Cal, Supabase, Formbricks, and Plane and got tired of wiring everything together across separate repos, envs, and dashboards. So we built onestack.cloud , an orchestration layer written in Elixir, running on a single VPS. There s a managed version live now (Hetzner) but we re about to open source the project so others can self-host with infra as code baked in. The goal for the OSS version is: A single codebase with a central config ... ... manage your whole stack One click deploys (via Docker Compose for now) A management layer