... Because the stuff in your mind is extremely rambling. Okay, we ve got this, I thought. We dove into creating something that could structure the rambling in your head into something you could actually send. We called this Project Flow. We were essentially building this as the operating system for the hardware device. But that didn t fix bigger issues with the hardware there was no consumer market for it. Around this time, I saw the Humane AI Pin launch ... ... their default input. It didn t matter how good the hardware was if the software wasn t ready. Luckily, we realized we had already been building two companies in parallel: one for the Wispr hardware and one for Flow

... thinking our leave-a-review flow (you all are leaving lots of reviews, including founder reviews!) and I wonder if anyone has review flows

... sure what goes where User Pool? Identity Pool? Environment variables?" The Solution (After State) With this kit, you ll go from Where do I even start? to Done and live! in under an hour. A complete, working authentication flow in minutes, not days. A step-by-step guide that walks you through every single configuration, with screenshots for every key click. A copy-and-paste codebase that just works, saving you hours of debugging and frustration. Why This ... ... doing it myself and struggled I know the pain. That s why I built this kit to save you from: Hours of digging through AWS and TikTok docs Silent errors in Cognito config that are hard to debug OAuth flows

... Here s the story behind a small detail in the @Flowtica Scribe 's charging case. You don't often see "rapid iteration" with hardware, but the core principle of obsessing over the little things is universal. A simple realization sparked this feature: since the Flowtica

... working with helloWorld.js" and Flow now automatically tags the right files in Cursor and Windsurf . No more hunting through your file tree or breaking your flow

... shift from planning the future to designing the present. I discovered that the only real control we have is the choice of where to direct our energy today. It's an existential choice. not just going with the flow, but consciously rowing toward your values, even when you can't see the shore. Comment from Holden Lewis(@cholden_lewis): @adi_singh5 Asterapp.ai ! It s a multi-LLM AI planning agent and assistant. Focused more on helping people plan around daily ...

... amazing early testers into Datastripes over the past few weeks and honestly? The feedback has been a lot! For example, we saw people are using Datastripes in ways we didn t fully expect: Quick dashboards for internal reports Exploratory flows for understanding messy datasets Automated processes for recurring tasks Even sharing live dashboards with clients or investors But what s been even more valuable than how they use it is what they ask next: Can I get suggestions for which ... ... chart to use? Could this flow

... main flavors: IDE-based, like @Cursor and @GitHub Copilot, and terminal-based setups, like using @Claude Code to generate commands, scripts, or entire files. Both have their fans, but which one actually helps you move faster? Curious what flow people are sticking with long term, and where you see the most gains (or frustrations). Comment from Dmytro Tomniuk(@dmytrotomniuk): @rajiv_ayyangar  IDE helps you with surgical precision at the line level. It perfects the mechanics of coding syntax, autocompletion ... ... refactoring a single function freeing you from the mental load of remembering details so you can stay in flow

... using one right now to write this very post (you'll have to wait till the end to see which one I'm using ) The two main products I've used in this space are @Aqua Voice and @Wispr Flow . From talking to others, these are the two that I typically hear people mention using. In general, I hear a lot more people talk about using Wispr Flow

... your tools, you re staring at a ghost town. Data that s outdated, disconnected, and 100% unusable. At Datastripes , we believe: a system not integrated is a system already dead. That s why we built ready-to-go, preconfigured flows that connect with the business platforms you actually use every day, no SQL, no scripts, no waiting for the data team. Here are a few examples we re excited to roll out: SuiteCRM Sales Pipeline Overview Get a bird ... ... engagement by country or region. Perfect for geo-targeting, expansion strategies, and localized campaigns. SAP Sales Order Analysis Pro Enterprise-ready. Dig into sales order timelines, customer trends, fulfillment delays, and more, straight from SAP data structures. All these flows

... Datastripes started as my university thesis. I was always frustrated with dashboards, not because they re ugly, but because they force you to stare at numbers without meaning. So I built a tool that turns data analysis into a flow, made of visual nodes and natural language outputs. Just drop your node or file (Excel for example) and see what comes out! Users who churned this week mostly came from paid channels. Returning users were more active than new ones ... ... product teams, marketers, or really anyone who wants quick, plain-English insights from data without asking a data analyst every time. Built from a thesis now a real tool to turn raw data into readable insights, using a visual flow

... scripting, complex BI stacks), or Too shallow (one-off AI answers you can t rerun, audit, or share properly). Teams bounce between bloated dashboards no one opens and disposable insights that disappear. We wanted something that thinks in flows reusable, visual, narrative. What Datastripes does Datastripes lets you build analysis flows

... Imagine this: you have an Excel table , a CSV, or any data file. Instead of wrestling with complex software or writing code, you simply drop your file into DataStripes . Our smart engine instantly generates a powerful, visual data analysis flow , revealing immediate insights and patterns. It's truly data magic, simplified! And if you want something more innovative? Instant Flow

... Builders I'm Stanley, a Product Designer who's spent the last few years designing in fintech: from merchant dashboards and payout flows to API tools for developers. I ve worked on products used by thousands of businesses, most recently building a platform that lets companies create multi-currency bank accounts and send money globally with just a few API calls. But honestly? What I love most is turning hard to use into how did this get so easy? Right ... ... exploring what it means to design trust into financial experiences, and how we can make tools feel empowering, not intimidating. Just Curious: What s the most confusing UX flow

... fast, visual, and actually insightful all without needing a 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 ... ... backend, server, or installation 300+ visual nodes from bar charts to UMAP, regressions, and advanced ML AI-generated insight comments live, per node, even offline Narration layer turn your data flows

... nodes for context retrieval Loop and Table nodes for iterative logic Code/Script nodes when you really need that unsafe-eval super-power Behind the scenes an MCP (Managed Connectivity Protocol) handles auth and rate-limits so the flow stays portable. UX principles we care about I ve been immersed in participatory AI research and UX drafts (the short version: keep users in control, surface reasoning, never surprise). Three heuristics now guide every Metaflow screen: Transparency over magic Show the chain ... ... altogether. Today, though, most teams are still racing to build end-to-end autonomy, while participative AI is only just being proven in dev-centric tools like Cursor. Metaflow s bet is that the Cursor-style, stay-in-flow

... called Datastripes , and it s my answer to: Why does working with data still feel like you need a degree in engineering? So, why in-browser ? Because if you want something alive, something you can actually see flowing, and something that s private and secure by design (everything runs locally), this is the way. But getting this to work client-side wasn t easy: Processing big data in memory without frying your laptop Building a modular compute graph with real ... ... usable for non-technical users, the hardest part Again, why? Because I believe people should be able to explore and understand their data, without needing a backend team or a technical manual. Because I wanted to see data flow

... Product Hunt! I m developing FlowSign and wanted to share what we ve been building, and get your honest feedback. Its a tool for tailored AI Contracts & E-Signatures today. What FlowSign

... radically rethink how we work. What worked brilliantly for a two-person team of jacks-of-all-trades-and-masters-of-none didn t scale. Now that we have specialists designers who like to deeply think through user flows, and engineers focused on clean architecture the quality of what we re shipping has leveled up dramatically. Our product no longer feels like a huge pile of features. But that also means our old ways of working don t work anymore ... ... easy to put together a few concept screens in Figma but great design goes beyond visuals. Designers need to imagine how the feature will actually be used in the real world, anticipate edge cases, and map out complete user flows

... days I was working at a toy company and I was their "Marketing Manager" (essentially their everything guy). One of my responsibilities was to test the toys we produce. What I remember was endless testing of electronics, voices, and flows, for a physical product that once was confirmed and entered production, there was no turning back. One mistake or oversight, and the product was totally ruined. So creating my apps now reminds me exactly those days. I spend more time ... ... testing flows

... This Change the Way We Build Flow-Based Systems? Wanderer is a new kind of flow

... excited to announce the launch of Migma Visual Editor a powerful new way to create and fine-tune your emails visually and intuitively. Whether you re building transactional messages, newsletters, or automated flows, our new Edit Mode puts full creative control in your hands, with live previews and pixel-perfect precision. Visual Edit: Design with Your Eyes Gone are the days of second-guessing how your email will render. With Visual Edit, you can now: Edit text, links, images instantly ... ... your workflow smoother: Understand structure at a glance: No more hunting through code Make quick visual edits: Avoid time-consuming test sends Refine with precision: Get the look you want, every time Whether you're iterating on a marketing flow

... Product Hunters I ve been working on a tool called Wanderer , and I d love your feedback before a full launch. It s a frontend-only, no-code builder for creating visual logic flows - think GPT-powered chatbots, decision trees, and interactive systems , all with fully transparent execution logic. No hidden code. Key features: Runs entirely in the browser - no signup, no server, fully privacy-friendly Graph-based logic builder with real-time chat interface Supports conditions, branching, GPT integrations ... ... custom API calls Shareable, forkable, and editable flows

... being a marketer feels like being a full-stack SaaS team, minus the team. You re writing emails in the morning, editing video demos by lunch, tweaking automation flows in the afternoon, and debugging a landing page at midnight because growth doesn t sleep. And apparently, neither should we. We told AI to make our jobs easier. AI replied : Cool now you do everything. Alone. But faster. Here s my daily juggling act: Messaging mayhem: Notion, Slack, Gmail, Google Docs ... ... mock that real quick? always means 3 hours Async pressure: Loom for updates I don t have time to record and even less time to watch Automation spaghetti: Zapier, Make, Notion forms, AirTable triggers my brain is now a flowchart

... Blockchain: TON, Jetton, Solidity, WalletConnect Infrastructure: Docker, PM2, Nginx on Ubuntu Integrations: Telegram Bots, OpenAI/GPT, TON Wallet APIs Core Features GameFi Engine Token mining, missions, referral tasks DAO voting, staking, NFT upgrades Telegram MiniApp compatibility Telegram Bot Suite Onboarding flows, trading alerts, in-game messaging Referral tracking and bonus systems Telegram-first UX for mobile crypto users Auto Payment Logic Real-time Jetton delivery via webhook or wallet monitoring Secure hot wallet setup with rate limiting and anti-abuse logic ... ... payouts, charts, and user management Crypto Trading Bot Framework JSON/script-based strategy definitions Real-time WebSocket trading engine (Binance, MEXC, Gate, OKX) SL/TP, drawdown limits, Telegram alerts +45% ROI in real-world strategy testing AI + Web3 GPT-based onboarding flows