... everyone Sharing Velo Workspaces here, a native Mac app I built on Apple's own Virtualization.framework (not a QEMU wrapper) for running disposable Linux and macOS VMs on Apple Silicon. Two things I think set it apart: Disposable

... does signal still need my phone number? honestly wondering why disposable browser chat rooms arent the default for privacy yet. even with signal you need a sim card, telegram keeps logs, and everything is tied to google or apple stores anyway so you are never actually anonymous. browser crypto is solid enough now to do real end to end encryption without accounts, phone numbers or installs, just nuke everything when the tab closes. is it just that nobody can monetize ...

... controlled boundary. Isolated Previews & Execution: Let AI agents install dependencies, run build commands, and generate live previews without touching your primary infrastructure or breaking production. Human-in-the-Loop Safeguards: Let AI test and iterate freely in disposable sandboxes, but keep live production releases behind explicit human approval gates. I'm currently building this in public as a solo founder, actively tackling the hard engineering problems around optimizing build times, package caching, and preview environments for AI workflows. Check ...

... messaging, an internal note runs free, anything that goes out publicly in my name gets a gate even if the content is trivial. So the verb decides which axis matters, then the specific conditions on that axis decide autonomous versus gated. Splitting verbs finer than that has not been worth it for me yet, the risk clusters around destination and audience more than amount alone. Comment from Arnold Oshenye(@oshylabs): I run a lot of agent actions daily across several ... ... same action can have very different risk depending on context. Refund is one verb, but $5 to a known customer and $50K to a new destination are obviously not the same decision. Same with sending a message internally versus

... perceived as completely normal (at least for me). As equal human work. How do you view things generated by artificial intelligence? Maybe it's true that who is behind the output and prompting also influences the result (professional vs. amateur). But it clashes a bit with the fact that: if we do things with AI, why do we demand less money for the output? (We perceive it as cheap.) Comment from Lisa(@yelyzaveta_kibets): @busmark_w_nika Haha ok that ... ... have seen both sides of the spectrum, very high quality AI work and very sloppy AI generated work. It all depends on the user/creator. Comment from Samran Elahi(@samran_elahi): Honestly, I think it is less about AI vs

... times. Comment from James N.(@james_prenuer): Same experience. What fixed it for me was moving the app's memory out of the chat and into the repo. Every project gets its own folder on my desktop, opened in VS Code with Claude Code. In that folder I keep a file with the decisions - brand elements, structure, naming conventions, why certain things were built the way they were. Claude updates it as we go, and I point it back ... ... Thirty changes later, the graveyard. What helps regardless of tool: one small change per request, name the exact file or component, snapshot before every change so a bad one is a revert and do your heavy iteration on a disposable

... tool announces it's "spawning an explore agent", goes quiet for a minute, and comes back with a tidy two-sentence answer. The feature usually gets explained as teamwork, which hides the useful part. The clone is a disposable context window. Your agent's memory is finite and expensive everything it reads stays in its working memory and gets re-billed on every turn after. So instead of reading 60 files into its own head, it forks a copy ...

... worker. For UI testing, a remote headed browser is not just a convenience. It changes the debugging loop. Instead of asking "what did the script think happened?", you can ask "what did the user actually see?" ### Harness Code vs Local Agent Harness Another important decision is where the agent capability should come from. One option is to build the entire reasoning layer yourself: call an LLM API directly, manage prompts, retries, tool calls, screenshots, JSON parsing, and safety rules. That ... ... gives maximum control, but it also means the test harness becomes an AI platform project. The alternative

... until the unnecessary text contains the exact line needed to apply a patch or until a nicely summarized tool output gets passed into a shell pipeline expecting the original format. I ve started thinking about context in three categories: Disposable context Repeated search results, duplicated docs, verbose logs. Usually safe to filter or compress. Load-bearing context Tracebacks, file paths, exact values, patch anchors and acceptance criteria. Losing a few tokens can break the task. Executable context JSON, shell output ... ... patches, CSV or anything another program will consume. This often needs to remain byte-for-byte intact. The important part is that these aren t permanent labels. The same search output might begin as disposable

... built 1000songs to combat streaming fatigue and algorithmic overload. In an era of endless, disposable playlists, this project sets a strict human constraint: exactly 10 tracks per year, spanning a century of music from 1930 to 2030. Inspired by late-night radio discovery, it lets you journey through music history. You can dial into the analog-style Radio Time Machine, generate a personal playlist starting from your birth year, or create and save your own offline 10-tracks-a-year ...

... something online, sign up for a free trial, or subscribe to a service, I'm expected to reuse the same debit or credit card. That never felt right. So I'm building Sitra. The first version focuses on disposable virtual cards. The idea is simple: Create a virtual card in seconds. Set a spending limit. Choose when it expires. Automatically discard it after use. Instead of exposing one card everywhere, every purchase can have its own card. Long term ... ... would genuinely love feedback from people who shop online, use subscriptions, or have ever wished they had more control over their payments. Website: https://joinsitra.vercel.app I'd especially love to know: - Is this a problem you've experienced? - Would disposable

... Product Hunt community! I m the maker behind LoveLetterly . As a software engineer who spent years building complex IT systems, I ve watched our digital world become incredibly fast, noisy, and transactional. We send dozens of double-taps and disposable instant messages every day, but somehow, the warmth of real human expression gets lost in the clutter. I built LoveLetterly to be a quiet sanctuary. It is designed for moments that deserve more than just a quick text message. Here ...

... good balance: enough time for real users to notice and confirm, but not long enough to bloat your user table with dead entries. We also keep soft-deleted rows with a reason tag ("email_confirmation_failed", "disposable_email", etc.), which helps us spot patterns and avoid re-adding the same bad signups later. For detection, we use a simple combo: Disposable

... building in almost the exact same lane with FounderFlow. Curious how you're handling the "which business needs me right now" problem specifically, that's the part I've found hardest to get an agent to judge well, versus just executing tasks it's told to. Comment from Stephen Aitken(@s8ken): Launching SONATE by https://yseeku.com It's time this project left the basement and had some real human eyeballs on it. Comment from Vishal Bhargava(@vishal_bhargava8): Associum ... ... just launched Graft on PH! Turn company operations into a living map for agents https://www.producthunt.com/prod... Comment from Moris Khoudari(@moris_khoudari): I launched Utilitly.com . It's a more affordable, cooler looking, more secure, and faster alternative

... model to fit that user's intent . This is a genuine inversion of how you think about the web. The page is no longer the unit of content. The answer is, and the UI is generated as a disposable wrapper around it 4. Personal Intelligence connects Gmail, Photos, and Calendar If users grant permission, Google's AI can now access data from Gmail, Photos, and Calendar to provide answers based on personal context . For example, instead of typing "clothing suggestions ... ... factual, structured, and authoritative enough to be cited inside those generated experiences. 3. Your brand's entity footprint now matters across personalized contexts. The same search for "accounting software" will yield different results for a solo founder versus

... 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

... actually read them, which a 200 line doc never managed. so here's where i've landed: Vibe coding's quiet win for non-engineers isn't "anyone can build an app." it's that building something small and disposable stopped costing anything. the floor just dropped. curious where everyone else is at? what's the most useful thing you've vibe coded that wasn't a product? Comment from Fotso Tobou Achille(@achille82): @nathan_tran2 Hey Nathan! Thanks ... ... reach for me. Then I started using Replit Agent and everything shifted. I built things I never thought I could: a diagnostic tool for electrical installations, interactive checklists, calculation sheets that actually look good. Not products. Just useful, disposable

... Kahana-operated services when you chat (see our assistant and cloud data doc). IndexedDB is where  your thread list and messages live on this device  so you can browse and resume without treating the browser like a disposable tab. Doc:  https://kahana.io/docs/chat-hist... Related:  https://kahana.io/docs/chat-hist... Cloud vs

... minutes The back-and-forth is where the magic happens. I'm not writing specs or PRs. I'm literally chatting like I would with a coworker: The favicon should be circular on the profile page. Block signups from disposable email domains. What Surprised Me Speed Features that would take freelancers days were getting shipped in 10 15 minutes. In one afternoon, I added: IP-based rate limiting Disposable

... always in touch with the product teams or devops :) Comment from Imed Radhouani(@imed_radhouani): @justin_ram  That is a radical approach. Most teams are afraid to throw away code. You treat it as disposable. The technical debt cliff becomes irrelevant because you never let the debt accumulate past one iteration. The key insight is that the plan survives. The code does not. You extract the structure, the lessons, the principles from the last repo. Then you rebuild from ... ... spent 6 months paying for shortcuts you took in the first 6 weeks. The cost breakdown is not about the money. It is about the lost features you never got to build. The customers you never acquired. The competitors

... Brotherstock. The reason is simple. Reviews have become one of the least trustworthy signals in the app ecosystem. They can be purchased in bulk from services that sell hundreds of five-star ratings overnight. They can be faked with disposable accounts. Competitors

... Clean & Verify Your Email Lists Instantly With MailClean Remove invalid, disposable, and risky emails from your lists. Boost deliverability and protect your sender reputation. https://globyn.com/mailclean/ ...

... everyone, I'm Dishant developer of @FCE - Temporary and disposable email I built it because most disposable

... When we launched Starnus our competitors were charging $100+/month. So we thought let's undercut them. Start at $20. Make it a no brainer. Signups were great. Payments? Almost zero. Here's what actually changed our MRR: 1. Cheap pricing kills trust At $20 people treated the product like a free tool. Sign up, poke around, leave. No urgency. No commitment. We raised to $49 starter and $184 pro and more people started paying. Not less. Higher price = higher ... ... what they pay for. Free users browse; paying users commit. That alone can change activation, retention, overall product value perception more than people expect. Comment from Nah Na(@nah_na): Yeah, we re facing the same headaches with disposable

... everyone! I ve been experimenting with ways to reduce fake signups and bot accounts in SaaS apps. Some approaches that have worked for me include: Detecting disposable or temporary emails Identifying VoIP or invalid phone numbers Checking IP reputation and datacenter usage Assigning a risk score to new signups to help prioritize real users I recently built a simple API to experiment with these techniques and would love feedback from other devs if you re curious. https://rapidapi.com/ghost-produ... ...