... Whenever I travel abroad, I can usually get by with English. In the rare cases when I visit countries where very few people speak English, I can still manage with a translation app. And now, AI can even translate conversations in real time. I only learn foreign languages these days to fill my free time (if I have any left). Just a year ago, I wanted to build a language-learning app myself. But the market seems to be dominated ... ... commit, the test still passed because the assertion was testing something else entirely. It took learning the actual syntax to see the agent had just fooled its own validator. Comment from Yash Panpaliya(@yashpanpaliya): @the_nimesh  That function versus

... seen daylight since 2024. And the best advice for week one? "Just shadow our top rep and take notes." So new hires spend weeks piecing puzzle context together before they actually feel ready to talk to buyers. And whenever they hit a wall, a senior rep gets pulled in to bail them out. If you ve ever trained a sales rep (or been the new hire): What s the one crucial thing a new rep needs to know that ... ... your points might seem basic at first glance, but without mastering the fundamentals, nothing else will work anyway. The biggest unwritten gap is usually understanding the buyer's day-to-day pain. What actually pushes customers to buy versus

... partner always thought we d just talk things through whenever big decisions came up. But when we hit our first huge disagreement it completely stalled our progress for weeks. It turns out agreeing on everything in the easy early days is dangerous if you haven't assigned who gets the final vote in specific areas like product vs

... Product Hunt! We launched ChatRecall.dev last week to stop AI context from evaporating between sessions. Since then, we ve realised the chat logs themselves hold the exact architectural blueprint developers and teams are constantly losing. Whenever an agent builds software, it makes dozens of micro-decisions and cuts corners ("we'll fix this later") that immediately get lost once the prompt session ends. Today, we re restructuring ChatRecall around two major upgrades: Decisions and Autonomous Tasks . 1. Persistent Architectural Decisions ... ... Auto-Extracted: As you and your team chat with AI, ChatRecall automatically extracts architectural choices, rejected alternatives

... Apple's own support pages. Apple In-App Purchase: 26%, or 15% if you're in the Small Business Program, the Mini Apps or Video Partner Programs, or on an auto-renewable subscription after the subscriber's first year. Alternative payment processing inside your app: 20%, or 10% for those same groups. Out-of-app offers with an actionable link: a 15% store services commission, or 10% for those groups, on anything bought within 7 days of the tap. Apps ... ... distributed outside the App Store entirely - an alternative

... scientific computing) 52.6% Fable 5: 24.7% Opus 5: 29.0% Context window 1,000,000 tokens hold a whole codebase at once Max output 128,000 tokens a full build in one pass Prompt-cache reads up to 75% cheaper vs. standard input Agentic workloads up to 45% cheaper end to end Source: Anthropic, Fable 5.1 launch (September 1, 2026). Benchmark figures as reported by Anthropic. Translated for the three worlds above: a million-token window means it can hold ... ... your picker Fable 5.1 is live in the Happycapy model picker now next to Fable 5, Opus 5, Grok 4.6, DeepSeek V4, GPT and Gemini. One subscription, no API keys, and you can switch to it mid-task whenever

... directory that connects buyers and sellers who want to trade cars and real estate directly using crypto (USDT, USDC, BTC, ETH), completely skipping the traditional bank cash-out step. Why? Because traditional banks keep freezing accounts and flagging users whenever they try to cash out large crypto gains to buy something real in the US. Solum acts as a simple classifieds board no wallet connection required (0 phishing/scam risks), no smart contracts, no fees. Just a pure directory where ...

... free tier, so you can test your workflow before paying anyone anything. Pick a brain.  The model picker sits in every conversation. If you don't have an opinion yet, start with the default and switch mid-task whenever you like. Connect your first tool  in Settings Connectors the one your old workflow leaned on hardest. Notion and GitHub take about a minute each through their own official sign-in. Your computer connects with one pasted command. Then ... ... always was: in the accounts and on the hardware you own. An agent should be replaceable. Your work should not be deletable. The water's warm. Take your time   happycapy.ai Conclusion:  Happycapy is a direct Manus alternative

... list is a mess. I run a small 5-person team doing marketing and reporting for a few client accounts. Half our stack is stuff I actually found on PH over the years, some free, some paid, picked up whenever something looked useful at the time and never really reviewed since. Went through it recently and found we're paying for at least 2 tools nobody's touched in months, tools I remember being excited about on their launch ... ... everything you've signed up for from PH launches? Do you just wait until something breaks or gets annoying enough? Or something else entirely? What's the ONE thing that convinces you: "yeah, this is worth paying for" versus

... improve something in the process (mostly to speed up the process). But whenever I see and suspect that something is generated by LLMs, I feel that the person on the other side has slopped it a bit (and subconsciously I perceive it as "something less"). I have to say that some outputs that look really high quality and I have trouble distinguishing them from "handwork" are perceived as completely normal (at least for me). As equal human work ... ... view things generated by artificial intelligence? Maybe it's true that who is behind the output and prompting also influences the result (professional vs

... been building products with AI for a while, and I kept running into the same problem. Whenever I had a startup idea, I could ask an AI: "Is this a good business?" And it would give me a surprisingly convincing answer. Market opportunity. Potential customers. Competitors

... information to make a good decision. For example, imagine AI says: "Small agencies are likely to pay $299/month for this product." That's not really a fact. It's an assumption. And it should be treated differently from: "This competitor currently charges $299/month." That is something you can actually check. So I've been testing a simple habit: Whenever

... developers and people running local AI. Most online tools either track you or send your data to a server just to format JSON or check if a model fits on your GPU. That bothered me, so I started building alternatives that run in the browser whenever

... Whenever I launched something in the past, hardly anyone knew about it. Looking back, it was mostly because I was afraid to talk about what I was building. Fortunately, I've grown out of that. These days I talk about my product much more (maybe even more than I should ), and it's made a huge difference in getting it noticed. I wanted to share a few things that worked surprisingly well for my Chrome extension (a LinkedIn activity tracker ... ... warm intro or a mention from someone whose audience already trusts them does, even if it's a much smaller number of eyeballs. the annoying part is it doesn't scale on a schedule, it comes in bursts whenever

... Have you made a research on whether something similar was launched here? So the chance to be featured will be higher. Comment from Nika(@busmark_w_nika): @victor_perdiguer  For how long have you been building the tool vs how long did you prepare for the Product Hunt launch? Comment from Nika(@busmark_w_nika): @new_user___26020267b63ea4605738cbb  I would recommend to add more images into the launch :) Comment from Nika(@busmark_w_nika): @nikunj_kothiya ... ... Sunday is 39.7%, on Tuesday 8.6%. But product of the week is won on weekdays, so depends what you are after. On hunters, since @rhea_diamante asked. Launches with a hunter who has 10+ hunts average 235 upvotes vs

... only refactor if I'm already touching that code for a real feature reason, never as a standalone cleanup pass. Curious if other people have a clearer line than that, or if you just let the agent refactor opportunistically whenever it offers. Comment from Hossein Yazdi(@hosseinyazdi): I follow a similar rule. If the code is stable, tested, and not slowing down development, I'd rather leave it alone. I usually refactor only when I'm already modifying that part ... ... about what good code looks like. But just as with human teammates, you have to accept some compromises with AI agents. One thing I ve found useful is instructing the agent to add new rules to its own instructions whenever

... feedback from your team as well as from AI. Our AI has watched thousands of hours of video across several different categories, and it gives you the best feedback for whatever your stated goal is. It notifies you whenever new comments land on your video, and it lets you share with an unlimited number of people. You can leave rich feedback too: draw on the frame, drop a pin on the exact spot you mean, or select a range ... ... being able to draw on the frame and select timeline rangesgives it that premium feel without the heavy price tag. Quick question: how does the AI handle different video pacing or retention hooks depending on the platform like YouTube vs

... cloud LLM and let it generate the entire text from scratch for me. I would then copy-paste the output without a second thought. It felt like peak efficiency. But a few months ago, I noticed something alarming. Whenever I had to write an urgent message from my phone without an AI tab open, I started to hesitate. My active vocabulary felt rusty, and I realized I was losing my writing confidence. It brought me to a harsh truth ... ... making us fluent in copy-paste, not in language. The "Pilot" vs

... Staff" and explain the architecture. It fell flat. What actually landed was naming the specific mess: running a software company, a care home, and a cafe at once, and never being sure which one actually needed me that day versus which one was just being loud. Once people recognized that feeling, the product made sense on its own. So I'd say the demo's job isn't to sell the problem, it's to prove you understood it correctly ... ... trying to solve are: Getting attention in an overcrowded marketing environment Increasing customer engagement instead of just generating impressions Encouraging repeat visits Making promotions more memorable Generating word-of-mouth and referrals Giving small businesses an affordable alternative

... looking for it. Would love your honest take on AI Hive whenever you get a chance, no rush at all. Comment from Nolan Vu(@nolan_vu): @danielboardman  Thanks a lot Daniel, really appreciate you saying that. Wishing you a smooth launch next week, cold-start products are always the trickiest to demo but usually the ones that stick longest. Take your time checking out AI Hive whenever

... ideas, analyze, plan and execute fast Google Meets: For Meetings Cursor: To automate every new test case whenever the platform codebase is active. QAlaunch: Quickly test any website for Basic Usability UI UX Issues Comment from Tim Joerg(@tim_joerg): Top 5: Visual Studio (backend), Visual Studio Code (frontend), Google (research / documentation), pgAdmin (would be great to have a better, more simple alternative

... started, users open AI Mode and enter a natural-language prompt. For example, "keep me updated on nearby movie tickets for The Mandalorian and Grogu." From that point, the agent runs autonomously, monitoring the web and sending push notifications whenever it finds something worth flagging . The breadth of use cases points to an ambition that goes well beyond what Google Alerts ever attempted: tracking stock earnings, flight prices, live sports, housing markets, job trends, and breaking news . Google's vice ... ... 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

... substantive column right next to coverage, on the same denominator so the gap is impossible to miss. It uses exactly the crude signals you named: whether the reply carries a link or a number, and its length versus a bare "thanks!". When a maker answered the questions but mostly with one-liners, the card calls that out directly instead of letting the green number hide it. The one line I deliberately won't cross: claiming a question was actually resolved ... ... layer based on this thread's feedback. Here's a first pass every card maps to what you all requested: Launches by category Votes by category Comment-to-vote ratios Hunter activity Historical trends Plus auto-insights (movers vs

... becomes a real, reusable building block instead of something everyone re-types. AI context now flows from groups You can give a group its own AI context, and it now flows into chat, chart-editing, and automation agents whenever a member of that group is interacting. If different teams think about your data differently engineering 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