gm legends, happy Wednesday.
Today: the five winners of OpenAI Day, plus the tool catching AI agents making product decisions nobody approved, the thing that finally wires up payments for your vibe-coded app, and a guitar app claiming it can keep up with your hands in real time.
gm legends, happy Tuesday.
Today: a way to check on a friend without asking if they're okay, a Windows menu bar Mac users have had for years, and a circuit-design tool built to solve one very specific plant problem. Plus the worst pitch deck advice founders keep getting.
gm legends. It’s Sunday.
This week, six alternatives to Slack, three new pieces of hardware, infinite endings to your favorite book series, and tons of joy from watching your AI agent make dumb mistakes. Plus, five of our favorite launches from the past week.
See how this newsletter ends, legend. Read on.
P.S. Launching soon? We’d love to hear about it → editorial@producthunt.co 🫶
gm legends. It’s Sunday.
This week, OpenAI is reportedly developing its first piece of hardware, five tools for creating landing pages, the one thing you should never ever let AI do, and how to keep your Mac from snoozing. Plus, five of our favorite launches from the past week.
Don’t sleep on this newsletter, legend. Products await.
P.S. Launching soon? We’d love to hear about it → editorial@producthunt.co 🫶
WELCOME Happy Tuesday, legends. Welcome back to another edition of The Frontier — our weekly newsletter covering the best new AI launches on Product Hunt. WHAT'S HOT 🕵️ OpenAI's own model hacked Hugging Face — Guardrails off, testing a cyber benchmark, the model found a zero-day and broke in for real. Happened July 11. OpenAI confessed July 21. 💸 Nvidia weighs a $250B guarantee for OpenAI's Ohio campus — Backing a 10-gigawatt data center SoftBank is building on a former uranium site. Full project cost: north of $500B. 🌐 Kimi K3's weights are free. Running them isn't. — Moonshot AI released the largest open-weight model ever, 2.8 trillion parameters, permissively licensed. You still need a data center to actually run it. 💾 Your next laptop costs more because of AI — DDR5 prices are up over 100% this year as manufacturers redirect memory supply toward AI data centers. ⚡ AMD and Cerebras are splitting inference in two — AMD's Helios racks handle the prompt, Cerebras' Wafer-Scale Engine handles token generation. Claimed 5x throughput per watt. Five AI tools you may have missed Heard — Give Claude Code and Codex a voice 98 • Productivity ▲ 352 Grok 4.5 — SpaceXAI's model for coding, agentic tasks & knowledge work 4 • Android ▲ 173 Viktor — An AI coworker that actually does the work 126 • Productivity Promoted ▲ 665 Health in ChatGPT — Your personal health companion, powered by ChatGPT 6 • Health & Fitness ▲ 154 Rivault — Approve AI agent data access with Face ID 28 • Productivity ▲ 111 MCP-Billing — OAuth 2.1 + usage-based Stripe billing for MCP servers 13 • API ▲ 119 Ad So we’re just… talking to software now? ElevenLabs has been the go-to for voice for a while. Now they've turned that expertise into agents that actually get things done. You set one up, it talks like a real person, listens, responds, and helps handle the task — support calls, bookings, whatever the job is. Not a demo, not a "press 1 for sales" situation. It's ready to deploy. Feels like one of those shifts where the interface quietly changes. Less typing, less clicking, more just saying what needs to happen and letting it play out. Try it today FROM THE FORUMS "Done" Is Not a Fact About Your Codebase terranicgerald (@terranicgerald) asked the forums for the smallest, dumbest thing that ever broke their trust in an AI agent mid-task, not the catastrophic failures, the small ones that quietly changed how people work. The replies converged on one shape: an agent reporting success with nothing behind it. Madison Brooks (@madison_brooks2) watched one silently delete a piece of logic while refactoring, everything still compiled, but an edge case vanished. Ella Reyes (@ella_reyes1) had one claim it "checked all relevant files" and skip the exact file she'd named in the prompt. Raj Nagulapalle (@rnagulapalle) stopped trusting any write operation that didn't hand back a receipt, after one came back clean with no error and simply hadn't happened. Asad M. (@asadmalik901) had the line that reframed the whole thread: "the trust did not actually break at the rename. What broke is the quiet assumption that 'done' is a claim about your codebase, when it is only ever a claim about the agent's own last step." Good thread if you've started reading an agent's "done" as something to verify instead of something to believe. Join the thread
WELCOME Happy Tuesday, legends. Welcome back to another edition of The Frontier — our weekly newsletter covering the best new AI launches on Product Hunt. Five AI tools you may have missed CreateOS Sandbox — Instant, hardware Isolated Sandboxes for AI agents 70 • SaaS ▲ 174 Jockey by TwelveLabs — The video AI agent that understands your whole library 28 • Productivity ▲ 194 Framer AI Agents — Design and publish professional sites with AI 28 • Design Tools Promoted ▲ 831 Diffsmith — Comment on your AI agent's code & collaborate on changes 25 • Developer Tools ▲ 99 Skim — Free, open-source AI email client for Windows 43 • Windows ▲ 151 Manifest — Turn any webpage into an action manifest for AI agents 83 • API ▲ 130 SPONSORED BY Type 4x Faster Are you really still typing? Full disclosure: Wispr Flow is the AI dictation tool most of us at Product Hunt use (we still have a few holdout typers, what romantics). Hold a key, talk, and clean text drops straight into whatever app you're already in — Slack, email, Notion, your IDE, wherever your cursor lives. No switching windows. No copy-paste ritual. Just say the thing – yes, you can whisper it – and even your most run-on sentences will be turned into polished writing at 4x the speed of typing. Start talking now WHAT'S HOT Kimi K3 Just Wiped $3.3 Trillion From Chip Stocks. Moonshot AI released Kimi K3 last Thursday. 2.8 trillion parameters, largest open-weight model ever announced. It scored above Claude Opus 4.8 and GPT-5.5 on benchmarks, on par with GPT-5.6 Sol. It also knocked $3.3 trillion off chip stocks, the second time a Chinese open-weight model has done that to markets in eighteen months. Investors are back to asking what $725 billion in AI infrastructure capex is actually buying. The weights aren't public yet. They drop July 27, six days from now. When they do, any developer with a GPU setup can run a model that currently benchmarks near the frontier for nothing. DeepSeek V4 is already at $0.87 per million output tokens. K3 costs $15 on the API right now. In six days both those numbers become the ceiling, not the floor. For people building products, the specific number that matters is K3 topping Arena's Frontend Code leaderboard. Code is the most commercially useful benchmark because it's what most products actually run on. If you're building something where the AI writes the code, you're about to have a free option that performs near the best paid one. The chip stock story and the open weights story are the same story. The argument for $725 billion in hardware spend was always that you need the chips to run the best models. K3 makes that harder to say. So does DeepSeek V4. So does whatever drops the week after. The commodity wall just moved again. See Kimi K3 on Product Hunt
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