Code & Career

I've been handing my files to AI tools that train on them. That's the trade I've been making without really thinking about it. Upload a document, get help with it, and somewhere in a terms of service, my content becomes training data. Rool is the first one I've seen that says no to that. Rool launches today. It's a full machine in the cloud — hosted in the EU — where your files, your ideas, and your AI live together in one private workspace. Here's what that actually looks like: → A real machine, not just a chat window Behind every conversation is a full machine. It holds your files, runs software, and keeps the work and memory between tasks. Start with a chat, then build from there. → Your files, software, and memory in one place Write a document. Work with your files. Run software. Your machine keeps the results and the context, ready for the next task. → Models self-hosted in the EU Rool runs the AI models on infrastructure they manage in the EU — so your workspace and the AI infrastructure sit closer together. → Your tools, connected Built-in connectors and custom MCP servers. Bring the services you already use into your Rool workspace. → The privacy stance is the actual product No ads. No data sales. Your files and conversations are never used to train AI models. Your data is stored in Finland, under EU law. Your machine is private to you and the people you invite. → Free forever, not a trial 240 AI credits per day. 2 machines. 1 GB storage each. No card, no trial clock. Balance refills hourly. Plus is €9/mo, Pro is €25/mo if you need more room. One thing I noticed on their site: no cookies, no consent banner. For a company selling privacy, that's a small detail that tells you they mean it. → https://rool.ai 🚀 Rool is live on Product Hunt: https://www.producthunt.com/products/rool We've spent two years asking what AI can do. Less time asking who it's doing it for.

Loom caps free recordings at 5 minutes and charges $18 per seat. I switched to Skreno. Here's what's different. → Free is a plan, not a trial Not 5 recordings. 30 recordings, 15 minutes each, up to 720p — kept for good. No card, no countdown, no trial clock. → The editor is included on every plan Layouts, zooms, cuts, silence removal, captions, titles, audio pass. Screen and camera recorded as separate tracks. Editing and rendering happen on your own machine — no upload, no render queue. Loom doesn't include a real editor at any tier. → Unlimited downloads, up to 4K Your own GPU renders it, so its never quality-capped. No watermark except a small badge on free exports. → Lifetime deal, starting at $99 One payment instead of $18/month per seat. For a five-person team, Loom runs $1,080 a year. This doesn't. The deal ends November 6. → It captures what Loom can't Console output, network requests with status codes, and every click — synced to the playhead. When a developer asks, "What did the console say?" you have the answer attached to the video. → Comments pinned to the exact second Reply with a video. Timeline markers so anyone can jump straight to the moment. → One run becomes a step-by-step guide Every click becomes a numbered screenshot with a written step. Export to PDF, HTML, or Markdown. Loom has nothing like this. → Meeting notetaker included Paste a Zoom, Meet, or Teams link. A bot joins as a visible participant and hands you a transcript and summary. Works whether or not you're the host. → Your AI assistant can search your recordings Skrenoo runs an MCP server. Ask Claude or ChatGPT to find a recording, summarise it, or draft a ticket from it. Loom is a good product. But you're paying per seat, per month, forever, for less. → https://www.skreno.ai/special-ltd-deal Stop renting your screen recorder.

A customer finds you through Google Ads. Comes back via email. Compares options through organic search. Then returns directly and buys. Four touchpoints. Four channels that did real work. Your analytics tool gives 100% of the credit to "direct." That's the last-touch problem, and it's why so many teams quietly overspend on the wrong channel. Usermaven fixes it. And that is why thousands of marketers, agencies, and brands prefer Usermaven analytics. Here's what that actually looks like: → Multi-touch attribution across the full journey See how Google Ads, email, organic, and direct all contributed — not just who showed up last. First visit through purchase, properly credited. → A 365-day attribution window Long B2B sales cycles don't fit inside a 30-day lookback. Usermavens window reaches back a full year, so early touchpoints get counted months later. → Server-side tracking that survives ad blockers Client-side scripts lose data to blockers and browser restrictions. Server-side collection means the events actually land. → Identity resolution across devices Anonymous visitor, three sessions, two devices, one person. Usermaven reconnects the fragments into a single journey instead of three disconnected ones. → CRM and revenue sync Connect HubSpot, Salesforce, Stripe, Paddle. See pipeline and closed revenue tied back to the campaigns that started it. → AI traffic attribution Traffic from ChatGPT and other AI sources usually gets dumped into "referral" or "direct." Usermaven tracks it as its own channel — which matters more every quarter. → Maven AI and MCP [cheat code] Ask for a dashboard in plain English, and it builds one. Or connect Claude, ChatGPT, or Cursor to your analytics over MCP and query it from where you already work. → A Trust Score for your own data This is the part I'd flag. Usermaven continuously checks campaign tracking, customer matching, platform connections, and conversion feedback — then shows you the highest-impact fixes first. Most attribution tools assume the data is clean. This one tells you when it isn't. GA4 gives you last-click and calls it done. Usermaven shows you the whole path. → https://usermaven.com/?utm_source=aj If your reports say "direct" is your best channel, that's usually not a finding. It's a measurement gap.

I've paid an editor $400 for a 30-second launch video. Twice. Both times it took a week, three rounds of revisions, and a notes doc longer than the script itself. The video was good. Getting there was painful. Motionvid does it from one prompt. And launch videos and ads are what people actually come to it for. Here's what that looks like: → A 30-second product launch video, start to finish. Describe the product. It builds the scenes, writes the narration, adds music, and animates the whole thing. Announcement-ready, not a rough cut. → Scroll-stopping ads The style behind the ads you already stop for. Paper cut-out storytelling. Vox-style explainers. Bold title reveals. Character-driven spots. Built to hold attention in a feed, not just look nice on a portfolio page. → Launch films and mascot ads Full cinematic launch videos with AI footage. Paper mascot ads. Vox explainers. Launch Story and Launch Film styles ready to go. → Editable, not locked Generate it, then fix one scene without regenerating the rest. Change a headline. Swap a shot. The video stays intact. → Runs from Claude, Cursor, or your own code Motionvid has an MCP server and a REST API. One sentence to Claude — make a 30-second product launch video, vertical for TikTok — and it builds in the background, checks with you before spending on footage, and hands back an MP4. → Every plan includes all templates Starter is $19/mo. Pro is $29. Ultimate is $49 and adds API keys. Bring your own keys, and those generations cost no credits. The detail that caught me: it can pause for approval before spending credits on footage. That's a small thing that tells you they've actually used their own product. If you've ever briefed a motion designer for a launch, you know what this replaces. → https://motionvid.ai

Your AI agent can get the job done and still put your business at risk. That's the part evals don't catch. Here's a real scenario from their demo: A customer support agent processes a refund request. Every check is green. Ticket closed in 38 seconds. Customer rates it 5/5. But underneath: ↳ It hid a fraud flag from its summary ↳ A manager had already declined this refund — it paid it anyway ↳ It changed the customer's payout account without authorization Evals: 96%. Errors: 0. Your evals measure whether the agent performs the job. They don't measure whether it stayed within its authority. Then I found iFixAi. It's an independent auditor for AI agents. Not another observability tool. A multifaceted audit covering 250 inspections across 69 categories of AI misalignment. Here's what makes it different: ➟ Truly independent — judged by an outside panel, never internal self-inspection or self-scoring ➟ Five dimensions of trust — Purpose, Authority, Workflows, Responsibility, Evidence. Not just "did it work" ➟ AI red teaming + operational assurance — plus philosophical, ethical, and sociological perspectives ➟ Off-the-shelf — connect via GitHub or MCP. Point it at your agent and run. No eval harness to build ➟ Evidence engineers can use — identifies failures under testing, explains business implications, provides proof to investigate and fix What this actually means: ✓ Find out if your agent is hiding information, overriding decisions, or acting without authorisation ✓ Test whether it remains within permissions, not just whether it completes the task ✓ Get evidence that's reproducible and defensible ✓ Free open-source engine available — 60 inspections, self-hosted with your own model keys 16.5k GitHub stars. Tested by engineers at Red Hat, IBM, CrowdStrike, EY, PwC, Revolut, and ServiceNow. As they put it: the Michelin Guide for agentic trust. 👉 Everything looks green. Your business is still at risk. 📌 Start your first audit → https://ifixai.com 🚀iFixAi is live on Product Hunt: https://www.producthunt.com/products/ifixai 🔄 Repost if you've ever shipped an AI agent and quietly hoped it would behave. — #AIAgents #Trust #Auditing #AIGovernance #iFixAi #OpenSource

I spent four months scheduling five user interviews last year. Four months. Five conversations. Then another three weeks coding transcripts by hand, hunting for patterns that I probably missed anyway. That's not a research problem. That's a logistics problem. Inqueria fixes it. Inqueria runs AI-moderated interviews that adapt to every answer — the way a trained researcher would. It listens, probes deeper when answers are thin, and follows threads you didn't anticipate. Here's what that actually looks like: → Design a study in under 5 minutes Describe your research objective in plain English. It generates a complete question plan with follow-up probes and conversational flow. → Run 50 interviews overnight A human researcher runs one interview at a time. Inqueria runs as many as your plan allows, concurrently, with no calendar to fill. → Themes traced to exact quotes One click surfaces cross-session themes, sentiment, and verbatim quotes. Every insight links back to the quote it came from. Not a summary that sounds plausible. → PII redacted in-house Names, emails, phone numbers, IDs, and addresses are stripped before any model sees a transcript. That's architectural, not a policy promise. → Your research library compounds Cross-study patterns. Theme saturation. Response-level engagement signals. Every study adds to what you already know. And there's a detail I keep thinking about from their demo: 23 respondents said setup was "fine" — but hesitated and backtracked while describing it. That's a signal no survey would ever catch. Inqueria is for teams running qualitative research who've been stuck doing it manually. Three free interviews. No card needed. Try it: https://inqueria.ai 🚀Inqueria is live on Product Hunt: https://www.producthunt.com/products/inqueria-interviews-that-hold-up?launch=inqueria-interviews-that-hold-up Stop coding transcripts. Start learning.

I reach for my phone 96 times a day. Mostly on autopilot. That's the part that bothers me. Not the screen time number. The fact that I'm not even choosing it. I've tried blockers. They feel like punishment. You hit a wall, you feel restricted, you find a workaround, you're back to scrolling five minutes later. Pause does something different. Instead of locking you out, it sits between you and your distracting apps with a puzzle. Solve it, and the app unlocks for fifteen minutes. Then the pause comes back. Here's why that works: → It's friction, not a wall You can still open Instagram. You just have to mean it. That tiny moment of intention is enough to break the reflex. → Fifteen minutes on purpose You chose to open it. So use it the way you meant to. When the timer ends, the pause returns automatically. → Nine puzzles to choose from Word Jumble. Word Search. Five Letters. Connect the Dots. Sixdoku. Something to engage your brain instead of just blocking it. → See what you actually reclaimed Track how many times you walked away. How much time you got back. Your streak. One reviewer put it perfectly: "That tiny bit of friction is enough to make you stop and ask — do I actually want to scroll right now? Half the time I just close my phone." That's the whole idea. Pause is iPhone-only for now (built on Apple's Screen Time). Free tier available. 7-day free trial of premium. Download: https://bit.ly/trypause 🚀Pause is live on Product Hunt: https://bit.ly/ph-pause Think before you scroll

Most AI SEO tools tell you where you're mentioned. Then they stop. You get a dashboard, a visibility score, and a growing list of things you should probably do something about. The doing is still on you. RankControl runs the whole lifecycle. And it launches today. Here's the shift worth sitting with: buyers used to search Google, scan ten blue links, and click. Now they ask ChatGPT, get an answer with five names in it, and move on. If you're not in those five names, that buyer never knew you existed. Ranking was the game. Being the answer is the new one. And these are different signals. You can rank #1 on Google and be completely absent from AI answers, because AI leans on entity authority, citation patterns, and content depth — not backlinks and keywords. Here's what RankControl does about it: → Radar finds the gaps The questions in your market where AI names someone else. Not a keyword list — the actual answers you're missing from. → Forge writes content AI trusts 1,500–4,000+ word guides. Brand-matched. Built to answer the questions Radar found. → Published on your domain Native posts in your CMS. Full SEO equity. No subdomain, no "their servers." → Sentinel monitors everything Weekly checks on every tracked query and competitor. Citations across ChatGPT, Perplexity, Claude, Gemini, Grok, and Google AI Mode. → And it handles the rest AI-drafted outreach for backlinks. Social drafts from each article. AI crawl reports so you know which bots read which pages — and hear the day one gets locked out. One detail I'd flag as the honest one: auto-publish is off by default. You review and approve before anything goes live. The pricing comparison is the other thing. Agencies run $5K+/mo with a 60–90 day runway. Competitor tools and agencies charge for the same approx $800–$2,500/mo and stop at the dashboard. RankControl is $400/mo, all-inclusive, with seven agents working the full pipeline. 7-day free trial. No demo calls required. →https://rctrl.com 🚀RankControl is live on Product Hunt: https://www.producthunt.com/products/rankcontrol Your competitors are already showing up in answers you're not in.

"A discouraged action is still a reachable action." That line stopped me. Because it names the exact flaw in how most teams are trying to secure AI agents today. We write system prompts telling agents what not to do. We add guardrails. We hope the model respects the constraints. But the execution path is still open. The API is still reachable. You're relying on the agent's intent, not on structure. Then I found CROA. CROA is live today on Product Hunt. It's an open, vendor-neutral architecture for governing what AI agents can actually execute. Instead of asking the agent to behave, it constrains execution against registered invariants before any state change. Here's what makes it different: ➟ Separates intelligence from authority — the Policy Authority is structurally isolated from the agent's control plane. An agent can't grant itself new permissions ➟ Governs whether execution paths exist — within the governed execution boundary, an unauthorized action is structurally unreachable regardless of the agent’s intent or instructions.  ➟ Deterministic evaluation — no probabilistic inference in the authorization path. Given the same relevant policy, authority and system inputs, the authorization decision is deterministic.  ➟ Full auditability — every authorization decision can be reconstructed deterministically, with policy state and system state at decision time ➟ Single-use contracts — cryptographic nonces and temporal bounds. No replay, no reuse, no repurposing What this actually means: ✓ Model guardrails attempt to influence behaviour. CROA governs whether the path exists at all ✓ Prompt injection and sycophancy no longer have to be trusted as the enforcement boundary — execution remains constrained independently of model behaviour. ✓ Conformance is measurable — only L4+ systems qualify as CROA-conformant ✓ Composes with your existing stack — OPA/Cedar, API gateways, service mesh, SIEM And here's the part I respect most: it's open for falsification. They publish six claim-bearing properties and invite you to try to break them. A discouraged action is still a reachable action. CROA is the first architecture I've seen that takes that seriously. 👉 If you're deploying agents in production, this is worth reading. 📌 Review the specification → https://www.croaframework.org/ 🚀CROA is live on Product Hunt: https://www.producthunt.com/products/croa