In Parallel

Our new MCP is live on Product Hunt today. 🚀 The itch we're scratching: the meeting where you decided the thing, the follow-up where you re-decided it, the deck explaining it, the status update about the deck. Somewhere in there, actual work happened — usually at 10pm. In Parallel sits underneath your tools. It joins every meeting, captures what was actually decided, and keeps the plan alive without anyone babysitting it. All of this context is something you can use in your favourite AI tool seamlessly, finally. If you've ever lost a decision between the room and the roadmap - or want to do something good during your summer break ☀️ , we'd love your upvote — and even more, your honest take in the comments: 👉 https://lnkd.in/ejPEzsn8 Every upvote today genuinely moves the needle. Thank you 🙏

Every conversation with customers has shaped what we've built. Today we're excited to put it in front of the Product Hunt community and hear what people think 🚀

At what point does founder-led sales become founder-limited sales? Every founder should be the first person selling their product. Nobody understands the customer, the problem, or the vision better. But as companies grow, the founder's role changes. One insight from our latest conversation with Jason🔥 Barnaby captures that transition well: "I can spend 8–12 hours a week... and achieve more than a CEO trying to run sales." Not because founders can't sell, but because as organizations scale, the CEO's attention shifts from closing deals to building the company. That's also where we see the coordination tax emerge. Scaling isn't just about handing work to someone else—it's about making sure people continue operating with the same understanding as the business becomes more complex. Where do you think that transition happens? ↓ Link to the full conversation with Jason in the comments.

Last week our team launched the first episode of The Coordination Tax where James Fielding joined us to talk about vulnerability as a strength. About standing in front of a team and saying "I don't know." About the truth tellers already sitting inside every organization who've never been enabled to speak. About Disney giving him time — real time — to do the Disney Store turnaround the right way, and why that kind of trust is what most leaders never get. In this episode, he walks through: → The airplane hangar prototype and 350 tours behind the Disney Store turnaround → Why "we've always done it that way" and "we tried it before" quietly kill learning → How to build an organization where truth actually reaches the top → The lesson every leader eventually learns — that leading is about the environment, not the answers Jim spent his career turning around iconic brands — Disney Stores, Claire's, DreamWorks Animation, and 20th Century Fox. "The best leaders aren't the smartest people in the room. It's actually the room itself — if you create the environment for others to thrive in." #leadership #business #podcast

In sales conversations, the same moment keeps coming up. A team has Claude running. Someone asks: "What are the top risks going into the board meeting?" Without context: "I'd recommend reviewing your project status and preparing a risk register." With In Parallel: "Three risks: API dependency (high — no mitigation, Tomas), auth unresolved (medium — plan due Friday), scope change not communicated (low — Sari, EOD Thursday). Highest urgency: API, no owner assigned." That is the moment they name the MCP as the decisive integration hook. Plans. Decisions. Risks. Learnings. Consumable from the AI they already use – without opening In Parallel. 29 tools. OAuth-secured. Live now. Setup here https://lnkd.in/dc2j9JdP

Just over a third of people treat deadlines as real commitments. Not because they don't care. Because no system captured the commitment, no system tracked it, and no system noticed when it went stale. The accountability gap isn't a culture problem. It's an infrastructure problem. Commitments are made in meetings. They need to live somewhere after the meeting ends. https://lnkd.in/dkskBpBS

Most AI conversations are still organised around the wrong axis. Which model is best? Which writes the cleanest code? Which is cheapest per million tokens? Twelve months of customer conversations later, the model has quietly become the swappable part. "We'll use Claude for now" sits next to "and move when Bedrock undercuts it." The model is becoming a commodity. The value is moving to the layer that decides what the model knows. There are two kinds of AI assistants in 2026. The kind that reads a few integrations and guesses fluently. And the kind that is grounded in the company's actual reality — the causal thread between meetings, decisions, risks, and outcomes. The first is fluent. The second is right. This week, we published the In Parallel MCP. Open standard, OAuth-protected per our workspaces, Claude-ready, live in the registries. Same model, same prompt; your AI assistant on top of it answers from what is actually live today, not from what it could piece together on demand at the last minute. The 10× is not in more data. It is an order of magnitude improvement in relevance. If you have wondered where AI earns its keep in operations and delivery work — not chat, but the real coordination tax of running a company — that is the demo we would like to give you.

Every executive briefing is built from last week's data. The steering committee is on Friday. The pack went out on Thursday. It was assembled on Wednesday from data pulled on Tuesday. By Friday morning, three things have changed. Nobody updated the pack. This isn't a discipline failure. It's a systems failure. The briefing was always going to be out of date — because no infrastructure exists to keep it current. We wrote about the briefing nobody writes — and what it would take to generate it automatically. https://lnkd.in/dcAX7i3w

🚀 The #1 AI Conference is coming to Europe! I'm excited to be attending and diving into the latest breakthroughs, insights, and real-world applications of AI. If you're passionate about innovation and the future of tech, this is the place to be. 🤝 Join me there — let's connect, learn, and explore what's next for AI together. https://lnkd.in/ddFxDnMi #HumanX