technologist • building products @amplemarket, prev @decipad @subvisual

Joined November 2015
24 Photos and videos
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Mar 27
Fun idea from @bennstancil — That productivity gains from AI come from making work fun. "What is AI for if not to make us productive? But that's not the only way you can describe it. Because there could be another half to the story: That AI makes the actual work actually fun"
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PRDs are dead, specs and docs are dead.. Build real prototypes instead.. But, have we talked about how clean and efficient it is to just use AI to prototype in ASCII these days? ❤️
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Note: I don't really buy the argument that docs, specs or whatever we want to call them are dead. If anything, they just became even more important.
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More tools for the robots
Run outbound in Claude and ChatGPT with Amplemarket 👉 dub.sh/blog-mcp
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The future is bright
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Don’t fight the laws of gravity of your space!
Building a new feature? Follow João Pena's advice to make sure you won't build a Formula 1 only Hamilton can drive 🏎️ #Craftmatters2025
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João Pena retweeted
A massive thank you to everyone who attended Craftmatters 2025 and made it a day to remember! 💫 To the speakers who accepted our invitation and went on stage to share their wisdom and perspectives — we couldn’t be more grateful: @JooCamarate1, @joaompena, @HenrM_Cruz, @FabioMartins87, Marília Moita, @emanuelsa, @carvil_ , @dscape 👏 We left the room feeling inspired, challenged, and more connected to the craft than ever, and we hope you did too. Craftmatters was a first for us, but definitely not the last. Until next time — let’s keep raising the bar, together. ✨ #Craftmatters2025
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João Pena retweeted
What happens when you stop building features and start building intelligence into your product? @joaompena, Senior Product Manager at @amplemarket, is helping reshape how modern go-to-market teams work by shipping AI-native products that don’t just assist users, but accelerate them. From prompt engineering to onboarding flows that write themselves, João brings a hybrid mindset rooted in product, design, and engineering. 🧠 At 𝐂𝐫𝐚𝐟𝐭𝐦𝐚𝐭𝐭𝐞𝐫𝐬 2025, he'll lead the masterclass “𝐈𝐧𝐬𝐢𝐝𝐞 𝐀𝐦𝐩𝐥𝐞𝐦𝐚𝐫𝐤𝐞𝐭 𝐃𝐮𝐨: 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐚 𝐏𝐢𝐨𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐀𝐈‑𝐃𝐫𝐢𝐯𝐞𝐧 𝐏𝐫𝐨𝐝𝐮𝐜𝐭”. If you’re building with (or around) AI and want to hear from someone in the trenches — this is your session. 📍 Join us at Craftmatters 2025 → bit.ly/Craftmatters_2025 🎟️ Tickets going fast!
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João Pena retweeted
10 Apr 2025
This is such a brilliant and succinct explanation of unsupervised learning

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João Pena retweeted
People talk about how AI is going to make design obsolete, and/or make pixel perfect designs not be a thing anymore. I don't think so. Pixel-perfect design mostly existed in designers’ minds anyway. The mocks might perfect but the final product rarely was. Most of the time, those designs were shipped sloppily because the product organization didn’t have the patience to see the polish through. How many truly pixel-perfect products do you see out there?Especially with growth focused companies. There are exceptions, but not many. The idea that AI might ruin visual quality feels like a non-issue since wasn’t much quality to ruin in the first place. I also don't believe AI makes design obsolete but I believe it will raise the floor. That it’ll lift the skill level of product teams, and I hope it will free up time for the kind of polish that usually gets cut. So ideally we continue see more overall better design and the more "handcrafted" polished designs as well. My general view of AI is that it will just let us do more things, not take away things. We didn't stop writing less when email was invented. Few aspects: 1. AI as a skill multiplier. LLMs can elevate frontend and design quality for companies that historically couldn’t hire strong talent—or for individuals who haven’t built those muscles yet. In a way that way, it’s not that different from using UI kits, Tailwind, or shadcn. 2. Rethinking design systems. Design systems were a product of the ZIRP era, when teams scaled quickly and you couldn’t trust every person to design and build a decent button. So systems enforced quality through components and rules. But AI flip can this, and Instead of assembling rigid blocks, you can quickly build good scaffolding and refine with AI or by hand. LLMs might even enforce standards even better than design systems because they could be trained to spot inconsistencies and fix visual bugs automatically. The kinds of things that usually get deprioritized. 3. Designing closer to code. I think AI will allow us to design more in code. I think it’s a good thing if we move away from pixel-perfect Figma files. The way I’ve always designed: Figma is where you design the vibe. Code is where you make it perfect. The real product is the one in production, not the mock. So that’s where polish should happen. Future design tools should make that process easier. 4. Taste still matters. For teams that already care about design, teams like @linear, none of this really changes the hard part. Achieving a polished UI is not that hard if you just have the practice. The hard part is conceptual. It’s figuring out how features fit together, how ideas map across the system. That’s where most of the iteration happens. That’s the part AI still can’t do for you. So yes, AI will make things faster. It will increase the volume of output, but maybe it will also shift the baseline. Holistic quality still depends on taste, systems thinking, and the willingness to care about the final experience.
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João Pena retweeted
27 Feb 2025

26 Feb 2025
Introducing: AI Extensions (Beta) A new way to interact with your extensions in Raycast.
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10 Jun 2024
A Siri style tool one could easily plug into their own website or app (think as easy as plugging an Intercom helpcenter) to help users complete any arbitrary action would be a damn good product
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17 Jun 2024
Get ready product teams: we’ll soon be all prompt-describing our app’s functions so that other LLM systems can interact with them
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27 Feb 2025

26 Feb 2025
Introducing: AI Extensions (Beta) A new way to interact with your extensions in Raycast.
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14 Jan 2025
> infinitely complex input space, well-defined output space Good mental model for when to apply natural language AI helpers/builders.
14 Jan 2025
the ui for @openai's new tasks feature is really disappointing! it's the exact sort of ui that ai should replace (e.g. infinitely complex input space, well-defined output space)
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30 Dec 2024
This is the way
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João Pena retweeted
Every detail counts on the @Amplemarket website.
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25 Oct 2024
The death of generic onboarding templates. Fun to think about how — for some use cases — much heavy lifting we’ll be able to do with LLMs for users in terms of onboarding them with content that they can use to get started right away.
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25 Oct 2024
This is our latest at Amplemarket. Generating competitor suggestions from the get go so that we can start giving you leads interacting with them from day 1!
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11 Sep 2024
Big big day for @amplemarket today. We’re at @saastr launching a new brand and our newest product Duo, a true end-to-end copilot for sales teams. Ping us if you’re around and want to see a demo or just nerd out about AI products :)
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João Pena retweeted
Amplemarket is hiring! Our next designer will have complete autonomy and will join the team currently revamping our brand and product, aiming to become a reference in the industry 🫡 read.cv/teams/amplemarket/se…

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João Pena retweeted
20 Jun 2024
People don’t want AI for AI’s sake. No one wants to chat with their expense report; they want their expense report to do itself. When you need help, you won't have to read an FAQ, the product will show you how to use it (or just take the action for you) x.com/tryramp/status/1792659…

19 Jun 2024
The next big AI product won’t call it AI. AI is just how it’ll work, an implementation detail like CPU instructions.
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