Building second brain for you product

Finally live 🔥
Just dropped the launch video for Scriptonia.dev 🔥 Messy idea → full production-ready PRD + architecture + dev tickets in 30 sec. No more writing docs for hours. Watch this 👇
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rate this hero section out 10 😅
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Did i finally cracked Reddit
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The most tasteful residency in the WORLD is coming back. Culture alumni are now funded by Colosseum, The residency, Google, etc. 28 Days 11 builders 1 Villa in the heart of Bangalore All ending in a demo day with the top VCs and TIs in town We have mentors from accelerators like YC and a16z. And so much more. Rs. 30, 000 per cracked resident. 5 spots remaining, DM if you think you're a good (culture) fit haha. location - koramangala
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when an agent makes a bad decision, who is responsible?
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How to be a psysopath. Without being the psycopath.
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please stop it bro 😭 @whoburnedmore
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Building a brain for your product for making your plan efficient as possible
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Idea in the shower → talk to a customer → log it in Obsidian.  Those are the three best things you can do as a product builder. In that order.   The problem is:    - The shower idea gets forgotten by lunch.    - The customer conversation lives in a Slack thread nobody reads.    - The Obsidian note sits alone, disconnected from your actual product plan.  So the next feature sprint starts from scratch. Every time.  I built Scriptonia to close that loop.  Here's how it works:   1. Shower thought hits → throw it into Scriptonia (or any channel voice, Slack, DM)   2. Customer says something useful → feed it the transcript   3. You append your Obsidian research → it merges context   Scriptonia's agents take all three inputs customer signal, your intuition, your research and produce a structured plan. Feature scope, approach, what to launch first, what to defer. You keep the judgment. The agents do the grinding. No more "what was the reasoning behind that decision?" No more "who talked to the customer about this?" No more vague tickets that take 3 meetings to clarify. Product management for humans + agents. Try it free at scriptonia.dev
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Most product teams don't have a documentation problem. They have a memory problem. Every quarter, teams create: • PRDs • Meeting notes • Research docs • Roadmap presentations Yet six weeks later, nobody can answer questions like: • Why did we prioritize this problem? • What trade-offs did we accept? • Which assumptions were we testing? • What alternatives did we reject? The documents still exist. The reasoning doesn't. That's because notes and memory are not the same thing. - Notes are snapshots. - Memory is a system. - Notes capture what happened. Memory preserves why it happened. Notes live in folders. Memory connects decisions to outcomes. Notes become stale. Memory compounds. When a new PM joins, they shouldn't have to schedule five meetings to understand a feature. They should be able to see: • Why the objective existed • Which options were considered • What risks were accepted • How the decision connected to company strategy Without that context, teams repeat discussions, revisit old decisions, and prioritize based on who speaks the loudest. With it, teams move faster because the context already exists. And AI becomes genuinely useful. Not because it can summarize documents. Because it can reason over a structured history of decisions. This is the idea behind Scriptonia. Not another place to write notes. A product memory layer that preserves context, decisions, assumptions, and trade-offs across the entire lifecycle of a product. A simple test: If your team disappeared tomorrow, could a new team reconstruct why your product looks the way it does without calling you? Most teams can't. That's not a documentation issue. It's a memory issue. Where do you feel this most today? Roadmap changes? Handoffs? Or trying to understand a decision from six months ago?
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This are the only thing that you team need to write effective PRD - Intent: "Reduce churn 12% by re-activating dormant users within 7 days" - Constraints: "Must work with existing Firebase setup, 2-week sprint, avoid email fatigue" - Evidence: "3 churn surveys + support ticket pattern showing users forget we exist" - Team context: "Engineer lead prefers async reviews, designer needs 3 days for flows"
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Junior PM: "Should we build this?" Senior PM: "What would have to be true for this to be worth building?" One question separates roadmap theater from real strategy. 3-question filter built into Scriptonia: - What outcome, not what feature? - What evidence changes my mind? - What am I NOT building to fund this? Can't answer in 2 sentences each? You don't have a decision. You have a hope. Free trial → scriptonia.dev/try or steal the questions. They work anywhere.
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Quick poll for PMs: Last AI-generated spec you shared with engineers — what happened?
0% They approved it with min
50% Asked 5+ clarifying quest
0% Straight up ignored it an
50% I stopped sharing AI spec
2 votes • Final results
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User requests are things that people want not things that people have to do. When people who are new to being project managers hear that someone wants a feature they just write it down.. People who have been project managers for a while do something different first. They ask themselves a couple of questions, about the feature. What goal will this feature help us achieve?. What would make us think that this feature is not a good idea? Most teams do not think about features in this way. That is why they end up with many features to work on and their plans do not work out. User requests and features are important to think about carefully.
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90%+ of AI-generated PRDs get rejected by engineers. Because your context layer is broken. I studied 200+ senior PM outputs. Here's the exact pattern that flips it 🧵
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I'm building Scriptonia as the context OS for PMs who are done with ambiguity theater. Turn messy Slack / voice notes / stakeholder chaos into production-ready PRDs, architecture docs & Linear tickets. Free for serious PMs building real products.
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Drop a 🔥 below if you've had an AI-generated spec rejected this month.
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