Ricardo Andrés Wolter Lizana
Founder · 1 product on SaaS Hive
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"Why 4 agents instead of one"
One week until Nixplora launches. I want to explain why the architecture looks the way it does.Most validation tools are a single black box: you describe your idea, and they return a score. The problem isn't the score — it's that you don't know which parts of the answer are facts and which parts the model just made up.We learned this the hard way building in Latin America, where bad market assumptions have real consequences. So we split the problem into 4 separate agents, each accountable for a different kind of reasoning:🔭 Scout — Searches for real market signals: search trends, forum conversations, recent regulations, competitor movements. Every data point has a traceable source. No generalisations.⚒️ Forge — Takes those signals and generates 3 versions of your idea at different investment levels. Not one answer — the full spectrum of possibilities given your constraints.✓ Validate — Cross-references your idea against our database of 199 documented startup failures. It looks for failure patterns before you leave them.🗺️ Map — Builds your financial model with Monte Carlo simulation: not a single optimistic curve, but the real range of outcomes based on your assumptions.The final output labels every claim: [FACT] has a verifiable source. [INFERENCE] is logical deduction. [HYPOTHESIS] is an unconfirmed assumption.Why does this matter globally, not just in LATAM?Because an AI that can't distinguish between what it knows and what it's guessing is doing you a disservice — regardless of what market you're in.Launching Tuesday, April 28. Free plan available from day one.
introducing myself
Hi everyone.My name is Ricardo, or Richi for my friends. I live in Chile.I founded Nixplora because validating a business idea in Latin America has always been more difficult than it should be. The available analytics platforms are designed for Anglo-Saxon markets. They ignore the real costs of operating in Chile, Mexico, Colombia, or Peru. They provide generic answers where the local context is everything. Nixplora is the answer to that problem. It's a SaaS Decision Intelligence platform that connects real-time market signals with localised analysis for 20 Latin American countries. Through a pipeline of four AI agents—Scout, Forge, Validate, and Map—entrepreneurs go from an idea to an actionable analysis in minutes: with real unit economics, Business Plans with Monte Carlo simulation, and a unique epistemic labelling system that distinguishes verified data from inferences and hypotheses. It's not just another chatbot that tells you what you want to hear.It's a layer of intelligence that tells you what you need to know to make a decision.Working at the intersection of strategy and technology taught me that the best business decisions stem from well-structured evidence, not unsupported intuition.Nixplora is currently in closed beta. It will be available soon.If you're building something in Latin America and want early access → www.nixplora.com
Why I built this in Latin America?
Hey Product Hunt 👋I'm Ricardo or Richi for my friends, and I'm launching Nixplora next Tuesday, April 28.Here's the honest version of why I built it.Most startup validation tools were designed in Silicon Valley, for Silicon Valley. They assume you have access to clean market data, that your benchmarks come from the US, and that your competitive landscape looks like TechCrunch. That works great if you're building in San Francisco.It doesn't work if you're building in Santiago, Bogotá, or Mexico City — where market data is fragmented, currency fluctuates, regulation changes faster, and the cost of getting it wrong is much higher because there's less capital to absorb the mistake.So I built Nixplora there. In the hard market. That constraint forced us to build something more rigorous than what you get from a generic AI tool.Here's what Nixplora does:→ 4 specialized AI agents in sequence: Scout (real market signals) → Forge (3 versions of your idea at different investment levels) → Validate (cross-referenced against 199 documented startup failures) → Map (financial projections with Monte Carlo simulation)→ Localized for 20+ Latin American markets — local currency, local competitors, local regulatory context→ Epistemic labeling: every claim in the output is tagged as [FACT], [INFERENCE], or [HYPOTHESIS]. You always know what's verified and what's an assumption.What's coming next:US, Canada, and UK market data are currently in beta. If you're building outside LATAM and want early access, drop a comment — I'm actively expanding the dataset.What's the hardest part of validating a startup idea in your market? I'm reading every reply before launch day.