Razn
Solve hard problems like the top 1%.
For top problem-solvers and decision-makers: turn a hard question into an issue tree, checkable numbers and a defensible recommendation.
Built by Razn · Artificial Intelligence · Productivity · Analytics · Paid
In category: #1970 of 1986 · Artificial Intelligence
Razn is a Community listing on Launch Llama with 0 total upvotes, founded by Razn who joined in Oct 2026, compared against 6 alternatives.
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Razn (Joined Oct 2026)
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Launched on Launch Llama Oct 26, 2026 · #64 of 111 that day
About
Now free during beta — no card needed.
Razn is a workspace for top problem-solvers and decision-makers who have to turn an ambiguous question into a decision. Describe the problem, however rough, and Razn pins down what is really being decided, then breaks it into an editable issue tree with a hypothesis and a test for every branch. Quant cards size each driver with named assumptions and bear, base and bull scenarios, so every number traces back to something you can check. When the logic holds, Razn writes it up as a document and an answer-first deck you can export to PowerPoint or PDF. An AI team covering research, analysis, numbers and storyline works in parallel, explains what it assumed, and stops for your approval after every step. You choose the model per role (Claude, GPT, Gemini or Grok) using the plan or API key you already have. Built by the Razn team. Paid plan: USD 15 per month.
Key Features
- Break any problem into an editable issue tree
- Size drivers with transparent bear, base and bull math
- Export an answer-first deck to PowerPoint or PDF
Use Cases
- Turning a hard pricing decision into an issue tree with checkable numbers and a defensible recommendation
- Diagnosing why a metric dropped, structured as hypotheses with named drivers and bear/base/bull scenarios
- Screening an expansion, market entry, or build-vs-buy decision and exporting the answer as a Pyramid-ordered deck
Who it is for
- Founders and operators working through strategic decisions
- Investors screening investments and building memos
- Managers preparing board and leadership memos
Pricing
Free during beta. No credit card. Bring your own AI model access (Claude/ChatGPT plan or API key), billed by that provider.
FAQ
Is Razn free?
Yes. Razn is free during beta: create an account and every feature is unlocked, no card needed. The AI models run on access you connect yourself, which your provider bills at their own prices.
Do I need my own AI model access?
Yes. Razn runs on model access you connect in Settings: a Claude Pro or Max plan, a ChatGPT Plus, Pro or Team plan, or API keys from Anthropic, OpenAI, Google, xAI, DeepSeek, Moonshot or OpenRouter. Your provider bills that usage directly, at their prices.
Which models can I use?
Claude, GPT (including Codex), Gemini and Grok, plus DeepSeek, Kimi and anything on OpenRouter. Set a default, then pick a different model for each role on the team if you like, for example one model for research and another for the numbers.
What can the agents read and change?
Agents read research sources (papers and web pages) and the notes, documents and context you give them. They only write to Razn artifacts in your workspace: issue trees, documents, quant cards and decks. They don't send email, post anywhere or change anything outside Razn.
Where does my data go?
Your workspace lives in Razn. When an agent works on a step, the relevant content is sent to the model provider you chose, under your own plan or key, so that provider's data terms apply to it.
What can I export?
Decks export to PowerPoint (PPTX) and PDF. Documents export to Word. When you generate a deck from a brief, Razn can also produce an Excel model and a Word annex alongside it.
Is there a Mac app? What about Windows?
Yes: a universal Mac app for Apple silicon and Intel, with the ⌥⇧R quick-capture shortcut, menu-bar case status and step notifications. On Windows and Linux, Razn runs in the browser.
Who is Razn for?
Anyone who has to turn a hard, ambiguous question into a decision they can defend: founders, operators, investors and managers. Typical uses: pricing decisions, why a metric dropped, whether to expand, launch or enter a market, cost-cutting priorities, investment and build-vs-buy screening, and board or leadership memos.
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