#Mirofish

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#Mirofish Reel by @nicholas.puru (verified account) - Comment "FISH" if you want my newsletter where we break down how to use tools like this step by step to grow your business and I'll send it to you
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@nicholas.puru
Comment “FISH” if you want my newsletter where we break down how to use tools like this step by step to grow your business and I’ll send it to you 📩 MiroFish creates thousands of fake people inside a simulation — each with their own personality, opinions, and memory — then lets them argue and make decisions together. Instead of guessing if your next campaign or pricing change will work, you type in your question and it simulates hundreds of AI people who debate it like real humans. One guy used this to run a prediction market bot and made over $4,000 in profit. It’s free, open-source, and you don’t need to code anything. Just ask it a question and let the simulation run. #AItools #AIprediction #artificialintelligence #aiforbusiness #mirofish
#Mirofish Reel by @hasantoxr (verified account) - MiroFish is a free, open-source swarm intelligence engine that simulates thousands of AI agents with unique personalities and memories to predict how
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@hasantoxr
MiroFish is a free, open-source swarm intelligence engine that simulates thousands of AI agents with unique personalities and memories to predict how people will react to any news, document, or event before it happens. Upload a press release, policy draft, or earnings report and MiroFish builds a knowledge graph, generates hundreds of agents, and runs a full social simulation in real time. Used for PR crisis testing, trading sentiment signals, policy analysis, and prediction market betting. Originally built in Chinese, an English offline version is now available. #aiagents #langchain #ai #artificialintelligence #ainews
#Mirofish Reel by @sebintel (verified account) - Comment "Fish" and I'll send you the step-by-step guide. Simulate real-world reactions with MiroFish by testing ideas using AI personas to predict out
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@sebintel
Comment “Fish” and I’ll send you the step-by-step guide. Simulate real-world reactions with MiroFish by testing ideas using AI personas to predict outcomes before decisions. #MiroFish #AIPersonas #AISimulation #aitools #PredictiveAI #aiworkflow #BusinessAI #AIInsights
#Mirofish Reel by @mavenhq (verified account) - MiroFish is a multi-agent swarm built to predict the future. It's actually much simpler to build a system like this than you might expect. You can l
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@mavenhq
MiroFish is a multi-agent swarm built to predict the future. It’s actually much simpler to build a system like this than you might expect. You can learn the basics of multi -agent architecture in just a couple hours. #ai #agenticai #maven #mirofish
#Mirofish Reel by @parasmadan.in (verified account) - Agents can now behave like Humans 🧑‍💻 #mirofish #aiagents
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@parasmadan.in
Agents can now behave like Humans 🧑‍💻 #mirofish #aiagents
#Mirofish Reel by @futuristic.ai.guy - MiroFish creates thousands of fake people inside a simulation - each with their own personality, opinions, and memory - then lets them argue and make
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@futuristic.ai.guy
MiroFish creates thousands of fake people inside a simulation — each with their own personality, opinions, and memory — then lets them argue and make decisions together. Instead of guessing if your next campaign or pricing change will work, you type in your question and it simulates hundreds of AI people who debate it like real humans.
#Mirofish Reel by @keshavsuki (verified account) - Comment "fish" for both links and the setup guide 👇 This GitHub repo simulates the entire internet's reaction before you hit post. It is called Mir
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@keshavsuki
Comment “fish” for both links and the setup guide 👇 This GitHub repo simulates the entire internet’s reaction before you hit post. It is called Mirofish. Upload any document. A press release. A policy draft. An earnings report. A tweet. It builds a knowledge graph, spins up 1,000 AI agents with real personalities, and simulates their social media reactions in real time. Posts, arguments, opinion shifts. Hour by hour. PR crisis testing. Dolce and Gabbana posted one ad in China without testing it. Lost hundreds of thousands of followers overnight. Trading signals. Hedge funds pay millions for sentiment analysis. This does it for free. Policy analysis. Governments get blindsided by public backlash. This simulates it before the announcement. Prediction markets. A French trader made 85 million dollars on Polymarket predicting an election better than every poll. Two versions. Original runs on cloud APIs. The offline fork runs entirely on your machine with Ollama and Neo4j. No API keys needed. The guide shows you how to set it up entirely from Claude Code. Open source. Free on GitHub. Comment “fish” for both links and the setup guide👇
#Mirofish Reel by @yury.ai (verified account) - Comment «FISH» and I'll send you the link. 🐟 A student built an AI that simulates the future - and released it completely free. It's called Mirofis
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@yury.ai
Comment «FISH» and I’ll send you the link. 🐟 A student built an AI that simulates the future — and released it completely free. It’s called Mirofish. One week on GitHub: 33,000 stars, #1 global trending. Funding raised: $4.1M in under 24 hours. How it works: You feed it a news article, a financial signal, or a policy draft. It builds a parallel digital world. Thousands of AI agents — each with their own personality, memory, and behavior — start interacting inside it. You see how society reacts before it happens. The whole project was built in 10 days using Claude Code. By one student. As a thesis project. For e-commerce this is a real edge. Simulate audience reaction to a launch, a price change, or a competitor move — before you commit. Not guessing. Actual scenario modeling. This is what the AI era looks like now. #ai #aitools #ecommerce #futureofai artificialintelligence
#Mirofish Reel by @brahada_irl - MiroFish is an open-source AI simulation engine built around the concept of multi-agent systems and swarm intelligence. Instead of relying on a single
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@brahada_irl
MiroFish is an open-source AI simulation engine built around the concept of multi-agent systems and swarm intelligence. Instead of relying on a single AI model to generate predictions, it creates a large number of independent AI agents, each with its own memory, personality, and decision-making logic. These agents interact within a simulated environment, forming a “digital world” that evolves over time. By feeding it real-world inputs such as news, policies, or datasets, MiroFish can model complex systems like social behavior, market reactions, or narrative outcomes. This approach makes it powerful for scenario testing and forecasting, as it focuses on emergent behavior rather than static predictions. MiroFish Offline (Local Version) MiroFish Offline is a modified version of the original system that runs completely on a local machine without relying on external APIs or cloud services. It replaces online dependencies with local tools such as Ollama for running language models and Neo4j for managing knowledge graphs. This allows users to maintain full control over their data, making it ideal for privacy-sensitive applications or environments with limited internet access. While the offline version offers independence and flexibility, it also requires more computational resources, especially when simulating large numbers of agents. It is particularly useful for developers and researchers who want to experiment, customize, and run simulations in a fully self-contained setup.
#Mirofish Reel by @felix_ved - MiroFish got $4M funding within 24 hours. 33k GitHub stars. Powered by OASIS from CAMEL-AI, GraphRAG, and Zep Cloud. The offline fork runs fully local
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@felix_ved
MiroFish got $4M funding within 24 hours. 33k GitHub stars. Powered by OASIS from CAMEL-AI, GraphRAG, and Zep Cloud. The offline fork runs fully local with Neo4j + Ollama. #opensource #aiagents #aiengineering #aitools
#Mirofish Reel by @abienrix - MiroFish creates thousands of fake people inside a simulation each with their own personality, opinions, and memory - then lets them argue and make de
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@abienrix
MiroFish creates thousands of fake people inside a simulation each with their own personality, opinions, and memory - then lets them argue and make decisions together. Instead of guessing if your next campaign or pricing change will work, you type in your question and it simulates hundreds of Al people who debate it like real humans. One guy used this to run a prediction market bot and made over $4,000 in profit. It's free, open-source, and you don't need to code anything. Just ask it a question and let the simulation run. Comment "idea" for link [AI agents, startup idea, free AI tool, open source AI, AI simulation, idea validation, build in public, startup growth, AI for founders, free startup tool ,Mirofish, Miro, MiroAi] #Altools #Alprediction #artificialintelligence....
#Mirofish Reel by @saadjamil.17 - CREDIT GOES TO @Dreyk0o0 on x I spent a few days studying the MiroFish swarm-intelligence engine Then I tried to build my own version for Polymarke
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@saadjamil.17
CREDIT GOES TO @Dreyk0o0 on x I spent a few days studying the MiroFish swarm-intelligence engine Then I tried to build my own version for Polymarket. The results were insane. Instead of predicting prices, the engine simulates how people react to events. Core idea: Prediction markets don’t move on math alone. They move on behavior. So I built a multi-agent simulation. Each agent has memory, bias, and strategy. Core components: Swarm agents 168 agents / 6 clusters / 700+ links Belief update model Pₜ₊₁ = f(Pₜ, news, sentiment, liquidity) Consensus probability P_swarm = Σ wᵢ Pᵢ Market edge EV = P_swarm − P_market Monte-Carlo validation 10,000 simulations per event Network clustering detects narrative shifts before price moves The system simulates: • voters • media • donors • traders • pollsters • momentum bots • narrative spread Each agent updates beliefs → cluster reaches consensus → swarm outputs probability. If swarm probability ≠ market price → trade Current dashboard: 1,250 active agents 100,000+ interactions 3,800 graph nodes 240 simulation rounds Top prediction engine: Polymarket price: 20% Swarm probability: 27.3% Alpha edge: +7.3% Win rate: 67% Sharpe: 8+ Max DD: <2% This changed how we can see prediction markets. It’s not trading. It’s modeling reality.

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