frontrun
@frontrunvc
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leveraging social signals for daily deal flow
the front
Joined January 2026
You no longer need Claude Code to build prediction market strategies. Horizon CLI just dropped. Research. Build. Deploy agent swarms. One prompt.
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Deploy a swarm of quants, now in Horizon Deploy multiple agents that go into the market and search and track opportunities. They do the full cycle automatic: Research - Hypothesis - Coding - Backtest - Robustness - Deployment - Retirement All controlled by a central fund hub.
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give claude code a full prediction market trading engine. live feeds. order management. kelly sizing. logit-space greeks. monte carlo. breeden-litzenberger. all callable from chat. pip install horizon-sdk[mcp]
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I can deploy trading bots on prediction markets in seconds Describe your strategy in plain English. AI writes the code. One click to deploy. Here's Horizon:
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Create polymarket bots in seconds we just built the trading infrastructure layer for prediction markets. > Rust-powered core > Monte Carlo, HMM, ... > live feeds: Binance, Chainlink,... > MCP and OpenClaw support > @Kalshi and @Polymarket support Market making in a few lines:
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I just shipped an open source version of Prism > Use any model from @AnthropicAI, @xai or @Kimi_Moonshot > Compatible with @typstapp > Proof reading, summaries and reverse search > Use locally, no data collected > Inline edits > Pulls from Arxiv (Adding more) Still work in
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His research: https://t.co/ZSqvv9AUfV here's the X trail of what he's been shipping
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On the founder - @TheCreatorAbove funded his first company at 19 trading high-volatility small-cap biotech stocks during the pandemic. Built a cubesat in sophomore year. Worked at Amazon and Salesforce on data pipelines and ML. Built and sold a synthetic data company through
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And it's not just prediction markets (@Polymarket, @Kalshi, @trylimitless) @AlpacaHQ and @RobinhoodApp integrations for stock trading are already live. This is agentic trading infrastructure across asset classes.
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They shipped Horizon - infrastructure that lets an LLM operate a prediction market fund end-to-end. Autonomous execution layer between the LLM and trading tools. Fund management, risk controls, persistent memory, decision governance. 180+ MCP tools. A full SDK built
mathematicalcompany.mintlify.app
The prediction market trading SDK. Rust core, Python interface. Build, backtest, and deploy strategies across Polymarket and Kalshi.
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@frontrunvc flagged @mathematicalco on Feb 27th. In a sea of prediction market AI slop on the timeline, @TheCreatorAbove has quietly been shipping one thing after another. Thread on why this one stands out 👇
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@frontrunvc first flagged @liminalcash on Feb 27th - nearly 3 weeks before this launch. 3 tracked accounts followed before anyone was paying attention. Global saving, spending, investing in one app. US stocks + fractional trading from anywhere. Congrats on the launch
Excited to announce stock trading is now live on Liminal. 250+ US equities. Apple, Nvidia, Tesla, and more. Fractional shares from $1. 20¢ per trade. Worldwide. Your global account just got a whole lot more powerful.
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TRENDING: @frontrunvc flagged @totalistrading on Feb 10th - over a month before it started trending today. We detected a tracked account following founder @ImTheBigP before the company account had any attention. Derivative layer for prediction markets. Custom parlays.
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the top HIP-3 builders by revenue are known. here's the next wave accounts are quietly following: Frontends: @try_supercexy - "CEX but fully onchain," @Snakeheadxyz - trade from X @miracletrade - trading frontend across dexes @get_truenorth - ai trading terminal on HL
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new @frontrunvc brand visuals. been running through a few design tools lately @reve is the latest addition. pretty impressed. which would you go with?
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shipped a new feed feature for @frontrunvc curated startup discovery feed - powered by X signals discovery -> due diligence -> finding & DMing the founder, all in under a minute stop doom scrolling & collapse your deal flow into seconds.
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this is why @frontrunvc has dedicated ecosystem tracking across chains like @opentensor track the entire bittensor ecosystem - funds, researchers, subnet builders - from one place the next @tplr_ai is already being followed by someone in here.
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