The strategy operating system for crypto-native traders. Describe your market instinct — we formalize, test, execute, and evolve it. Continuously.
Hyperliquid perpetuals · AI-native lifecycle management · Polymarket signal layer
CONFIDENTIAL · NOT FOR DISTRIBUTION
The problem
Degens have real alpha. They can't act on it.
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Crypto-native traders have genuine market intuition — funding rate patterns, liquidation setups, regime reads. Built from months of watching.
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Turning that intuition into a disciplined, backtested strategy requires coding skills most traders don't have — and don't want to learn.
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What's available: Pine Script (requires coding) · QuantConnect (requires Python + quant math) · 3Commas / Cryptohopper (no AI, no evaluation, no lifecycle).
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The result: good instincts, no infrastructure. Capital deployed on gut feel, no validation, no discipline, no compounding edge.
The gap nobody talks about
Every platform ends when you deploy.
Even platforms with AI strategy builders have a fundamental flaw: once you deploy, you're on your own.
✗ No system watches for strategy degradation
✗ No alert when your edge stops working
✗ No automated variant generation
✗ No honest public track record
✗ Survivorship bias baked into every leaderboard
Crypto markets change fast. A strategy that worked in a trending regime destroys capital in a mean-reverting one. Nobody tells you when that switch happens.
VibeStrat starts where others end.
The strategy monitors itself, detects degradation, proposes evolved variants, terminates losers, and promotes winners — automatically.
The solution
Your instinct. Systematized. Your edge. Compounding.
# A vibe becomes a live strategy in minutes "Long BTC when funding has been negative 3 days and OI ticks up" → AI formalizes conditions + sizing + risk rules → Walk-forward backtest across 6 regime types → Sharpe 1.8 · Max DD -9.2% · Overfitting score 0.21// PASS → Paper trades for 21 days · Promoted to live at 3x leverage
Product
Three ways in. One lifecycle out.
mode 01
Natural language
Type your thesis in plain English. The AI extracts entry/exit conditions, sizing, and risk rules — asking targeted clarifying questions. No forms. No config.
LLM-primary
mode 02
Visual builder
Drag-and-drop crypto-native condition blocks: funding rate, OI delta, liquidation heatmap, Polymarket signals. AI suggests complements and warns on conflicts.
structured
mode 03
Hybrid
Start with a vibe. AI drafts the spec. Refine parameters in the visual layer. Fork existing strategies and mutate them. The power-user path.
power user
The platform gets more valuable the longer you use it. Every lifecycle — born, evolved, terminated — feeds the next iteration.
The moat
The LLM is the interface. The engine is the product.
Evaluation engine
Walk-forward testing · regime analysis across 6 market types · overfitting detection · drawdown envelope. Every strategy earns its way to live capital. No shortcuts.
Real-world event probabilities — Fed policy, geopolitical risk, macro — as first-class strategy conditions. No other perp platform offers this.
The compounding moat
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Track record — every terminated strategy, every lifecycle event, accumulates publicly. Cannot be instantly copied by a competitor.
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Strategy gene pool — forked strategies create network effects. The best vibes evolve through community iteration.
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Evaluation data — every backtest result, every gate outcome, trains better evaluation heuristics over time.
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Historical learning — regime patterns identified from thousands of strategy lifecycles become proprietary signal intelligence.
Market opportunity
The market is here. The infrastructure isn't.
$26B
Polymarket Q1 2026 volume — 90% QoQ growth
$3T+
Daily crypto trading volume, majority unautomated at retail level
<1%
Of retail crypto traders have any systematic strategy infrastructure
24/7
Markets that never sleep — manual trading is structurally disadvantaged
Why Hyperliquid
Deep perp liquidity · on-chain settlement · builder-native community · CLOB architecture ideal for algorithmic strategies · fastest-growing decentralized derivatives venue.
Why now
LLMs have made natural language → structured logic viable. Prediction markets have matured into reliable macro signal sources. Retail traders are increasingly sophisticated but still infrastructure-poor.
Cryptohopper / 3Commas — zero-code but no AI formalization, no evaluation gate, no lifecycle. CEX-only. Template-based.
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QuantConnect / TradingView — powerful but require programming. No lifecycle automation. Primarily equities-focused.
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The white space: zero-code accessibility + deep lifecycle management. Nobody has combined both. VibeStrat owns it.
Business model
Multiple revenue layers. One compounding asset.
Free tier
₹0 / month
Paper trading only · unlimited strategy creation and backtesting · public leaderboard access · community forking
Pro
₹3,999 / month
Live execution on Hyperliquid · all Hermes research features · Polymarket signal conditions · priority backtest queue
Performance fee
10% of profits
Applied above high-water mark on live strategies. Aligns platform with trader success. Only charged on real alpha.
Strategy marketplace
Revenue share
Creators earn when their strategy is forked and run live by others. Platform takes 30% of licensing revenue.
Unit economics target
Target Pro users (month 12)500
Avg revenue per user / month₹5,200
MRR at month 12₹26L
Gross margin~72%
Performance fees scale with AUM. At ₹10Cr under management generating 15% annual returns, performance fee alone = ₹1.5Cr/year. The incentive structure grows with trader success.
Go-to-market
Don't announce features. Announce a track record.
The fastest trust-builder in a market full of AI trading claims is radical transparency about what works, what doesn't, and what died.
phase 01 · months 1–3
Build in public
@tellowlab · zero users
Run lifecycle on founder capital Post every birth + termination Weekly research notes Build termination graveyard page Waitlist only
phase 02 · months 4–6
Seed the degens
Invite-only beta · 100 users
Paper trading only Public leaderboard live on day 1 Every strategy has public URL Community fork feature early Strategy NFTs for beta users
phase 03 · months 7–12
Monetize the edge
Open + paid tier
Live execution tier launches Performance fee model active Strategy marketplace opens API access for DAOs Expand HL asset coverage
M1–3: MVP — Rust trading engine, NL vibe builder, basic evaluation, paper trading, public leaderboard live.
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M4–6: Full platform — Hermes agents, walk-forward eval, lifecycle management, Polymarket signal layer, community features.
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M7–12: Scale — live execution, marketplace, DAO API, first institutional partnerships.
key metrics at 12 months
Registered users2,000+
Active Pro subscribers500
Strategies created (lifetime)10,000+
Strategies terminated (public)2,000+
Capital under management₹8Cr+
MRR₹26L
Financials
12-month build. Clear path to revenue.
use of funds
Team (4 engineers, Hyderabad)₹64L (73%)
Infrastructure (AWS + Timescale)₹16L (18%)
LLM / API costs (OpenRouter)₹6.5L (7%)
One-off + buffer (20%)₹17.5L (~20%)
Total 12-month runway₹1.06Cr
revenue ramp
Month 6 MRR (beta)₹2.5L
Month 9 MRR₹10L
Month 12 MRR₹26L
Breakeven (projected)Month 14
Revenue is conservative. Performance fee upside is uncapped and scales directly with AUM. At ₹50Cr AUM generating 15% returns, performance fees alone = ₹75L/year.
Team
Built by traders who got tired of bad tools.
VS
Vitwit
Founder · Product & Strategy
Building Tellow — AI-powered wedding content platform. Technical entrepreneur with background in conversion optimization, behavioral UX, and data-driven product development. Based in Hyderabad.
@tellowlab
TBH
Rust Engineer
Hiring · Trading engine & execution
Senior Rust engineer with systems programming and low-latency trading experience. Target profile: 5+ years, prior fintech or HFT adjacent background preferred.
actively hiring
TBH
Python Backend
Hiring · Hermes runtime & evaluation
Senior Python engineer for Hermes agent runtime, evaluation engine, and API layer. Experience with LLM orchestration, async Python, and quant/financial systems preferred.
Hyperliquid ecosystem relationships · crypto fund introductions for pilot partnerships · quant research network for advisory · angel investors with CT distribution reach.
why now, not later
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The lifecycle loop moat compounds from day one. Every week of public track record is a week a funded competitor cannot replicate without time travel.
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Hyperliquid is at the exact inflection point where builder-native infrastructure wins. This window doesn't stay open.
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The team is lean enough that ₹1.5Cr buys 18 months of focus, not 6 months of runway with burn anxiety.
VibeStrat · 2025
Trade your instinct.
The strategy operating system for crypto-native traders. Describe it. Test it. Live it. Evolve it.