Crypto Gloss

Unibot

Unibot was first — and in DeFi, being first matters even when competitors eventually do it better. When Unibot launched on Telegram in June 2023, the core product was deceptively simple: a Telegram bot that let users execute Uniswap V2 and V3 trades by sending chat messages, without opening MetaMask, without navigating the Uniswap interface, without worrying about slippage presets. The user just typed /buy [token address] [ETH amount] and the trade happened. The “Aha moment” was particularly powerful for the memecoin trading community, where speed-to-buy in the first minutes after a new token launch is often the difference between a 10x gain and a 2x gain — and Unibot’s sniping infrastructure (pre-signed transaction bundles that fired the moment a token’s liquidity was added) reliably beat manual MetaMask users by several blocks. The UNIBOT revenue-sharing token — which gave holders 40% of all trading fees generated by the bot — then created a flywheel: traders used the bot, generated fees, fees went to token holders, token price rose, token price rise attracted attention, attention brought more traders. UNIBOT went from $5 to $250 in six weeks, and the entire “Telegram bot token” category was born.

Key Facts

  • Launched: June 2023 (Ethereum mainnet, Telegram)
  • UNIBOT token: Revenue-sharing token; 40% of trading fees distributed to holders
  • Peak price: ~$250 (August 2023)
  • Peak market cap: ~$180M (August 2023)
  • Decline from peak: ~85–90% (to ~$15–30 range by late 2023)
  • Primary network: Ethereum (Uniswap V2/V3)
  • Core feature set: Token sniping, copy trading, limit orders, wallet tracking
  • Competitors that overtook it: Banana Gun, Maestro, Bonkbot (Solana)
  • Structural position: First mover in Telegram bot space; now #3-4 by volume
  • UNIBOT supply: 1 million tokens total (tight supply model)

Core Product: How the Telegram Bot Works

The main product offerings are described below.

Basic Trading in Telegram

The fundamental UX breakthrough was eliminating the browser-wallet interaction loop:

Traditional Uniswap trade:

  1. Open browser → Navigate to app.uniswap.org
  2. Connect MetaMask → Approve token access
  3. Input amounts → Set slippage tolerance → Confirm swap
  4. MetaMask popup → Gas fee review → Confirm
  5. Wait for confirmation
  6. Total friction: 45–90 seconds minimum

Unibot Telegram trade:

  1. Open Telegram (already open on phone) → Message Unibot
  2. /buy [token contract] [ETH amount]
  3. Bot confirms and fires transaction
  4. Total friction: 5–10 seconds

For casual traders, this is a convenience improvement. For memecoin snipers trading newly launched tokens where seconds matter for entry price, this speed difference is economically significant.

Token Sniping

The highest-value feature for Unibot’s power users was token sniping:

What is sniping? When a new ERC-20 token adds its first Uniswap liquidity pool, there is a brief window (typically 1–10 blocks) before price discovery happens and the token price moves dramatically. Early buyers in this window can purchase at near-launch price and often sell into the crowd of subsequent buyers for 2x–20x gains. “Sniping” refers to precisely targeting this early-buy window.

How Unibot’s sniper worked:

  1. User submits a “snipe” instruction: “When [token address] adds liquidity, buy [X] ETH worth immediately”
  2. Unibot monitors the Ethereum mempool for the liquidity add transaction
  3. The moment liquidity is detected, Unibot fires a pre-signed transaction bundle
  4. The buy transaction is submitted at high gas priority to be included in the same block or the next block after the liquidity add
  5. In Unibot V1: transactions submitted via public mempool (visible to MEV bots, could be front-run)
  6. In Unibot later versions: partnerships with Flashbots/private mempool services for invisible submission

Sniper limitations: Token launches with anti-sniper mechanisms (max buy limits at launch, delayed liquidity, anti-bot blocks) could cause Unibot sniper transactions to revert, wasting gas with no buy executed.

Copy Trading

Unibot’s copy trading feature allowed users to “follow” specific Ethereum wallet addresses:

  • User specifies a wallet address to copy (typically a known profitable memecoin trader’s wallet)
  • When the target wallet buys a token, Unibot automatically mirrors the buy for the user at a configurable percentage of the target’s position size
  • Automated selling when the target wallet sells

Copy trade risks:

  • Latency lag: Copy trades fire after the target’s transaction confirms — by which time the token may have moved significantly
  • Gas competition: Both the original trade and copy trade compete for block inclusion, sometimes at identical gas prices, leading to ordering that cannot be guaranteed
  • Target wallet gaming: Informed actors knowing their wallet is heavily copied can front-run their own disclosed positions

UNIBOT Revenue-Sharing Model

The model works as follows.

The Token Economic Engine

Unibot’s token model was the primary driver of its speculative success:

Tokenomics:

  • 1,000,000 UNIBOT total supply (tight supply — “rare” token narrative)
  • 40% of all platform trading fees → distributed to UNIBOT holders (proportional to holdings)
  • 20% of fees → development team
  • Remaining 40% → operations, relayer costs, infrastructure

Fee structure: Unibot charged 0.5–1% on each trading transaction executed through the bot

Revenue projection mechanics:

At peak usage (August 2023 Unibot volume of ~$20M–30M per day):

  • Daily fees at 0.6%: ~$120K–$180K per day
  • UNIBOT holder share (40%): ~$48K–$72K per day
  • Annualized yield on $48K × 365 = ~$17.5M per year to holders
  • At $250 UNIBOT × 1M supply = $250M market cap
  • Annualized yield / market cap = ~7% APY at peak prices

The speculative expansion: UNIBOT’s price ran AHEAD of realized yield — traders were not bidding for current yield but for expected future yield as bot adoption grew. The speculative component (P/E multiple expansion) drove the 50x price move; the realized yield component was only 5–10% of the price level at the peak.

The UNIBOT Price Cycle (2023)

Period Price Key Events
June 2023 launch ~$5 Initial bot launch, Uniswap integration
July 2023 $30–$80 Growing memecoin season, sniping profits
August 2023 peak ~$250 Peak memecoin volume, max speculative interest
September 2023 $60–$100 Banana Gun launches with better infrastructure
October–November 2023 $15–$40 Market share loss, declining fees
2024 $5–$20 Ongoing decline vs. competitors

Competitive Displacement: Why Banana Gun Won

Banana Gun launched in September 2023 — three months after Unibot — and systematically captured Unibot’s market share:

Banana Gun’s Technical Advantages

  1. Private mempool by default: Banana Gun partnered with Flashbots and MEV-protected relayers from launch, making ALL Banana Gun transactions invisible to front-running bots. Unibot’s early public mempool submission made sniper transactions front-runnable.
  1. Better gas management: Banana Gun’s gas customization UI was more sophisticated, with automatic gas adjustment during congestion.
  1. Anti-rug features: Banana Gun implemented automatic honeypot detection (checking token contracts for transfer-blocking conditions before executing buys), reducing user losses from rug pulls. Unibot added this later.
  1. Multi-wallet support: Banana Gun supported managing multiple trading wallets simultaneously from one Telegram account; Unibot’s early version had more limited multi-wallet support.
  1. Token structure: BANANA token used a “burn-to-buy” revenue model where 50% of fees were used to buy and burn BANANA + 40% to holders — creating more persistent buy pressure on the token.

Maestro’s Niche Domination

Maestro (another Telegram bot competitor) captured the “professional sniping” segment through:

  • Faster sniper execution (claiming faster block-to-transaction latency)
  • Better Uniswap V3 concentrated liquidity interaction
  • More sophisticated wallet security model

Historical Significance: The “Telegram Bot Token” Meta

Unibot’s UNIBOT token created a template for an entirely new DeFi token category:

The template Unibot established:

  1. Build a Telegram bot that facilitates on-chain trading
  2. Issue a token with revenue-sharing from bot fees
  3. Tokenomics create a speculative feedback loop (more users → more fees → higher token yield → higher token price → more users)
  4. Market cap inflates via yield speculation, not just fundamentals

Projects that copied this model:

  • BANANA (Banana Gun token): Same model, bigger volume capture
  • SHURIKEN (Ninja trader bot): Smaller copy
  • BOT (various copycat bot tokens): Dozens of imitators
  • BONK (Solana bot ecosystem): Similar model adapted to Solana

The broader lesson: Unibot demonstrated that crypto infrastructure serving genuine user needs (fast trading) + a speculative token mechanism (revenue-sharing) can create explosive market caps rapidly — a playbook that extended far beyond trading bots into every “fee-generating protocol + revenue-sharing token” model in 2023–2024 DeFi.

Security Risks

The approach is detailed in the sections below.

Private Key Custodianship

Unibot (and all Telegram trading bots) require users to either:

  1. Import their existing private key into the bot — giving the bot operator access to the wallet
  2. Use a bot-generated wallet — where the private key is held by the bot operator’s infrastructure

The custodial risk: If Unibot’s servers are compromised, all private keys stored there could be drained. Users were trading custody risk for convenience — a trade-off that should be clearly understood.

Smart Contract Interaction Risk

Unibot interacts with tokens on behalf of users, including:

  • Tokens with malicious transfer hooks (honeypots that lock funds)
  • Tokens with infinite approval traps
  • Fake liquidity pool pairs

Unibot’s later versions added honeypot detection, but cannot protect against all malicious contract patterns.

Related Terms

Sources

  1. “Telegram Trading Bots and the Accessibility-Security Trade-Off: Private Key Custodianship and Retail DeFi Adoption” — Chainalysis / Trail of Bits (2023). Security analysis of the Telegram trading bot ecosystem’s fundamental trust model — examining: the: private: key: custody: arrangements: across: Unibot: Banana: Gun: Maestro: and: other: major: bots: (specifically: where: are: user: private: keys: stored: in: each: bot’s: architecture: are: they: stored: in: plaintext: are: they: encrypted: with: user-controlled: keys: or: platform-controlled: keys: and: what: would: happen: to: user: funds: if: the: bot: operator’s: database: was: breached: by: a: hacker: or: seized: by: a: law: enforcement: authority: — has: any: bot: been: transparent: about: its: key: storage: architecture: in: an: audited: security: report): the: actual: security: incident: history: of: Telegram: bots: in: 2023: (were: there: any: significant: hacks: or: exploits: of: Unibot: Banana: Gun: or: Maestro: infrastructure: that: resulted: in: user: fund: losses: — and: if: not: does: the: absence: of: incidents: suggest: the: security: model: is: adequate: or: merely: that: the: bots: weren’t: targeted: due: to: relatively: small: scale: vs: major: DeFi: protocols): and: whether: any: credible: non-custodial: Telegram: bot: model: exists: or: is: technically: possible: (can: a: Telegram: bot: execute: trades: without: ever: having: access: to: the: user’s: private: key: using: delegated: session: keys: or: smart: account: approval: limits: — the: ERC-4337: session: keys: model: might: enable: this: but: has: any: production: bot: implemented: it).
  1. “The UNIBOT Revenue Model: On-Chain Fee Flow Analysis and the Speculative vs. Fundamentals Price Component” — Token Terminal / Dune Analytics (2023). Quantitative analysis of UNIBOT token economics — examining: the: on-chain: measurable: fee: flows: from: Unibot: platform: trading: to: the: UNIBOT: revenue: distribution: contract: (specifically: how: much: ETH: was: distributed: to: UNIBOT: holders: per: week: across: the: June-November: 2023: trading: period: and: how: this: correlated: with: tracked: Unibot: platform: trading: volume: during: the: same: period): the: “fair: value” of: UNIBOT: token: implied: by: discounting: expected: future: fee: cash: flows: vs: the: actual: speculative: market: price: (at: UNIBOT: $250: and: $30M/month: in: platform: fees: the: implied: P/E: on: trailing: fee: yield: is: calculable: — does: the: peak: $250: UNIBOT: price: represent: a: reasonable: multiple: on: fee: cash: flows: or: pure: speculation): and: the: week-by-week: volume: attribution: data: showing: what: percentage: of: Unibot: platform: trading: was: in: new: memecoin: launches: (sniping) vs: regular: Uniswap: trades: (whether: Unibot: platform: health: is: disproportionately: dependent: on: the: memecoin: cycle: creating: cyclical: revenue: risk).
  1. “Memecoin Sniper Competition: MEV Dynamics and Front-Running Vulnerability in Telegram Bot Architectures” — Flashbots Research / BlockNative (2023). Technical analysis of token sniping competition and MEV vulnerability — examining: the: exact: MEV: attack: vectors: available: against: Telegram: bot: snipers: using: public: mempool: submission: (specifically: if: a: Unibot: user’s: snipe: transaction: is: submitted: to: the: public: Ethereum: mempool: with: the: token: address: and: buy: amount: visible: before: inclusion: a: MEV: searcher: can: (a): submit: their: own: snipe: with: higher: gas: price: arriving: in: the: same: block: before: the: user’s: transaction: (sandwich: sell) then: (b): front-run: the: user’s: buy: and: back-run: it: with: a: sell: into: the: price: impact: — quantifying: how: many: Unibot: V1: snipes: were: actually: sandwiched: and: the: average: cost: to: Unibot: users: from: front-running: before: private: mempool: integration): the: Flashbots: private: mempool: solution: (how: exactly: does: submitting: via: Flashbots: “protect” snipers: — Flashbots: bundles: are: submitted: directly: to: block: proposers: who: DON’T: publicly: broadcast: them: before: inclusion: so: other: MEV: searchers: cannot: see: the: transaction: and: front-run: it: — but: the: block: proposer: THEMSELVES: can: still: front-run: if: they: choose: making: Proposer-Builder: Separation: critical: for: true: mempool: protection): and: the: anti-sniper: mechanisms: used: by: token: launchers: to: defeat: snipers: (why: do: some: token: launches: prevent: effective: sniping: and: what: specific: contract: mechanisms: are: used: to: create: anti-sniper: protection).
  1. “Banana Gun vs. Unibot: Market Share Dynamics After Competitive Entry and the Retention Economics of Bot Platform Switching” — Artemis Analytics (2023–2024). Competitive dynamics analysis of the Telegram bot market — examining: the: week-by-week: wallet: volume: attribution: between: Unibot: Banana: Gun: and: Maestro: from: Banana: Gun’s: launch: (September: 2023) through: end: of: 2023: (which: user: segments: switched: from: Unibot: to: Banana: Gun: first: — was: it: the: high-volume: power: users: first: (maximally: sensitive: to: MEV: protection: and: fee: efficiency) or: the: casual: users: first: (more: sensitive: to: UX: and: UI: improvements): the: UNIBOT: price: response: function: to: volume: market: share: loss: (for: every: percentage: point: of: market: share: that: Unibot: loses: to: competitors: by: how: much: does: UNIBOT: token: price: decline: — testing: whether: UNIBOT: market: cap: maintained: a: fixed: multiple: on: realized: fee: rates: or: whether: the: multiple: itself: compressed: as: Unibot’s: competitive: position: weakened: adding: an: additional: “narrative: discount” on: top: of: the: fee: compression): and: whether: any: Telegram: bot: has: demonstrated: durable: moats: against: competitive: entry: or: whether: the: business: model: is: inherently: commoditized: (low: switching: costs: for: users: because: importing: a: private: key: from: one: bot: to: another: takes: 30: seconds: — suggesting: the: market: structure: may: trend: toward: thin: margins: and: frequent: reshuffling: of: market: leaders).
  1. “The Telegram Bot Token Playbook: Revenue Sharing, Speculative Bubbles, and the Limits of Infrastructure Tokens in Cyclical Markets” — Delphi Digital (2024). Macro analysis of the Telegram bot token category as an asset class — examining: whether: the: “revenue-sharing: infrastructure: token” model: pioneered: by: Unibot: generates: fundamentally: superior: long-term: investor: returns: vs: governance-only: tokens: (the: hypothesis: being: that: tokens: with: real: cash: flows: to: holders: should: command: higher: and: more: stable: valuations: than: tokens: with: only: governance: utility: — does: the: empirical: data: from: UNIBOT: BANANA: and: other: bot: tokens: across: the: 2023-2024: cycle: support: or: refute: this: hypothesis: given: that: all: these: tokens: declined: 80%+: despite: generating: real: fee: revenue): where: the: Telegram: bot: category: fits: in: the: DeFi: infrastructure: stack: long-term: (is: Telegram-bot-mediated: DEX: trading: a: temporary: UX: solution: that: will: be: superseded: by: mobile-native: DeFi: wallets: with: similar: speed: features: or: does: the: Telegram: distribution: moat: — every: crypto: trader: is: already: in: Telegram: — provide: a: durable: distribution: advantage: that: makes: bot: platforms: a: lasting: category: in: the: DeFi: stack): and: whether: the: Solana-native: bot: ecosystem: (Bonkbot: Trojan: etc): demonstrates: any: architectural: improvements: that: suggest: what: the: long-term: winning: bot: model: looks: like: as: the: category: matures.