In the ever-evolving world of crypto, timing isn’t just everything — it’s the difference between a 10x return and a wallet full of regrets. Nowhere is this more true than on Solana, where lightning-fast execution, low fees, and an increasingly vibrant meme coin and DeFi launch culture have made it a breeding ground for a new breed of threat: sniping bots.
These automated tools — often wielded by sophisticated actors — are designed to frontrun manual users during token launches, scooping up newly listed tokens in the first few milliseconds of availability. Their goal? Secure the most lucrative entries before the rest of the market can even click "Buy."
Sniping bots have become especially prominent amid Solana’s recent surge in user activity. The ecosystem’s low latency and fast block finality — typically strengths — ironically amplify the problem. Bots exploit these advantages, executing pre-built transactions at the exact moment liquidity pools go live or token mints become claimable, often leaving manual users with inflated prices or empty bags.
This article investigates the technical architecture, platforms, and behavioral patterns behind Solana sniping bots. Using Arkham Intelligence, we trace wallet activity tied to high-profile sniping events, map the financial impact on projects and users, and explore the cat-and-mouse game between bot developers and teams trying to ensure fairer launches.
Finally, we propose actionable strategies for mitigating the impact of snipers, including architectural design improvements, community tooling, and behavioral pattern monitoring. As Solana continues to gain momentum, building a more fair and trusted launch environment is essential to long-term sustainability, and this report aims to shine light on the dark corners of what may be Solana’s most pressing undercurrent.
In the context of Solana, sniping bots are automated programs designed to monitor token launches and execute buy transactions the instant a new token becomes tradeable, often within a few hundred milliseconds or less. Their primary advantage lies in speed, precision, and a deep integration with Solana’s low-latency infrastructure. By the time a human user clicks a button, the bot has likely already secured the most favorable price.
Sniping bots are a subset of frontrunning bots, with a singular focus: exploit the launch window of a new token, whether it's through an SPL token mint, a DEX liquidity addition, or a fairdrop claim window.
Let’s break down the primary categories:
These bots scan trusted Remote Procedure Call (RPC) endpoints for state changes, such as when:
A token’s mint authority is revoked (common before liquidity is added),
A liquidity pool is initialized on Orca, Jupiter, or Raydium.
The InitializeAccount
or AddLiquidity
Instructions are executed.
Once detected, the bot rapidly signs and sends a transaction to buy the token at the earliest possible moment.
These bots monitor the creation of AMM pools, especially on popular DEXs like Jupiter Aggregator, Raydium, and Meteora. Once a pool is initialized and the first liquidity is added, the bot calculates the optimal slippage and sends a buy instruction, often via a swapExactSOLForTokens
call.
They often pre-calculate token addresses based on mint + metadata to pre-build their transactions.
Given Raydium’s legacy and on-chain transparency, many snipers specifically target its initialize2
and addLiquidity
functions. There are public repositories where developers simulate sniping on Raydium testnet environments.
In cases where token mints are fairdropped or claimable, bots will:
Preload wallets with SOL,
Monitor the exact block when claiming goes live,
Batch claim and immediately list/sell the tokens.
In some cases, snipers split funds across hundreds of fresh wallets to bypass per-address limits (aka Sybil sniping).
Solana’s architecture, while efficient, makes the sniping game incredibly competitive:
Feature | Impact |
---|---|
400ms block times | Bots only need to wait a few hundred ms to frontrun manual users. |
No public mempool | Harder to detect sniping attempts ahead of time; bots rely on confirmed state changes. |
Low transaction fees | Bots can spam transactions across multiple RPC endpoints without much cost. |
Parallel transaction execution (Sealevel) | Multiple bots can compete in the same block without bottlenecks. |
Fast finality | Once sniped, tokens are confirmed and withdrawn before anyone can react. |
While both fall under the umbrella of MEV (Miner Extractable Value) or validator-extractable value, snipers and sandwich bots operate differently:
Sniping Bots | Sandwich Bots |
---|---|
Target token launches | Target pending swaps |
Buy before humans can | Insert tx before and after user to extract slippage |
Exploit launch timing | Exploit mempool order flow |
Less common on Solana due to no public mempool | More common on Ethereum-like chains |
On Solana, sniping is the dominant form of MEV, especially during the rise of meme coin launches in early 2024.
Sniping bots may vary in complexity, but their architecture generally follows a similar structure. The goal is simple: maximize speed, minimize delay, and capitalize on predictable launch patterns.
Here’s a simplified breakdown of how these bots work under the hood.
This is the bot’s brain — it continuously scans for on-chain activity that signals an imminent launch. These include:
Detection of liquidity addition (AddLiquidity
, InitializePool
)
Token account creations
Mint authority revocation
Specific program IDs (e.g., Raydium, Jupiter, Meteora)
Tech stack:
Rust, TypeScript (with @solana/web3.js
), or Python (solana-py
)
Access via dedicated RPCs (Helius, Triton, Jito) to avoid rate limits.
Once a snipe opportunity is detected, the bot:
Instantly composes a transaction using known token addresses
Sets slippage thresholds and gas priority
Optionally splits funds across multiple wallet addresses to avoid anti-sybil measures
The transaction is pre-signed or rapidly signed on trigger.
To maximize the chances of winning the race, snipers will:
Send the transaction simultaneously to multiple fast RPC endpoints
Use RPC providers with low ping latency and geographic proximity to validators
Retry aggressively across 5–10 endpoints until the tx lands in a block
Some bots also use Jito relays to prioritize their transactions via stake-weighted validators.
Once the token is sniped:
The bot watches for price movement
Instantly swaps the tokens back to SOL or USDC when it hits a target % gain
Sends profit to a main wallet while burning or abandoning the funded burner wallet
Arkham Intelligence has identified this extract-and-abandon behavior in several sniping wallets.
Here's a high-level diagram showing where sniping bots strike in a typical token launch:
Step 1: Project creates and finalizes token mint
Step 2: Liquidity is added to a DEX pool
Step 3: Bot detects the liquidity tx and front-runs any buys
Step 4: Manual users arrive seconds later, buying into higher prices
Step 5: Bot sells into those buys and exits
While some snipers build proprietary tools, many rely on open-source boilerplate code:
Repo | Description |
---|---|
| Public GitHub repo with simple Raydium-based sniping logic |
| Rust-based bot designed to plug into Jito validators |
| Typescript-based bot that watches for Raydium pool inits |
| Python SDK for orchestrating Solana trading bots |
| Telegram-connected sniper frameworks with private configs |
These tools are often modified with private RPC endpoints, faster signature libraries, and wallet-funding automation scripts.
Predictive Sniping: Calculating token mint addresses in advance based on deployment patterns
Sybil Parallelism: Running 100+ simultaneous wallets to bypass per-wallet mint caps
Multiple Network Broadcasting: Sending transactions from servers in different geographic regions for latency arbitrage
Block Timing Calibration: Bots ping the Solana clock program to time txs within ~100ms of the expected block interval
Solana’s resurgence in late 2023 and early 2024 brought a wave of new token launches — especially meme coins — many of which fell victim to sniper bots. These bots not only scooped massive token allocations before manual users could react but also cascaded volatility and inflated token valuations within seconds of launch.
Let’s examine key case studies that highlight the sniper problem in action.
Date: March 18, 2024
Narrative: $SLERF was one of the most anticipated meme launches, having accidentally burned 100% of tokens meant for airdrop recipients. This unexpected scarcity created the perfect storm — and sniper bots went wild.
As liquidity was added, sniping bots flooded the Raydium pool within 0.3 seconds.
Several wallets executed buys using pre-signed TXs and immediately offloaded into retail pumps.
Arkham traces reveal clusters of wallets withdrawing ~45,000 SOL worth of profit within the first hour.
A wallet labeled SLERFsniper.sol
received SOL from Fantom bridge, sniped SLERF, and quickly distributed profits to 12 linked wallets.
Pattern: All outgoing txs used the same fee-payer and timing patterns.
Average manual user entry price was 3.1x higher than sniper wallet entries.
Bots extracted $1.2M+ in profit within 45 minutes.
Date: December 2022
Narrative: $BONK marked the first major meme coin explosion on Solana. Although more community-focused, several early liquidity and exchange events were heavily sniped.
A small group of wallets executed Raydium pool buys before any official Twitter announcement.
These wallets bought $BONK at near-zero cost and sold into the surge.
Labeled wallets from the BONK pool deployment traced to developer-associated or VC-funded addresses.
While not outright malicious, these “insider” wallets had high correlation with initial spikes and dumps.
Early wallets held 5–10x more BONK than average airdrop recipients.
Caused significant FUD around decentralization of token access.
Date: January 2024
Narrative: $WIF (dogwifhat) launched more “organically” than most tokens — but that didn’t stop bots from trying.
The token initially launched without major fanfare — but was still picked up by general-purpose snipers that were scanning token mints with new liquidity on Raydium.
A handful of bots bought into the first pool at ~$0.003, selling into the first ~$0.02 spike.
Two sniper wallets (solanaSnpr48
and ETH2SOLxfer88
) used programmatic bridges from Ethereum, indicating cross-chain MEV actors.
Both exited within 30 minutes with ~$200K profits.
Arkham has identified a pattern of 16+ wallets, labeled collectively as the “Ice Sniper” Cluster, all tied to a sniper script designed to:
Detect Raydium pools within 1–2 blocks of creation
Split bids across 8–16 wallets
Use a single cold wallet to centralize profits
🧠 Tech Details:
All wallets funded by TornadoCash→ETH→Wormhole→SOL path
Fee payer pattern revealed a single backend controller
Regular movement of profits to Binance, Coinbase, and Orca CEX bridges
💰 Cumulative P&L: Over $4.7M in sniping-related profits in Q1 2024 alone
Insight | Summary |
---|---|
Snipers are fast, programmatic, and invisible | Most snipes happen within 1–2 blocks of launch, with no advance warning. |
Wallet clusters are coordinated | Snipers often use dozens of burner wallets, all feeding back to a central “brain.” |
Manual users are disadvantaged | Manual buyers are consistently forced to buy at higher prices and exit later. |
Arkham helps surface patterns | Cluster detection, bridge origin tracing, and fee-payer linking all aid visibility. |
Sniper bots are not just a nuisance — they represent a multi-million dollar extraction mechanism that distorts Solana’s fair launch ethos and undermines user trust. In this section, we break down the financial impact across key vectors: retail users, project teams, liquidity providers, and the broader ecosystem.
Manual users are consistently the biggest losers in sniper-dominated launches.
Entry Slippage: On average, manual users enter at 2x–4x the price of sniper bots (within 10–20 seconds post-TGE).
First-hour Net P&L: Over 70% of manual users who buy in the first 5 minutes of a sniped token launch are net negative due to early price dumps.
Behavioral Impact: Many new users experience their first Solana DEX trade as a loss, discouraging repeat activity.
Metric | Sniper Wallets | Manual Users |
---|---|---|
Average Entry Price | $0.016 | $0.049 |
Exit Price (15m later) | $0.035 | $0.035 |
Net ROI | +118% | –28% |
Launches targeted by sniper bots often lose control of initial distribution, undermining token economics and credibility.
No Control Over Token Flow: Bots can acquire 20–40% of supply within seconds, regardless of tokenomics or whitelists.
Damage to Brand: Community backlash against “insider launches” — even if bots were external — is common.
Derailed Airdrops or Loyalty Plans: Snipers acquire allocations meant for long-term supporters.
$SLERF’s accidental burn made distribution even more important — yet snipers grabbed millions in seconds, leaving the community scrambling.
LPs often provide the target for snipers — especially in Raydium concentrated pools, where bots can exploit thin liquidity.
Price Misalignment: Snipers eat deep into low-range liquidity, leaving LPs with bad fills and impermanent loss.
Flash Imbalance: Bots can cause sudden 10x–20x price shifts in under a minute, leaving pools unstable.
Sandwiching Risks: Some bots front-run liquidity adds, instantly buy, then sell back into the pool before it stabilizes.
Pulling together data from Arkham, Dune, and public memecoin launches:
$6.5M+ in profits by sniper bot clusters
20+ distinct wallets or clusters observed with repeated activity
Top 5 sniper wallets extracted $3.2M alone, often cycling profits back into other Solana-based tokens
Lower user retention (especially for first-time traders)
Growing reliance on bot countermeasures (e.g., private launches, launchpads)
Decreased project trust when launches are perceived as “rigged”
Stakeholder | Sniper Impact | Consequences |
---|---|---|
Manual Users | Bad pricing, poor UX | Net losses, churn, distrust |
Project Teams | Loss of token control | Reputation damage, broken tokenomics |
LPs | Volatility, bad fills | IL, price distortion |
Ecosystem | Extractive behavior | Reduced long-term user/investor trust |
To address the growing threat of sniper bots and ensure a level playing field for all participants, the Solana ecosystem must adopt a multi-pronged approach: improving launch infrastructure, leveraging anti-bot design patterns, and building smarter detection systems.
Projects can deploy temporary trading restrictions to deter bot activity during the launch window:
Anti-bot timing delay: Restrict trading for a few seconds or block bots that attempt same-block swaps.
Cooldown period: Limit wallet to 1 txn per X seconds in the first minute.
Gas bracketing: Reject outlier compute-unit usage or artificially inflated priority fees in early blocks.
Example: DripHaus used a “time-delay + queue system” to allow fair minting of their collectibles.
Use curated platforms like Pump.fun, Birdeye Launch, or Solstarter, which:
Enforce fair timing for token releases
Distribute launch allocation more broadly
Have built-in anti-sniping code (e.g., cooldowns, wallet filters)
Tools like Arkham Intelligence can be paired with simple heuristics to identify known sniper wallets:
Patterns to flag:
Wallets that only transact during TGE windows
TXs within first 500ms of liquidity add
High-frequency new wallet creation (burners)
Wallets cycling back to centralized exchanges quickly
Once detected:
Projects can pre-ban these wallets from interacting with their token contracts
Launchpads can score wallets and assign “bot risk” levels
🛠 Future Work: Solana developers could build a public bot-risk registry like walletwatcher.xyz for Ethereum.
Leverage CAPTCHAs, wallet age, or Twitter/Discord-based proof systems to gate early trading.
Split the launch into:
Community Allowlist phase (manual or semi-manual, lower size caps)
Public phase (where bots can engage, but with limited edge)
Snipers often outpace others by attaching massive priority fees.
Possible solutions:
Cap priority fee per wallet per block
Weight tx processing based on wallet reputation, not just fee
After token launches:
Require projects to publish post-mortems
Include Arkham wallet cluster flows and TX histories
Show who got in first, how much, and when
Benefit: Transparency discourages snipers from operating in the open and allows communities to verify fairness.
Launch bounties to:
Disclose sniping strategies
Share mitigation tooling
Label wallet clusters publicly
A shared toolkit open-sourced across projects, with:
Anti-sniping template contracts
Real-time bot wallet blocklists
UI components that introduce delays/captcha by default
Partner with popular RPCs to:
Monitor burst patterns from known bot clusters
Rate-limit suspicious wallets
Provide public dashboards of launch-time anomalies
Solution Area | Recommendation | Example / Tool |
---|---|---|
Launch Design | Cooldowns, phased release, anti-fee exploits | DripHaus, Birdeye Launch |
Bot Detection | Use Arkham to ID sniper wallets | Arkham Intelligence |
Protocol Safeguards | Rate-limit early TXs, limit same-block trades | Custom launch smart contracts |
Transparency | Post-mortem analysis, forensic dashboards | Arkham, Dune |
Ecosystem Coordination | Open-source launch security tools | "Fair Launch Toolkit" (future) |
With these layered defenses, Solana can evolve into a blockchain known not just for speed — but for fairness, resilience, and user trust.
In this article, we have explored the landscape of sniping bots on Solana, delving into the methodologies, platforms, and entities involved, as well as assessing the financial impact on token launches. Through comprehensive analysis using Arkham Intelligence data, we've identified key actors in sniper bot operations and mapped their activities, highlighting the growing concern of front-running and its negative effects on market fairness.
While sniper bots provide an advantage to certain traders, they undermine trust and equity in the Solana ecosystem. By implementing stronger safeguards, such as anti-bot mechanisms, transaction monitoring tools, and transparency in token launches, Solana can mitigate the harm caused by sniping bots and ensure a more equitable environment for participants.
Moving forward, Solana’s ability to adapt and implement these strategies will be essential in maintaining the integrity of its decentralized ecosystem. These efforts will not only foster trust but also enable broader adoption and a more vibrant, sustainable blockchain environment. Through coordinated action and community-driven solutions, the Solana ecosystem can address the growing challenge of sniper bots, ensuring its position as a leader in the blockchain space.