A repeatable checklist for evaluating any new pump.fun launch before you buy. Five checks, under 60 seconds, that separate the 1.4% of tokens worth holding from the 98.6% that dump in the first hour.
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New pump.fun tokens launch at a rate of thousands per day. Most die within minutes. The traders who consistently find the ones worth holding are not faster — they are more systematic. They run the same checks on every launch, in the same order, and skip anything that fails early.
This guide gives you a repeatable 60-second scoring framework for any new pump.fun token. Five checks, each taking 10–15 seconds, that tell you whether a launch is worth a position or a skip.
The bonding curve mechanics on pump.fun create a specific timing dynamic: the best entries happen early, before the token has accumulated a following, and the worst entries happen after a social call when price has already moved. The window between "worth buying" and "buying exit liquidity" can be under two minutes on fast-moving launches.
A 60-second evaluation lets you catch the launch while a position is still worth taking, without skipping the checks that protect you from the 98.6% of launches that dump regardless of how fast you enter. The earliest moments matter most — we dig into why in the first 3 minutes: how 1-in-200 pump.fun tokens graduate.
The sequence below is ordered by speed and by filtering power — the fastest checks that eliminate the most bad launches come first.
Open a Solana bundle checker and paste the token contract address. This tells you whether the launch was bundled — whether a single operator controlled multiple wallets that bought simultaneously on token creation via a Jito bundle.
Pass: No bundle detected, or bundle under 5% of supply Fail: Bundle detected taking 10%+ of supply
Why this comes first: bundled launches are almost universally exits engineered by the deployer. The bundler took a cheap position before any retail buyer could participate. Their entire return depends on dumping into you. This check eliminates roughly half of bad launches in 10 seconds.
If it fails: skip. Do not try to time it. The bundler's position is your ceiling.
Copy the deployer wallet address from the token page (visible on pump.fun and DexScreener). Paste it into Solscan and filter transactions by token creation events.
Pass: 0–5 prior launches with at least 30% graduation rate, OR first-time deployer with a funded, aged wallet Caution: 5–20 prior launches, mixed graduation record : 20+ prior launches with sub-10% graduation rate
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Open the KOL TrackerWhy this matters: a deployer with 40 tokens and 2 graduates is a serial dumper. Their launch pattern is documented. The current token follows the same script regardless of how the concept sounds. We explain exactly how this graduation-rate scoring works in inside our deployer intelligence: how we score 10,600+ pump.fun deployers.
One exception worth knowing: an abandoned token sometimes gets revived by its holders, and our guide to finding and scoring Solana community takeovers covers how to read those CTOs where the original deployer no longer matters.
First-time deployers are not automatically bad — everyone has a first token. But check the funding source of the deployer wallet. A wallet funded from a major exchange a week ago suggests someone with a real history choosing to be pseudonymous. A fresh wallet funded today from another fresh wallet is a throwaway.
On DexScreener or Birdeye, check the token's holder distribution. Look at the top 10 holders' combined percentage.
Pass: Top 10 holders control under 25% of supply Caution: 25–40% Fail: Top 10 holders control 40%+ of supply
Why this matters: high concentration means a small group controls whether price goes up or down. When two or three of those holders decide to sell, there is nothing to absorb the pressure. The price collapses faster than any retail buyer can exit.
Also check for active freeze authority on the token contract (visible on Rugcheck). If freeze authority is enabled, the token creator can lock any wallet from selling. This is an automatic fail regardless of concentration. While you're at it, check for Token-2022 transfer-fee extensions — our guide on Token-2022 transfer fees and how they break AMMs explains why a built-in fee can quietly tax every exit.
Look at the first 10–20 wallets that bought the token. On DexScreener, this is visible in the "Trades" tab sorted by time. Click 2–3 of the earliest buyers and check their wallet history on Solscan.
Pass: Wallets are aged 30+ days, have diverse trading history across multiple tokens, entries are spread across 1–3 minutes Caution: Some fresh wallets mixed with aged ones, entries clustered but not simultaneous Fail: Multiple wallets created this week, identical trade sizes, entries in the same block or same 10-second window
Why this matters: bot-dominated early buyer lists mean there are no real holders. When bots rotate out (usually within minutes), there is no demand. The token does not dump dramatically — it simply fades with no buyers.
Human early buyers with diverse histories create genuine holder bases. They are more likely to hold, add to their position, and tell others.
Look at the price chart for the first 5–15 minutes. What does the shape look like?
Pass: Multiple price discovery cycles — the price rises, consolidates, rises again, consolidates. Organic accumulation pattern. Volume is spread across many transactions of different sizes.
Caution: Single strong spike followed by sideways movement. Could recover or could be early distribution.
Fail: Sharp spike followed by immediate decline back to near-launch price. Classic pump-and-dump shape. Volume is concentrated in a few large transactions.
Why this matters: the bonding curve shape in the first 10 minutes tells you what the launch mechanics actually are. Organic accumulation looks choppy and stepped. Manufactured pumps look like a spike and a cliff. To read these shapes confidently, it helps to understand the math behind bonding-curve pricing and why price climbs faster as supply sells out.
Run all five checks. Score each as Pass (2 points), Caution (1 point), or Fail (0 points).
| Score | Action |
|---|---|
| 9–10 | Strong entry candidate — deploy your full planned position |
| 6–8 | Cautious entry — smaller position, tighter stop |
| 3–5 | Skip or very small speculative position only |
| 0–2 | Hard skip — high probability of loss |
The 60-second framework does not guarantee winners. On pump.fun, even high-scoring tokens fail. What it does is improve your base rate: instead of entering 100 tokens where 98 dump, you enter 100 tokens where 70 dump and 30 have a reasonable chance of graduating or sustaining.
A high score does not wait. The window between "this looks good" and "this is already 4x" is often under three minutes on genuine launches. You need your execution ready before you start the checklist.
For manual execution: have your preferred terminal (Axiom or Photon) open with wallet connected and buy presets configured. Axiom and Photon both support one-click buys with saved amounts — configure your pump.fun default size before you start scanning.
For automated execution alongside manual research: Bloom runs alongside your research terminal via its browser extension. When you find a high-scoring token, hit the Bloom overlay button instead of switching tabs and fumbling with a DEX interface. The speed difference on a fast launch is meaningful.
For copy trading: if a token scores highly and you also see 3+ KOL wallets in the first-buyer list, that is a dual signal. Use Trojan's copy trading to ride those wallets automatically rather than managing the position manually.
Manual checking scales to about 10–15 tokens per hour before cognitive load degrades your decisions. Above that threshold, automation helps.
The MadeOnSol API pre-calculates the buyer quality score for any pump.fun token mint address — the same signals as Check 4 above, automatically scored across the first 50 buyers. The deployer score covers Check 2. Both are available via the /v1/tokens/{mint}/buyer-quality and /v1/tokens/{mint}/deployer-score endpoints.
You can build a scanner that:
Instead of running the 60-second checklist manually on every launch, you only see launches that have already passed Checks 2 and 4 automatically. Your manual review focuses on Checks 1, 3, and 5 — the ones that are fastest to eyeball and hardest to automate.
The free tier gives access to both scoring endpoints (no card required). API docs →
Skipping the bundle check because the concept is interesting: The concept is irrelevant if the launch was bundled. A bundler's exit does not care about your conviction.
Treating a single passing check as a green light: All five checks exist because all five failure modes are independent. A clean deployer history does not protect you from a bot-dominated buyer list.
Entering after the chart has already moved 3x: A high-scoring token at 5x is a different risk profile than at 1x. The checklist is designed for launch evaluation, not for chasing already-pumped tokens.
Using the same position size regardless of score: A 9/10 token and a 5/10 token are fundamentally different risk profiles. Size accordingly.
Forgetting that 60 seconds has a cost: The 60-second checklist costs you the first 60 seconds of price movement. On a slow launch, this is irrelevant. On a fast launch, you may miss the best entry. The tradeoff is intentional — a slightly worse entry on a verified token beats a fast entry on a rug.
DexScreener's "New Pairs" filter for pump.fun surfaces launches as they happen. Birdeye's Pulse feed and GMGN both show new pump.fun tokens. Some traders also monitor the pump.fun homepage directly.
Several free Solana bundle checkers exist — search "Solana bundle checker" for current options. They take a contract address and return whether a Jito bundle was used at launch and what percentage of supply it captured.
Rugcheck covers freeze authority, mint authority, and LP lock status — part of Check 3. It does not cover deployer history, early buyer quality, or bonding curve shape. Use it as one tool in the stack, not a complete evaluation — our guide on how to use RugCheck to verify any Solana token in 30 seconds walks through reading its risk report.
It happens. The checklist improves your base rate, it does not eliminate risk. Position sizing and stop-loss management are separate disciplines that operate on top of the checklist, not instead of it.
Not directly — Token-2022 tokens need an extra check beyond the standard five. See our guide on how Token-2022 transfer fees and hooks can break AMM pricing for that specific risk. For the fuller picture of why tokens fail even after passing initial checks, see why pump.fun tokens fail their first hour.
It is a bonus signal, not a checklist item. If a token passes all five checks AND has 2+ tracked KOL wallets in its first-buyer list, that is additional conviction. If a token fails three checks but has KOL wallets in it, those KOLs are either poorly informed or coordinating a pump. The checklist takes precedence.