The Experiment: Why I Did This
I was tired of anecdotes. Every crypto forum, every Telegram group, every Twitter thread — someone’s always claiming “90% of memecoins die” or “only 1 in 100 makes it.” But where were those numbers coming from? Gut feeling? Vibes?
I wanted real data. So I set up an experiment: track exactly 1,000 new Solana tokens from the moment they launched, check on them every day for a full week, and record what happened to each one. No cherry-picking. No filtering for “promising” ones first. Just raw, unbiased observation of 1,000 consecutive tokens hitting the Solana blockchain.
What I found was worse than the anecdotes suggested — and also more interesting. Because the tokens that survived shared patterns that were visible from the very first hour.
The Setup: How I Selected and Monitored 1,000 Tokens
I used TokenRadar as my primary solana memecoin tracker for this experiment. I chose it because it pulls from every major launch source in real-time — Pump.fun, Moonshot, and Raydium migrations — and runs automatic safety analysis on each token. That gave me a consistent dataset without needing to manually check each one across different platforms.
Here’s how I structured the tracking:
- Sample: 1,000 consecutive new solana tokens detected between Monday 9:00 AM UTC and the time the count hit 1,000 (which took roughly 14 hours)
- Sources: 612 from Pump.fun, 243 from Moonshot, 145 Raydium-graduated tokens
- Check-ins: End of Day 1, Day 3, and Day 7
- Definition of “alive”: At least $50 in 24h trading volume AND at least 10 unique holders AND price above $0
- Definition of “dead”: Failed any one of those three criteria
I recorded price, holder count, volume, safety rating, liquidity status, and whether the token had an active community (Telegram or Twitter with posts in the last 24 hours). Everything went into a spreadsheet. Seven days of checking. Here’s what the data showed.
Day 1: The First Massacre
By the end of the first 24 hours, 781 of the 1,000 tokens were dead.
That’s not a typo. Within a single day, 78.1% of all new solana tokens had either hit zero volume, lost all their holders, or both. Most of them didn’t even last six hours. The median time to death was roughly 3 hours and 40 minutes.
Breaking it down further:
- 412 tokens never had more than 5 holders at any point. They were created, bought by the creator (sometimes from multiple wallets), and abandoned.
- 187 tokens showed the classic rug pull pattern — a quick price spike in the first 30 minutes, then a single massive sell that drained all liquidity. Over and done in under an hour.
- 182 tokens had real initial activity (20+ holders, genuine volume) but lost momentum before the 24-hour mark. Interest simply evaporated.
That left 219 tokens still showing signs of life. A 21.9% survival rate after just one day.
Day 3: The Survivors Emerge
By the 72-hour mark, the number of living tokens had dropped to 84. That’s 8.4% of the original sample.
But here’s where it got interesting. Between Day 1 and Day 3, the die-off wasn’t random. When I looked at what distinguished the 84 survivors from the 135 tokens that died between Day 1 and Day 3, clear patterns appeared.
Survivors almost always had:
- Mint authority revoked (97.6% of survivors vs. 31% of the Day 1-3 dead)
- At least some form of liquidity lock or burn (89.3% vs. 18%)
- More than 50 unique holders by the end of Day 1 (92.8% vs. 40%)
- An active Telegram or Twitter with posts from non-creator accounts
- A “Safe” or “Warning” rating on the memecoin screener — not “Danger”
The tokens that died between Day 1 and Day 3 were mostly what I’d call “flash-in-the-pan” tokens. They had some real initial interest — enough to survive Day 1 — but lacked the fundamentals to sustain it. No community infrastructure. No reason for new buyers to show up on Day 2.
This is the phase where using a proper DYOR process matters most. A token that looks alive on a chart can still be structurally dead — walking toward zero, just taking longer to get there.
Day 7: The Final Count
After a full seven days, 27 tokens were still alive by my criteria. A 2.7% survival rate.
Of those 27:
- 11 were holding a price above their Day 1 close (net positive)
- 9 were down from Day 1 but still trading with active volume
- 7 were barely alive — technically meeting my threshold but showing declining volume and shrinking holder counts
If I tighten the definition to “tokens you’d actually want to hold” — positive price trend, growing holders, volume above $500/day — the number drops to 11 out of 1,000. That’s a 1.1% success rate.
Survival Rates by Source
One of the most telling findings was how dramatically survival rates differed depending on where the token originated. Using the best memecoin tracker 2026 tools available, I was able to tag every token by its launch source and track them separately.
| Source | Sample Size | Alive Day 1 | Alive Day 3 | Alive Day 7 | 7-Day Survival Rate |
|---|---|---|---|---|---|
| Pump.fun (bonding curve) | 612 | 87 (14.2%) | 24 (3.9%) | 6 (1.0%) | 1.0% |
| Moonshot | 243 | 56 (23.0%) | 19 (7.8%) | 5 (2.1%) | 2.1% |
| Raydium graduated | 145 | 76 (52.4%) | 41 (28.3%) | 16 (11.0%) | 11.0% |
| Total | 1,000 | 219 (21.9%) | 84 (8.4%) | 27 (2.7%) | 2.7% |
The Raydium-graduated tokens had an 11% survival rate at Day 7 — more than 10x the rate of raw Pump.fun tokens. This makes sense. Tokens that have already graduated from the bonding curve have proven at least some level of demand. They’ve passed a filter. They’re not just someone’s random 30-second creation.
This doesn’t mean Raydium tokens are safe. An 11% survival rate still means 89% died. But the base rate is dramatically better than fishing in the raw Pump.fun feed, where 99 out of 100 tokens won’t make it to next week.
What the Survivors Had in Common
Looking at the 27 survivors as a group, I pulled out the traits they shared. Some of these were obvious. Some surprised me.
- Safety fundamentals were locked down. 26 out of 27 had mint authority revoked. 24 had liquidity either locked or burned. These aren’t glamorous features — they’re hygiene. But tokens without them almost universally died.
- No single wallet held more than 8% of supply. The average top-holder concentration across survivors was 4.2%. Across the dead tokens, it was 23.7%. Whale concentration is one of the strongest predictive signals I found.
- They had real community activity within the first 6 hours. Not bot-generated “gm” messages — actual discussion, meme creation, people posting their buy screenshots. Community velocity in the first 6 hours was a better predictor of Day 7 survival than price performance.
- Most had a narrative or trend tie-in. A token about a trending meme, a current event, or an existing community. The ones with original concepts and no existing audience had a much harder time.
- Holder count grew consistently, not in spikes. Dead tokens often showed a single spike of holders (from a raid or shill push) followed by flatline. Survivors showed steady, organic growth — 10 new holders per hour, not 200 in one burst then zero.
What the Dead Tokens Had in Common
The patterns of failure were even clearer than the patterns of success.
- No liquidity lock: 91% of dead tokens had unlocked liquidity. The creator could pull everything at any moment — and in many cases, they did.
- Active mint authority: 76% of dead tokens still had mint authority enabled, meaning the creator could print unlimited new supply at will. Any memecoin screener worth using will flag this immediately.
- Top 5 wallets held 40%+ of supply: On average, the top 5 holders of dead tokens controlled 47% of the total supply. That’s a dump waiting to happen, and it usually did happen — within hours.
- Zero community infrastructure: No Telegram. No Twitter. No website. No Discord. Nothing. Just a token sitting on the blockchain with no one talking about it.
- Copied or generic names: A disproportionate number of dead tokens were slight variations of existing popular tokens. “BONK2,” “WIF INU,” “PEPE SOL.” No originality, no reason to exist.
What Surprised Me Most
Three things genuinely caught me off guard.
First, the speed of death. I expected most tokens to die, but I didn’t expect the median to be under 4 hours. When a memecoin dies, it usually happens fast. There’s a brief window where things could go either way, and then it tips. Once volume drops below a certain threshold, it rarely comes back. The death spiral — fewer buyers leads to falling price leads to more sellers leads to even fewer buyers — is brutally efficient.
Second, safety data was more predictive than price data. I assumed that early price performance would be the best indicator of survival. It wasn’t. A token’s safety profile at launch — mint authority, holder distribution, liquidity status — was a better predictor of whether it would be alive on Day 7 than its price movement on Day 1. A token that 3x’d on Day 1 with active mint authority and whale concentration was less likely to survive than a token that only did a modest 30% gain but had clean safety fundamentals.
This is the strongest argument I can make for using a solana memecoin tracker that includes safety analysis rather than one that only shows price charts. The information that keeps you out of trouble isn’t on the chart — it’s on-chain.
Third, the “valley of death” is Day 1-3, not Day 0-1. I assumed the first 24 hours would be the hardest. In terms of raw numbers, it is — that’s when the most tokens die. But proportionally, the most dangerous period is Day 1 to Day 3. Of the tokens alive at the 24-hour mark, 62% died in the next 48 hours. That’s the period where initial hype fades and the token has to sustain itself on fundamentals alone. Many can’t.
How This Changed the Way I Trade
I didn’t start this experiment to change my trading strategy. I started it because I was curious. But the data was too clear to ignore, and it shifted how I approach new solana tokens in three specific ways.
I filter by source now. I still browse the raw Pump.fun feed occasionally for entertainment, but I don’t trade from it. My active watchlist is almost entirely Raydium-graduated tokens. The survival rate difference — 11% vs. 1% — is too significant to ignore. I’d rather fish in a pond where 1 in 9 tokens lives than one where 1 in 100 does.
I check safety before price. Before this experiment, I’d look at the chart first and check safety second. Now it’s reversed. If mint authority is active, I skip it. If the top wallet holds more than 10%, I skip it. If liquidity isn’t locked, I skip it. These filters eliminate roughly 80% of tokens instantly, and the data says that 80% was going to die anyway.
I wait longer before buying. The data showed that waiting 6-12 hours after launch and checking whether a token still has growing holders and volume costs you some upside — you won’t catch the first 2x — but it eliminates the vast majority of rugs and dead tokens. The best memecoin tracker 2026 tools let you set alerts for tokens hitting certain holder or volume thresholds, so you don’t have to manually watch. I set mine and wait for the signal instead of chasing every new launch.
A thousand tokens. Seven days. Twenty-seven survivors. Eleven worth holding. The numbers aren’t pretty, but they’re real — and knowing them is the single biggest edge I’ve gained this year. If you want to replicate something similar, the best memecoin trackers will give you the same data I used. The tools exist. The question is whether you’re willing to look at the numbers honestly before you put money in.