MEMESCPE
Every pump.fun graduation, tested before it's traded.
MEMESCOPE watches around 1,500 graduations a day, runs each strategy on paper against a fair comparison, and lets real money follow only what earns it.
The crew
Meet the MEMESCOPE team
Ten specialists, one per subsystem, and the founder at the graduation desk. Each is a desk you can open in HQ and watch working β the same characters, the same names, reading the same live evidence.
They are at their desks now, reading the same live evidence this page is.
Enter MEMESCOPE HQWhat runs here
A lab for pump.fun graduations, not a list of tips.
Most strategies tested here have not worked, and the lab keeps those results beside the ones that did. Real money only follows what has earned it.
Graduation Lab β
Every pump.fun graduation over the depth line is bought on paper by a set of rules at once, each beside a control it has to beat.
Karthik's Lab β
A $400 paper book, judged after 30 days.
Real wallet β
Real SOL follows a rule only once it has earned it, sells after five minutes, and can only ever withdraw to its owner.
HQ β
The office where each desk watches one part of the machine, live, and says what it sees.
The MEMESCOPE journey
Built through failure.
MEMESCOPE wasn't built because the first strategy worked.
It was built because most strategies didn't.
27 JUL 2026 β TODAY
- Commits
- β
- Merged PRs
- β
- Strategy experiments
- β
- Trades & observations
- β
27 JUL 2026
Project initialized
MEMESCOPE begins.
An idea to build an AI-powered memecoin research and scanning system capable of identifying opportunities while systematically measuring whether those signals actually have an edge.
Build
The scanner became a laboratory
MEMESCOPE evolved into a full research environment involving:
- Token discovery
- Market data
- Smart-money signals
- Liquidity analysis
- Risk analysis
- Graduation tracking
- Paper trading
- Strategy testing
- Execution infrastructure
First hard lesson
No strategy currently has adequate edge.
This was an important milestone. MEMESCOPE didn't hide the result.
It recorded it.FAILURE WAS DATA.
Strategy lab
Test. Reject. Learn. Repeat.
Multiple strategy families were tested with different:
- Entry conditions
- Market-cap ranges
- Liquidity conditions
- Take-profit structures
- Exit rules
- Position sizes
- Holding periods
- Dead-token handling
The objective was not to make a backtest look profitable.
The objective was to discover what survives testing.Current breakthrough
And then something finally started to work.
Early signal β not provenβ
Finished days
β / β
Wins / trades
β
Last finished day
After multiple failed strategies, one rule set began producing results worth investigating. But a few days is not enough to declare an edge proven.
Karthik's Lab, paper money Β· live
Paper β Real
β / β
Real-wallet wins today (Dubai)
Real execution is being compared against the laboratory assumptions, including fills and execution behavior.
REAL MONEY REMAINS LIMITED AND EXPERIMENTAL.
Research log Β· day by day
41 working days
- 27 SEP
Panda news TV, the $75k+ book, a size-by-pool grid, the 2-minute entry guard, USER 1β10 wallets, and this section.
- 26 SEP
The moon-landing intro, every pool size tested, and credits for Rafiq and Ashwin.
- 25 SEP
G-Q150, a big clean-up of labs that had failed, a talking crew, one trade at a time, and cartoon planets.
- 24 SEP
Daily rows in the lab, a new homepage and the space crew.
- 23 SEP
Karthikβs Lab starts: the quiet rule, judged on 23 October.
- 22 SEP
A 4-minute option, the $55β75k band, the B3 decision book, and Momentum run 2.
- 21 SEP
G-QUIET offered to the real wallet.
What we still don't know
- 01
Only a few days
The current rule is still very young.
- 02
The $75k threshold was discovered from the results
It wasn't a completely blind hypothesis. Future trades provide the cleaner test.
- 03
Zero rugs β zero risk
A single rug can materially affect a small sample.
- 04
Larger positions are unproven
$50 trades working does not automatically mean $200 trades will execute equally well.
- 05
Earlier strategies also looked good at first
Some previous strategies later failed. That is why the current one remains under validation.
A lot of dead ends.
MEMESCOPE wasn't built in a weekend. It was built through late nights, broken assumptions, failed strategies, infrastructure problems, bad data, backtests that didn't survive reality, and countless small improvements.
Every failed experiment removed one more possibility. The goal was never to make a chart look good. The goal was to find out what actually survives.
> experiments_failed: MANY
> shortcuts_taken: 0
> edge_proven: NOT_YET
> research_continues: TRUE
MEMESCOPE status
- Research phase
- ACTIVE
- Current strategy
- UNDER VALIDATION
- Real money
- LIMITED
- Edge
- UNPROVEN
- Next checkpoint
- β
We're not done.
One good week doesn't prove an edge.
One bad week doesn't kill the research.
MEMESCOPE keeps testing.
Because the objective isn't to find a strategy that looks good.
It's to find one that survives.














