Over time I realized that finding good memecoins isn’t really about charts, fancy indicators, or chasing whatever people are screaming about on X.
Most of the real momentum happens before any of that — in private groups, early call chats, and micro-communities that start pushing a token before it becomes visible to everyone else.

So I changed the way I search for new coins. Instead of refreshing Dexscreener for every new pair, I focus on how fast a token spreads through different communities.

Here’s the simple structure I follow now:

1. Find where the hype is starting, not where it’s already visible

Charts are lagging.
X is manipulated.
And most “alpha Twitter posts” appear after a coin already moved.

But Telegram groups?
That’s where the earliest signals appear.
If a token gets picked up by multiple call groups in a short window, that’s often the first real sign of life.

This is where Outlight fun became useful for me — it shows exactly how many groups mentioned a coin and lets me see that activity in real time. It’s not about price or TA — it’s just tracking how fast attention is spreading.

2. Compare hype speed, not hype volume

A coin mentioned 15 times in one group means nothing.
A coin mentioned 3 times across 10 different groups means everything.

Different groups = different audiences.
Different audiences = real momentum.

So now I check:

• how many groups mentioned the token
• how quickly new groups appear
• whether it’s small random groups or legit alpha channels

If the curve is rising fast → early momentum
If it’s flat → ignore it
If one huge group is carrying it → probably forced hype

3. Enter only if the story is still early

When I see a token hitting multiple groups fast, I compare:

• how early the chart still is (no parabolic candles)
• how spread out the mentions are
• whether the community actually reacts

This filter alone removed 90% of rugs I used to chase.
Most early rugs have hype that stays in one place — they don’t scale naturally.

Why this method works

Because memecoins are driven by attention, not fundamentals.
And attention travels through people, not charts.
If you track where people talk first — you’re ahead of everyone else looking at Dexscreener candles.

Outlight just makes this part easier since it collects all the call activity in one place instead of me scrolling through 50 chats manually.

Curious if anyone else uses a similar approach?

Or if you track hype in a different way?
I’m always interested in hearing how other people navigate the chaos.