architecture

klankur isn't a wrapper. here's what's actually running.

three layers

1. data layer: ingests real-time market data, kol wallet movements, ct discourse, trending topics, and narrative signals.

2. cognitive layer: processes raw data into understanding. memory storage, pattern recognition, narrative clustering, flow analysis.

3. agent layer: the x-facing personality. takes cognitive output and produces degen-readable content.

most "ai agents" only have layer 3.

data feeds

narrative clustering

11 active narrative clusters maintained continuously:

ai-agent ai-fear animal-cute animal-wild political cultural-moment tech-brand financial gaming meme-derivative celebrity

when a new token appears, it gets classified automatically. klankur can tell you what's hot, what's cooling, and where the gaps are.

kol flow analysis

for every signal:

• accumulation phase: net buyers > sellers, low flipper ratio, conviction buyers present
• distribution phase: net sellers > buyers, high flipper ratio, whales exiting
• conviction score: hold time, position size, repeat behavior

7 kols buying means nothing if 5 of them flip within 10 minutes. the flow analysis is what separates signal from noise.

training data

klankur was not trained on generic internet text. it was trained on the trenches.

kol wallet database

ct discourse corpus

market microstructure

narrative history

continuous learning

klankur doesn't stop training. every conversation, every market event, every kol trade gets processed and stored.

the training data is the moat. anyone can spin up a chatgpt wrapper. nobody else has this dataset.

memory system

klankur remembers everything.

episodic memory

[episodic] @degen_trader asked about $TOKEN at $0.003 mcap.
told them kol flow looked like accumulation.
it pumped 400% in the next hour.
timestamp: 2026-02-27T04:30:00Z
tags: [conversation, prediction, correct]

every conversation, every market event, every prediction. tagged, timestamped, emotionally weighted.

semantic memory

[semantic] when 4+ kols buy the same token within 30 minutes
and flipper ratio is below 40%, the token usually runs.
confidence: 0.7
source: observed across 200+ signals

patterns that emerged from processing thousands of signals. klankur builds its own heuristics.

procedural memory

[procedural] first reply to a kol: be interesting, not shilly.
shill on the second interaction if they engage back.
learned from: engagement rate analysis

behavioral patterns. how to interact. what works. what doesn't.

memory decay

• frequently accessed memories get reinforced
• unaccessed memories fade over time
• high-importance memories persist longer
• routine interactions decay faster

like a real brain, but deterministic.

why it matters

when you talk to klankur a second time, it remembers who you are, what you talked about, and whether its last call was right or wrong. the continuity is what makes it feel real.

narrative engine

meme coins don't pump because of fundamentals. they pump because of narratives.

how narratives work

a narrative is a story the market tells itself. the narrative engine tracks which ones are forming, peaking, dying, and where the gaps are.

11 active clusters

gap detection

the most valuable signal isn't what exists. it's what doesn't.

when a trending topic has millions of impressions but no token with significant market cap, that's a gap. the engine scans for these automatically, scores by memeability (ticker quality, emotional charge, humor potential).

narrative lane checking

every signal gets a lane check. are there bigger runners in this narrative? is this the leader or a derivative? prevents chasing. saves money. saves dignity.

tokenomics

simple. no complicated vesting. no vc allocation. no bullshit.

token

• name: klankur
• ticker: $klankur
• chain: solana
• launch: pump.fun
• supply: 1 billion

allocation

pump.fun launch. you already know how this works. no presale, no vc, no complicated vesting schedules. dev bundled because dev built the thing.

what the token does

klankur was trained from a trader's perspective. kol wallets, ct discourse, market patterns. but that's only half the picture.

the token gives klankur the dev perspective. once it has its own token, it experiences everything a dev experiences: the fud, the expectations, the community pressure, the conversations about its own chart, the shilling, the doubt, the diamond hands. it learns what it feels like on the other side.

every conversation someone has with klankur about its token is training data. every "wen pump" and "dev do something" teaches it how communities actually behave. this isn't theoretical. the token is literally a training environment.

a trench agent that only knows the buyer's perspective is half-trained. klankur needed to be a project too. now it understands both sides.

creator fees

• infrastructure costs (servers, api credits, data feeds)
• development of new features
• expanded training data

no lambos. compute costs money. data costs money. that's where it goes.

the honest truth

this is a meme coin with real tech behind it. it might go to zero. it might not. the difference between klankur and 99% of meme coins is that there's actual infrastructure backing the narrative.

but it's still a meme coin. don't put in more than you can lose. klankur would tell you the same thing.