Supply Distribution
Measures how concentrated token supply becomes among top holders in the earliest phase of the launch.
Sonarlis delivers real-time risk intelligence for newly deployed tokens, turning the first seconds of market activity into a clear, actionable risk score.
Sonarlis is built for one of the most asymmetric moments in crypto: the first seconds after a token goes live.
This is where the market is least transparent, most reactive, and most dangerous. Static contract analysis, reputation dashboards, and raw explorer data do not provide what serious participants need in that window: a fast, reliable read on live behavioral risk.
From the moment a token is deployed, Sonarlis monitors early on-chain activity, evaluates critical behavioral signals, and generates a composite risk score designed to help users assess the quality of the market before committing capital.
This is market intelligence, delivered in time to matter.
It was missing interpretation at speed.
Most failed launches do not fail without warning. They reveal themselves early through supply concentration, coordinated wallet activity, bot-led execution, repeated deployer patterns, and unsecured liquidity.
These signals have always existed on-chain. The problem is that they appear inside a time window too narrow for manual interpretation and too important to ignore. By the time risk becomes obvious to everyone else, the advantage is already gone.
Sonarlis translates fragmented launch behavior into immediate risk clarity.
When a new token is detected, Sonarlis activates a set of parallel analyzers, each focused on a distinct dimension of early market behavior.
We evaluate holder concentration, bot presence, accumulation velocity, deployer history, and liquidity status, then synthesize those signals into one composite Risk Score from 0 to 100.
Not a trade call. Not a recommendation. A disciplined view of risk.
Measures how concentrated token supply becomes among top holders in the earliest phase of the launch.
Detects automated activity through gas behavior, timing signatures, and same-block coordination.
Tracks how quickly major wallets accumulate meaningful positions after deployment.
Assesses deployer behavior across prior launches and checks whether liquidity is secured or exposed.
Every architectural decision behind Sonarlis is made around a single constraint: the score must arrive before the user needs to act.
Our system is modular, asynchronous, and calibrated for live conditions. Signals run independently. Slow components do not hold up delivery. New analyzers can be added without disrupting the core engine. Historical replay informs calibration before new logic reaches production.
The objective is decision-grade clarity, delivered while it still has value.
Each analyzer runs independently with strict timing expectations to preserve delivery speed.
If one signal arrives late, the pipeline still produces a usable score from the remaining analyzers.
New signals and new chains can be added without rewriting the scoring core.
Historical replay and validation shape scoring behavior before it reaches live users.
Sonarlis is currently available through Telegram while we continue refining the engine under production conditions. Access is open to a limited number of early users at no cost during this phase.
That will not remain the case. As Sonarlis matures, access will move to a paid model. Early users will be in the strongest position for long-term benefits, including preferential pricing and selected permanent access privileges.
Open access during the live refinement phase.
Telegram is the surface layer. Underneath it sits the core of what Sonarlis is becoming: a real-time intelligence system for launch markets, built to scale across chains, signals, and execution environments.
We are not building another dashboard for spectators. We are building infrastructure for participants who understand that in on-chain markets, timing is part of the product.