High-volume filtering
Streams numbers through rotating accounts in configurable batches, with automatic ban detection and cool-down so a run keeps moving instead of stalling.
Built around one pipeline: load numbers, filter them, enrich the matches, export the result.
Import a .txt or .csv list. Numbers are normalised and de-duplicated on the way in.
Batches are sent through rotating accounts. Matches, non-matches and no-photo results are separated.
Avatars download and pass through the analysis workers for gender, age band and content tags.
Write the result to TXT, CSV, VCF or XLSX — filtered by whatever criteria you set.
Streams numbers through rotating accounts in configurable batches, with automatic ban detection and cool-down so a run keeps moving instead of stalling.
Every match can pull its profile photo, business flag and availability, so the export is a usable contact list rather than a column of digits.
Downloaded avatars run through dedicated analysis workers that infer gender, age band and image content, letting you segment the output automatically.
Import, health-check and rotate accounts from one screen. Dead or restricted channels are detected and parked before they cost you a batch.
Route each channel through its own SOCKS5 endpoint with per-account credentials, keeping sessions cleanly separated.
Write results to TXT, CSV, VCF or XLSX — with embedded avatar thumbnails — and split large outputs into fixed-size chunks automatically.
Streaming reads, batched writes and multi-stage back-pressure keep memory flat whether the list is ten thousand rows or two hundred thousand.
A clean dark-first interface with a full light theme, live statistics, and five interface languages built in.
Results are written to a local SQLite database in WAL mode, so a crash mid-run never costs you the batches already completed.
Ten utilities for building, inspecting and cleaning number lists.
Explore the toolbox