Multi-accounting at scale with Afina

Run hundreds of accounts on one machine. Each one looks like a separate real device — its own fingerprint, proxy, cookies — so platforms can never link them. Start with isolated profiles, scale with bulk actions and queues.

Hundreds of accounts • One workspace

Stop juggling devices, browsers and tabs

Multi-accounting fails when accounts share traces. Afina ships per-profile fingerprint management, dedicated proxies and isolated storage out of the box — so a hundred accounts behave like a hundred different people without you babysitting them.

Unlimited isolated accounts

Run dozens to hundreds in parallel. Each account is a fully isolated profile — no shared cookies, no shared fingerprint, no shared local storage.

Profile isolation by design

Afina isolates cookies, storage, cache, IndexedDB, service workers and all browser state per profile. Platforms can't link accounts through anything except your behavior.

Bulk actions and queues

Select 50 profiles, start them all, run a script across the batch, watch live logs per profile. The same primitives that power RPA automation.

Scale across team and platforms

Share profiles, groups and tags with teammates via team workspace. The local desktop app handles thousands; the API drives them programmatically.

FAQs

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Dozens to low hundreds depending on RAM. A typical M2 / 16 GB machine comfortably runs 20–40 active browsers. Headless mode and idle profiles cost almost nothing.

Per-profile isolation of cookies/storage/cache/IndexedDB + a unique real-device fingerprint + a dedicated proxy. Behavioral linking (logging into the same email everywhere) still requires discipline — Afina cannot fix that for you.

Yes, but the more accounts share a proxy the more correlated they look. Afina lets you assign per-profile or per-group proxies and bulk-checks proxy health. Sticky residential / mobile proxies work best for tight clusters.

Bulk start/stop, bulk script runs, bulk tag changes and bulk task scheduling are all transactional in the backend. Failed operations report per-profile so a single bad account never poisons the rest of the batch.

Yes — account groups + team UUIDs let you grant teammates access to specific profiles. Permission scope is per-group, not per-user, so onboarding new ops staff is one tag change.

Optional. Profiles are local by default; you opt in to syncing them to the Afina cloud per profile or per group, which is what lets a team or your other machines pick them up.

Run hundreds of accounts without leaving your desk

Spin up isolated profiles, attach proxies, set up bulk runs and watch them go.

Multi-accounting in Afina means hundreds of accounts on one machine, each looking like a separate real device. The antidetect browser ships per-profile fingerprints, dedicated proxies, and isolated cookies out of the box — so platforms cannot link your accounts, no matter how aggressive the anti-fraud.

Chrome's incognito and "user profiles" share the host fingerprint and TLS stack. Extensions that promise multi-account help still inject into the same browser instance. Anti-fraud teams (Meta, TikTok, Google, banks, marketplaces) look exactly at the cross-account signals these tools can't hide — WebGL renderer, ClientRects, TLS JA3, IndexedDB residue. Once linked, the whole portfolio falls together.

What multi-accounting in Afina looks like

1. Unlimited isolated accounts

Run dozens to hundreds in parallel. Each account is a fully isolated browser profile — no shared cookies, no shared fingerprint, no shared local storage. RAM is the only ceiling.

2. Profile isolation by design

Afina isolates cookies, storage, cache, IndexedDB, service workers and every browser-state primitive per profile. The only thing that can link your accounts is your own behaviour (logging in with overlapping emails or payment methods) — and that is on you, not the tool.

3. Bulk actions and queues

Select 50 profiles, start them all, run a script across the batch, stream per-profile logs. The same primitives that power RPA automation. Failed operations report per-profile so a single bad account never poisons the rest.

4. Scale across team and platforms

Share profiles, groups and tags with teammates via the team workspace. The desktop app handles thousands; the local API drives them programmatically; MCP lets AI agents orchestrate runs.

5. Real fingerprints, not generated noise

Every profile carries a complete fingerprint of an actual macOS / Windows machine drawn from an upstream catalogue. WebGL renderer, AudioContext, ClientRects, font enumeration, hardware concurrency — all consistent, because they come from one real device, not a random walk over properties.

Where teams run multi-accounting

Affiliate teams scale ad accounts across Meta, TikTok and Google without burning portfolios. SMM agencies post and warm community accounts from a single rig. Airdrop hunters separate wallets so Sybil-detection clusters can't cross-link them. Affiliate marketers, bonus hunters and e-commerce sellers all run the same multi-accounting pattern — Afina is the substrate.