Browse guides by topic
Every platform has its own version of the same questions: how to scale, how to avoid bans, how to build a funnel that converts. Pick a topic below and compare approaches across Bumble, Tinder, IG, Reddit, and the rest.
Worth-it evaluation
Per-platform fit analysis: which models convert, realistic revenue, when to add vs when to skip. Read before committing infrastructure.
Account creation
Creating accounts at scale: phones, SMS providers, verification flow, email, device setup, the order that survives detection.
Warmup
48-hour warmup playbooks, what actions signal a real user, how long before posting, what ban-triggers to avoid in the first week.
Bans + shadowbans
Shadowban diagnosis, hard-ban recovery, the IG/Meta cascade, spam filters, rep appeals. The single most-asked operator question.
Buying accounts
Account marketplaces, aged-IG quality signals, how to vet sellers, what to pay, the 'log in and die' traps when you reuse bought accounts.
Funnel construction
End-to-end funnel design per platform: landing page, bio stack, DM flow, routing logic. The conversion layer most operators under-invest in.
Scaling operations
Mother-slave architecture, account density per phone/IP, scaling past 50 accounts, the ops load-shift from running accounts to running farms.
Unit economics
Per-account revenue, per-sub cost, LTV by platform, margin math. The numbers that decide whether a platform is worth scaling.
Automation + CupidBot
CupidBot setup per platform, swipe automation, mass-DM tooling, schedulers. Volume multipliers that either 10× your output or burn your farm.
Verification
Platform verification mechanics and bypasses — virtual cameras, face swap, photo spoofing, remote model handoff, the cat-and-mouse with Bumble/Tinder/Badoo.
Content strategy
Reels strategy, content repurposing, AI faceless, photo strategy, lives, pre-recorded content, format-per-platform. The creative layer.
Infrastructure
Proxy selection, iOS jailbreak stacks, AppCloner setup, anti-detect browsers, phones, VPS, app cloners. The plumbing under every farm.
Mass DM + outreach
Mass-DM strategy per platform, outreach flows, cold-DM scripts, rate limits, the detection patterns that throttle naive mass-messaging.
Team + hiring
The people layer of an OFM operation — hiring VAs and chatters, recruiting and compensating models, agency partnership structures. The shift from solo operator to team is where most OFM scaling stalls; these guides are the playbook.
OF revenue ops
The sales layer of an OF account — sub price optimization, PPV pricing + cadence, custom content workflow, mass-DM strategy, welcome PPV, tip-menu scripts, conversion benchmarks. The layer where OF revenue is actually produced.
OF platform mechanics
What's actually under the hood on OnlyFans — analytics dashboard, country restrictions, rebill / auto-renewal mechanics, fan-list organization, account security, AI content policy, CRM comparison (Infloww, Supercreator, the rest).
OF account safety
When things go wrong on OF — ban categories, restrictions, content-removal flags, appeal process, funds recovery, chargebacks, payout freezes, post-ban migration. The survival playbook.
Payments + banking
The money-movement layer — Paxum, Skrill/Cosmo LatAm, Wise + Revolut, P2P apps (CashApp/Zelle/Venmo), crypto withdrawals, country-specific payouts, operator-controlled model banking. How OF funds actually move.
Business setup
Going from operator to business — OFM terminology, first 30 days, incorporation decisions, US LLC setup, non-resident options, international jurisdictions, business banking, tax optimization, education resources. Everything outside the platform.
Content production
The input side of an OFM operation — content volume and cadence, planning, viral trends, shooting logistics, managing lazy models, AI-augmented content, faceswap, AI persona workflows, NSFW AI alternatives. Where the media actually gets made.
Alt creator platforms
Beyond OnlyFans — Fanvue, Fansly, MYM deep-dives, OF-ban pivot playbooks, multi-platform ops, AI rules on alt platforms, alt-platform CRM tooling. The diversification layer most scaled operators run.