Now in open beta

The Fandom Operating System for artists and creators.

One link to read your fandom, spot the opportunity, de-risk the move with simulated fans, and let 24/7 agents run the work — starting with more fans on your own social. When it’s time to monetize, the b.stage bridge turns it into a real fandom business, globally and instantly.

The name
fansm

Fan + Simulation — a fandom modeled in data. And in Korean, paen-sim (팬심 · 心) — a fan’s heart. Emotion and science, one word.

20+
fan attributes per agent
6
simulation types
4
AI engines
simulations
The loop

One link, from understanding to a business — a single loop.

01
One link
Add a channel. Onboarding is automatic.
02
Understand
Social, internal and external data, unified as your fandom right now.
03
Decide
Spot the opportunity and de-risk it with simulated fan agents.
04
Operate 24/7
Marketing, sales, market-trend and crisis agents run the work.
05
Monetize
The b.stage bridge turns it into a real fandom business — globally, instantly.
05 → 01 · Every launch feeds back as data — so the next read is sharper.
Your fandom
01One link
02Understand
03Decide
04Operate 24/7
05Monetize
Explore fandoms

Meet real fandoms — no account needed

Browse public fandom profiles built from real fan signals, chat with an AI fan who knows the fandom, and find out what kind of fan you are.

Public fandom profiles

Fan-voice themes, top posts and fan types for real fandoms — rebuilt from public signals.

Chat with a fan

Ask an AI fan persona what the fandom is buzzing about — grounded in real fan data.

Fan-type quiz

Six questions to find your fan archetype — share your result with your friends.

Built by bemyfriends

A decade of fandom expertise, distilled into AI

Fansim is built and operated by bemyfriends — the team that has run fandom businesses for 1,200+ artists and IPs, whose fandoms together reach 13M+ fans, over more than 10 years. That hands-on know-how, proprietary data and real campaign cases are distilled into Fansim’s models, so they understand the artist and the fan at the same time.

1,200+
artists & IPs
13M+
fans in those fandoms
10+ yrs
in fandom business
Artist + fan
understood together
Creator Studio

Learn from any fandom — in one click

Point Fansim at another artist or creator in your domain and, in a single click, learn from their fandom — who their fans are, what content lands, and where the business opportunities are. Knowing the channels and fandoms around you, and understanding the fandom you want to build, has never been this fast.

Fandom analysis

See how another channel’s fandom is composed — segments, affinities, desires and frustrations — modeled the same way as your own.

Content opportunities

Spot the content directions that resonate with their fans, so you can learn what works before you ever try it on yours.

Business opportunities

Uncover the revenue and partnership angles already proven in an adjacent fandom — one click, no guesswork.

Platform

A full Fandom Operating System

Synthetic fan agents

Turn segments into a population of statistically modeled fans, each with demographics, spending, affinity and churn signals.

Launch simulator

Run live A/B tests and watch each agent react in real time, with per-segment winners and revenue estimates.

Fandom radar

Channel intelligence grounded in real public data — including YouTube — with sentiment, desires and frustrations.

Focus groups

Qualitative, in-character reactions and 1:1 interviews with synthetic fans for the nuance numbers miss.

Outcome calibration

Record real results and feed them back so predictions sharpen against your fandom over time.

Copy optimizer

Generate, score and iterate messaging automatically until the winning variant emerges.

Knowledge base (RAG)

Ground every analysis in your own research, reports and brand guidelines via semantic retrieval.

Multi-engine AI

Choose Claude, Gemini, OpenAI or MiniMax — switch engines and model versions from the admin.

Synthetic fan agents

From segments to a living fan population

Turn segments into a population of statistically modeled fans, each with demographics, spending, affinity and churn signals.

Core collectors
High spend · low churn
45%
Casual streamers
Content-first · price-aware
32%
New fans
Discovery phase · high growth
23%
Sampled population150 agents · 20+ attributes
From insight to opportunity

Don’t just reduce risk — find the next opportunity

Analysis is the starting point. Fansim turns it into moves — content and business ideas grounded in your fandom, a read on competitor and target IPs, and a faster, evidence-backed path into the market. And when it’s time to monetize, the b.stage partner bridge turns that opportunity into a real fandom business — memberships, commerce, community and D2C — globally and instantly.

Content & business ideas

Surface concrete content directions and revenue ideas grounded in what your fandom actually responds to.

Competitor & target IPs

Analyze any rival or aspirational IP the same way — see how their fandom is built and what’s working for them.

Faster market entry

Validate a move on a modeled fandom before you commit, so you reach the market first — with evidence, not guesswork.

The b.stage bridge

From insight to a real fandom business — globally, instantly

B.STAGE BRIDGE B.STAGE BRIDGE
VALIDATED OPPORTUNITY
Photobook drop · Candidate A
Memberships
Recurring fan revenue
Commerce
Goods & drops, worldwide
Community
An owned fan home
D2C
Direct, no middlemen
Connect · MCP

Analyze your fandom from your own AI tools.

Fansim is an MCP server. Connect Claude, Cursor, or any MCP client and pull your fandom’s analyses — and even run simulations — right inside your AI workflow. No copy-paste, no context-switching.

In your AI, in plain languageConnect in secondsRun simulations, not just readsScoped, metered, in your control
Claude · Cursor
any MCP client
Fansim
MCP server
Summarize my fandom this week — and A/B test these two captions.
Core collectors are up 6% on the teaser. Caption A wins the test — 64% overall, strongest with new fans. VIA FANSIM MCP · READ-ONLY
Simulate

Six ways to simulate a decision

The validation engine — pressure-test an opportunity on a modeled fandom before you commit.

Every candidate is judged by individual agents — not an average.

CANDIDATE A
“Photobook drop — Friday 8 PM, members first”
500 AGENTSvoting live
CANDIDATE B
“Photobook drop — Sunday noon, open to all”
A64%
B36%
Core collectors · 71% A Casual streamers · 58% A New fans · 51% B
Winner: A · est. revenue +18%

Text

Copy, subject lines, announcements

Visual

Thumbnails, covers, photocards

Pricing

Tickets, goods, membership tiers

Timing

Best release & on-sale windows

Risk

Stress-test sensitive moves for backlash

Churn

Which win-back offer retains at-risk fans

Ask your fans

Put your questions to up to 1,000 virtual fans

Ask up to 1,000 virtual fans (agents) anything about your artist’s activities and get ahead of the response before you act — or sit down 1:1 with a single fan for focused, in-character analysis.

Synthetic focus group

Pose a question or plan to up to 1,000 fan agents and read the room — in-character reactions, stance, and a synthesis you can act on.

1:1 fan interview

Chat one-on-one with a single fan persona for deeper, focused insight into the “why” behind the numbers.

Workflow

How it works

1

Model your fandom

Add a fandom and let AI draft 3–5 fan segments with demographic and behavioral distributions.

2

Generate agents

Sample a synthetic fan population — hundreds of agents that genuinely reflect each segment.

3

Simulate & decide

A/B test your candidates, read per-segment results, and launch the winner with confidence.

Always current

Real-time external data, trend-matched analysis

Fansim continuously checks live public signals across channels and grounds every analysis in what’s happening right now — so recommendations stay in step with the trend, not last month’s snapshot.

YouTube · comeback teaser +2.4M viewsX · mention spike +18%Community · presale buzz risingNews · world tour announcementYouTube · shorts trend matchingYouTube · comeback teaser +2.4M viewsX · mention spike +18%Community · presale buzz risingNews · world tour announcementYouTube · shorts trend matching
Live signals
YouTube · X · Communities · News
bemyfriends engine
grounded in 10 years of fandom data
Trend-matched output
intelligence · simulations · strategy
Plans & referrals

Start from $20 — and earn tokens by inviting others

The new Standard plan starts at $20/mo with 2,000 monthly tokens and the full feature set. Every member can invite up to 10 people by email or with a personal invite code — when someone you invite subscribes to a paid plan, they get bonus tokens and so do you.

From $20
Standard · 2,000 tokens / month
+2,000
Bonus tokens for your invitee
+1,000
Bonus tokens for you
Now in open beta

Start with one link — now in open beta

Sign-ups are open — no invite needed. Create a free account in minutes; have an invite code? Enter it at sign-up and you’ll both receive bonus tokens.

Fansim — The Fandom Operating System