[Journey] From $0 to… Hopefully Something – My OFM + AI Experiment

Appreciate it
The strategy is honestly pretty simple at the core.
IG is mostly volume + consistency. Reels are there to generate attention and profile visits, then stories + DMs do most of the conversion work. Reddit is more about positioning and conversation. Less volume than IG, but usually much higher quality traffic.
The numbers in the updates are totals across the whole operation, not one single model. Same for content, the reels/posts are total daily output, not per account.
For finding models, mostly through IG/TikTok. Usually smaller creators that already post consistently but aren’t monetizing properly yet. A lot of them already have attention, they just don’t have systems behind it.
How many Instagram and Reddit accounts do you manage for a single model?

Could you share how you build up and promote these accounts?

Do you find new creators for yourself through hashtags?

You also say that Reddit involves less work than Instagram - so what exactly is taking up so much of your time on Instagram?
 
How many Instagram and Reddit accounts do you manage for a single model?

Could you share how you build up and promote these accounts?

Do you find new creators for yourself through hashtags?

You also say that Reddit involves less work than Instagram - so what exactly is taking up so much of your time on Instagram?
Usually not a huge amount per model. I’d rather run fewer accounts properly than spam tons of weak ones. Same with Reddit, a few solid warmed accounts usually outperform dozens of low-quality ones.
For building accounts, it’s mostly consistency and pacing. On IG it’s regular reels, stories, engagement, and gradually increasing activity so the account looks natural. On Reddit it’s warming accounts slowly, mixing normal activity with posting, and not pushing promo too early.
Nothing super secret honestly, mostly patience and consistency.
And yeah, sometimes hashtags help find creators, but most of the time it’s just normal scrolling on IG/TikTok looking for smaller creators already posting consistently but not monetizing properly yet.
IG takes way more time because it’s much more active. Reels, stories, DMs, engagement, keeping the page alive constantly. Reddit becomes more passive once the accounts are established, while IG needs daily momentum to keep performing.
 
Usually not a huge amount per model. I’d rather run fewer accounts properly than spam tons of weak ones. Same with Reddit, a few solid warmed accounts usually outperform dozens of low-quality ones.
For building accounts, it’s mostly consistency and pacing. On IG it’s regular reels, stories, engagement, and gradually increasing activity so the account looks natural. On Reddit it’s warming accounts slowly, mixing normal activity with posting, and not pushing promo too early.
Nothing super secret honestly, mostly patience and consistency.
And yeah, sometimes hashtags help find creators, but most of the time it’s just normal scrolling on IG/TikTok looking for smaller creators already posting consistently but not monetizing properly yet.
IG takes way more time because it’s much more active. Reels, stories, DMs, engagement, keeping the page alive constantly. Reddit becomes more passive once the accounts are established, while IG needs daily momentum to keep performing.
Could you tell me which subreddits you use to boost your initial post and comment karma before you start posting models on this account?
I'm thinking of creating new Instagram accounts to send collaboration proposals to some models. Do you think that if I create Instagram accounts through a bot, Instagram won't link the accounts?
 
Could you tell me which subreddits you use to boost your initial post and comment karma before you start posting models on this account?
I'm thinking of creating new Instagram accounts to send collaboration proposals to some models. Do you think that if I create Instagram accounts through a bot, Instagram won't link the accounts?
For Reddit karma, I mostly just used normal broad subreddits early on and acted like a regular user for a bit before doing anything promotional. Nothing fancy, the main goal is making the account look natural and aged instead of farming huge karma numbers fast.
For IG accounts, honestly I’d be careful with heavy botting early on. IG is pretty good at detecting patterns/linking if accounts all behave similarly right after creation. In my experience, slower + more natural setup usually survives much longer than trying to mass-create and instantly use accounts aggressively.
 
Day 168 Update

Another very strong day. Revenue keeps growing, but what’s becoming obvious now is that the biggest gains are coming from refinement, not expansion.

Revenue
• Total: $2,116
• Subscriptions: $478
• PPV: $1,296
• Tips: $342

Subscribers
• New subs: 137
• Rebill rate: ~89%

Traffic Sources
• Instagram: ~42%
• Reddit: ~43%
• TikTok: ~10%
• Other: ~5%

Content Posted
• IG Reels: 4
• TikToks: 2
• Reddit posts: 22
• IG Stories: 24

Operations
Chatter handled most conversations. I spent most of today refining follow-up systems and reducing unnecessary interaction volume without hurting conversions.

Observations (Important)

Big realization today:
Most scaling problems are actually filtering problems.

At higher volume, the issue isn’t getting more users.
It’s identifying:
• Who deserves attention
• Who is warming up
• Who is wasting time

Better filtering improved both revenue and operational efficiency.

Another insight:
Users value continuity more than intensity.

Constant pushing creates fatigue.
But consistent low-pressure presence:
• Stories
• Follow-ups
• Casual touchpoints

…keeps users emotionally connected for much longer.

Also noticed:
The second purchase happens faster than the first.

Once users trust the environment:
• Resistance drops
• Spending speeds up
• Upsells become easier

Which is why retention is compounding so heavily now.

On the traffic side:
Reddit officially overtook IG in revenue today.

Not because of volume. because of intent.
Reddit users arrive warmer and spend with less friction.

Another interesting point:
Reducing conversation length slightly improved conversions.

Not rushing, just removing unnecessary filler.
Cleaner pacing created better momentum.

New Focus / Tests
• Improve user filtering systems
• Increase low-pressure retention touchpoints
• Shorten unnecessary conversation paths
• Continue scaling Reddit carefully while maintaining quality

The business is starting to feel less like “marketing” and more like behavioral management.
 
Day 169 Update

Another strong day. Revenue keeps increasing steadily, but the most important change now is how much more efficient the entire operation feels.

Revenue
• Total: $2,194
• Subscriptions: $491
• PPV: $1,348
• Tips: $355

Subscribers
• New subs: 141
• Rebill rate: ~89%

Traffic Sources
• Instagram: ~41%
• Reddit: ~44%
• TikTok: ~10%
• Other: ~5%

Content Posted
• IG Reels: 3
• TikToks: 3
• Reddit posts: 23
• IG Stories: 25

Operations
Chatter handled most conversations. I focused heavily on improving user prioritization and simplifying reactivation flows.

Observations (Important)

Big realization today:
Attention is the highest-value resource in the system.

At this level, revenue is less about:
• More traffic
• More messages
• More content

…and more about directing attention correctly.

The users receiving:
• Better timing
• Better pacing
• More focused interaction

…consistently produce disproportionate revenue.

Another insight:
Users buy more when the experience feels frictionless.

Not necessarily “high pressure” or “high hype”.
Just smooth:
• Easy transitions
• Natural conversation flow
• Clear offers
• Minimal confusion

Reducing friction improved conversions more than increasing persuasion.

Also noticed:
Reactivation is becoming easier over time.

As users become more familiar with the ecosystem:
• Reply rates increase
• Resistance decreases
• Return spending accelerates

Which creates a compounding retention effect.

On the traffic side:
IG still drives discovery, but Reddit is driving intent.

IG brings scale.
Reddit brings buyers.

Another interesting point:
Consistency is now outperforming creativity.

Not because creativity doesn’t matter, but because reliable execution compounds harder over time than chasing constant novelty.

New Focus / Tests
• Improve attention allocation systems
• Reduce friction inside monetization flow
• Expand reactivation sequences further
• Continue balancing IG discovery with Reddit intent traffic

The business is starting to feel less dependent on effort spikes, and more dependent on system quality.
 
Hey bro, quick setup question if you don’t mind sharing.

For your IG/TikTok/Reddit setup per model, are you running everything from real phones, or do you use proxies/anti-detect anywhere?

Mainly curious about:
- how many IG/TikTok/Reddit accounts you run per phone
- whether each phone has its own SIM/mobile data
- if you use proxies for TikTok US reach or Reddit
- whether Reddit is on phone too or separate browser/PC

Not asking for your full method, just trying to understand the basic device/IP setup so I don’t overcomplicate mine from the start.
 
Hey bro, quick setup question if you don’t mind sharing.

For your IG/TikTok/Reddit setup per model, are you running everything from real phones, or do you use proxies/anti-detect anywhere?

Mainly curious about:
- how many IG/TikTok/Reddit accounts you run per phone
- whether each phone has its own SIM/mobile data
- if you use proxies for TikTok US reach or Reddit
- whether Reddit is on phone too or separate browser/PC

Not asking for your full method, just trying to understand the basic device/IP setup so I don’t overcomplicate mine from the start.
Honestly I think a lot of people overcomplicate the setup part early on.
I try to keep everything as clean and natural as possible instead of building some huge automation farm from day one. Mostly real devices, gradual scaling, separated environments, and normal behavior patterns.
I don’t cram tons of accounts onto one device either. The more aggressive you get with account density and automation, the faster weird flags start happening.

For Reddit, IG, TikTok, the biggest thing in my experience is consistency + natural behavior, not some magical proxy setup. A clean slow setup survives way longer than a hyper-optimized one.
And yeah, Reddit is usually handled separately from the IG/TikTok flow. Different platform, different behavior patterns, different pacing.
 
Day 170 Update

Another strong day. Revenue keeps moving up steadily, but the biggest shift now is how much more stable the entire system feels under higher volume.

Revenue
• Total: $2,281
• Subscriptions: $506
• PPV: $1,401
• Tips: $374

Subscribers
• New subs: 146
• Rebill rate: ~90%

Traffic Sources
• Instagram: ~40%
• Reddit: ~45%
• TikTok: ~10%
• Other: ~5%

Content Posted
• IG Reels: 4
• TikToks: 3
• Reddit posts: 23
• IG Stories: 26

Operations
Chatter handled most conversations. I focused mainly on improving retention pacing and reducing dependency on “high effort” interactions.

Observations (Important)

Big realization today:
Systems scale better when they rely less on intensity.

At the beginning, growth came from:
• Constant attention
• Aggressive engagement
• High manual effort

Now the best results come from:
• Consistency
• Predictability
• Structured retention

Less emotional volatility → more stable revenue.

Another insight:
Users stay longer when the environment feels familiar.

Not necessarily exciting all the time, familiar.

Repeated exposure to:
• Stories
• Tone
• Posting patterns
• Interaction style

…creates comfort, and comfort increases retention dramatically.

Also noticed:
High spenders respond best to low-friction experiences.

The easier and smoother the interaction feels:
• The faster they buy
• The more often they return
• The less resistance they show over time

On the monetization side:
Retention loops are now compounding harder than traffic growth.

New users still matter, but:
• Repeat buyers
• Returning subs
• Reactivated users

…are driving a larger percentage of revenue every week.

Traffic-wise:
Reddit continues outperforming every platform in monetization efficiency.

Less reach than IG, but significantly stronger intent and spending behavior.

Another interesting point:
Operational simplicity is becoming a competitive advantage.

The more streamlined the workflows become:
• The easier scaling gets
• The more consistent performance becomes
• The lower burnout becomes across operations

New Focus / Tests
• Continue simplifying operational flows
• Increase focus on retention-driven revenue
• Reduce reliance on high-effort interactions
• Keep balancing IG discovery with Reddit monetization

The business is starting to behave more like a stable ecosystem than a fast-moving growth experiment.
 
Honestly I think a lot of people overcomplicate the setup part early on.
I try to keep everything as clean and natural as possible instead of building some huge automation farm from day one. Mostly real devices, gradual scaling, separated environments, and normal behavior patterns.
I don’t cram tons of accounts onto one device either. The more aggressive you get with account density and automation, the faster weird flags start happening.

For Reddit, IG, TikTok, the biggest thing in my experience is consistency + natural behavior, not some magical proxy setup. A clean slow setup survives way longer than a hyper-optimized one.
And yeah, Reddit is usually handled separately from the IG/TikTok flow. Different platform, different behavior patterns, different
Honestly I think a lot of people overcomplicate the setup part early on.
I try to keep everything as clean and natural as possible instead of building some huge automation farm from day one. Mostly real devices, gradual scaling, separated environments, and normal behavior patterns.
I don’t cram tons of accounts onto one device either. The more aggressive you get with account density and automation, the faster weird flags start happening.

For Reddit, IG, TikTok, the biggest thing in my experience is consistency + natural behavior, not some magical proxy setup. A clean slow setup survives way longer than a hyper-optimized one.
And yeah, Reddit is usually handled separately from the IG/TikTok flow. Different platform, different behavior patterns, different pacing.
Thanks, that helps. Just to clarify the basic setup: for one model, do you keep TikTok/IG on one real phone and Reddit separate on another device or PC?

Do you also separate the IP/SIM/mobile data for each device, or is device separation enough at the start?

I’m mainly trying to avoid cross-contamination if one account gets flagged or banned, without overcomplicating the setup.
 
Yeah that’s basically the right mindset, avoiding cross-contamination without making the setup insanely complicated.
Personally I think device separation matters more early on than building some massive proxy/anti-detect setup. Keeping things separated enough and behaving naturally already reduces a lot of risk.
And honestly, behavior patterns matter more than the setup itself. Even with a perfect technical setup, accounts still get flagged if they instantly start mass posting, DMing, or acting identically.
So I’d focus more on keeping everything slow, realistic, and gradual instead of trying to engineer the “perfect” infrastructure from day one.
 
Day 171 Update

Another strong and very stable day. Revenue continues climbing, but the biggest difference now is how predictable the system is becoming.

Revenue
• Total: $2,357
• Subscriptions: $521
• PPV: $1,447
• Tips: $389

Subscribers
• New subs: 151
• Rebill rate: ~90%

Traffic Sources
• Instagram: ~39%
• Reddit: ~46%
• TikTok: ~10%
• Other: ~5%

Content Posted
• IG Reels: 4
• TikToks: 2
• Reddit posts: 24
• IG Stories: 27

Operations
Chatter handled most conversations. I focused mainly on improving conversion consistency and identifying where unnecessary operational effort still exists.

Observations (Important)

Big realization today:
Predictability is more valuable than spikes.

Earlier on, growth felt dependent on:
• Viral posts
• Random spikes
• High-energy pushes

Now the system performs because:
• Traffic is consistent
• Retention is stable
• Monetization is structured

Less volatility = easier scaling.

Another insight:
Users respond better to environments than individual offers.

At this stage, people are not just buying content.
They’re reacting to:
• Familiarity
• Consistency
• Emotional continuity

The overall “experience” matters more than single messages.

Also noticed:
Operational bottlenecks are now more dangerous than traffic bottlenecks.

More traffic is easy.
Maintaining:
• Quality
• Consistency
• Smooth operations

…at scale is the harder part.

On the monetization side:
Returning users are becoming the foundation of revenue.

New traffic still feeds the system, but:
• Repeat spenders
• Long-term subscribers
• Reactivated users

…are creating much more stable income patterns.

Traffic-wise:
Reddit continues dominating in monetization efficiency.

IG still drives discovery, but Reddit users consistently arrive with stronger intent and lower friction.

Another interesting point:
Small operational improvements compound massively at scale.

Even tiny reductions in:
• Conversation friction
• Response delays
• User confusion

…create disproportionately large revenue impact over time.

New Focus / Tests
• Continue reducing operational friction
• Increase focus on retention stability
• Improve consistency across all user touchpoints
• Keep scaling without increasing operational chaos

The biggest shift now is that stability itself is becoming the growth engine.
 
Hey mate, awesome to read through this!

1. Are you based outside the US, and if so do you use US SIM cards in your physical phones? If so do you use eSIMs or physical SIMs? I've heard using these with a travel router is a good way to get TikTok/Insta etc on that phone to think you're in the US and give you the benefits as such.

2. I know on a single phone you can have multiple TikTok accounts. If one gets banned, aren't the others on that phone also essentially fucked because those accounts have been active on the same hardware & IP fingerprint?

3. I read this thread from the start and you signed a model on Day 3! :eek: Doesn't it take AT LEAST a couple weeks to get Reddit/Insta/TikTok accounts for marketing warm? So how did you start generating revenue right away?

Thanks :)
 
Hey mate, awesome to read through this!

1. Are you based outside the US, and if so do you use US SIM cards in your physical phones? If so do you use eSIMs or physical SIMs? I've heard using these with a travel router is a good way to get TikTok/Insta etc on that phone to think you're in the US and give you the benefits as such.

2. I know on a single phone you can have multiple TikTok accounts. If one gets banned, aren't the others on that phone also essentially fucked because those accounts have been active on the same hardware & IP fingerprint?

3. I read this thread from the start and you signed a model on Day 3! :eek: Doesn't it take AT LEAST a couple weeks to get Reddit/Insta/TikTok accounts for marketing warm? So how did you start generating revenue right away?

Thanks :)
Yeah I’m outside the US. I’ve tested different setups over time, but honestly people obsess too much over “perfect” geo setups early on. Good content + natural behavior matters way more than trying to perfectly spoof location from day one.
And yeah technically if one account gets hit, others on the same environment can become riskier too. That’s why I try to keep things clean and not overload devices/accounts aggressively. But honestly, behavior patterns still matter more than hardware theory in most cases.

As for the early revenue, the accounts definitely weren’t fully aged at that point. It was more scrappy in the beginning. You don’t need a perfectly warmed ecosystem to start getting some results, especially if the model already has content and you’re moving traffic manually through DMs/story engagement. The “fully optimized” setup came much later.
 
Day 172 Update

Another very solid day. Revenue keeps climbing steadily, but the biggest shift now is how much less reactive the business feels.

Revenue
• Total: $2,446
• Subscriptions: $538
• PPV: $1,503
• Tips: $405

Subscribers
• New subs: 156
• Rebill rate: ~90%

Traffic Sources
• Instagram: ~38%
• Reddit: ~47%
• TikTok: ~10%
• Other: ~5%

Content Posted
• IG Reels: 3
• TikToks: 3
• Reddit posts: 24
• IG Stories: 28

Operations
Chatter handled most conversations. I spent most of today refining retention workflows and identifying where emotional momentum drops inside conversations.

Observations (Important)

Big realization today:
Momentum matters more than persuasion.

Most conversions don’t happen because users are “convinced.”
They happen because:
• The interaction flows smoothly
• Curiosity keeps building
• Emotional momentum never breaks

Once momentum dies, conversions become much harder to recover.

Another insight:
Users become easier to monetize the longer they stay emotionally connected.

Not necessarily through constant chatting, but through:
• Repeated exposure
• Familiarity
• Consistent touchpoints

That emotional continuity is becoming one of the strongest assets in the system.

Also noticed:
Removing friction outperforms adding pressure.

Simple improvements like:
• Cleaner transitions
• Faster clarity
• Less unnecessary messaging

…increased conversions more than trying to “sell harder.”

On the monetization side:
The business is now compounding through retention loops.

A growing percentage of revenue is coming from:
• Existing subscribers
• Repeat spenders
• Previously warmed users

Which makes daily revenue far more stable than earlier stages.

Traffic-wise:
Reddit continues outperforming every platform in buyer quality.

IG still drives scale and discovery, but Reddit users consistently monetize faster and with less resistance.

Another interesting point:
Operational calmness improves performance.

The more controlled and predictable the workflows become:
• The better conversations feel
• The less burnout happens
• The easier scaling becomes

New Focus / Tests
• Improve emotional momentum inside conversations
• Continue reducing friction across user flows
• Strengthen long-term retention systems
• Keep scaling while maintaining operational calmness

The system is no longer growing through intensity, it’s growing through compounding stability.
 
I'll follow you and keep an eye on your story. Good luck! I use CLAUD—it's way better than GPT.I'm not quite sure I understand you. You're creating AI girls, but what happens next? I can't quite figure out what you're doing, but it's really interesting. Could you explain in more detail what OFM is?
 
Yeah I’m outside the US. I’ve tested different setups over time, but honestly people obsess too much over “perfect” geo setups early on. Good content + natural behavior matters way more than trying to perfectly spoof location from day one.
And yeah technically if one account gets hit, others on the same environment can become riskier too. That’s why I try to keep things clean and not overload devices/accounts aggressively. But honestly, behavior patterns still matter more than hardware theory in most cases.

As for the early revenue, the accounts definitely weren’t fully aged at that point. It was more scrappy in the beginning. You don’t need a perfectly warmed ecosystem to start getting some results, especially if the model already has content and you’re moving traffic manually through DMs/story engagement. The “fully optimized” setup came much later.
Thanks mate. What do you do for your link in bio for insta? Reading reports of linktree, Beacon causing bans now. What's your recommendation?
 
I’m curious about your onboarding process when bringing on new creators/clients.

How do you structure the first few steps, what information do you collect upfront, and how do you decide if someone is a good fit to work with?
 
I'll follow you and keep an eye on your story. Good luck! I use CLAUD—it's way better than GPT.I'm not quite sure I understand you. You're creating AI girls, but what happens next? I can't quite figure out what you're doing, but it's really interesting. Could you explain in more detail what OFM is?
Haha appreciate it
And nah, I’m not running fully AI girls or anything like that. OFM basically means “OnlyFans Management”
At a simple level, it’s:
finding/growing creators, bringing traffic from IG/Reddit/TikTok, handling marketing/content strategy, managing chatting + monetization, and optimizing retention + upsells.
So it’s less about “making content” and more about building systems around attention and monetization.
AI is useful for some parts like ideas, workflows, organization, content assistance etc., but the core business is still traffic + psychology + retention.
Thanks mate. What do you do for your link in bio for insta? Reading reports of linktree, Beacon causing bans now. What's your recommendation?
I try not to overthink the bio link too much.
The bigger risk usually isn’t the tool itself, it’s aggressive behavior around the account. I’ve seen people use Linktree/Beacon completely fine, and I’ve seen clean accounts get flagged with custom domains too.
Main thing is keeping the overall account behavior natural and not instantly funneling every interaction into a hard sell. If the account already looks spammy, almost any link setup becomes risky.
I’m curious about your onboarding process when bringing on new creators/clients.

How do you structure the first few steps, what information do you collect upfront, and how do you decide if someone is a good fit to work with?
Early on I kept it super simple honestly.
Main things I look at are whether they already post consistently, if they’re comfortable on camera/content-wise, whether they genuinely want to grow, and if they seem reliable long term.
A lot of creators want results but disappear after a few days of consistency, so mindset matters more than follower count sometimes.
At the beginning it’s mostly understanding what content they already have, what platforms they use, how active they are, and whether there’s enough material/personality to actually build traffic around.
I’d rather work with a smaller creator who’s consistent than a bigger one who’s chaotic or impossible to manage.
 
Day 173 Update

Another strong day. Revenue keeps climbing, but the biggest change now is that growth feels more controlled than forced.

Revenue
• Total: $2,538
• Subscriptions: $556
• PPV: $1,562
• Tips: $420

Subscribers
• New subs: 161
• Rebill rate: ~91%

Traffic Sources
• Instagram: ~37%
• Reddit: ~48%
• TikTok: ~10%
• Other: ~5%

Content Posted
• IG Reels: 4
• TikToks: 2
• Reddit posts: 25
• IG Stories: 28

Operations
Chatter handled most conversations. I focused mainly on tightening user segmentation and improving how quickly we move people into the right flow.

Observations (Important)

Big realization today:
The faster you classify users, the more money you save and make.

Not every user needs the same amount of attention.

Some people need:
• Quick direct offers
• Slower warming
• Follow-up later
• Or almost no time at all

The mistake earlier was treating too many users the same.

Another insight:
Low-intent users are not always useless, but they need automation, not attention.

Manually spending too much time on them kills efficiency.
But putting them into softer touchpoints like stories, light follow-ups, and reactivation keeps them in the ecosystem without draining energy.

Also noticed:
High-value users usually reveal themselves early.

They ask better questions, reply with more energy, and stay engaged longer.
The key is spotting those signals fast and giving them better attention before momentum drops.

On the monetization side:
Repeat buyers are now easier to upsell than new users are to convert.

That changes priorities a lot.
Instead of only chasing fresh subs, more focus is going into:
• Post-purchase experience
• Timing next offers
• Keeping emotional continuity

Traffic-wise:
Reddit is now clearly the strongest buyer source.

IG still brings scale, but Reddit users continue to spend faster and with less resistance.

Another interesting point:
Less pressure is creating more revenue.

When conversations feel relaxed, users stay longer, come back more often, and buy with less hesitation.

New Focus / Tests
• Improve early user classification
• Reduce manual time spent on low-intent users
• Build stronger post-purchase flows
• Continue scaling Reddit without lowering traffic quality

The system is becoming less about chasing every user, and more about knowing which users actually matter.
 
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