Building a Reddit account network with AI personas + 4G mobile modems — Week 1: 17 accounts, 10 burned in 48h, everything we learned

curdoc

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Weekly journey, real numbers only. What we did, what worked, what blew up. No fake screenshots, no "$10k in 3 days". Week 1 = mostly lessons, and some cost us accounts.

The goal
Build a network of aged, real-looking Reddit accounts to later:
  • promote our own tools in relevant niches
  • drive traffic to OnlyFans creators we work with
Right now we promote NOTHING. Phase 1 = pure account building: age, karma, clean history, zero removals. Promo on a 10-day / 12-karma account = burned account. That comes later, and I'll document the switch.

The stack
  • Proxies - dedicated 4G mobile modems (PL carrier). 1 modem = 1 account, never shared.
  • ReddMator - cloud panel for many accounts: warmup, comments, AI posts, engage, limits, schedules, per-account proxy.
  • FluidTalk - AI persona engine. Each account = own persona (age, city, job, bio, voice, topics) + own API key. No two voices alike.

infographic-1-pipeline.png

Timeline
  • Day 1-2 (Sep 17-18): 1 account, warmup only (3 sessions/day). Day 2: AI comments 1/h, 3/day -> landed + upvotes, no shadowban.
  • Day 3 (Sep 19): scaled to 17 accounts - 7 on 4G modems, 10 on "premium" residential (FR+DE, sticky 60 min). Own persona + 6 target subs each, no overlaps.
  • Day 3-5 - the massacre: all 10 residential gone in ~48h. 4G: 6/7 alive.
  • Day 6-7 (Sep 22-23): lost our best account (66 karma): flagged -> gone. Then read every AI comment (60+) - many sounded like AI. Big fix of the week.
  • Day 8-10 (Sep 24-27): tuned persona engine, turned on replies + engage + AI posts (human approval queue), added new accounts on free modems - warmup only, no comments this time.

infographic-2-proxy.png

Proxy lesson:
we chose residential because reddit.com returned 200 (403 on the modems), so it looked "cleaner". That signal was completely backwards. Don't judge a proxy by what reddit.com returns to an anonymous request.

Current settings (per account)
ToolSetting
Warmup3 sessions/day, 08-22 UTC, scroll 10-25, upvote 1-5, downvote 0-2, join 0-2 subs, 15-45s between actions
Comments1/h, 3/day, delay 1.5-4h, 6-7 subs sorted rising, skip link/image-only, hours matched to persona TZ
Repliesmax 2/thread, max 1/person/thread, bows out silently if called a bot
Engagejoins other users' convos, 2/day, only on comments 120+ chars
AI Postsscan 5 source subs every 1h, max 3 drafts waiting, every post human-approved before it goes live

Fleet dashboard:
>>ss-1-dashboard.png <<
Accounts (names masked) + history of comments and AI posts:
>> View attachment 550649<<
Comment targets for one account (running/fitness persona):
>> ss-2-accounts-history.png <<
AI Posts: source subs, 1h scan, human approval queue:
>> ss-5-ai-posts.png <<

How the AI comments work
ReddMator finds a fresh post in a target sub -> sends it to FluidTalk with that account's persona key. The persona decides whether to comment at all. Skipping is normal - a thin comment is worse than none. If yes, ReddMator posts it within the account's limits and hours. Each persona is a full character (a 29yo physio from Leeds doing C25K, an HVAC tech, a night-shift biohacker...) with its own voice, slang and example lines.

A real thread - the persona answered a medical question the way a normal person would:
>> ss-6-fluidtalk-comment.png<<

Biggest lesson: reading 90+ AI comments
infographic-4-lessons.png
  • Comment ending with a question to OP = 3x less karma (+0.27 vs +0.89 avg). Now banned.
  • Generic filler ("consistency is key") came from the persona text, not the prompt. Persona beats prompt, every time.
  • We over-corrected with an "every comment must add value" rule -> karma dropped to -0.25/comment (personas turned into know-it-alls). Fixed by splitting: question posts get a concrete answer, brag posts get a short warm reply with zero advice.
  • Slang in every comment ("proper", "yeah nah") made accounts recognisable. Cut at the persona level.
  • Subs with 3+ removals get paused and swapped - removals hurt the contributor quality score and they compound.

Numbers after 10 days
infographic-3-karma.png
  • 5 accounts commenting, ~113 comments, 162 comment karma total
  • 3 of 5 commenting accounts have zero removals
  • best single comment: +32 (a fitness sub)
  • one account had 15 of 28 comments removed and sat at 0 karma for a week (wrong subs: loseit, TooAfraidToAsk, Fitness...). After two rounds of swapping to smaller niche subs it went 0 -> 50 karma in 3 days
  • first AI posts approved and live (C25K, suggestmeabook, BuyItForLife)
  • survival: residential 0/10 within 48h; 4G modems 5 of the original 7 still alive after 10 days (one flagged on day 3, our best account lost on day 6)

Plan for week 2
  • get every account past 100 karma and ~30 days
  • new batch: 5+ days of warmup before the first comment
  • more 4G modems (we're out of free ones, and we're sticking to 1 modem = 1 account)
  • measure AI posts: approval rate, removals, karma per post
  • start planning the first soft promo tests on the strongest accounts

Questions welcome. I'll answer what I can without burning the accounts. Next update in a week.
 

Attachments

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The proxy lesson was probably the most interesting part for me. Losing 10 accounts in 48 hours really shows how quickly things can go wrong when scaling too fast. Also the AI comment review was a good catch. Sometimes the small patterns in the writing are way more obvious than you think until you actually read a bunch of comments together.

Looking forward to learn something from this
 
Interesting. I'm an engineer building a very similar thing - my own custom version of these tools, and the ecosystem around them.

Reach out if you're interested, could be some useful things to share.
 
is this your own tool this reddmator thing?

PS: interesting journey I will follow
Thank you, I will write more about that software in future.
Replied.
The proxy lesson was probably the most interesting part for me. Losing 10 accounts in 48 hours really shows how quickly things can go wrong when scaling too fast. Also the AI comment review was a good catch. Sometimes the small patterns in the writing are way more obvious than you think until you actually read a bunch of comments together.

Looking forward to learn something from this
Thank you, however, accounts which used residential proxies was bought at accsmarket for 20 cents each, I think that was the case. Currently testing more accounts on residential which I have created manually, so far works fine. I will write more about that in next update.
Interesting. I'm an engineer building a very similar thing - my own custom version of these tools, and the ecosystem around them.

Reach out if you're interested, could be some useful things to share.
That's great, for sure would love to chat about process. Let's wait for my next update, for now seems everything is smooth.
 
In my batches, matching posting windows across accounts got them flagged faster than shared IPs ever did, so I'd compare the schedules of the 10 that burned.
 
In my batches, matching posting windows across accounts got them flagged faster than shared IPs ever did, so I'd compare the schedules of the 10 that burned.
The thing is, that's not the case: the accounts weren't sharing the same IPs, and we split working hours by account.
 
Solid start. The insight about residential proxies being flagged faster than dedicated 4G is spot on for Reddit. Keep tweaking those AI personas to avoid the robotic tone, it makes a huge difference in longevity.
 
Interesting journey, I'm definitely following this one. The FluidTalk persona part caught my attention, especially how much the persona affects the comments. Curious to see how it goes once you start adding more accounts.
 
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