spent 3 days fighting reddit's api rate limits to ship the ban risk analyzer

hey indie hackers

just shipped a feature i've been grinding on for 3 days straight

honestly thought about giving up yesterday when everything broke for the 4th time

but we're here. the ban risk analyzer is live in redchecker.

what this thing actually does:

so the problem i kept hearing from early users was this:

"i got banned and i have no idea why"

"my account got shadowbanned after posting in 3 subreddits"

"reddit flagged me as spam but i wasn't spamming"

the issue is that reddit doesn't ban you for one post

they ban you for patterns across multiple posts

you might post something totally fine in r/SaaS

then post similar content in r/Entrepreneur

then again in r/startups

individually? each post is okay

together? reddit's spam detection sees you as a spammer

so i built the ban risk analyzer:

it scans your entire reddit post history (last 90 days)

analyzes patterns that reddit's spam filters look for

gives you a risk score out of 100

and tells you EXACTLY what's putting you at risk

here's what it checks for:

1. cross-posting patterns

if you're posting the same or similar content across multiple subreddits

reddit sees this as spam behavior

the analyzer shows you:

• how many times you posted similar content

• which subreddits you repeated in

• time gaps between posts (posting same thing in 5 subs within an hour = instant red flag)

2. link dropping frequency

reddit tracks how often you post links vs how often you comment

if your ratio is off (like 80% posts with links, 20% comments), you're flagged

the analyzer calculates your ratio and warns you if you're in danger zone

3. promotional language usage

certain words trigger reddit's filters

"check out my" "just launched" "link in bio" "dm me" etc

the analyzer scans your post history and counts how many times you used these phrases

shows you if you're overusing promotional language

4. engagement vs promotion ratio

reddit wants you to be a community member, not a marketer

so they track: how much you engage (comments, helpful posts) vs how much you promote

the analyzer shows your ratio

if you're 90% promotion and 10% engagement, you're getting banned soon

5. account age vs activity level

new accounts posting aggressively get flagged fast

the analyzer factors in your account age and tells you if you're posting too much for how new you are

6. subreddit-specific violations

each subreddit has different tolerances

some allow self-promotion on saturdays only

some require 10:1 ratio of engagement to promotion

the analyzer checks your history against each subreddit's specific rules

what it looks like in practice:

user opens the analyzer

it shows:

overall ban risk: 73/100 (high risk)

breaking it down:

• cross-posting: 8 similar posts across 12 subreddits in 2 weeks (high risk)

• link ratio: 67% of posts contain links (moderate risk)

• promotional language: used flagged phrases 23 times in last 30 days (high risk)

• engagement ratio: 15% helpful comments, 85% promotional posts (high risk)

• account age: 47 days old, posting 3x per day (moderate risk)

recommendations:

• reduce posting frequency to 1x per day maximum

• spend next 2 weeks only commenting, no posts

• rewrite past posts to remove promotional language

• focus on 2-3 subreddits instead of spreading across 12

the technical nightmare:

sounds simple right? just scan posts and check patterns?

wrong.

reddit's api is absolutely brutal to work with

challenge 1: rate limits

you can only make 60 api requests per minute

if a user has 100 posts in their history, that's 100 requests

exceeds the limit immediately

solution: built a caching system that stores post data locally and only fetches new posts

took 2 days to get this working properly

challenge 2: data structure inconsistencies

reddit's api returns data in different formats depending on the endpoint

some endpoints give you post title + body

some only give you title

some include deleted posts, some don't

had to normalize everything into a consistent format

this broke 3 times before i got it right

challenge 3: analyzing "similar content"

how do you determine if two posts are "similar"?

can't just check if text is identical (nobody reposts word-for-word)

built a simple similarity checker using keyword overlap and topic matching

if 60%+ of keywords overlap, posts are flagged as similar

not perfect but works for 80% of cases

challenge 4: real-time vs background processing

do you scan the user's history immediately when they click "analyze"?

or do you process it in the background?

immediate = better UX but hits rate limits fast

background = worse UX but more reliable

ended up doing hybrid: scan last 30 days immediately, rest in background

challenge 5: showing results clearly

how do you show someone they're at risk without scaring them away?

tried a bunch of different UI approaches

settled on: traffic light system (green/yellow/red) + specific recommendations

people respond better to "here's what to fix" vs "you're screwed"

what went wrong:

honestly, everything broke multiple times

day 1:

built initial version

tested it

rate limit errors everywhere

entire feature unusable

spent 6 hours debugging, realized my caching logic was completely wrong

day 2:

rewrote caching system

tested again

worked for accounts with <20 posts

broke completely for accounts with 50+ posts

turned out i wasn't handling pagination correctly

spent another 4 hours fixing this

day 3:

finally got it working end-to-end

showed it to a beta user

"why does it take 2 minutes to analyze my account?"

realized my code was making sequential api calls instead of parallel

refactored everything to use parallel requests

cut analysis time from 2 minutes to 15 seconds

what i learned:

lesson 1: api rate limits are harder than you think

you can't just "make requests and hope"

you need actual strategy for batching, caching, and request prioritization

lesson 2: edge cases will kill you

works fine for normal accounts

breaks for power users with 500+ posts

breaks for brand new accounts with 2 posts

had to handle both extremes

lesson 3: user feedback is critical

my first version showed risk score with no explanation

completely useless

added specific recommendations and actionable next steps

now people actually know what to do

lesson 4: start simple, add complexity later

tried to build the perfect similarity algorithm on day 1

wasted hours

shipped simple keyword matching first

can improve it later

early user feedback:

got 3 people to test it yesterday

user 1:

"holy shit i had no idea i was posting too much. this explains why my last 3 posts got removed"

changed posting behavior immediately

user 2:

"the promotional language counter is eye-opening. i used 'check out' 47 times in a month"

started rewriting posts to be less salesy

user 3:

"wish i had this 2 months ago before i got shadowbanned"

exactly the validation i needed

what's next:

this is version 1 and it's rough around the edges

improvements i'm working on:

1. better similarity detection

current keyword matching catches obvious cases

but misses subtle similarity

want to add semantic analysis so it understands topic similarity even with different words

2. subreddit-specific thresholds

right now it uses general reddit-wide patterns

but r/Entrepreneur is way more lenient than r/programming

need to build subreddit-specific risk models

3. historical trend tracking

show users how their risk score changes over time

"your risk was 80/100 last month, now it's 45/100, keep going"

4. automated recommendations

instead of just "post less", give specific suggestions

"comment on 5 posts in r/SaaS before posting again"

"rewrite this post to remove these 3 promotional phrases"

5. notification system

alert users when their risk score crosses into danger zone

before they get banned

current blockers:

blocker 1: getting more users to test this

need more diverse reddit accounts to test against

some users have karma farming histories

some are brand new

some are years old

need to make sure it works for everyone

blocker 2: figuring out monetization

is this a premium feature or available to all users?

lifetime deal includes all features

but for monthly subscribers, not sure yet

blocker 3: performance optimization

works fine for 1 user at a time

what happens when 100 users click analyze simultaneously?

need to build proper queue system

the bigger picture:

this feature is part of a larger vision

most founders approach reddit wrong

they post and hope

then wonder why they got banned

redchecker is about giving you X-ray vision into how reddit actually works

before you post: violation checker shows what will get removed

while you're active: ban risk analyzer shows if you're posting too much

after you post: (building this next) performance tracker shows what's working

the goal is to make reddit less of a mystery

right now it feels like:

• post something

• hope it doesn't get removed

• hope you don't get banned

• no idea if you're doing it right

with redchecker it becomes:

• check before posting (no violations)

• monitor your patterns (not at risk)

• track what works (data-driven decisions)

questions for the community:

1. rate limiting:

anyone else building features that hit external api rate limits?

how do you handle it without making the user wait forever?

i'm doing caching + parallel requests but curious what others do

2. pricing this:

should ban risk analysis be: a) included free for everyone (good for growth) b) premium feature only (better monetization) c) limited free version, detailed paid version

3. similar tools:

has anyone built something that analyzes user behavior across a platform?

curious how you approached the "what's normal vs risky" problem

what i'm working on tomorrow:

• fixing a bug where deleted posts still show in analysis

• adding subreddit-specific risk thresholds for top 20 subreddits

• writing better error messages when api calls fail

• testing with 10 more beta users

current stats:

• 47 lifetime deal customers so far

• 12 monthly subscribers

• 8 people actively testing new features

• still haven't hit my first $1k MRR but getting close

final thoughts:

this feature took way longer than expected

i thought it'd be 1 day of work

turned into 3 days of debugging api issues

but seeing that first user say "this explains why i got banned" made it worth it

reddit is confusing and redchecker is slowly making it less confusing

one feature at a time

if you want to try it:

redchecker.io

lifetime deal still available at $59 (ending soon)

or use code "IN26" for 50% off monthly

drop your questions below:

happy to explain more about the technical implementation

or help anyone struggling with reddit marketing

also: if you've been shadowbanned and want to know why, i can run your account through the analyzer and tell you what happened

-musha