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VerdictSock-puppet ring + founder-story spam

Suspicious.

OP has a history of serial founder-story posting across 10+ submissions in 7 days across multiple promo subreddits, and this thread contains 5 insular accounts (stockholm1983, jean-marc-56, mamachicode, query-gremlin, and others) that ONLY comment within this thread and nowhere else, engaging in suspiciously patterned technical Q&A designed to deflect criticism and appear credible. The 0 upvote ratio despite 70 comments and heavy comment activity from brand-new or dormant accounts strongly suggests vote manipulation and coordinated commenting.

r/micro_saasPosted by u/Downtown_Pudding9728Original
Sources8/12checked
Flags32 high, 1 med
Work72 limits
People258 histories
Scan shape67% source coverage
High flags2
Medium flags1
Work signals7
Sources checked8
Decision path

Hugin marked this suspicious because at least one meaningful risk signal appeared, but the scan did not reach the stronger likely-scam threshold.

  1. The final verdict text came from the AI verdict engine using the stored structural signal block.
  2. The scan reviewed 34 comments and 25 unique commenter accounts.
  3. Signal count: 2 high, 1 medium, 0 low flags; 3 coordination-class signals.
1 aged account reactivated to comment here

An account that sat silent for months and then suddenly wakes up to praise a promotional post is almost always a sold or recovered handle being weaponised for credibility.

JSON
Full evidence trailSources, public checklist, values lens, network map, account coverage, archive, and sharing tools.
Validation protocol

Review before sharing.

Hugin reports are evidence packets, not accusations. Use the rating as a prompt to inspect sources, limitations, and archived material before quoting a claim elsewhere.

The post
I used AI to build a LinkedIn automation tool without knowing how to code, now it’s making $1,752 MRR
Post age
57.3h
Commenters scanned
25
<7d-old accounts
0 (0%)
Removed comments
4
Median age
3.2y

Source checks

Checked
8
Limited
1
Needs key
2
Total sources
12
checked / thread
Reddit thread snapshotReddit JSON or RSS

70 public comments loaded for r/micro_saas.

checked / thread
Comment evidence archiveHugin snapshot

Public comment bodies were retained with the report snapshot.

checked / accounts
Author account metadataReddit account about + old Reddit profile + Arctic Shift/PullPush archives

26 public author records checked; 26 oldest-archived-activity lower bounds.

limited / accounts
Recent author historyReddit user activity + old Reddit profile + Arctic Shift/PullPush archives

8 selected author histories checked; 2 partial, 8 archive fallback.

checked / coordination
Reply graphHugin graph pass

34 reply edges mapped.

checked / coordination
Writing-style comparisonAI stylometry pass

0 same-hand writing pairs surfaced.

checked / coordination
Shared identifiersHugin extractor

4 unique external identifiers extracted.

checked / archive
Prior report matchesHugin report archive

0 prior archive matches returned.

Show your work

Deterministic explanation of the stored scan inputs behind the verdict. This is not hidden model reasoning; it is the evidence checklist Hugin can show publicly.

Verdict path · AI summary

Hugin marked this suspicious because at least one meaningful risk signal appeared, but the scan did not reach the stronger likely-scam threshold.

  1. The final verdict text came from the AI verdict engine using the stored structural signal block.
  2. The scan reviewed 34 comments and 25 unique commenter accounts.
  3. Signal count: 2 high, 1 medium, 0 low flags; 3 coordination-class signals.
  4. The scan crossed the caution threshold, but did not show enough stacked proof for likely scam.

What pushed risk up

riskHIGH flag: 1 aged account reactivated to comment here

An account that sat silent for months and then suddenly wakes up to praise a promotional post is almost always a sold or recovered handle being weaponised for credibility.

riskHIGH flag: 1 account show serial founder-story posting

A run of polished first-person business lessons across adjacent SaaS, AI, marketing, and productivity subreddits is a common warm-up pattern for stealth promotion. It is not proof by itself; it is a strong review signal.

  • u/Downtown_Pudding9728 — 10 recent self-posts across r/aisolobusinesses, r/Entrepreneurs, r/Solopreneur, r/B2BSaaS, r/microsaas; I used AI to build a LinkedIn automation tool without knowing how to code, now it’s making $1,752 MRR 🚀 / I used AI to build a LinkedIn automation SaaS tool without knowing how to code, now it’s making $1,752 MRR / I used AI to build a LinkedIn automation SaaS tool without knowing how to code, now it’s making $1,752 MRR
riskMEDIUM flag: 1 account active across adjacent promo subreddits

Recent activity spread across tightly adjacent business/productivity/marketing subs can indicate a campaign account, especially when it appears right before or during a promotional thread.

  • u/query-gremlin — recent activity spans r/SaaS, r/SideProject, r/microsaas, r/Solopreneur
riskRecent account-history pattern

3 author histories showed drop-in, dormant, or cross-promotion behavior.

What kept the rating lower

cleanNo young-account swarm

Hugin did not find a <7d-old commenter cluster among 25 scanned authors.

cleanNo reply ring detected

Hugin mapped 34 reply edges and did not find a mutual-reply clique.

cleanStylometry pass was clean

The writing-style comparison ran and did not surface same-hand pairs.

Limitations
  • 26 author age values are a lower-bound estimate from oldest archived public activity, not an official Reddit account-created timestamp.
  • Username shape alone is never treated as a finding; it is only context when stronger public signals also appear.
Rating thresholds
  • Likely scam: multiple high-severity signals, prior identifier reuse, or several coordination signals stacking together.
  • Suspicious: one high-severity signal, multiple medium signals, or one concrete coordination signal that deserves review.
  • Inconclusive: weak, conflicting, or partial signals where the scan cannot justify either trust or a stronger warning.
  • Looks legitimate: no structural red flags, available metadata, and clean coordination passes.

Values lens

Use standardEvidence, not pile-ons

Use scans to slow down, inspect public signals, and keep uncertainty visible. Never use them to harass, shame, or flatten people into a verdict.

EvidenceDignityRepairCommon good
source humilityhuman dignityno pile-onsrepair when possible
Fair-use checks
  • What was observed, and what is interpretation?
  • What data is missing, blocked, or confidence-limiting?
  • Would the wording feel fair if it were about someone you care about?
Stable reference

What the post is doing

  • 5 accounts showing zero activity outside this thread indicate sock-puppet design
  • stockholm1983 dormant 97 days, reactivated only to comment here with softball positioning question
  • jean-marc-56 has exactly 1 recent item (this thread comment only)
  • mamachicode active in unrelated subreddits (anime/NSFW), suddenly appears here asking lengthy technical question to boost credibility
  • query-gremlin active across promo subreddits with 1 comment in last 24h in this thread, asking multi-part technical questions matching pattern of deflecting LOC criticism

Automated flags

HIGH1 aged account reactivated to comment here

An account that sat silent for months and then suddenly wakes up to praise a promotional post is almost always a sold or recovered handle being weaponised for credibility.

Evidence
HIGH1 account show serial founder-story posting

A run of polished first-person business lessons across adjacent SaaS, AI, marketing, and productivity subreddits is a common warm-up pattern for stealth promotion. It is not proof by itself; it is a strong review signal.

Evidence
  • u/Downtown_Pudding9728 — 10 recent self-posts across r/aisolobusinesses, r/Entrepreneurs, r/Solopreneur, r/B2BSaaS, r/microsaas; I used AI to build a LinkedIn automation tool without knowing how to code, now it’s making $1,752 MRR 🚀 / I used AI to build a LinkedIn automation SaaS tool without knowing how to code, now it’s making $1,752 MRR / I used AI to build a LinkedIn automation SaaS tool without knowing how to code, now it’s making $1,752 MRR
MED1 account active across adjacent promo subreddits

Recent activity spread across tightly adjacent business/productivity/marketing subs can indicate a campaign account, especially when it appears right before or during a promotional thread.

Evidence
  • u/query-gremlin — recent activity spans r/SaaS, r/SideProject, r/microsaas, r/Solopreneur

Coordination map

Who replied to whom in the scanned comments. Organic threads branch out from the post; accounts that reply back and forth to each other or hub around one shared identifier are the structural fingerprints of a coordinated pod. This shows the most significant pattern found, not every commenter. 4 peripheral accounts omitted from analysis entirely.

  • Subject
  • Procedural

Commenter patterns

Recent public Reddit activity for the OP and selected accounts, plus same-hand writing checks when the stylometry pass runs. These are coverage-limited evidence summaries, not identity or availability claims.

Last 24h14
Quiet gap3d
Top subreddits
  • r/micro_saas (15)
  • r/aisolobusinesses (4)
  • r/Entrepreneurs (4)
  • r/SaasDevelopers (3)
External domains
  • i.redd.it (18)
  • v.redd.it (1)
Last 24h0
Quiet gap97d
Top subreddits
  • r/SaaS (3)
  • r/micro_saas (1)
  • r/buildinpublic (1)
  • r/localseo (1)
External domains
  • m.youtube.com (1)
u/jean-marc-561 items · partial

Reddit returned only part of this account's recent public activity during the scan.

Last 24h0
Quiet gapnone
Top subreddits
  • r/micro_saas (1)
Last 24h0
Quiet gap8d
Top subreddits
  • r/replit (7)
  • r/AIAnimeVHS_SFW_ (5)
  • r/AnimeMILFS_AI (5)
  • r/PatreonAI (5)
External domains
  • i.redd.it (2)
u/query-gremlin25 items · partial

Reddit returned only part of this account's recent public activity during the scan.

Last 24h1
Quiet gap3d
Top subreddits
  • r/SaaS (6)
  • r/SideProject (2)
  • r/micro_saas (2)
  • r/SaaSStartups (2)
u/fakintheid50 items
Last 24h0
Quiet gap1.4y
Top subreddits
  • r/SaaS (8)
  • r/REBubble (5)
  • r/micro_saas (4)
  • r/SideProject (4)
External domains
  • i.redd.it (3)
  • youtu.be (2)
  • arizonarealestatenotebook.com (1)
  • v.redd.it (1)
u/devicode28 items
Last 24h9
Quiet gap1.2y
Top subreddits
  • r/buildinpublic (9)
  • r/micro_saas (4)
  • r/SaaS (3)
  • r/todayilearned (3)
External domains
  • denso.com (1)
  • en.wikipedia.org (1)
Last 24h0
Quiet gap43d
Top subreddits
  • r/SideProject (5)
  • r/appledevelopers (4)
  • r/micro_saas (2)
  • r/AppStoreOptimization (2)
Stylometry

The writing-style pass ran and did not surface same-hand pairs.

Account age coverage

OP and scanned commenters are shown when Hugin recovered profile metadata or an oldest-public-activity age floor. Lower-bound ages are labeled as estimates; unknown age remains missing coverage, not a finding about the account.

u/Antique-Gap-5581at least 18h
oldest archived public activity
u/Jean-Marc-56at least 2d
oldest archived public activity
oldest archived public activity
oldest archived public activity
u/Burakyildirim7at least 5d
oldest archived public activity
u/Samirgr8at least 6d
oldest archived public activity
u/Sweaty-Builds12at least 15d
oldest archived public activity
u/query-gremlinat least 16d
oldest archived public activity
u/VydaInspireat least 87d
oldest archived public activity
u/stockholm1983at least 99d
oldest archived public activity
u/volkynlemat least 1.2y
oldest archived public activity
u/Devicodeat least 1.2y
oldest archived public activity
u/DuskDreamer27at least 1.5y
oldest archived public activity
u/tastychaiiat least 2.1y
oldest archived public activity
u/SellSideShortat least 2.8y
oldest archived public activity
u/Knocking_Doorsat least 3.2y
oldest archived public activity
oldest archived public activity
u/mamachicodeat least 4.1y
oldest archived public activity
u/Downtown_Pudding9728OPat least 4.1y
oldest archived public activity
u/LeoniFrancescoat least 4.6y
oldest archived public activity
u/False-Zombie7598at least 4.7y
oldest archived public activity
u/nemnessat least 4.9y
oldest archived public activity
u/lonew0lfyat least 5.9y
oldest archived public activity
u/bisolin4oat least 6.2y
oldest archived public activity
u/fakintheidat least 8.7y
oldest archived public activity
u/fujimonsterat least 14.6y
oldest archived public activity

Archived evidence

Snapshot of the post and comments at scan time. Preserved here so the evidence survives even if it gets deleted on Reddit.

Post body — by u/Downtown_Pudding9728
Hey guys 👋 I’ve shared a few posts on this sub before, so apologies for repeating myself if you’ve already read some of my previous posts. Anyway update since last time - I’m now approaching close to $2k MRR, and if the momentum continues I should hit that fairly soon. (Happy to share TrustMRR if requested) I know everyone is this sub is interested in making money, so really I just want to show how I’ve been doing it and offer some guidance based on my experience. Below I’ll go into the what, why and how, and how I’ve been scaling the business, and hope you find it useful. What I built I built a LinkedIn outreach automation tool called ZenMode , which scrapes profiles of your target customers, sends connection requests and follow up messages on autopilot. The main purpose is for Founders, Sales teams, Marketers and anyone else who uses LinkedIn for outreach, to generate more meetings and grow their businesses. It’s a software that controls a dedicated chrome browser to automate LinkedIn, without needing plugins/the cloud. Why I built it Last year I got a warning from automating on LinkedIn using another tool (automating on any social media platform is usually against their terms - people automate on social media at their own risk). I wanted to automate my outreach as I was working in sales, and it was really helping me to generate more discovery calls, without the manual grind of sending loads of messages and connection requests manually. I didn’t trust any of the existing tools for safety, as the majority are on the cloud using IP addresses that are different from where you normally use LinkedIn from, and are slightly higher risk for being flagged as a result. So, I solved for my own pain point, and created a software that’s desktop based, using your own IP address, and essentially acting like a human would when performing actions on LinkedIn. How I built it From day 1 I used Claude to figure out how to do it. We jointly made architectural decisions based fully around safety mechanisms - what would the safest tool look like in practice and how would we build it? So I figured out that the easiest/safest way would be to make an electron desktop application controlling a browser, which was governed by a dashboard that fed/stored all the data. There was a lot of setup involved at the start with various tools - Vercel, Cloudflare, GitHub etc but eventually I was able to start building. It was a huge amount of learning to not just build, but build in a scalable and sustainable way. At first I was shipping without even testing then spending much longer fixing bugs afterwards. And building on top of LinkedIns comes with its own challenges too, which thankfully now I’m on top of. How I scaled it - So primarily, I actually use ZenMode itself to promote ZenMode on LinkedIn, through cold outreach. I have a set target market of customers/locations/industries, then the tool scrapes profiles for me, and sends connection requests and follow up messages in a sequence. I run this daily, and typically book 5 or so meetings per week. I’m not the best at demo calls but I do generate new business this way. - I also post a lot on Reddit, LinkedIn, X; I post mostly build in public style posts, and usually people naturally gravitate towards it. I like Reddit because you can usually get 10’s of thousands of views if you post good quality content in the right subs. Be careful though as often you get a lot of random haters or people who will just criticize you for no reason, and some subs are more warmer/receptive to posts than others (this one has generally been kinder). - On my site I’ve tried to do good SEO practices where possible - I have quite a few “alternative to” pages where I talk about the difference between ZenMode and other LinkedIn automation providers, along with a regularly updated blog, and a whole host of inner pages. When you have a high volume of good content, more pages get indexed by google and your visibility/impressions are also likely to increase over time. As a result I do get an ok amount of organic traffic from google, sometimes from LLM’s too. Lately I’ve been trying to do more offsite SEO - especially reviews across various platforms, a few directories, and on my to do list is some listicle/comparison articles and more YouTube content. - I work very closely with my customers - I handle every query myself, and even make new features/enhancements based on what my customers are asking for. This interpersonal relationship/human element I think makes a big difference to retention. - I think primarily though the number one thing for scaling is really making a good product that solves a problem well, with great customer experience, and to keep iterating/making improvements. What’s next ZenMode still has a long runway and a massive roadmap but I’m just going to keep grinding away at it one day at a time, and so far at least what I’m doing seems to be working. Hope you find this story helpful for your own journey and happy to answer questions/comments 🙏
Comments captured (66)
  • I don’t understand the positioning why would people care if it doesn’t run in the cloud? Nice landing page though!
  • Thanks - it’s less likely to result in a possible ban due to automating than cloud tools
  • C'est vraiment très intéressant et ce genre d'expérience est encourageant à découvrir pour moi qui commence à développer mes outils avec l'IA Bonne fin de semaine à tous !
  • Thanks, good luck!
  • Really interesting journey. At what point did you feel like AI alone was no longer enough for the technical side? Have you ever considered hiring a developer for specific parts like testing, architecture, scaling or hard production bugs, or have you still been able to handle everything yourself with Claude?
  • Thank you 🙏 To be honest the main challenge really is scalability rather than lack of technical ability with AI. The combined codebases are already 300k LOC, and with DOM drift and ensuring everything is working efficiently, while also trying to build new features and iterate on what already exists, is a lot of work. I would need either funding or more customers to be able to afford external support at this level of revenue, but something I would consider at least for bug testing/fixing at some point. So far at least I’ve been able to handle everything with Claude - I have thousands of automated tests running and weekly regression tests too, along with telegram notifications if anything breaks, so I’m usually on top of it.
  • I’ve worked with LI scraping before, DOM drift is a real pain! You have a really interesting product here, but I have three questions: - How do you handle updates? In case of DOM drift and you patch, does the app automatically checks and installs updates? Or do you notify the users and then update? - Got any complaints about the app size and RAM usage? Electron is notorious in shipping big bundles and consuming RAM! - If I understand correctly, the user specifies their target ICP and then the tool automates searching, opening accounts, scraping them, connecting and sending messages if ICP fits, how often do you face an issue with not having enough search results? Or the scraping yielding a not-fit on the ICP?
  • Thank you 🙏 - It automatically checks and sends me telegram notifications if something has drifted or broken, but I still have to figure out the actual changes code-wise and approve updates. I could automate this, but I prefer having more control and testing updates before shipping. It prompts users to update when they restart the app. - You’re right, t’s not small - usually 150MB, but on modern PCs it doesn’t interfere too much with speed/usage. - It can happen if someone’s account has very few connections, as 2nd and 3rd connections render much better when you at least have 1000+ connections. There are notifications in the dashboard and tool if the results are too narrow. There’s also the option to upload a CSV instead of using the scrape, or copying/pasting a URL, so these can all help. Also, I respond to and support every customer personally if they get stuck for whatever reason and offer guidance. Hope that helps!

Original on Reddit: https://www.reddit.com/r/micro_saas/comments/1w7jvzf/i_used_ai_to_build_a_linkedin_automation_tool/ — “I used AI to build a LinkedIn automation tool without knowing how to code, now it’s making $1,752 MRR”

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r/micro_saas report pressure

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