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Drop your SaaS, I’ll send you a tailored AI marketing playbook for your first $10k MRR

I’ve built numerous projects, the biggest getting 200k+ followers and hitting $10k MRR in the first two months.

Now I’m trying to help out as many solo founders as I possibly can!!

Drop your website + target market, and I’ll go deep on what organic marketing you should be doing with AI (step-by-step)

For example: Reddit comments you should be replying to, TikTok slideshows you should be posting, Green Screen Memes you should be generating for IG, YT and TT - completely tailored to your niche.

Powered by https://www.aftermark.ai ⚡️

Let’s begin! 👇

on November 13, 2025
  1. 1

    Hi,
    I’m Maria — a UI/UX designer. I took a look at your product and I’m confident the landing page could communicate its value faster and with a clearer visual structure.

    If you're planning a design update, I’d be glad to help you create a sharper, more focused version.

    Best,
    Maria
    Portfolio: https://www.behance.net/68c5eaf6

  2. 1

    Thanks for the offer! My website is tracekit dot dev, and my target market is developers, indie hackers, and early-stage startups.

    1. 1

      Nice! Some ideas:

      For subreddits that allow self promotion like r/SideProject, r/ShamelessPlug, and r/ImadeThis, post something like:
      "Built TraceKit after getting tired of the endless debug cycle. Add a log, push a PR, wait for review, redeploy, check logs, realise you need another log, repeat forever. TraceKit gives full distributed traces with full context automatically. Every request already contains parameters, user context, timing, flame graphs, and the actual sequence of events. It feels like Datadog level visibility at a tiny fraction of the cost and without unpredictable billing. Setup takes minutes and you get AI insights on traces out of the box."

      For non promo subreddits like r/programming, r/devops, r/softwareengineering, r/microservices, r/kubernetes, and r/webdev, frame it as a debugging pain story with zero mention of TraceKit:
      "I noticed that most debugging pain never comes from the bug itself. It comes from the missing context. You check the logs and the one thing you actually needed was never logged. Then you add logs, redeploy, wait for CI, hope you captured the right piece of data, and half the time you did not. Curious how engineers here reduce the guesswork. Do you instrument everything in advance, rely on distributed tracing, build custom request inspectors, or something else that avoids the log and pray cycle."

      Then, once someone replies like “I hate adding logs for every single issue” or “distributed tracing would help but Datadog is too pricey,” that is where you introduce TraceKit naturally:
      "Ah, well I have been using TraceKit which captures the full request journey automatically."

      Then reply daily under Reddit and YouTube comments about debugging, observability, microservices, distributed tracing, Datadog pricing, logs vs traces, devops pain, Kubernetes outages, and general backend engineering issues. Say things like, "That is cool, I realised most issues disappear the second you can see the full request path."

      For YouTube, comment early under videos about microservices architecture, debugging production outages, scaling backend systems, Datadog overage horror stories, OpenTelemetry tutorials, and APM comparison videos. Say something like, "Great breakdown. The real upgrade for us came when every request had full context by default instead of relying on logs added too late."

      Post two slideshow videos per day on Instagram and TikTok. One could be something like "Five debugging pains every backend dev knows." Another could be something like "Why adding logs is not enough for distributed systems."

      Add one AI UGC video daily on Instagram, Reels, TikTok, and YouTube Shorts with an AI avatar opening with "Wait, it shows the full request timeline instantly" and then a short demo of flame graphs and trace timelines.

      Add one wall of text productivity style video daily on Instagram, Reels, TikTok, and YouTube Shorts with a text overlay saying something like "is it just me or debugging takes longer because we lack context, not because bugs are hard."

      Post three green screen memes weekly on Instagram, Reels, TikTok, and YouTube Shorts using things like a dev staring at logs with overlay text "POV your log did not capture the one thing you needed."

      Run this consistently for 30 days. Two slideshows per day, one AI UGC video per day, three memes weekly, plus daily Reddit and YouTube engagement across engineering and observability communities.

      And if you want to automate slideshows, AI UGC, green screen templates, and Reddit replies at scale, Aftermark handles the full workflow. Beta is launching in around two weeks and you can jump on the waitlist at www.aftermark.ai if you want early access :)

    1. 1

      Awesome, some thoughts:

      For subreddits that allow self promotion like r/SideProject, r/ShamelessPlug, and r/ImadeThis, write something like:
      "I built HugeLeap after watching recruiters waste full days scheduling interviews, chasing candidates, scanning resumes manually, and then still feeling behind. It automates sourcing, screening, and interview scheduling with virtual AI agents. Candidates can interview anytime and you get structured reports instantly. It feels like having a full recruiting team running in the background while you work on everything else."

      For non promo subreddits like r/recruiting, r/humanresources, r/talentacquisition, r/AskHR, and r/recruitinghell, share an observation without mentioning HugeLeap:
      "I have been noticing a pattern. Most bottlenecks in hiring come from manual scheduling, repeated screening questions, and resume scanning that takes hours. Curious how teams here streamline high volume hiring without burning out. Do you automate early stage screening, use async interviews, or rely heavily on ATS workflows."

      Then in comments only when relevant, reply naturally with something like:
      "Ah, well I have been using HugeLeap. The AI interviewer runs the first round anytime and each report shows strengths, weaknesses, and suggested next steps."

      Engage daily under Reddit and YouTube content about burnout in HR, high volume hiring challenges, talent pipeline issues, resume overload, ATS frustrations, and interview scheduling pain. Use a supportive tone like:
      "That is cool, I realised most of the pressure comes from repeated tasks that could easily run in the background."

      On YouTube, comment early on videos about hiring automation, ATS reviews, HR tech breakdowns, recruiting tutorials, and interview best practices. Say something like:
      "Great breakdown. The biggest win for us was async interviews that run automatically and remove scheduling headaches entirely."

      Create two slideshow posts per day on Instagram and TikTok. One could be something like "Five hiring tasks that drain HR teams." Another could be "Why most ATS tools do not reduce workload."

      Add one AI UGC video per day across Instagram, TikTok, and YouTube Shorts. Start with a hook like "Wait, candidates can interview anytime" then show a quick clip of structured AI generated interview reports.

      Add one weekly green screen meme with text like "POV you scheduled forty interviews this week and still have fifty resumes left."

      Add one wall of text style video with relatable HR frustration copy. Something like "is it just me or hiring is hard because of repetitive tasks, not because of candidate quality."

      Do this consistently for a month. Two slideshows daily, one AI UGC short daily, weekly memes, and daily Reddit plus YouTube engagement.

      And if you want to systemize all the shortform, response templates, scripts, and Reddit agents so the entire workflow takes under thirty seconds, you can run it all on Aftermark. Beta goes live in about two weeks and you can join the waitlist at www.aftermark.ai :)

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