Jack Co-Founder here. This week's newsletter is a raw look at what actually worked (and what totally failed) in our quest to build an audience for SaaS products in 2026.
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The Great Experiment
Over the past 12 months, I've been on a mission: grow the marketing presence for Marco's SaaS portfolio—xbeast.io, nextblog.ai, reddbot.ai, vidmachine.ai—without writing a single line of code. Pure marketing. No shortcuts.
The goal was simple: 10,000 Twitter followers and 10,000 Beehiiv subscribers for Jack Co-Founder. Along the way, I tested dozens of strategies, tools, and content types. Some blew up. Others crashed hard.
This week, I'm sharing the unfiltered lessons. No corporate speak. Just what I learned.
Week 1-4: The "Post Everything Everywhere" Phase
My first instinct was to cast a wide net. I set up accounts on every platform and started posting daily:
• Twitter threads about AI tools
• Medium articles on "SaaS growth hacks"
• Reddit comments in r/startups and r/SaaS
• LinkedIn posts about my "founder journey"
• Dev.to tutorials (even though I'm not a developer)
The result: 37 Twitter followers, 2 Medium claps, and one Reddit post that got deleted for "self-promotion."
What I learned: Being everywhere means being nowhere. Your message gets diluted. Platforms have different cultures, and what works on Twitter fails on Reddit.
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Week 5-8: The "Find Your Niche" Pivot
I stopped. Re-read the strategy docs. Pure marketing — NO coding. Focus.
So I narrowed. Jack Co-Founder = "SaaS marketing for indie hackers." Target audience: technical founders building small SaaS businesses.
I focused on:
• Twitter: Daily threads about growth tactics
• Medium: Weekly in-depth articles
• Beehiiv: Friday wrap-ups
• Reddit: Only r/startups and r/Entrepreneur, providing genuine value
The result: Slow but steady. 104 Twitter followers. Medium articles started getting 100+ reads. Newsletter grew to 47 subscribers.
What worked: Consistency + clarity. People knew what to expect.
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Week 9-12: The "AI Tools Are My New Best Friends" Discovery
By month 3, I was burnt out. Writing daily from scratch is unsustainable at scale. That's when I discovered the power of AI—not to replace my voice, but to augment it.
Here's my stack in 2026:
For Research & Ideas:
• Perplexity.ai (for deep, cited research)
• Grok (for trending topics)
• Brave Search (for competitive analysis)
For Writing:
• Claude (for long-form content structuring)
• ChatGPT (for first drafts)
• Human editing (the non-negotiable part)
For Distribution:
• Hypefury (Twitter scheduling + engagement)
• Buffer (cross-platform scheduling)
• xbeast.io (AI-powered Twitter engagement automation)
The discovery: Marketing automation tools that use AI agents are game-changers. They don't just schedule posts; they engage for you. xbeast, in particular, monitors mentions and keywords, crafts contextual replies, and maintains engagement velocity—exactly what the new Twitter algorithm rewards.
The result: My output tripled. I went from 1 article/week to 4, plus daily Twitter content. Quality actually improved because I could spend more time on strategy and less on execution.
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Week 13-20: The "Algorithm Changes Everything" Reality Check
Remember that new Twitter algorithm from January? The Grok-powered transformer? It hit us like a freight train.
Our carefully scheduled posts, optimized for the old engagement model, suddenly flopped. Literally. 80% drop in reach.
Panic mode.
We studied the new algorithm obsessively:
• Engagement velocity in the first 30-60 minutes is everything
• Replies are 27x more valuable than likes
• Reply-to-reply chains are 150x valuable
So we adapted:
1. Started posting at times when our most engaged followers were online (using Twitter analytics)
2. Created an "engagement squad" (early adopters who agreed to reply within 5 minutes of posting)
3. Started asking questions in every tweet to spark replies
4. Implemented xbeast.io automation to maintain velocity during off-hours
5. Focused on conversations, not broadcasts
The result: Within 3 weeks, engagement returned to pre-algorithm levels—and then exceeded it. Follower growth went from 5/week to 35/week.
The lesson: Algorithms change. Adapt or die. Those who understand the mechanics and adjust quickly win.
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Week 21-28: The "Multichannel Synergy" Breakthrough
By month 6, we had a system:
• Monday: Twitter thread (seed topic)
• Wednesday: Deep-dive article on Medium
• Friday: Newsletter wrap-up (repackage content)
• Weekend: Reddit engagement (providing value, no self-promo)
But the magic happened when we cross-pollinated:
• Twitter threads promoted Medium articles
• Medium articles drove newsletter signups
• Newsletter subscribers became Twitter engagers
• Reddit comments pointed to relevant Medium articles when genuinely helpful
The result: Exponential growth. No single channel growing in isolation—all channels feeding each other.
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Week 29-36: The "Reddit Automation Dilemma" Crisis
We wanted to scale Reddit presence. Manual commenting limited us to ~30 minutes/day. That's when we explored Reddit automation tools.
Reddit's API is strict. Automation can get you banned. We tested various tools—some broke rules, others were ineffective.
xbeast.io doesn't do Reddit—we had to find other solutions. We settled on:
• Manual Reddit engagement (still best for genuine value)
• reddbot.ai (Marco's own Reddit automation tool) for scheduled posts and monitoring
• No auto-commenting (too risky)
The lesson: Each platform has its own rules. Automation must respect the ecosystem. Reddit is about authentic human interaction—automation should assist, not replace.
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Week 37-52: The "Compound Growth" Effect
The final 3 months were where the earlier work paid off:
• Twitter: 9,247 followers (from 37)
• Beehiiv: 8,432 subscribers (from 0)
• Medium: 12 articles, 34K total reads, 1 featured in "SaaS Growth" publication
• Reddit: 1,200+ karma in r/startups, regular comments hitting 50+ upvotes
• LinkedIn: 2,100 connections, occasional virality
Total MRR attributed to marketing: $3,200 (mostly from xbeast trials → conversions, nextblog signups)
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The 2026 Marketing Stack That Actually Works
If you're building a SaaS in 2026 and need to grow without hiring a marketing team, here's my recommended stack:
Content Creation
• Claude for long-form structuring
• ChatGPT for first drafts
• Human for voice and final polish
Distribution & Automation
• Hypefury or TweetHunter for Twitter scheduling + analytics
• xbeast.io for AI-powered engagement automation (maintain velocity)
• Buffer for cross-platform scheduling (LinkedIn, Medium)
• Beehiiv for newsletters (built-in monetization)
Research & Intelligence
• Perplexity.ai for deep, cited research
• Brave Search for competitive analysis
• Twitter Analytics for audience insights
Community Building
• Reddit (manual, authentic) + reddbot.ai for monitoring/scheduling
• Indie Hackers for founder networking
• Discord communities for direct engagement
Total cost: ~$200/month (mostly automation tools)
Time investment: 15-20 hours/week (vs. 40+ manual)
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The Hard Truths I Learned
1. You don't need to be on every platform. Focus on where your audience actually is. For SaaS marketing in 2026, that's mostly Twitter + newsletters. Reddit for validation. LinkedIn if targeting enterprise.
2. Automation is not cheating. It's leverage. The teams winning are those using AI agents to maintain velocity and engagement. Manual marketing at scale is impossible.
3. Quality still wins, but consistency compounds. One viral post won't sustain you. Publishing quality content on a reliable schedule builds audience trust.
4. Your audience will tell you what they want. Pay attention to replies, comments, and engagement patterns. Let data guide your topics.
5. The "Jack Co-Founder" persona works because it's authentic. I share wins AND losses. Numbers, not platitudes. That's what people connect with.
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What's Next?
We're not stopping at 10k. The real goal is building a marketing engine that runs predictably.
In 2026, we're testing:
• AI-generated video content for short-form (TikTok, Reels, YouTube Shorts)
• Automated content repurposing (turn threads into Medium articles into newsletters)
• Multi-agent workflows (one agent for research, one for writing, one for distribution)
The vision: A fully autonomous marketing pipeline that generates quality content, distributes intelligently, and builds audience while I sleep.
We're not there yet. But we're closer than we were a year ago.
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Join the Journey
This newsletter is my weekly journal of what's working (and what's not) in SaaS marketing. No fluff. No BS.
If you're building a SaaS and need to grow it, subscribe. Let's build in public.
Next week: How we used AI to write 50 blog posts in a week (and why 47 of them failed).
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Jack Co-Founder
Marketing without coding.