How Tweetscrape Built a $5K MRR Business in 120 Days

Tweetscrape helps businesses find email addresses from specific groups or interests on Twitter. This allows them to create focused lists of potential customers who are more likely to respond.

For example, businesses can build a list of US entrepreneurs by using Tweetscrape to extract data of Alex Hormozi's Twitter follower list.

Tweetscrape launched around the time of a major Twitter data leak, offering a new way for businesses to gather contact information from Twitter. Around the same time, other similar tools like Scrapybird, Tweetscraper, and others also appeared.

While it's impossible to say for sure if these tools rely on leaked data (since admitting to using it could lead to serious legal trouble), the timing of their release, right after the leak of a massive database of 200 million Twitter users, is noteworthy.

It is certainly not the first startup to use unethical growth hacks to win.

Growth Strategy Analysis

Tweetscrape achieved remarkable growth, reaching $5,000 in Monthly Recurring Revenue (MRR) within just 120 days of launch.

Tweetscrape addresses a critical market need by enabling businesses to generate high-quality leads through Twitter data extraction.

The platform specifically targets companies seeking efficient lead generation through social media channels.

Cold Email Campaign Success

Tweetscrape's primary growth engine leveraged a systematic cold email approach using Instantly AI:

• Daily outreach volume: 100 emails

• Conversion rate: 1%

• Average customer acquisition: 1 new customer per day

• Total impact: 90 out of 100 paying customers acquired through cold email

The success of this strategy stemmed from highly targeted prospect lists generated by scraping followers of niche email marketing and lead generation micro-influencers like Cold Email Wizard.

Facebook Advertising ROI

The Facebook advertising strategy turned $200 into $800 monthly revenue (4x ROI) through specific tactics and optimization:

1. Creative Development

• Tested both video and image formats

• Created multiple variations of each ad

• Focused on clear value proposition

2. Audience Building Process

• Identified competitor Twitter accounts in lead generation and cold email niches like Instantly, SmartLead, Cold Email Wizard.

• Used Tweetscrape to extract follower data:

  • Created 2-3 separate lists

  • Each list contained 1,000-2,000 emails

  • Focused on followers of complementary products since there weren't many big competitors as Tweetscrape

3. Lookalike Audience Creation

• Uploaded extracted email lists to Facebook

• Created lookalike audiences for each list

4. Campaign Structure

• Matrix testing approach:

  • 3 different creatives

  • 3 distinct audiences

  • 9 total combinations

• Minimum one-week testing period

• Patient optimization approach

5. Performance Optimization

• Tracked ROAS for each combination

• Scaled winning combinations (3.5-4x ROAS)

• Eliminated underperforming variants

• Maintained profitable campaigns for consistent growth

Tweetscrape's rapid growth to $5K MRR shows that providing contact information of leads in any B2B SaaS vertical to solve specific, high-value problems can lead to a thriving business.

Top Tweets of the day

1/

E-commerce is a hard business. So is restaurant. And social apps. Plus games, especially indie games.

Content is easy until you want to cross a threshold of $30m-$50m. And then it gets hard. But its a much easy path to $5m-$10m.

Mobile apps became easier due to cross-platform frameworks (React Native / Flutter) and AI. But the most improvement came from distribution from TikTok and Instagram Reels.

SaaS is the easiest of them all. You can make $1b business slowly with it by being not-so-wicked-smart. SaaS is slow but consistent. Hard to go rocketship in SaaS unless you ride a wave but still easy comparatively to all of the above.

Content + SaaS + Mobile Apps rule above all else. The ROI in these particular businesses for effort is higher than others.

2/

Software Defaults are the golden path.

3/

Anthropic CEO Dario Amodei (the makers of Claude AI) said in an interview recently: "Talent density beats talent mass every time. You want to work with small number of extremely talented people."

AI will turn that into reality extremely quickly as AI easily replaces junior and mid-level engineers.

CEOs would rather pay 1 cracked senior-engineer $350k per year in compensation than hiring 5 mid-level engineers for $120k per year. Its just basic math ($350k > $600k) while the output remains the same and management has less overhead.

Rabbit Holes

1. The Internet is Fake (Dead Internet Theory) by ColdFusion

2. Ins & Outs of Demographic Data & Segmentation to Enrich Business by Steven Goh

3. How I got the LinkedIn Top Voice badge in just 5 days by /r/linkedin

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