Get live statistics and analysis of Elena Mira's profile on X / Twitter

Years running marketing research 🧬: I can tell which products will sell before you build them. Built Zaqlick to scale that. I share how to read real demand.

1k following777 followers

The Analyst

Elena Mira is a data-driven marketing researcher who excels at predicting product demand before it even hits development. She combines deep technical skills in Python and data science with years of hands-on entrepreneurial experience. Her content is a blend of practical insights, founder psychology, and AI-powered market analysis.

Impressions
161.8k-1.6k
$30.34
Likes
946-142
75%
Retweets
501
4%
Replies
214-12
17%
Bookmarks
445
4%

Top users who interacted with Elena Mira over the last 14 days

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Status updates of my projects every single day.

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1 interactions
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Elena’s so committed to repeatable results, she probably runs her morning coffee intake as a KPI and has a spreadsheet tracking which sock combinations optimize her productivity. If only she could automate decision fatigue for choosing what to wear!

Successfully founded Zaqlick, a platform that leverages real market data and AI to help early-stage founders validate their ideas before building, transforming customer discovery into a precise science.

To empower founders and product managers to make informed, data-backed decisions that reduce guesswork and increase the chances of building products people truly want.

Elena believes mastery of craft is the foundation of entrepreneurship and that real growth comes from consistent, repeatable results grounded in rigorous data analysis. She values accountability, continuous learning, and transparency in the startup journey.

Her strengths lie in causal thinking, rigorous data interpretation, and building synthetic personas that help founders anticipate market signals. She's persistent in turning failures into repeatable success through methodical practice.

Her intense focus on data and repeatable outcomes might sometimes make her message seem a bit too technical or intimidating for early-stage founders who crave simple, quick wins.

To grow her audience on X, Elena should mix her analytical deep-dives with more relatable storytelling and mini case studies featuring real founders’ struggles and wins. Thread formats that break down complex analytics into digestible, actionable steps will attract engagement, as will interactive polls on common startup dilemmas.

Fun fact: Elena learned Python and data science at 40 to pivot from relying on external fixes to building a reliable core skillset, proving that it's never too late to skill-up for real impact.

Top tweets of Elena Mira

2k

Mastery comes before entrepreneurship if you want real results. I learned that the hard way. For 20 years I tried to build on titles and energy. I could pitch. I could plan. I could not deliver the same outcome twice. At 45, in Germany, with two kids and no network, I went back to basics. I did EMBA, learned Python and data science. Not for a certificate. For repeatable results. Business sits on a craft you can depend on. If you skip that, you try to buy fixes from outside. Marketing, sales, packaging. None of them fix a weak core. Here’s the readiness test I use now. ✅ Define your craft outcomes. Keep a simple results log with what you did and the result it produced. Action. Metric. Timeframe. ✅ Practice causal thinking. When something fails, write two changes you will make before you do it again. Then run it. ✅ Price for thinking. Scope analysis and decisions into the fee. Clients pay for judgment, not just hands. ✅ Stack accountable reps. Take work where you own a KPI. Predict it. Hit it. Then increase the scope. ✅ Do not use entrepreneurship to escape a boss. Use it to accept more responsibility. This is how I build Zaqlick. We turn real calls and market data into synthetic personas so founders and Product Managers can test messages before they build. I keep a live log. Prompts changed. Datasets updated. Acceptance rates. Time to insight. If it breaks, I change the pipeline first, not the landing page. I listen to data, but also to myself. If I cannot point to three results I can repeat, I keep training and take more accountable projects. Do the reps. Make your own calls. Earn it with craft. I’m not there yet. I’m still learning.

725

Most engaged tweets of Elena Mira

Mastery comes before entrepreneurship if you want real results. I learned that the hard way. For 20 years I tried to build on titles and energy. I could pitch. I could plan. I could not deliver the same outcome twice. At 45, in Germany, with two kids and no network, I went back to basics. I did EMBA, learned Python and data science. Not for a certificate. For repeatable results. Business sits on a craft you can depend on. If you skip that, you try to buy fixes from outside. Marketing, sales, packaging. None of them fix a weak core. Here’s the readiness test I use now. ✅ Define your craft outcomes. Keep a simple results log with what you did and the result it produced. Action. Metric. Timeframe. ✅ Practice causal thinking. When something fails, write two changes you will make before you do it again. Then run it. ✅ Price for thinking. Scope analysis and decisions into the fee. Clients pay for judgment, not just hands. ✅ Stack accountable reps. Take work where you own a KPI. Predict it. Hit it. Then increase the scope. ✅ Do not use entrepreneurship to escape a boss. Use it to accept more responsibility. This is how I build Zaqlick. We turn real calls and market data into synthetic personas so founders and Product Managers can test messages before they build. I keep a live log. Prompts changed. Datasets updated. Acceptance rates. Time to insight. If it breaks, I change the pipeline first, not the landing page. I listen to data, but also to myself. If I cannot point to three results I can repeat, I keep training and take more accountable projects. Do the reps. Make your own calls. Earn it with craft. I’m not there yet. I’m still learning.

725
2k

Drafted the first #FirstMileFriday post today, making it a weekly ritual. Rituals build consistency --> consistency builds trust. #buildinpublic

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