Suggestions
Kermin Zahirovic
Bridging the gap between IT and marketing - JavaScript Full-Stack Developer & Conversion Engineer
Kermin Zahirović is a dynamic individual who identifies as part Developer, part Marketer with a player coach mindset focused on amalgamating technology, data, and marketing.
He thrives in the fast-paced and ever-evolving environments of start-ups and scale-ups, drawn to the constant challenges and innovations they offer.
In 2019, Kermin became part of the MarTech Team at sevDesk, Germany’s top accounting platform, where he spearheaded the design and development of scalable and effective solutions.
His expertise lies in the realms of the web, data, tracking, and experimentation, showcased through his adeptness in planning, constructing, testing, and launching intricate A/B experiments and personalizations.
In the same year, he launched a developer-friendly conversion platform called abrocket.io, demonstrating his entrepreneurial spirit and technical acumen.
Kermin Zahirović is a proficient professional in both front-end and back-end technical solutions, excelling in HTML, CSS, JavaScript, jQuery, ReactJS / Redux, NodeJS / Express, and MongoDB.
His consulting services are value-driven, particularly showcased during his tenure at Kameleoon, a prominent Personalization Platform based in Paris, where he assisted teams and organizations in implementing and launching AB tests to drive outcomes and boost revenue.
Kermin's educational background includes studying Economic Computer Science at Offenburg University of Applied Sciences.
His professional journey includes roles such as Web Developer at sevDesk, Creator at AB Rocket, Freelance Consultant at DEVTREK – Web & Digital Marketing, Technical Consultant at Kameleoon, and Frontend Developer at TYPOLOFT.
Some of the buzzwords associated with Kermin Zahirović's expertise are JavaScript, React / Redux, NodeJS, Coding, Programmer / Engineer / Developer, and Conversion Engineer.
Highlights
Diese AI-Suchmaschine ist derzeit mein zweitliebstes Tool, direkt nach ChatGPT.
Als Startup-Gründer sind Recherchen zu diversen Themen mein tägliches Brot.
Besonders wenn es um Zahlen, Daten und Fakten geht, bin ich oft frustriert, weil ich keine Lust habe, Websites zu durchsuchen, die eher einer wissenschaftlichen Ausarbeitung auf Doktorarbeit-Niveau gleichen als einer übersichtlichen Landingpage.
Seitdem ich auf diese Lösung gestoßen bin, hat sich das definitiv geändert:
Perplexity AI.
Das Unternehmen, das erst 2022 gegründet wurde, wird bereits mit über 1 Milliarde Dollar (!) bewertet.
Aber was ist der entscheidende Unterschied zu Google?
Das lässt sich am besten anhand eines Beispiels erklären:
Ich möchte einige Fakten zur Entwicklung der Startup-Landschaft in Deutschland sammeln.
Mit Google:
- Suchanfrage stellen
- Suchergebnisse durchsehen (Beschreibungen und Quellen/URLs prüfen)
- Webseiten besuchen und auf Relevanz prüfen
- Inhalte kopieren und zwischenspeichern
- Rechnen, vergleichen (mehre Tabs offen)
- Mit ChatGPT weiterverarbeiten oder direkt in die Notizen einfügen
Perplexity AI hingegen verkürzt diesen Prozess erheblich:
- Suchanfrage stellen
- Zusammengefasste Ergebnisse aus verschiedenen Quellen erhalten und direkt in die Notizen überführen
Optional gibt es noch passende Follow-Up-Fragen, die den Kontext weiter beleuchten.
Was ich daran besonders spannend finde, ist der durch AI getriebene Wandel in der Art und Weise, wie wir Informationen konsumieren.
Es reicht nicht mehr aus, nur die relevantesten Daten zu liefern.
Wir wollen diese Daten gut aufbereitet und schnell zugänglich haben.
Niemand interessiert sich wirklich für die Suchergebnisse (Grüße gehen raus an alle SEOs da draußen 😉) – es geht um die Informationen und Daten dahinter.
Einen ähnlichen Ansatz verfolgen wir bei bimetrics. Wir vereinfachen die Analyse deiner Finanzdaten mithilfe von AI. Grundlage dafür sind die Daten aus Buchhaltung und Bankkonten.
Anstatt mehrdimensionale Tabellen a la Excel oder Google Sheets, bei denen dir schwindelig wird, erhältst du einfach die Antworten auf deine Fragen.
Klingt gut?
Aktuell befinden wir uns in einer geschlossenen Testphase.
Falls du Interesse an einer Demo hast, schreibe mir einfach eine DM oder buche die über unsere Website bimetrics.de einen Demo-Termin.

Booking.com runs 25,000 A/B tests annually – here is how: 👇
In 2017 Stuart Frisby has shared 10 amazing principles that demonstrate how Booking.com has integrated experimentation into its core business strategy for growth. Let's dive in…
➡️ 1. If it can be a test, test it.
At Booking, we test everything that can be tested in order to improve performance and introduce new features. If something cannot be tested, it is unlikely to be implemented.
➡️ 2. No platform goes untested.
We make sure that every platform we use undergoes thorough testing.
➡️ 3. No HIPPOs.
We believe in democratizing testing and avoiding the influence of "HIPPOs" (highest paid person's opinion) in experimentation.
➡️ 4. Teams are made for testing.
Our teams are designed to be able to fully test hypotheses independently, without dependencies or bottlenecks on other teams or parts of the business. Each team member supports the testing of hypotheses.
➡️ 5. Everyone gets 100% access.
Everyone has access to all the information they need to develop valuable hypotheses.
➡️ 6. Hypotheses > ideas.
We prioritize testing hypotheses over simply generating ideas, as hypotheses are grounded in reality and require proof or disproof, whereas ideas do not. We believe that those who come up with hypotheses are designers, whereas those who come up with ideas are artists.
➡️ 7. Test Small.
We test small to limit risk and investment. By testing small, atomic experiments, we can make small investments and better understand what works and what doesn't.
➡️ 8. Guidelines > Rules.
We have guidelines for testing, but we also encourage creativity and flexibility in experimentation. We recognize that AB testing can be difficult and requires both a supportive culture and knowledge to be successful.
➡️ 9. 9/10 tests fail.
We understand that many tests will fail - often as much as 9 out of 10. As we continue to test, we may find that the low-hanging fruit is no longer within reach, and even well-conceived tests can fail for various reasons. However, we believe that the research and learning gained from these failed tests is valuable.
➡️ 10. Customers drive the product.
We believe that the best way to drive product development is through small, incremental steps that can be measured and informed by customer feedback.
Highly recommend to watch the video: https://lnkd.in/eT8Zj8ma
