Building startups

You are not short on effort.

You are short on signal.

The usual cycle is dashboards, debates, and interviews that start at zero.

Roadmaps wobble. Messaging stalls. Confidence dips.

There is a calmer way. Start with what your market already says in public.

Turn open-web signals into patterns you can brief the team with.

Pair that with a simple monthly view of how competitors and language shift so decisions stop feeling like a guess.

That’s where I come in.

I run TrendLoom’s Market Radar, a high-touch insight system that gives Seed–Series A teams a continuous, structured read on customers, category, and competitors.

It uses only ethical, public data and an academically grounded framework that combines statistics, ML, and LLMs.

Interviews are not replaced. They are sharpened so you walk in with better hypotheses and leave with decisions you can defend.

I have advised 100+ founders on GTM, messaging, and discovery, and built Zaqlick from my Kellogg-WHU EMBA research into AI-assisted personas. I treat AI as an engine inside a method, not a magic trick.

I help with

• Open-web signals turned into clear patterns
• Competitive intelligence that tracks what changed vs last month
• Product discovery that starts deeper, not from zero
• Messaging that uses real customer language
• Decision protection for roadmap and GTM

Results

• Teams align faster because debates shift from opinions to signals
• Interviews get sharper, messaging tightens, and weak bets are dropped
• Leaders report a steadier sense of “what’s happening now” month to month

There are a few ways to work together:

Start with a 15-minute Signal Check. Bring one question. I will tell you if strong signals exist, what they suggest, and the next best move. If you want deeper support, we roll into Market Radar.

DM me the word “SIGNAL” to see if you are a fit and which path makes sense.

Elena Tsemirava

Zalando SE

Software Engineer

HelloFresh

Backend Engineer

Kudi

- Engineering Hire #2
- I built and maintained core components of the system infrastructure including payments integrations and applications, media management, as microservices in Python, Java, Javascript and Golang.
- I built internal tools for data access and manipulation, analytics and utilities as well as automation using Python.
- I built Chatbots for Telegram and Slack in the first iteration of the company's product offerings.
- I worked with technologies such as Redis, MongoDB, Amazon SQS, Apache Kafka

IEEE OAU Student Branch

- Student Branch Chair (2015/2016), Financial Secretary (2014/2015), Chair, Robotics and Automation Society (2014)
- I led a team of over 10 executives and increased membership and participation. 
- I managed the IEEE OAU Community which was a major player in the OAU Tech ecosystem.
- I organised Student Professional Awareness Conference (SPAC) 2016 with an attendance of about 400 students across branches in the country. http://terragongroup.com/ieee-oau-partners-terragon-group-hold-professional-awareness-conference/
- Participated in IEEEXtreme 6.0, 7.0 and 9.0
- IEEE OAU came first and second overall in IEEE Xtreme 9.0
- Managed correspondence with Local and International parent body of the organisation
- Organised trainings and workshops during semester breaks.
- Organised General Assemblies where over fifty students gathered fortnightly to learn from respected voices in the tech ecosystem on topics ranging from Security to Big Data, Robotics, Embedded Systems design, Computer Communcation.

Branch Chair

Terragon Group

- Developed Mobile Augmented Reality Based Solutions for Digital Marketing using Vuforia SDK.
- Worked with Asterisk for IVR response for Mobile Marketing 
- Helped extend and maintain existing projects in Java EE and PHP.

Software Engineering Intern

Software Engineer. Electrical Engineer by training. Keen on providing innovative solutions to problems. I buid Web Services and APIs with high availability, scalability and resilience in mind. In no particular order, my interests are in Startups, Distributed Systems, Artificial Intelligence and Robotics.


Tech Stacks/Tools;
Preferred Programming Languages: Go, Java, Python, Javascript
DBMS: MySQL, PostgreSQL, MongoDB.
Ops/Infra Tools: Kubernetes, Docker, Terraform.

taplio

The Battle

Elena Tsemirava

Michael Okuboyejo

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