OLX Group
Circuit mix
Where OLX Group shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Python & R data science50%4 events
- Open-source data infrastructure21%2 events
- Modern data stack & practitioner14%2 events
- Enterprise, analyst & AI expos7%1 event
- AI engineering & MLOps7%1 event
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
Activity by year
Three measures on one year axis; each panel has its own scale. 2027, 2028 is still mostly ahead, so its bars are faded and incomplete.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Platinum
- Other / unlabeled
Where they've grown or pulled back
FlatSponsored 1 conference in 2026, flat from 1 in 2020.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
New 1
First sponsored in 2025 or later.
- PyCon (national Python conferences)first sponsored 2026, tier not listed
Once or on and off 2
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- Berlin Buzzwordsonce, 2020, unranked tier
- PyDataonce, 2019, Platinum
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- Philip Morris International0.92
- Haystack0.92
- Mercari0.88
- bol.com0.80
- Allegro0.80
- Vinted0.80
- Spare Cores0.79
- Delivery Hero0.78
8 Cluster: PyData · posit::conf circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 4 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| EuroPython Society | 2 | 50% |
| IBM | 2 | 50% |
| JetBrains | 2 | 50% |
| Python Software Foundation | 2 | 50% |
| 7 Puentes | 1 | 25% |
| Abacum | 1 | 25% |
| Acámica | 1 | 25% |
| Ada | 1 | 25% |
| AI.Monday | 1 | 25% |
| Anaconda | 1 | 25% |
| ASAPP | 1 | 25% |
| Astronomer | 1 | 25% |
| Auth0 | 1 | 25% |
| AXA | 1 | 25% |
| Ayi & Asociados | 1 | 25% |
Neighborhood: companies with nearby conference footprints
OLX Group (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
Sponsorships 4
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| PyConES 2026 | Nov 6–8, 2026 | Barcelona, Spain | — | Unlabeled |
| Berlin Buzzwords 2020 (vbuzz) | Jun 7–12, 2020 | — | Contributor | Other |
| PyCon DE & PyData Berlin 2019 | Oct 9–11, 2019 | Berlin, Germany | Platinum | Platinum |
| PyData Córdoba 2019 | Sep 27–29, 2019 | Córdoba, Argentina | Platinum | Platinum |
Speakers 9
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Jakub Orłowski | Airflow Summit 2025 | talk | Simplifying Data Management with DAG Factory | Video |
| Katarzyna Kałek | Airflow Summit 2025 | talk | Simplifying Data Management with DAG Factory | Video |
| Szymon Bortel | Data & AI Warsaw Tech Summit 2025 | speaker | Building efficient ecosystem to visualise cube metrics. From native cubes to hyper-log-log. | — |
| Catarina Gonçalves | Haystack EU 2024 | speaker | Learning-To-Rank Framework - how to train an army of models? | Slides · Video |
| Marcin Gumkowski | Haystack EU 2024 | speaker | Learning-To-Rank Framework - how to train an army of models? | Slides · Video |
| Inga Janczuk | PyCon DE & PyData Berlin 2023 | talk | When A/B testing isn’t an option: an introduction to quasi-experimental methods | — |
| Ioannis Zempekakis | NDSML Summit 2022 (6th edition) | speaker | — | — |
| Andreas Merentitis | Ai, Data Analytics & Insights Summit DACH Online 2021 | speaker | — | — |
| Alexey Grigorev | PyCon DE & PyData Berlin 2019 | talk | Fighting fraud: finding duplicates at scale | — |