Peloton
Circuit mix
Where Peloton 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 science40%1 event
- Vendor flagships & roadshows20%1 event
- Open-source data infrastructure20%1 event
- Cloud providers20%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
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 |
|---|---|---|---|---|---|---|---|---|---|---|
| PyCon (national Python conferences) | ||||||||||
| AWS re:Invent | ||||||||||
| Informatica World | ||||||||||
| OpenXData |
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.
- Gold
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2019.
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.
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- PyCon (national Python conferences)once, 2019, Gold
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).
- Takeda0.97
- Michelin0.85
- Octopus Energy0.84
- Novetta0.83
- Fastly0.83
- Linode0.82
- AlphaSense0.81
- Klarna0.80
16 Cluster: PyCon · EuroPython circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| ActiveCampaign | 1 | 100% |
| ActiveState | 1 | 100% |
| Amazon Web Services | 1 | 100% |
| American Greetings | 1 | 100% |
| Anaconda | 1 | 100% |
| Anvil | 1 | 100% |
| AQR Capital Management | 1 | 100% |
| BeeWare Project | 1 | 100% |
| Blameless | 1 | 100% |
| Bloomberg | 1 | 100% |
| Booz Allen Hamilton | 1 | 100% |
| Braintree Payments / PayPal | 1 | 100% |
| Caktus Group | 1 | 100% |
| Cambridge Spark | 1 | 100% |
| Capital One | 1 | 100% |
Neighborhood: companies with nearby conference footprints
Peloton (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 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| PyCon US 2019 | May 1–9, 2019 | Cleveland, United States | Gold | Gold |
Speakers 3
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Amaresh Bingumalla | OpenXData 2025 | speaker | How Our Team Used Open Table Formats to Boost Querying and Reduce Latency for Faster Data Access | — |
| Vijay Pappu | AWS re:Invent 2023 | chalk talk | Powering Peloton’s journey to personalization with AWS | — |
| Tembi Sibanda | Informatica World 2021 | featured | — | — |