Multitudes
Circuit mix
Where Multitudes shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Modern data stack & practitioner50%3 events
- Python & R data science50%2 events
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 |
|---|---|---|---|---|---|---|---|---|---|---|
| DataEngBytes | ||||||||||
| PyCon (national Python conferences) |
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.
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2024.
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, 2024, Startup tier
Not on the company map: lookalikes are computed only for companies present at four or more conferences.
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Acorn Labs | 1 | 100% |
| CipherStash Pty Ltd | 1 | 100% |
| Elastic | 1 | 100% |
| 1 | 100% | |
| Ikigai Labs | 1 | 100% |
| Kraken | 1 | 100% |
| Linux Australia | 1 | 100% |
| MongoDB | 1 | 100% |
| Python Software Foundation | 1 | 100% |
Sponsorships 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| PyCon AU 2024 | Nov 22–26, 2024 | Melbourne, Australia | startup | Startup |
Speakers 5
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Vivek Katial | PyCon AU 2025 | talk | A case study on building our first LLM feature – how to balance speed + quality | Video |
| Lauren Peate | DataEngBytes 2024 Auckland | panelist | Data Ethics Panel | Video |
| Emily Melhuish | DataEngBytes 2024 Sydney | speaker | How to NOT build a data integration | Video |
| Emily Melhuish | DataEngBytes 2023 Melbourne | speaker | What do cows, rockets and developers all have in common? | Video |
| Emily Melhuish | DataEngBytes 2023 Melbourne | panelist | Melbourne Data Engineering Panel | Video |