I’m Anthony, co-founder/CEO of Sumble. I was previously co-founder/CEO of Kaggle. Sumble is my newco with Ben Hamner (former co-founder and CTO of Kaggle).

### What we built

Sumble is a knowledge graph for go-to-market teams. We allow you to run very rich queries to identify prospects at a granular level and be able to do very targeted outreach.

Sumble allows you to find:

- tech stacks (in larger companies, down to the team or buying group level) - key projects those teams are working on (cloud migrations, GenAI initiatives, etc.) - people involved in those key projects

For example, here's a list of GenAI projects at Capital One that involve RAG/Vector databases: https://sumble.com/l/6sDqKmhyAH

And this view includes a list of people who we think are involved in a particular project being undertaken by the AI Foundation Team at Capital One: https://sumble.com/l/j8mbRrDsly

These views allow you to reach out to that team with a granular understanding of what they are working on.

### Inspiration

Sumble was very much inspired by our experience at Kaggle:

1. Kaggle’s public-data platform showed us how hungry people are for high-quality data (the metrics on that product were really strong)

2. At Google we saw knowledge graphs unlock powerful and composable queries

### Trying it out

- The app is live today; you’ll need to log in (Google OAuth or magic links)

- Most functionality and data are free; we only charge individual users for bulk exports

### How it works (briefly)

- Sources: job posts, resume data, company websites (more to come!)

- Extraction & linking: We use LLM (mostly fine-tuned models) to extract entities out of text from sources (company → team → people on a team → projects the team is undertaking → technology the team uses)

### What’s next

- Adding more sources so you can run even more composable queries

- Opening an API so devs can hit the graph directly

- Much later: expand to use cases beyond GTM

### Feedback

- Is the web app intuitive?

- What queries do you want us to prioritize supporting in an API?

- What additional external data sources would you like us to prioritize? - What workflow improvements/integrations would you find most helpful?

1.	Show HN: Let your local agents trade on internal prediction markets(implicitmarkets.com) 3 points by catpower 61 days ago \| 0 comments
2.	In two-thirds of heterosexual couples, the man is at least a year older(nytimes.com) 59 points by catpower 8 years ago \| 52 comments

user:	catpower
created:	September 5, 2017
karma:	31