Show HN: Sumble – knowledge graph for GTM data – query tech stack, key projects
47 comments
·July 8, 2025bittermandel
I just tried this. HOLY CRAP its good. How did you achieve this? I'm very impressed.
Also: Please don't evolve the UI. Its perfect as it is
pbmango
As the founder of another product in this space - this is super impressive and well built. Great demo video and congrats on top of HN! Getting this smooth UX and data behind the scenes is not easy.
ryanrasti
Wow -- tried it out and looks quite impressive. The granularity of data for these companies is amazing!
My last startup was selling to SMBs. It looks like Sumble is most likely targeted at mid-market and enterprise companies. Any plans to expand coverage into the long tail of smaller companies?
benhamner
Thanks! Our current coverage is focused on companies with a significant online presence (e.g. they've made job posts, people say they at the company, and/or they have a functional website).
Our goal is to have complete coverage for active companies and organizations in the world, and an understanding for companies that previously existed but are no longer active as well (these appear extensively in CRM's and add noise).
We prioritize expanding data coverage in areas that we hear are most useful from our current users and customers.
ryanrasti
Awesome, go crush it!
johnsillings
Sumble is one of my go-to data tools for GTM – great data quality and lots of interesting data points that are kind of a pain to find elsewhere.
I do find myself wanting to transform the data (especially the stuff in job descriptions) using an LLM, e.g. for scoring companies/contacts or looking for more subtle signals. Sometimes I do this manually but exporting a bunch of JDs from Sumble isn't possible AFAIK. Or doing it in Sumble would be great, too.
Awesome to see it on HN. Congrats on the launch!
benhamner
Thanks! Job descriptions are included in job post CSV exports, which is the current only path for that workflow.
We're planning to make that workflow much better in four ways this year:
1. Adding an API to make it easier to consume the data programmatically (next 2 months)
2. Enabling running LLM's on tabular results on Sumble directly that would enable pulling in job description context into the LLM call
3. Experimenting with an MCP endpoint, to see if that's helpful for these workflows as well
4. Experimenting with adding Sumble scoring models
csomar
This is incredibly useful and I can see myself using it and paying a subscription. That being said:
1. I couldn't find some key persons that I know works in an organization. How accurate is the data?
2. I don't know if this is happening because you are getting lots of traffic now, but each query takes 20-30 seconds which is unusable.
> - Is the web app intuitive?
Yes
> - What queries do you want us to prioritize supporting in an API?
Maybe specific but I want to filter by head count in job function (ie: find organizations that have 50-200 software engineers regardless of their total head count).
> - What additional external data sources would you like us to prioritize? - What workflow improvements/integrations would you find most helpful?
I don't really care as long as the data is as accurate as possible. The process of lead generation/research is a slow one that I don't think workflows matter.
benhamner
| 2. I don't know if this is happening because you are getting lots of traffic now, but each query takes 20-30 seconds which is unusable.
Thanks! What queries are you finding painful? Most should be under a second, there's some that are expensive though
csomar
Simple queries. As in typing the name of a person in a company list of 200. Keeps spinning forever.
JasonPunyon
Thanks for taking it for a spin! I'm working on why this is slow now.
benhamner
Thanks! We'll take a look at that one
benhamner
| Maybe specific but I want to filter by head count in job function (ie: find organizations that have 50-200 software engineers regardless of their total head count).
You're not alone! We've heard this from others as well, planning to add it soon
antgoldbloom
People data has ~85% coverage at the moment for people who put their resume data online. We are going to be adding some others sources (e.g. Github profiles) that will help improve coverage, particularly for technical personas.
chsrbrts
Using this product.... big fan. Most important in our GTM stack for building account lists.
ghc
Is there no way to add custom searches? As a test, I wanted to look for flight test engineers in aerospace companies, but the only way I could see to approximate it was to look at job postings. I was able to drill down by picking a company (Boeing) until I found one, but that's really tedious compared to just adding a custom job function ("flight test engineer") or selecting "Test Engineer" and adding a custom industry ("Aerospace").
benhamner
Thanks for the feedback!
The job functions we currently classify have been mostly focused by our early users/customers (companies building products/tools/infrastructure for data and software engineering teams), and handling the multilingual aspects of those across countries well.
We're aiming to extend this in two ways:
1. Adding job title and job description full-text search, to handle the long tail of usecases (in-flight project)
2. Extend the job function classification to the full universe of jobs that people can have
ghc
Job title and job description full text search would really be perfect. At least in my mind, good GTMs are narrow (software engineers in flight test) vs. broad, like selling to all software engineers using python in the manufacturing industry.
richardmeng
Sumble has been my critical tool to research the organization structure and responsibility in a large company, technology adoption like which organization has the LLM adoption.
Congrats on the launch!
jeffchuber
There is so much signal in job posts - excited to see this launch.
Nivge
Congratulations! Looks awesome. 1. I found it very intuitive. 2. If I could have smart filtering using llm classification, that would be very powerful. Any plans on doing that?
antgoldbloom
As in a search box where you can ask free form queries rather than applying filters? We haven't heard much demand for that yet, so haven't prioritized it. We will if it's a common request.
marvinkennis
Looks like an amazing product. Been playing around with it for a few mins. The UI is quite buggy and jumps around a lot (Chrome, MacOS), and seems to auto-refresh on the organizations page, which makes curating lists impossible. What's a good way to keep providing feedback?
ghc
The page is also refreshing constantly for me. Chrome & Safari :(.
antgoldbloom
Can email me at a@sumble.com. Great if you can record a loom.
liorsh
Super useful and intuitive product, love the granularity of the tech stack keywords, it does find relevant leads/companies that you couldn't find otherwise..
API could be helpful for enrichment of internal sources. MCP would also definitely make sense as well
benhamner
Thanks! We're planning to add an API in the next two months, and exploring MCP alongside that
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?