antgoldbloom

Sumble is the newco from the founders of Kaggle. We are hiring full stack engineers, ai/ml engineers and growth/marketing. Can view our roles and apply here: https://sumble-inc.workable.com/ We are building a knowledge graph from web data with a first focus on data for go-to-market teams.

We use web data to identify things like org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations). Our product already has strong product-market fit, early revenue, and happy customers — and now we’re ready to accelerate.

Our long-term vision is to become the world's best data vendor. Try the product at sumble.com.

We are a team of 25 with experience at companies such as Google, Meta, Stack Overflow, Rippling, Snowflake, Confluent and Kaggle.

We raised $38.5MM from Coatue, Canaan, Square Peg Capital https://techcrunch.com/2025/10/22/sumble-emerges-from-stealt...

Sumble is the newco from the founders of Kaggle. We are hiring full stack engineers, ai/ml engineers and growth/marketing. Can view our roles and apply here: https://sumble-inc.workable.com/

We are building a knowledge graph from web data with a first focus on data for go-to-market teams.

We use web data to identify things like org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations). Our product already has strong product-market fit, early revenue, and happy customers — and now we’re ready to accelerate.

Our long-term vision is to become the world's best data vendor. Try the product at sumble.com.

We are a team of 25 with experience at companies such as Google, Meta, Stack Overflow, Rippling, Snowflake, Confluent and Kaggle.

We raised $38.5MM from Coatue, Canaan, Square Peg Capital https://techcrunch.com/2025/10/22/sumble-emerges-from-stealt...

Pretty stunning chart that shows how much progress Claude is making in the enterprise.

"First Mentions" is a good metric for tracking momentum: keeping an existing tool in a recycled job description is a passive decision, but explicitly adding a new technology for the very first time requires an active decision.

ChatGPT plateaued around Q3 2025, while Anthropic’s growth curve went vertical shortly after. As of early 2026, Claude has completely closed the gap and is now tying ChatGPT in new enterprise adoption.

Sumble is the newco from the founders of Kaggle. We are hiring full stack engineers, ai/ml engineers and growth/marketing. Can view our roles and apply here: https://sumble-inc.workable.com/

We are building a knowledge graph from web data with a first focus on data for go-to-market teams.

We use web data to identify things like org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations). Our product already has strong product-market fit, early revenue, and happy customers — and now we’re ready to accelerate.

Our long-term vision is to become the world's best data vendor. Try the product at sumble.com.

We are a team of 25 with experience at companies such as Google, Meta, Stack Overflow, Rippling, Snowflake, Confluent and Kaggle.

We recently announced a $38.5MM financing: https://techcrunch.com/2025/10/22/sumble-emerges-from-stealt...

Sumble is the newco from the founders of Kaggle. We are hiring full stack engineers, ai/ml engineers and growth/marketing.

Can view our roles and apply here: https://sumble-inc.workable.com/

We are building a knowledge graph from web data with a first focus on data for go-to-market teams.

We use web data to identify things like org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations). Our product already has strong product-market fit, early revenue, and happy customers — and now we’re ready to accelerate.

Our long-term vision is to become the world's best data vendor. Try the product at sumble.com.

We are a team of 25 with experience at companies such as Google, Meta, Stack Overflow, Rippling, Snowflake, Confluent and Kaggle.

We recently announced a $38.5MM financing: https://techcrunch.com/2025/10/22/sumble-emerges-from-stealt...

These are evergreen roles.

Sumble is the newco from the founders of Kaggle. We are hiring a designers, full stack engineers and ai/ml engineers.

Can view our roles and apply here: https://apply.workable.com/sumble-inc/ We are building a knowledge graph from web data with a first focus on data for go-to-market teams.

We use web data to identify things like org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations). Our product already has strong product-market fit, early revenue, and happy customers — and now we’re ready to accelerate.

Our long-term vision is to become the world's best data vendor. Try the product at sumble.com.

We are a team of 19 with experience at companies such as Google, Meta, Stack Overflow, Rippling, Snowflake, Confluent and Kaggle.We just announced a $38.5MM financing: https://techcrunch.com/2025/10/22/sumble-emerges-from-stealt...

Sumble is the newco from the founders of Kaggle. We are hiring a designer engineers (full stack, FE, data engineers, machine learning/ai). Can view our roles and apply here: https://apply.workable.com/sumble-inc/

As background, we are building a knowledge graph from web data with a first focus on data for go-to-market teams. We use web data to identify things like org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations). Our product already has strong product-market fit, early revenue, and happy customers — and now we’re ready to accelerate.

Our long-term vision is to become the primary destination for accessing high-quality web data. Try the product at sumble.com.

We are a team of 17, including 12 engineers with experience at companies such as Google, Meta, Stack Overflow, and Kaggle.We just announced a $38.5MM financing: https://techcrunch.com/2025/10/22/sumble-emerges-from-stealt...

Sumble is the newco from the founders of Kaggle. We are hiring software engineers, data engineers, machine learning/ai engineers, growth and a designer.

Can view our roles and apply here: https://apply.workable.com/sumble-inc/

As background, we are building a knowledge graph from web data with a first focus on data for go-to-market teams. We use web data to identify things like org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations). Our product already has strong product-market fit, early revenue, and happy customers — and now we’re ready to accelerate.

Our long-term vision is to become the primary destination for accessing high-quality web data. Try the product at sumble.com.

We are a team of 15, including 10 engineers with experience at companies such as Google, Meta, Stack Overflow, and Kaggle.

Sumble is the newco from the founders of Kaggle. We are hiring software engineers, data engineers, machine learning/ai engineers, a product manager and a designer. Can view our roles and apply here: https://apply.workable.com/sumble-inc/

As background, we are building a knowledge graph from web data with a first focus on data for go-to-market teams. We use sources like job posts and resume data to identify things like org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations). Our product already has strong product-market fit, early revenue, and happy customers — and now we’re ready to accelerate.

Our long-term vision is to become the primary destination for accessing high-quality web data. Try the product at sumble.com.

We are a team of 15, including 10 engineers with experience at companies such as Google, Meta, Stack Overflow, and Kaggle.

Here’s the announcement https://www.kaggle.com/blog/announcing-kaggle-benchmarks

I was founder and ceo of kaggle. I’ve been out of kaggle for 2.5 years. Super excited to see this announcement. Could solve the biggest problem in the LLM ecosystem.

Very cool! Do you see this as an intellectual curiosity? Or are there powerful new types of software that the voideare concept makes possible?

What query are you trying to run? Can email me at a@sumble.com and I can see if we can support your query.

We plan to put some data outside the login wall to see what we have without logging in. Haven't put time into this flow yet.

Can email me at a@sumble.com. Great if you can record a loom.

Currently aiming for next 2 months.

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.

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.

It's a mix. Some companies write nice posts with very specific projects. Some are vague and full of buzz words. As an example, Trafigura have the nice pattern of posting a project the new hire will tackle in their first six months (e.g. https://sumble.com/l/z6m9djMq9H).

Link should be working now (albeit a bit slow). Seems like we have been receiving more than the usual amount of traffic today.

Appreciate the nice words. If you want to explore the data in more depth, you might enjoy poking around in this Marimo app: https://marimo.io/p/@sumble/gen-ai?show-code=false

You can see the full list of corporate use cases.

Sumble | Remote in US timezone | Full-time

Sumble is building a data scientist friendly repository of external datasets.

Founders: Anthony Goldbloom and Ben Hamner (previously founders of Kaggle,a large ML community)

Looking for first two hires: - Full stack web dev to rebuild prototype (stack flexible but bias to python and react) - ML/data engineer to turn prototype models and pipelines into something more robust (stack flexible but bias to python based tools)

Email: anthony@sumble.com

I wrote this app to as an excuse to learn React and to help pick a name for the baby we're expecting.

I've since found that I'm using it semi-regularly for other subjective decisions: most recently choosing a holiday destination.

Posting it here in the hope that others also find it useful.

To elaborate on leakage: it's a case where something in the training or test dataset wouldn't be available in a production setting.

As a funny example: I remember we were once given a dataset to predict prostate cancer from ~300 variables. One of the variables was "had prostate cancer surgery". Turned out that was a very good predictor of prostate cancer ;). Thankfully that was an example where we caught the leakage. Unfortunately there are cases where we don't catch the leakage.

Kaggle CEO here.

Agree with a mild version of the author's statement: that for many competitions, the difference between top n spots is not statistically significant. However, the author's statement (as represented by this chart https://lukeoakdenrayner.files.wordpress.com/2019/09/ai-comp...) is far too strong.

The actual best model may not always win, but will typically be in the top 0.1%.

There are people on this thread who have poked holes in the author's sample size calculator (I'm not going to rehash that).

But an empirical observation: the same top ranked Kagglers consistently perform well in competition after competition.

You can see this by digging through the profiles of top ranked Kagglers (https://www.kaggle.com/rankings). Or by looking at competition leaderboards. For example the leaderboard screenshot the author shared in the post (https://lukeoakdenrayner.files.wordpress.com/2019/09/pneumo-...) shows 11 of the 13 top performers are Masters and Grandmasters, which puts them at the top ranked 1.5K members of our community of 3.4MM data scientists (orange and gold dots under the profile pictures indicate Master and Grandmaster rank).

I actually think the author's headline is often correct: there are many cases where machine learning competitions don't produce useful models. But for a completely different reason: Competitions sometimes have leakage.

This is our (pretty naive) bot: https://www.kaggle.com/product-feedback/62759

Kaggle | SF, Sunnyvale, Seattle, NYC | Onsite or Remote

Eng Manager for the Kaggle Kernels team (team of 10 engineers) Tech stack: C#, Python, Typescript and React

Kaggle Kernels is a cloud-based workbench/IDE for data science and machine learning. This is Kaggle's fastest growing product.

Kaggle is the world's largest community of data scientists and machine learners with over 2MM members. We were acquired by Google in March 2017 but operate as our own brand and team.

Apply at: https://www.kaggle.com/about/career-kernels

Sharing because this is a nice intro deck that new people on our team (Kaggle) have found useful for coming up to speed on ML

Also interesting forum thread where users are sharing their approach and scores. So far the top performing bot has a 46% win rate: https://www.kaggle.com/learn-forum/58735#post361651

Posted this earlier but with a link that hit a login wall, which is why I'm reposting.

Kaggle | San Francisco | Full Time | ONSITE or REMOTE | UX Design

You can read the job req and apply here: https://www.kaggle.com/careers/uxdesigner?utm_source=hn

Kaggle is the world's largest machine learning community with over 1.2MM members. Users come to Kaggle to compete in machine learning competitions, share their work through Kaggle Kernels (our cloud based data science workbench) or find datasets on our open data platform.

In March 2017, Kaggle was acquired by Google. Kaggle continues to operate as an independent brand and team within Google.

This is an exciting role for designers. We push features often and get immediate feedback from our community (in the form of user comments and usage levels).

We've made three hires via HN posts, so we take HN referrals very seriously.