Data and AI struggles

1,730 problems · 342 companies

Cloud and tool cost

Warehouse compute costs spiral out of control

6 posts from 6 people6d activeFading, +0 this week

Posts per day

Posts per day6 posts, Sep 9 to Nov 9

The posts behind it

GitHub issuesdagster-io/dagster · Ella6882Oct 28

Add Dagster+ Insights guide and integration for Databricks usage and cost

## What's the use case? Teams running data pipelines on Databricks through Dagster need the same visibility into **query usage and cost** that Dagster+ Insights already provides for [Google BigQuery](https://dagster.io/docs/guides/observe/insights/google-bigquery) and...

App Store reviewsClaude App Store reviewsOct 25

I’ve noticed my Claude credits running out much faster

...I’ve noticed my Claude credits running out much faster than before, and it’s becoming frustrating to rely on it for work. It interrupts my workflow and makes me question the value I’m getting. Please provide clearer information about how usage is calculated and communicate any...

Redditr/googlecloud · u/vibecoder3000Sep 30

BigQuery bill jumped and I can't tell why, where do I look?

...it for this. Also, should we be looking at the editions pricing instead of on-demand? Any tips are welcome..

Redditr/MachineLearning · u/FrontRaspberry5060Sep 15

Current Research for those with limited compute [D]

...prediction using ESM-2.. I’ve set up a testing environment, but I’m finding it quite difficult to test ideas properly without the compute costs escalating. For example, you might be able to demonstrate in a short run that a new attention mechanism is faster or more...

Redditr/snowflake · u/thequerylabSep 13

Do you have any success stories on optimizing Snowflake cost. Any hidden tricks or anything worth highlighting?

...it'd be great to hear what you changed and roughly how much it saved.. Even small "I wish I knew this earlier" tricks are welcome..

LobstersLobsters [ai] · typesanitizerSep 9

Efficient and accurate systems for querying unstructured data

...video from a small town can cost millions in cloud compute credits. ML methods are also unreliable, returning incorrect results, which can lead to downstream errors. Finally, deploying ML for analytics requires knowledge of deep learning, data systems, programming, and other...

4 points1 replies

Companies and products named

2 posts
2 posts
1 post
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About this problem

Evidence

6 posts from 6 people in 6 places, about 1 a week over 50 days. Mostly on Lobsters [ai], r/MachineLearning, r/snowflake. Tools named alongside: Snowflake, BigQuery, Google Cloud, Claude.

Frustration Frustration 0 of 3· Seen on Reddit, Lobsters, App Store reviews, GitHub issues

How it was grouped

Posts that state a pain and match the "warehouse-cost" rule. First post Sep 9, 2026, latest Oct 28, 2026. Corroborated: 3 or more posts from 2 or more people or places. Method

The same problem elsewhere

Gemini compute costs spiral out of control

2 posts from 2 people on GitHub issues, Reddit. Unverified.

Model Context Protocol compute costs spiral out of control

2 posts from 1 person on GitHub issues. Unverified.

History

Momentum went from steady to fading.

Nov 4, 2026

Momentum went from fading to steady.

Oct 29, 2026

First seen with 3 posts.

Sep 25, 2026