dbt Labs empowers data teams to build reliable, governed data pipelines—accelerating analytics and AI initiatives with speed and confidence.
Users appreciate dbt for its ability to efficiently transform and model data, enhancing data visibility and pipeline reliability. Key complaints center on the learning curve for new users, and some advanced features could be more user-friendly. Feedback on pricing suggests it's reasonable for the value provided, especially considering its impact on data workflow efficiency. Overall, dbt holds a strong reputation as a powerful tool in the ETL and data transformation landscape.
Mentions (30d)
0
Reviews
0
Platforms
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GitHub Stars
12,698
2,374 forks
Users appreciate dbt for its ability to efficiently transform and model data, enhancing data visibility and pipeline reliability. Key complaints center on the learning curve for new users, and some advanced features could be more user-friendly. Feedback on pricing suggests it's reasonable for the value provided, especially considering its impact on data workflow efficiency. Overall, dbt holds a strong reputation as a powerful tool in the ETL and data transformation landscape.
Features
Use Cases
Industry
information technology & services
Employees
900
Funding Stage
Merger / Acquisition
Total Funding
$433.9M
12,698
GitHub stars
20
npm packages
Pricing found: $100, $100/mo, $100/mo, $1,100
i feel ai helps me solve problems, but my thinking process just disappears
i’ve been using claude code a lot, and something started to bother me. i solve a problem, but later i realize i have no idea *how* i solved it. it feels like the whole process just gets volatilized. so i made a simple claude plugin called nvm (non-volatile memory). it just turns my claude session history into simple markdown cards — focused on what problem I solved, why I made certain decisions, and what I can reuse later. i’ve been using it for weekly/daily review, and it actually helps me remember what I learned (not just what I shipped). also feels useful for sharing context with teammates. curious if others have the same problem — do you ever go back to your AI conversations, or do you just solve things again? or maybe this isn’t even a real problem for most people? https://preview.redd.it/fyuohd7u4jtg1.png?width=1080&format=png&auto=webp&s=8bbe228899e81c46c8e6393328c0431fa75c64a8 submitted by /u/Legitimate-Cup-3172 [link] [comments]
View originalI gave Claude a clinical spine. It stopped giving advice and started actually thinking with me.
I’ve been building something I call Satori for about a year now. It’s a Claude skill, open source, and it does something I haven’t seen any other AI project do well: it treats conversation like a discipline, not a performance. Most AI “wellness” or “self-reflection” tools are just a system prompt that says “be empathetic.” The result is what you’d expect. Vague validation, a list of suggestions, and a tone that feels like a customer service bot wearing a therapist costume. Satori is built differently. Under the hood, it has what I call a clinical spine. Every conversation moves through a structured process (attune, clarify, formulate, integrate, translate, anchor), but the person on the other end never sees that scaffolding. They just feel like they’re talking to someone who’s actually paying attention. It draws on real frameworks and uses them as tools, not decoration. Rogers, Jung, Stoicism, IFS, DBT, Motivational Interviewing, Buddhist and Taoist contemplative traditions. The skill selects which framework fits what you’re actually going through, applies one per response, and ties insight to movement. The goal is never just “I feel heard.” The goal is “I see something I didn’t see before, and I know what to do next.” Here’s the thing I’m most proud of, and the thing that sets it apart from anything I’ve found: I built it so that sometimes it stops trying to help. If it detects you’re in deep, non-clinical despair, the 3am kind, it shifts into what I call the Dark Night Protocol. It drops the movement imperative entirely and just stays present. No reframing, no silver linings, no “have you tried journaling?” It just sits with you. I know that sounds like a small thing. It’s not. Every AI tool I’ve tested defaults to fixing. The ability to just witness, without flinching, is the hardest thing to engineer and the most human thing it does. Try it yourself before you install anything: Here’s a shared conversation that shows what Satori actually sounds like when someone brings something real to it. That’s the best way to decide if this is worth your time. If you want to install it: download the zip from the GitHub repo, go to Customize → Skills in Claude, and upload it. Takes about 3 minutes. It’s Apache 2.0 licensed. Free. The whole architecture is transparent. You can read every reference file to see exactly how it’s weighted and why. I’d genuinely love feedback from this community. Stress-test it. Tell me where it breaks. Tell me where it does something you didn’t expect. That’s how it gets better. submitted by /u/crazynfo [link] [comments]
View originalRepository Audit Available
Deep analysis of dbt-labs/dbt-core — architecture, costs, security, dependencies & more
Pricing found: $100, $100/mo, $100/mo, $1,100
Key features include: Built for the cloud, Modular by design, Optimized for collaboration, Learn, share, grow, Built with—and by—the community, Integrates with your tools, Compliance at scale. Trust at every layer..
dbt is commonly used for: Transforming raw data into analytics-ready formats for business intelligence tools., Automating data transformation workflows to reduce manual coding efforts., Facilitating collaboration among data teams through shared models and documentation., Enabling version control for data transformations to track changes over time., Integrating with cloud data warehouses for seamless data management., Supporting data governance and compliance through structured transformation processes..
dbt integrates with: Snowflake, BigQuery, Redshift, PostgreSQL, Looker, Tableau, Airflow, Slack, GitHub, Fivetran.
dbt has a public GitHub repository with 12,698 stars.
Matt Bornstein
Partner at a16z
1 mention

dbt Core v1.11: Release updates, roadmap, and Q&A with the dbt Core team
Apr 3, 2026