dltHub is the creator of data load tool (dlt)
Joined November 2022
- Tweets 395
- Following 21
- Followers 573
- Likes 255
101 Photos and videos
Building pipelines with AI usually means losing context between tools.
dltHub AI Workbench runs the full 12-step workflow as a continuous session, schemas, incrementals, traces, transformations, and notebooks share context across the stack.
dlthub.com/blog/agentic-data…
4
245
How much data can $1 of compute move?
We benchmarked dltHub on a small worker (2 vCPU / 4 GB) loading into BigQuery:
Parquet: ~170 GB
Postgres: ~65 GB
JSON: ~4.6 GB
REST: whatever the API allows
Methodology results ↓
dlthub.com/blog/benchmark-dl…
5
93
The new dltHub AI Workbench Data Quality Toolkit starts from context your pipeline already knows: schema contracts, keys, constraints, and sampled values.
Plain-language business rules → checks that run on every load.
dlthub.com/blog/dq-toolkit-p…
2
95
Agentic Analytics Demo Night lands in San Francisco this Wednesday 🚀
We're joining @inngest, @lightdash_devs, and @streamkap for an evening of demos from teams building at the intersection of AI, analytics, and data infrastructure.
🧵
1
1
6
144
At dltHub, @elviskahoro will demo our new Transformations public preview.
Expect demos from practitioners and startups building real-world AI and data systems, and a look at what agentic analytics looks like in practice.
📅 June 3 · SF
luma.com/gl94l89s
5
117
What does it take to build a product people actually keep using?
On Wednesday, we're hosting @sameer_alsakran, Founder & CEO of @metabase, at our office in Berlin for a live conversation with Francesco Mucio from Data Berlin.
🧵
1
1
6
263
Sameer started Metabase as a side project, waited years before charging, ignored conventional SaaS advice, and built a product now used by 90k companies with 8-figure ARR.
We'll discuss OSS, AI, customer feedback, and building products that last.
luma.com/bv3xvi4f
1
7
90
We’ll cover:
→ turning agent traces into dashboards for AI adoption, cost, and real business impact
→ how teams use Modal Sandboxes to run agents safely, plus a live background agent demo
📅 May 27 · 6–8 PM GMT 2
📍 Berlin
luma.com/ac6rt5od
1
4
115
dltHub retweeted
May 22
The open source AI stack walked into a bar in Silicon Valley. Ingestion, retrieval, and metadata all showed up.
🚀 The community came through at our event with @dltHub & @LanceDB for a night of technical talks built for engineers actually shipping AI in production. No fluff. Just engineers talking shop.
Stay tuned for more community meetups!
1
5
99
dltHub retweeted
May 25
Three production stories from @GrabID, @dltHub, and @iFood. Three very different starting points. One shared foundation. 🤝
Our May Town Hall brings together the teams answering the same question from very different angles: how do you make context actionable for AI at scale? 📈
Register: luma.com/k0fri4bt
2
3
153
dltHub retweeted
May 14
Some of the best open source AI conversations happen in person. We're joining @dltHub and @LanceDB in Menlo Park on May 21 for technical talks and demos from the engineers building the ML stack. Join us!
👉 luma.com/80pocni3
1
2
4
195
dltHub retweeted
May 13
Next Thur May 21: @lancedb x @dltHub x @DataHubCloud demystifying the missing data layer for ML:
- Lance, the default storage layer for multimodal AI
- dltHub, the connective tissue of your AI data stack
- Supercharging Cortex with DataHub
luma.com/80pocni3
1
2
4
131
The AI stack is evolving fast, but reliable data movement is still the foundation.
Join dltHub, @LanceDB and @DataHubCloud on May 21 in Menlo Park for talks on multimodal AI storage, AI data pipelines, and trusted lineage systems.
🔗 luma.com/80pocni3
1
3
92
How fast can you go from zero to a production-ready data pipeline when AI is your copilot?
Next Wednesday, @elviskahoro joins @temporalio alongside @nyghtowl and @cecilphillip for a live Vibe Check building a GitHub-powered pipeline with AI dlt.
1
4
90
In under 10 minutes, we’ll cover:
- AI-assisted pipeline setup
- GitHub → dlt workflows
- Where AI helps vs where engineers still need to steer
- How to inspect & validate pipelines
📅 May 20 · 10 AM PST
📍 Live on YouTube
Watch live: luma.com/ir410q6l?tk=hO5ZL3
1
4
713
Explainer on ontology engineering and what we're building around it: why just clean schemas and prompts aren’t enough, and how adding a canonical model taxonomy ontology changes what agents can correctly compute (ARPU being the clearest example).
dlthub.com/blog/ontology-eng…
2
101
We’re excited to share that Violetta Mishechkina will be speaking at GOSIM Paris 🇫🇷
Invited by @probabl_ai to join the “Own Your Data Science and AI” workshop.
🎤 From Agent Traces to Analytics
Agents generate code, text, telemetry, yet most teams still rely on stale datasets.
1
2
108
We’ll show how agents can power data pipelines as code, turning traces into fresh, reliable datasets.
Stack: dlt, LanceDB, Pydantic, Ibis, HuggingFace more → behind our agent evaluation platform.
📅 May 5 | 🕒 12:20–12:40
📍 Station F, Paris
paris2026.gosim.org/schedule…
2
101