Once you reach the point that itโs beyond the level of detail or specificity that youโd consider for a real human-dev-built MVP, then:
thatโs good, letโs compile a final version
workflow before every @AnthropicAI claude code session:
Help me refine this prompt to be as thorough and as clear as possible:
- initial prompt below
- you ask me Y/N questions (is this a good idea to change/add?)
- I respond
- you update the prompt
- continue til optimal
๐ @coblocks_hq launched! Build data pipelines in minutes with AI
"Unified tooling, instant deployment, and effortless collaboration in one streamlined platform."
๐ https://t.co/IplZRkAHeu
๐ ๏ธ All-in-one: You can get started in 2 minutes โ no setup or configuration required. They have one-click integrations, warehousing, transformation, and schedules all built in.
๐ Seamless integrations: Plug in your Postgres database, Stripe transactions, Hubspot leads, or any other data source, without writing code to keep things in sync.
๐ก Thoughtful AI: They love Cursor and they love data โ combining the two to help you write accurate queries. They use existing metadata like columns, tables, and relationships to help you create new datasets, connect sources, fix errors, or edit in place.
๐ฅ Collaborative: Easily share data and discover what others in your org have built as a starting place for your analysis. Wrap common blocks of logic with templates so your team never has to start from zero.
โก Resilient and Scalable: Their compute engine is lightning-fast for queries and builds. Git and branching are built-in for both code and data, so you can time-travel backwards when things break. You can start with GBs and grow to TBs.
Congrats @kevin_schaich & @nisolasho!!
https://t.co/LIpq3wIBqK
YC F24's @coblocks_hq helps teams build data pipelines in minutes with AI. Itโs an all-in-one platform that allows anyone to write queries & automate workflows faster, like Cursor for data engineering.
https://t.co/jmYbRqnXMk
Congrats on the launch @kevin_schaich + @nisolasho!
We're excited to announce that @Github has selected marimo to participate in its accelerator for open source AI projects! ๐
We're reinventing the Python notebook for modern AI/ML teams, and we've got lots to share in the coming weeks. Stay tuned!
https://t.co/o9RXBR9sGE