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tobiadefami
searching Neon…
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Show HN: Codex Explorer, a local session manager for Codex CLI
(github.com)
4 points
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tobiadefami
2mo ago
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0 comments
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Show HN: Spreadsheets Cells with Uncertainty Distributions
(github.com)
4 points
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tobiadefami
4mo ago
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0 comments
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Show HN: A tool that makes sense of Reddit and YouTube product reviews
(github.com)
1 points
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tobiadefami
2y ago
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1 comments
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tobiadefami
2y ago
I got tired of spending hours digging through Reddit threads and YouTube comments when trying to figure out if a product was worth buying. So I built a thing. It's basically an AI-powered scraper that pulls reviews from Reddit and YouT
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tobiadefami
2y ago
Prompt library has also been implemented and can be opened with ctrl+shift+L; or cmd+shift+L on mac
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tobiadefami
2y ago
Great question, Unlike Jupyter or Deepnote where you write code directly, Probly is primarily prompt-based - you describe what analysis you want in natural language, and the AI generates and executes the appropriate Python code behind the s
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tobiadefami
2y ago
Docker config is already implemented—you can check out the repo now. Adding support for other LLM providers like Ollama is something to consider for future development. Thanks for the suggestion!
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tobiadefami
2y ago
Thanks for taking the time to try it out and share your thoughts. I really appreciate the detailed feedback from a real-world use case. Glad to hear the setup was smooth and that the chat box + import/export features worked well for yo
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tobiadefami
2y ago
I'm actually a fan of what the team at Quadratic is building. It's definitely the more mature product with a robust Python implementation and a well-designed interface that bridges spreadsheets and code. Their stack appears to be
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tobiadefami
2y ago
Probly doesn't have built-in test assertion functionality yet, but since it runs Python (via Pyodide) directly in the browser, you can write test functions with assertions in your Python code. The execute_python_code tool in our system
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tobiadefami
2y ago
haha! i'll consider it
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tobiadefami
2y ago
posted one about a week or so ago on my LinkedIn https://www.linkedin.com/posts/oluwatobiadefami_vibe-coding-...
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tobiadefami
2y ago
Or the AI is a man united fan and is hopeful for a top 4 finish this season :D
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tobiadefami
2y ago
Glad you like it!
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tobiadefami
2y ago
Thanks you! Right now, you can clone the repo and follow the instructions to run it locally with your own OpenAI key. I'm working on a hosted demo that will let you try it out directly without any setup. stay tuned :)
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Show HN: Probly – Spreadsheets, Python, and AI in the browser
(github.com)
171 points
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tobiadefami
2y ago
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34 comments
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tobiadefami
2y ago
Hi HN, I'm excited to share my project, Degrees of Torvalds. Inspired by the "The oracle of Kevin Bacon" concept, this tool maps the open-source community by tracing connections to Linus Torvalds through GitHub commit histori
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Degrees of Torvalds: Mapping the Open-Source Connections Through GitHub
(sixdegreesofgithub.com)
3 points
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tobiadefami
2y ago
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1 comments
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Thinking about prompts from a RAM point of view
(oluwatobiadefami.substack.com)
1 points
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tobiadefami
3y ago
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1 comments
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tobiadefami
3y ago
This blog post suggests approaching LLM prompt management by drawing parallels with RAM optimization and memory management techniques in programming, offering a new perspective on enhancing LLM efficiency.
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tobiadefami
3y ago
Datasynth is a pipeline for synthetic data generation and normalization operations using LangChain and LLM APIs. Using Datasynth, you can generate absolutely synthetic datasets to train a task-specific model you can run on your own GPU.
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Datasynth
(github.com)
2 points
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tobiadefami
3y ago
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2 comments