Tamar Waziri

Tamar Waziri

Revolutionizing Healthcare with AI
17 points

About

Based in Toronto, leverages AI for drug discovery, personalized treatment plans, and medical imaging enhancement. Specializes in deep learning, genomics, and predictive modeling.

Work

Content at ChainGPT

Badges

Gemologist
Gemologist
Tastemaker
Tastemaker
Gone streaking
Gone streaking

Forums

Daniel

1mo ago

Most social tools feel like they were built for someone else.

My friend and I were running into the same brick wall over and over again: we'd attempt a tool, be excited for about 10 minutes and then it'd be like it was built for another team, another workflow, or honestly, another era.
Some were clunky. Some were too complicated. None of them worked how we needed.
So we set out to build Loopify, something we'd actually want to use ourselves:
Quick. Efficient. Simple. Doesn't get you thinking you require a training program just to book a TikTok.
We are looking for as much user feedback as possible. Talking with teams, individual creators, small brands, anyone who's had to fight through tools just to keep up online.
If that sounds like you, I'd love to hear:
What's your biggest friction point with current tools?
What's one teeny feature you'd love to have but never see?
Or just something you dislike doing that could be simpler?
Seriously appreciate any ideas you pitch our way.

Islam Akramov

2mo ago

What is the best deep research model?

We're currently working on a product Focal AI that helps users dive deep into research on any topic. One of our core features is called "Deep Research", and we're now at a key decision point: choosing the right AI model to power it.

After testing many of the current top-tier LLMs, we've found that most can handle broad, high-quality research prompts. But the results still vary a lot depending on:

  • The specific model

  • The domain of research

  • The depth of exploration required

We'd love to hear from you:

Should AI tools write feature flags for you?

We launched Bucket MCP last week and got featured in The Leaderboard.

@aaronoleary put it elegantly:

Whether you're using @Cursor, @Augment Code, or @Windsurf, you can just tell it what you want flagged, and the MCP server handles it. So instead of context-switching to write config files or CLI commands, you just prompt: flag the download button. That s it.

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