Viewing profile — naikas82
naikas82
HN member- Joined
- Thu, Mar 08, 2018, 11:46 AM UTC
- HN karma
- 9
- Public activity
- 15 items
- HN profile
- View on Hacker News ↗
About naikas82
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Recent public activity
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Comment #48092446
First time posting my project. I am working on an LLM based graph visualization. The App helps Product Managers, Sales Reps and Architects quickly understand an enterprise software…
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Ask HN: Can I publish AI-Generated of YouTube videos without IP Issues?
I used GenAI to create an audio summary of several YouTube videos, incorporating transcripts and key points from the content. The final output is an audio overview that sounds like…
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Comment #34623579
Make any FAQs and Tech Documentation humanish interactive. What say?
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Comment #30404231
I agree. But does the frameworks, case studies and business case analysis help in real-life? Why these courses are so expensive? Do they guarantee a certain level minimum pay/job g…
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Ask HN: Is MBA Necessary for Product Management?
I see a rising trend to hire MBA grads for product management roles. As one matures in a PM role, is it important to do an MBA to advance in more executive type of roles e.g. Head/…
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Comment #25901063
Thanks! Will take a look at it.
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Ask HN: Python repo for abstractive summarization anyone?
I noticed that I don't read the entire news article anymore. I look for most important details, but they are scattered and not always crisp. I have looked around for APIs and toolb…
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Comment #23320033
Thanks. Will do it now ;)
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Comment #23283382
I built a lightweight streamlit app to understand financial terms, fundamental ratios, and performance metrics. It uses fmpcloud to pull periodic data like stock prices, annual sta…
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Comment #23177275
I am working on a streamlit app that helps me understand financial statements and fundamental ratios (PB, PE ratios, EPS, etc.) of traded companies. The stack is basically python +…
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Comment #22932312
I was looking for something like this. But with add-on to summarize the news text as close as human. Any idea???
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Ask HN: Looking for abstractive news summary based on machine learning
I noticed that I don't read the entire news article anymore. I look for most important details, but they are scattered and not always crisp. I have looked around for APIs and toolb…
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Ask HN: Not-so Glassdoorsy/lesser known hacks to get promoted
In my recent discussion with my manager, I was told about the "usual" (aka Inc.com, Glassdoor, etc.) rules of promotion. Be visible, prepare your case, share results. I find them o…
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