Roop Reddy

Co-founder @ | Building documentation for humans & AI | Previously founded (acquired by Moxby)

[Roop Reddy @roopreddyt]

@nvidia bought @huggingface for $12.9 billion. Here's my take.

Nvidia’s real threat is that it's biggest customers are becoming its competitors. Google has TPUs, Amazon has Trainium.

You can fight that by building better GPUs, but Nvidia is playing one layer higher and it’s doing it in two ways now.

One: Own the distribution.

Hugging Face doesn’t own model IP now; it owns something arguably more valuable: where developers go to choose models. A million public model repos. The place where developers decide on the model, the quantization, and the inference provider. If you own that decision point, you own the moment right before the compute decision.

Two: Own the supply.

Nvidia is spending heavily on Nemotron, its own open-weight model family.
Reportedly ~$6B on a model north of a trillion parameters, with 100+ poolside engineers pulled onto the project. The chip company is now shipping open models that compete for the same workloads its hardware powers.

Why now, though?

Open weights are increasingly coming from China. China accounts for roughly 41% of Hub downloads over the past year. Meanwhile most US enterprises still won't deploy those models, even hosted on US infrastructure. That gap is real, and Nvidia just exploited it. It supplies the open models, and owns the shelf they ship from.

Short term - probably good for open source.
Long term - intelligence is still controlled by a few companies. We need to see distributed compute, not just open models.

[Roop Reddy @roopreddyt]

We're sitting on 100K+ in cloud credits from AWS, Google Cloud, and Azure.

We still don't use them to host most of our applications. We deploy on @render, @supabase, and @vercel instead.

Why pay to host what your credits already cover for free? Because the credits are a trap dressed as a discount.

The savings look obvious on paper. But if you deploy on them, someone owns the DevOps and babysits the deploys. You ship slower, so you hire more engineers to move at the speed you already had for free.

That trade is almost never worth it. Not unless you have a DevOps team sitting idle, which most small teams don't.

We only reach for the big clouds when there's heavy GPU and CPU work and inference. Our fine-tuned model lives there. That's the whole list.

If you're a small team, look hard at your stack before you chase credits.

[Roop Reddy @roopreddyt]

@porthlinecal Valid ownership is the filter, not cost. We only build things we'd end up debugging anyway. Anything outside that circle, we buy.

[Roop Reddy @roopreddyt]

The build vs. buy rule I use now:

Whatever gets us shipping faster wins.

As an engineer, my instinct is always to build.

But AI has changed the equation.

Building is easier than ever. Maintaining what you build still costs time, attention, and mental bandwidth.

We recently moved our website + blog from Framer CMS to our own Git-based CMS.

Why?

Our marketers and PMs already live in Git + Claude Code. With Framer, formatting, editing, uploading, and publishing took longer than writing the content itself.

Now, updates are faster, and blogs take a fraction of the time.

So I don't ask: “Is it cheaper to build?”

I ask: “Which option helps us move faster?”

In the AI era, speed is the moat.

What’s the last thing you bought that you should have built or built that you should have bought?

[Roop Reddy @roopreddyt]

@MaxMusing 100%..Thats why COSS exists even before AI and thriving. Lot of code is available for free even before AI.

[Product Hunt Today 🚀 @ProductHunToday]

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🔼 483

Build and update product documentation effortlessly with AI

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[Roop Reddy @roopreddyt]

@Davidjpark96 I found something interesting: Their search traffic has not gone down yet; in fact, it increased slightly YOY. Anyway, sad to see their stock going down, hopefully it recovers.

[Roop Reddy @roopreddyt]

@theresanaiforit https://t.co/7Bv5YvvrJl AI Writing and learning tools for students

[Kiran Bharambe @Bharambe2Kiran]

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[Paperguide @paperguideai]

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[Paperguide @paperguideai]

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[Paperguide @paperguideai]

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[Paperguide @paperguideai]

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[Paperguide @paperguideai]

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[アカデミアノート @HAcademianote]

Paperguide、研究者用のオールインワンツールとして2024夏に登場🙌

＜主な機能＞
・AIライター
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・論文検索サポート

特にAIライターがおすすめ😊文章の自動生成、文法チェック、引用文献の挿入、盗用チェックがPaperguideだけで完結。作業フロー抜群です！　@paperguideai

[アカデミアノート @HAcademianote]

解説記事はこちら #paperguide
・Paperguideの機能４選
・Paperguideの料金プラン
・Paperguideの料金プランの違い
・Paperguideの始め方
https://t.co/gLpbh7Fo70

[Paperguide @paperguideai]

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[Roop Reddy @roopreddyt]

@FedotOff90 scale

[AIcouldDOthat @AIcouldDOthat]

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[Roop Reddy @roopreddyt]

Paperguide was No 1 product of the day! If there is a sufficient interest, will write a detailed and actionable blog post about it. Just reply with "Interested" in the comments.

[Product Hunt Today 🚀 @ProductHunToday]

🔥 Top 5 on Product Hunt yesterday
📅 August 23, 2024 #ProductHunt

1. Paperguide 🔼 618
2. Next Alpha 🔼 585
3. Face Animator 🔼 242
4. uBest 🔼 226
5. Trace 🔼 208

🧵 Detail & links in the thread 👇