Ag

Agora, alternative to Colab for AI/ML devs

Hacker News

Agora, alternative to Colab for AI/ML devs

Hi HN! We’re excited to introduce Agora, a GPU-backed Jupyter Notebook environment for AI/ML development. Agora aims to solve common problems with traditional solutions by: 1) sourcing the cheapest, high-performance compute in the world 2) creating a user-friendly way to use it for building in AI. Link: www.agoralabs.io Anyone can begin using Agora in three steps. 1) Create an Agora Lab with your custom GPU specs 2) Mount your Google Drive for storage/uploads 3) Launch JupyterLab instance to get to work! We created some cool features to make using Agora frictionless and compatible: - Ability to connect Google Drive & upload existing Colab notebooks, datasets, models, etc. - Source cheap, high-performance GPUs from decentralized networks like Vast.AI and Akash Network. - Built-in profiler so you know when you're getting close to running out of VRAM. We’re a team of three students; we tried to fine-tune Llama a few months ago & realized we needed GPUs. All of our work was on Jupyter Notebooks/Google Colab, but the dreaded OOM errors made them unusable. Paying for the Colab Pro version didn't get us access to high-performance compute like we needed, and renting GPUs from cloud services quickly became too expensive. We’ve seen a ton of AI/ML development start with notebooks (much of our own has), only to become stunted by compute and performance restrictions. We built Agora to solve our own problem and hopefully do the same for many others. People have been using Agora for sandbox-style experimentation work, like fine-tuning models for different tasks, testing various Agent frameworks, speeding up embeddings for personal notes, and more. With inspiration from Colab and Sagemaker, we built Agora with the close input of hackers and engineers. We welcome anyone interested in trying it out and would love to receive any feedback! [1] Link: https://agoralabs.io [2] Docs: https://docs.agoralabs.io/introduction

Share card

Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agent, model, google · Missing: mac, agents, macos
94%94% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: created, compatible · Missing: supports, reddit linkedin, podcasting
94%94% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, exist, existing · Missing: https docs, just released, lua
70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: personal, month, google · Missing: mobile apps, ios, entrepreneurs
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: friendly · Missing: plus, platform, intuitive
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: introduce · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Do
Dockerfile Alternative for AI/ML34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dockerfile Alternative for AI/ML

Hacker News1
La
Lance – Alternative to Parquet for ML data60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lance – Alternative to Parquet for ML data

Hacker News85
I
I created an alternative to Crowdfunding for devs, programmers etc.56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I created an alternative to Crowdfunding for devs, programmers etc.

Hacker News10
Om
Omegle for Devs47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Omegle for Devs

Hacker News1
Sh
Shoot missiles at Ruby devs43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Shoot missiles at Ruby devs

Hacker News4
Du
Dumblr – tumblr for devs47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dumblr – tumblr for devs

Hacker News1
I
I made a Crunchbase competitor using alternative data and ML52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a Crunchbase competitor using alternative data and ML

Hacker News7
Br
Brushless – An AI-first alternative to Illustrator39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Brushless – An AI-first alternative to Illustrator

Hacker News11
Si
Signova AI – DocuSign alternative for $732%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Signova AI – DocuSign alternative for $7

Hacker News1
Dataslayer.ai
Dataslayer.ai50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

#1 Alternative to Supermetrics

Indie Hackersemployees-10-plus