Ea

Easy to use Cluster-Compute software

Hacker News

Easy to use Cluster-Compute software

Hi HN! We're Jake, Jack, and Joe, the creators of Burla, the world's simplest cluster compute software. Believe it or not, it's still super common for research / data-analysis teams to handoff work to Engineering because they aren't able to easily scale analyses on their own. Engineering managers we spoke with frequently attempt to onboard these teams to tools like Apache Airflow, Prefect, Dask, or Ray, but these tools come with hidden tradeoffs and complexity that researchers often struggle with on their own. This is can be very painful for engineering managers who wind up acting like highly paid support/education staff, instead of focusing their real work. It's also very painful for research teams who are often blocked waiting on engineering/devops to help them. This is why we created Burla, it's designed to be simple enough for even complete beginners to scale python across thousands of VM's. It's open-source, works with GPU's, custom containers, and up to 10,000 CPU's in a single cluster. If you want to give it a try signup here: https://burla.dev/signup , and we'll send you a personalized instance with some free compute today!

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: single, using, open · Missing: mac, agents, macos
77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: 000, io · Missing: https docs, excited, just released
59%59% 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, education · Missing: mobile apps, ios, entrepreneurs
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
40%40% 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
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · 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

Ex
Extremely simple cluster-compute software60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Extremely simple cluster-compute software

Hacker News3
Ke
Keen Compute37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Keen Compute

Hacker News1
Softailed
Softailed50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Choosing Software Made Easy

Indie Hackers1$1,000,000/moanalytics
Us
Use Wa.me Easy50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Use Wa.me Easy

Hacker News1
Us
Use Wa.me Easy50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Use Wa.me Easy

Hacker News2
Co
Compute polynomials twice as fast45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Compute polynomials twice as fast

Hacker News139
Ea
Easy to use Sales Software38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Easy to use Sales Software

Hacker News2
Sh
Share compute functions while hiding the implementation61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Share compute functions while hiding the implementation

Hacker News4
Uninstalr
Uninstalr30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Uninstalr is an easy to use and very accurate software unins

Indie Hackerscommitment-side-project
Us
Use Apple's Metal API for Compute in C++45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Use Apple's Metal API for Compute in C++

Hacker News1