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Ramanujan-Computing
Ramanujan
Java2025–2026
Ramanujan-Computing / Ramanujan

Ramanujan

The Ramanujan Platform aims to harness the idle computational power of various digital devices to create a powerful distributed network. This platform allows any device with basic arithmetic capabilities and internet connectivity to contribute to the network's computational power.

2Distinct people
3Mentions
0Explicit recommenders
20GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

The Ramanujan Platform aims to harness the idle computational power of various digital devices to create a powerful distributed network. This platform allows any device with basic arithmetic capabilities and internet connectivity to contribute to the network's computational power.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 12:01:02 AM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month3 dated mentions

Observed mentions: 2025-07-13 12:23:33 UTC to 2026-08-28 15:08:45 UTC.

0122025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 commentsJul 20252025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJan 20262026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-03-01 00:00:00 UTC to 2026-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-04-01 00:00:00 UTC to 2026-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-01 00:00:00 UTC to 2026-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-01 00:00:00 UTC to 2026-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-01 00:00:00 UTC to 2026-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-01 00:00:00 UTC to 2026-09-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsAug 2026

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC211
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC000
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC000
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC000
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC000
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC000
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC000
Mar 20262026-03-01 00:00:00 UTC2026-04-01 00:00:00 UTC000
Apr 20262026-04-01 00:00:00 UTC2026-05-01 00:00:00 UTC000
May 20262026-05-01 00:00:00 UTC2026-06-01 00:00:00 UTC000
Jun 20262026-06-01 00:00:00 UTC2026-07-01 00:00:00 UTC000
Jul 20262026-07-01 00:00:00 UTC2026-08-01 00:00:00 UTC000
Aug 20262026-08-01 00:00:00 UTC2026-09-01 00:00:00 UTC110

What Hacker News says

2 sources

Ramanujan-Computing: Distributed Computing with Idle Smart Devices: Open-Source

We're excited to share Ramanujan, a new open-source programming language and distributed computation platform that aims to unlock the vast, untapped processing power of modern smart devices. Imagine all those idle smartphones and smart TVs contributing to scientific research! The inspiration is simple: an Apollo guidance computer's CPU was as powerful as a modern scientific calculator. Today's smart devices are millions of times more powerful, yet they're mostly idle. Ramanujan helps utilize this power for scientific advancement. What is Ramanujan? Ramanujan is designed for distributed computation. Unlike platforms like BOINC, which often require project-specific clients, Ramanujan offers a universal interpreter. Project owners submit their code in the Ramanujan language, and participating devices, having installed the Ramanujan client on
Read the rest
ce, can execute any submitted computation. The interpreter is written in C++ and demonstrates significant performance gains: ~14% faster than CPython for a Gradient Descent algorithm (~350ms vs ~410ms). Over 20X faster than MATLAB for a Whale Optimization Algorithm (2.5 sec vs 55 sec for optimizing 10 functions). Key Features & Future Goals Performance: Faster than CPython and MATLAB for scientific computations. Open-Source: MIT licensed project, code available on GitHub. Device Compatibility: Binaries available for Android, macOS, and Ubuntu. Windows support is coming soon. Technically, any internet-connected device capable of basic arithmetic can run the interpreter once compiled for its architecture. Ease of Use: A new portal (portal.ramanujan.dev) makes it easy for anyone to run Ramanujan jobs. An installer is also available for local desktop machines (Ubuntu, MacOS). Our near-future goals are focused on Python compatibility: Full Python Adoption: Allow state-of-the-art Python research code to run seamlessly on Ramanujan without modifications, by adopting Python constructs and grammar. CFFI Integration: Enable associated CFFI code to run alongside Python scripts. Expanded Device Support: Make clients available for a wider range of smart devices (fridges, washing machines, etc.) to maximize global compute contributions. This project has the potential to significantly reduce e-waste and carbon emissions by leveraging existing hardware. We believe it can revolutionize computing for scientific research. Get Involved! Ramanujan is in its nascent stage, and we're actively seeking contributors! Whether you're passionate about programming, compilers, distributed systems, or simply want to contribute to an impactful open-source project, we invite you to join us. Students are especially welcome to learn about compilers, distributed orchestration (our current service orchestrates thousands of computations with just a 2-core CPU!), and large-scale systems. Checkout the project: Portal: https://portal.ramanujan.dev GitHub: https://github.com/Ramanujan-Computing/Ramanujan Let's collaborate to push Ramanujan forward!
3 points · Open discussion

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