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tevador
RandomX
C++2019–2026
tevador / RandomX

RandomX

Proof of work algorithm based on random code execution

20Distinct people
23Mentions
0Explicit recommenders
1.7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Proof of work algorithm based on random code execution

GitHub

Where it is used

No documented product use was verified in the last source check.

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, 9:01:12 PM 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 year23 dated mentions

Observed mentions: 2019-03-09 20:48:56 UTC to 2026-08-08 16:43:35 UTC.

02462019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 5 mentions; 0 submissions, 5 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 6 mentions; 0 submissions, 6 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

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
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC404
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC312
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC505
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC606
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC202

What Hacker News says

2 sources
Equihash (Birthday Problem): Memory Hardness https://en.m.wikipedia.org/wiki/Equihash RandomX (Execution of a random program): Memory Hardness (Inc. cache sizes), Speculative Execution/Branching, ILP, some sort of chaining https://github.com/tevador/RandomX/blob/master/doc/design.md Edit: these are examples of CPU-bound PoW. But the general idea with PoW is that you have some hash-like function H() with no known inverse function such that the only feasible way to determine the output is just running the function. The client runs H(x) with a different input x every time. If the output is a high enough number, the server lets the client though. The server runs H() to verify, and this is easy to parallelize. But in order to get through the server, the client must run H() many times on average. Also server provides a salt to prevent the clien
Read the rest
t from reusing their old hashes. And the server usually indicates how high the output of H() must be (this is called the difficulty).
In Proof-of-Work Defense for Onion Services

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