ram-dl – A tool to download more RAM written in Go

Hacker News

Hi HN! I've built ram-dl, a tool that allows you to upload and download RAM to/from your system. Run `ram-ul` to upload RAM, and `ram-dl` to download it. Well, sort of :P It works like this: 1. Starting a go-nbd server and client locally with r3map's Device API 2. Connecting the NBD server to a remote fRPC[1] backend provided by ram-ul 3. Calling mkswap, swapon and swapoff, which enables paging out to the block device provided by the NBD client and thus to the connected remote fRPC backend. Its mostly intended as a tech demo for go-nbd[2] and the WIP r3map[3] library (efficient distributed mmap with mounting and migration support), and just as a fun experiment in general. [1] https://frpc.io/ [2] https://news.ycombinator.com/item?id=35359473 [3] https://github.com/pojntfx/r3map

Visit product View on Hacker NewsJun 30, 2023

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: efficient · Missing: plus, platform, intuitive

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos

23%23% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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