Al

AltSendme – Open-source p2p file transfer tool based on Iroh

Hacker News

AltSendme – Open-source p2p file transfer tool based on Iroh

Hi HN! I believe people here are somewhat familiar with Iroh - the p2p networking library. It does Hole-punching and make use of QUIC connections between endpoints to enable peer-to-peer connectivity https://www.iroh.computer https://news.ycombinator.com/item?id=44379173 https://news.ycombinator.com/item?id=4572755 Easiest way to make use of Iroh is through their in-house file transfer CLI tool called sendme https://www.iroh.computer/sendme Sendme uses iroh to establish direct links between devices for data transfer, and iroh-blobs to send and verify your files Features: - Free, for files & folders of any size - No account requirement - No server component - Fast - can saturate a 4Gbps connection. - Resumable fetching - Interrupted downloads pick up where they left off. - Integrity checks - Data is automatically verified for correctness on both send and receive. What I have built is something that complements sendme, Started with their CLI tool fork, made it into a Tauri desktop application with very simple but modern UI (yes, I have read https://news.ycombinator.com/item?id=45760878 , coincidence I guess) Altsendme has almost all the features that sendme offers plus it is interoperable with sendme CLI tool. Thank you.

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
78%78% 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 HackersIH features products with proven revenue · Strong signals: started · Missing: supports, reddit linkedin, podcasting
48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: plus · Missing: platform, intuitive, reviews
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: computer, new, open · Missing: mac, agents, macos
32%32% 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
13%13% 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.

Incorrect prediction on native model

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