Self-hosted person-to-person WebRTC service

Hacker News

I've lurked until now, and I'm attention-averse, but here is my toy. I'm certain that I'll regret this, and I'm not sure how much time I'll have to monitor it or follow up, but on the off chance that someone here is stuck at home and wants to play, here it is. https://jerome.puptel.net/abracadabraalakazam The service is hosted on a CPU-optimized DO droplet in San Francisco. I've set the maximum number of calls to 10, but I have no idea what the real limit will be. I'll try to keep an eye on it. I'll leave it up until someone finds a critical bug or I find that no one is using it. I post this in response to having read apenwarr's grumpy opinions about remote work at Tailscale, linked here a few days ago (https://apenwarr.ca/log/20200309). One option that wasn't listed is self-hosting Jitsi (https://meet.jit.si/), something I feel is a much better self-hosting option than what I'm showing you here now.

Visit product View on Hacker NewsMar 15, 2020

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5points

1comments

Did not reach leaderboard

Launch Intel predictions

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

75%75% 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.

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

68%68% 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 · Missing: mobile apps, ios, personal

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

22%22% 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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