Mastodon Quick Start in 280 Characters (Including This Title)

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Mastodon Quick Start In 280 Characters (Including This Title) 1) Pick a server at https://joinmastodon.org/ that admits new users. 2) Register account and confirm email. 3) Search for users or check out the "Trending" tab. 4) Follow and engage with users. Mastodon works like Twitter. ------- The whole guide including the headline are exactly 280 characters long :) The philosophy behind this is that it is more important to seize current ripples in the social media space and get people to check out decentralized social media than it is to have its principles understood. There are risks, but the are low and justified in my opinion. The main thing to avoid in my opinion is to have people unexpectedly loosing their data. Regarding this, I see two these two main risks of this oversimplified approach: Server shutdown: By guiding the users to a server of https://joinmastodon.org/, it is unlikely that the server will shut down without notice. (Note that twitter can cease operation too, although this is more unlikely.) Getting banned: Account can be redirected. (Note that getting an account banned for violating the rules can happen on twitter too.) Feel free to copy, modify and use it however you feel. My hope is to encourage people to check out decentralized social media.

Visit product View on Hacker NewsDec 31, 2022

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

67%67% 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, including · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

15%15% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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