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Eleuteria – a privacy-first RoboSats coordinator

Hacker News

Eleuteria – a privacy-first RoboSats coordinator

I’m the operator behind Eleuteria. Eleuteria is a new coordinator in the RoboSats federation. I started running it because I like the idea of having multiple independent coordinators rather than relying on a single operator for P2P Bitcoin trading. Privacy comes first. The service is accessible over Tor, uses Lightning, and doesn’t require accounts or KYC. It’s still new, so at this stage I’m mostly interested in getting real usage and feedback: more orders, successful trades, and reports when something doesn’t work as expected. If you already use RoboSats, you can select Eleuteria as a coordinator. If you don’t know RoboSats, the project itself is also worth looking into. Eleuteria: https://eleuteria-robosat.github.io/ Happy to answer technical questions here.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, single · Missing: mac, agents, macos
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
45%45% 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: trading · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
29%29% 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
14%14% 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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