Le

Lexe – Self-Custodial Lightning Nodes in TEEs, Python and Rust SDKs

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Lexe – Self-Custodial Lightning Nodes in TEEs, Python and Rust SDKs

Lexe is next-generation Bitcoin infrastructure: self-custodial wallets and SDKs that are easy to use, always online, and hosted for free. Your keys are protected by secure enclaves, allowing your node to stay online 24/7 and receive payments reliably. New in this release: - First ever public release of Lexe Wallet on the App Store and Google Play - Human Bitcoin Addresses (BIP 353): receive Bitcoin at ₿yourname@lexe.app - Python and Rust SDKs, published to PyPI and crates.io - Open source node, app, and SDKs published at https://github.com/lexe-app/lexe-public

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Actual performance

5points
3comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · 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: open source, io · Missing: https docs, excited, just released
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, way · Missing: mobile apps, ios, personal
28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: google, new, open · Missing: mac, agents, macos
26%26% 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
19%19% 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
14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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